

TL;DR:
The way shoppers buy online has shifted and customers are at the center.
They no longer want to scroll through product pages, dig through FAQs, or wait 24 hours for an email reply. They open a conversation, ask a specific question, and expect a useful answer in seconds. Brands that can’t deliver these experiences at scale are seeing customer hesitation turn into abandoned carts and lost revenue.
This shift has a name: conversational commerce. It's the practice of using real-time, two-way conversations as your primary sales channel, through chat, AI agents, messaging apps, and voice.
What started as an experiment for early adopters has become a key growth lever, with 84% of ecommerce brands treating conversational commerce as a strategic pillar this year vs. last year.

We surveyed 400 ecommerce decision-makers across North America, the U.K., and Europe to understand how conversational commerce and AI are reshaping the ecommerce landscape. These findings are complemented by aggregated and anonymized internal Gorgias platform data from 16,000+ ecommerce brands.
The State of Conversational Commerce in 2026 trends report breaks down all of the findings, including five key trends shaping the ecommerce landscape.
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A few years ago, adding an AI chatbot to your site that could provide tracking links and Help Center article recommendations was a differentiator. Today, it's table stakes. McKinsey found that 71% of shoppers expect personalized experiences, and 76% get frustrated when they don't get them.
Right now, most ecommerce professionals use AI, with 93% having used it for at least 1 year. Enthusiasm is accelerating quickly, with only 30% of ecommerce professionals rating their excitement for AI at 10/10 in April 2025. Similarly, while AI adoption rose steadily year over year, it reached a clear peak in 2026.

The use cases driving this adoption are practical and high-volume:

These are the tickets that flood brands’ inboxes every day. AI agents resolve them instantly, without pulling teams away from conversations that actually require human judgment.
Explore AI adoption and use case data in more depth in the full report.
The traditional ecommerce funnel, visit site, browse products, add to cart, check out, is losing ground. Shoppers now discover products on Instagram, ask questions via direct message, and complete purchases without ever visiting a website.

Conversational AI is actively increasing revenue, with 79% of brands reporting that AI-driven interactions have increased sales and conversion in their business.

The practical implication is that every channel is becoming a storefront. Creating personalized touchpoints with customers earlier in the journey, through proactive engagement, is impacting the bottom line.
Read the full report to explore how AI conversions have increased QoQ by industry.
Pre-purchase hesitation is one of the biggest conversion killers in ecommerce. A shopper lands on your product page, has a question about sizing or compatibility, can't find the answer quickly, and leaves. That's a lost sale that had nothing to do with your product.
Conversational AI changes that dynamic. When a shopper can ask a question and get an accurate, personalized answer in real time, the friction disappears.
Brands using Gorgias saw this play out at scale in 2025. When AI Agent recommended a product, 80% of the resulting purchases happened the same day, and 13% happened the next day.

Brands are further accelerating the buying cycle through proactive engagement. On-site features such as suggested product questions, recommendations triggered by search results, and “Ask Anything” input bars drove 50% of conversation-driven purchases during BFCM 2025.
Explore how AI is collapsing the purchase cycle in Trend 3 of the report.
There's a persistent narrative that AI is making CX teams redundant. The data tells a different story. 62% of ecommerce brands are planning to grow their teams, not cut them. But the scope of those teams is changing.

New roles are emerging around AI configuration and quality assurance. Teams are investing in technical members to write AI Guidance instructions, develop tone-of-voice instructions, and continuously QA results.
CX teams are also bridging the gap between support goals and revenue goals, as the two functions increasingly overlap.

The result is CX teams that are more technical than they were before. Agents who once spent their days answering repetitive tickets are now spending that time on higher-value work: complex escalations, VIP customer relationships, and improving the AI systems and knowledge bases that handle the volume.
Learn more about the evolution of CX roles in Trend #4.
Despite increasing AI adoption, data shows that ecommerce brands shouldn’t strive for 100% automation. Winning brands are building systems in which AI handles repetitive tier-1 tickets, and humans handle complex, sensitive cases.

AI handles speed and scale. It resolves order-tracking requests at 2 a.m., processes return-eligibility checks in seconds, and answers the same shipping question for the thousandth time without compromising quality.
Human agents handle conversations that require context, empathy, or decisions that fall outside the standard playbook. There are several topics where shoppers still prefer human support.

Successful hybrid systems require continuous iteration, meaning reviewing handover topics, Guidance, and reviewing AI tickets on a weekly basis.
Discover how leading brands are balancing human and AI systems in Trend #5.
The 2026 trends are about expansion and standardization. The 2030 predictions are about what comes next.

Voice-based purchasing is the biggest bet on the horizon. Only 7% of brands currently use voice assistants for commerce, but 89% expect it to be standard by 2030. The vision is a customer who can reorder a product, check their subscription status, or manage a return entirely over the phone.
Proactive AI is the other major shift. Rather than waiting for a customer to reach out, AI will anticipate needs based on browsing behavior, purchase history, and where someone is in their relationship with your brand. Think of it as the digital equivalent of a sales associate who remembers what you bought last time and knows what you're likely to need next.
Explore where ecommerce brands are allocating their AI budgets in the full report.
The brands winning in 2026 are creating smart, scalable systems where AIhandles volume and humans handle nuance. They’re treating every conversational channel as an opportunity to serve and sell.
The data is clear: AI adoption is accelerating, customer expectations are rising, and the revenue impact of getting this right is measurable.
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TL;DR:
In 2025, chat’s growth outpaced email by 2.5x quarter over quarter. Chat has become our most powerful customer experience tool for how shoppers discover products, ask questions, and decide to buy.
We knew it needed an upgrade, so we reimagined the entire experience from the ground up.
The result is 36% more engagement with product recommendations, nearly 2.25x more shoppers add-to-cart, and 7.3% more customer engagement.
In this post, we'll walk you through our thinking, what’s new in Chat, and how brands are already seeing big gains.
Chat has outpaced email support. Today’s shoppers prefer the speed of quick chat conversations over email. And when shoppers make a new move, we watch, listen, and move with them.
This behavioral shift isn’t happening in isolation. It aligns with the rise of conversational commerce and proves a universal move toward real-time conversations in ecommerce.
In fact, the signals were already there. Two years of building AI Agent showed us just how much design shapes behavior. The interface is the experience, and we knew that pushing chat experiences to closely resemble human interactions would transform how shoppers engage.
Our new and updated chat brings that vision to life. We believe that shopping is moving from static pages to conversations. This new update is built for how people actually want to shop.
The new design turns live chat into an interactive shopping surface made for modern shoppers. We've brought together multiple ways for shoppers to jump into chat, added clickable replies instead of typing, browsable product cards right in the conversation, and quick cart access.
Let's walk through what's new.
Chat now comes in a softer color palette that adapts to your store’s branding. We removed message bubbles in favor of an airy design that brings in the familiarity of speaking to your favorite conversational AI assistant. Every interaction now has the breathing room for deeper conversation and personalization.

It’s now easier for shoppers to get an answer with quick reply buttons and suggested questions in Chat. This replaces the tree-based flows of the previous Chat, removing the need to follow a fixed path. Shoppers can find answers faster without typing text-heavy explanations.

Browsing and buying within Chat is now possible. Previously, it only supported product links that would open in a new page. With the upgrade, you can view item details without leaving the conversation. Shoppers can browse, compare products, and add to cart in one place.

We’re keeping the context by removing the external redirects. The new interface lets shoppers browse product recommendations right in chat. View key product details, images, descriptions, variants, and pricing without opening a new tab.

Chat adds clickable questions on product pages — like “Is this true to size?” or “What’s the difference between shades?” — designed to match what a shopper is likely wondering in the moment. These context-aware prompts help remove buying hesitation before shoppers even think to ask.

Chat adds instant access to shopper actions, like a cart button and an orders button for returning customers. Shoppers can jump straight to their cart or check on an existing order without waiting for an agent to give them a status update.

Every update in Chat drives performance. We didn’t simply give it a makeover, we also fine-tuned its underlying mechanics.
When product suggestions are easy to browse, shoppers interact with them more. The new product cards make shopping feel natural, allowing customers to explore items at their own pace. That convenience led to a 36% increase in engagement with recommended products.
Chat keeps the entire shopping journey inside the conversation, from browsing and asking questions, to adding to cart and checking out. This new layout removes the usual tab-switching between chat and the website. Less friction has led to more than double add-to-cart actions than before the redesign.
Chat's cleaner design and contextual entry points make it easier for shoppers to start a conversation. With suggested questions on product pages and quick reply buttons, more visitors are choosing to engage earlier in their journey. This has resulted in a 7.3% lift in chat engagement.
Conversational commerce has moved from concept to reality. Chat makes it part of the everyday shopping experience, letting shoppers browse, ask questions, compare products, and check out in one interaction. It brings the ease of the in-person shopping experience into the digital world.
We built Chat to redefine the shopping experience. We hope you see it reflected in your customers’ journeys.
Book a demo to see what's possible with the new experience.
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TL;DR:
A year ago, ecommerce brands were still debating whether AI was worth the investment. That debate is over. Today, nearly every ecommerce professional uses AI to do their job.
The shift isn't just about adoption. It's about what AI is used for and how brands measure its impact. Support automation was the entry point. Now, AI is embedded across the full operation, from product recommendations to inventory control to real-time shopping conversations.
In our 2026 State of Conversational Commerce Report, we break down trends on AI usage among 400 ecommerce decision-makers and 16,000+ ecommerce brands using Gorgias.
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If we rewind 12 months ago, the industry was still split on AI. Some ecommerce professionals were excited, but most were still hesitant. In 2024, 69% of ecommerce professionals used AI in their roles. By 2025, that number reached 77%. In 2026, it hit 96%.

The confidence numbers back it up. 71% of brands say they are confident using AI for ecommerce, and 73% are satisfied with its business impact.
In early 2025, only 30% of ecommerce professionals rated their excitement for AI at 10/10. Today, zero percent of respondents describe themselves as hesitant about AI.

Using AI in ecommerce is not new. In fact, it dates back to the 1980s with the invention of algorithms and expert systems. And if you’ve ever leveraged similar product recommendations or chatbots, you’ve already integrated AI into your ecommerce stack.
Modern AI is far more sophisticated.
With the rise of agentic commerce and conversational AI, brands began leveraging AI agents to automate the processing of repetitive support tickets. That’s still happening today, but the scope has expanded beyond the support queue.

Ecommerce brands are deploying AI across every layer of their operation:
When brands were asked which channels contribute most to their AI success, conversational channels dominated. Social media messaging led at 78%, followed by SMS at 70%, and website live chat at 51%. Shoppers want fast, personal conversations, and AI is the best way to deliver that at scale.
Learn more about AI adoption, perception, and use case trends in the full 2026 Conversational Commerce Report.
For decades, customer support success meant fast response times and high satisfaction scores. Those are still important indicators of success, but leading brands are adding revenue-focused metrics to their dashboards.
91% of brands still track CSAT as a measure of AI's impact. But 60% now include AOV as a top indicator, and higher-revenue brands earning $20M+ are focusing on metrics like total operating expenses, cost per resolution, incremental revenue, and one-touch ticket rate.

AI can now start a conversation, ease customer doubts, sell, upsell, and recover abandoned carts in a single conversation. When you’re only measuring CSAT, you’re ignoring the real ROI of conversational AI investment.
Virtual shopping assistants now proactively engage shoppers, adapt to their needs in real time, and offer contextual product recommendations and upsells. When the moment calls for it, they can close the deal with a targeted discount.
Gorgias brands using AI Agent's shopping assistant capabilities nearly doubled their purchase rates and converted 20–50% better than those using AI Agent for support only.
Orthofeet, the largest provider of orthopedic footwear in the US, is a concrete example of this in practice. Using Gorgias, they achieved:
The data tells a clear story: AI has evolved beyond a tool for handling tier 1 support tickets. It’s a core part of your revenue generation strategy.
57% of brands are already using AI for 26–50% of all customer interactions, and 37% expect that share to rise to 51–75% within the next two years. The brands building toward that range now are the ones who will have the operational advantage when it matters most.
The practical question isn't whether to invest in AI. It's where to focus first. Based on where brands are seeing the most impact, three priorities stand out:
Want to go deeper on the full 2026 conversational commerce trends? Read the complete report for data across every major AI use case in ecommerce.
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TL;DR:
Customer education has become a critical factor in converting browsers into buyers. For wellness brands like Cornbread Hemp, where customers need to understand ingredients, dosages, and benefits before making a purchase, education has a direct impact on sales. The challenge is scaling personalized education when support teams are stretched thin, especially during peak sales periods.
Katherine Goodman, Senior Director of Customer Experience, and Stacy Williams, Senior Customer Experience Manager, explain how implementing Gorgias's AI Shopping Assistant transformed their customer education strategy into a conversion powerhouse.
In our second AI in CX episode, we dive into how Cornbread achieved a 30% conversion rate during BFCM, saving their CX team over four days of manual work.
Before diving into tactics, understanding why education matters in the wellness space helps contextualize this approach.
Katherine, Senior Director of Customer Experience at Cornbread Hemp, explains:
"Wellness is a very saturated market right now. Getting to the nitty-gritty and getting to the bottom of what our product actually does for people, making sure they're educated on the differences between products to feel comfortable with what they're putting in their body."
The most common pre-purchase questions Cornbread receives center around three areas: ingredients, dosages, and specific benefits. Customers want to know which product will help with their particular symptoms. They need reassurance that they're making the right choice.
What makes this challenging: These questions require nuanced, personalized responses that consider the customer's specific needs and concerns. Traditionally, this meant every customer had to speak with a human agent, creating a bottleneck that slowed conversions and overwhelmed support teams during peak periods.
Stacy, Senior Customer Experience Manager at Cornbread, identified the game-changing impact of Shopping Assistant:
"It's had a major impact, especially during non-operating hours. Shopping Assistant is able to answer questions when our CX agents aren't available, so it continues the customer order process."
A customer lands on your site at 11 PM, has questions about dosage or ingredients, and instead of abandoning their cart or waiting until morning for a response, they get immediate, accurate answers that move them toward purchase.
The real impact happens in how the tool anticipates customer needs. Cornbread uses suggested product questions that pop up as customers browse product pages. Stacy notes:
"Most of our Shopping Assistant engagement comes from those suggested product features. It almost anticipates what the customer is asking or needing to know."
Actionable takeaway: Don't wait for customers to ask questions. Surface the most common concerns proactively. When you anticipate hesitation and address it immediately, you remove friction from the buying journey.
One of the biggest myths about AI is that implementation is complicated. Stacy explains how Cornbread’s rollout was a straightforward three-step process: audit your knowledge base, flip the switch, then optimize.
"It was literally the flip of a switch and just making sure that our data and information in Gorgias was up to date and accurate."
Here's Cornbread’s three-phase approach:
Actionable takeaway: Block out time for that initial knowledge base audit. Then commit to regular check-ins because your business evolves, and your AI should evolve with it.
Read more: AI in CX Webinar Recap: Turning AI Implementation into Team Alignment
Here's something most brands miss: the way you write your knowledge base articles directly impacts conversion rates.
Before BFCM, Stacy reviewed all of Cornbread's Guidance and rephrased the language to make it easier for AI Agent to understand.
"The language in the Guidance had to be simple, concise, very straightforward so that Shopping Assistant could deliver that information without being confused or getting too complicated," Stacy explains. When your AI can quickly parse and deliver information, customers get faster, more accurate answers. And faster answers mean more conversions.
Katherine adds another crucial element: tone consistency.
"We treat AI as another team member. Making sure that the tone and the language that AI used were very similar to the tone and the language that our human agents use was crucial in creating and maintaining a customer relationship."
As a result, customers often don't realize they're talking to AI. Some even leave reviews saying they loved chatting with "Ally" (Cornbread's AI agent name), not realizing Ally isn't human.
Actionable takeaway: Review your knowledge base with fresh eyes. Can you simplify without losing meaning? Does it sound like your brand? Would a customer be satisfied with this interaction? If not, time for a rewrite.
Read more: How to Write Guidance with the “When, If, Then” Framework
The real test of any CX strategy is how it performs under pressure. For Cornbread, Black Friday Cyber Monday 2025 proved that their conversational commerce strategy wasn't just working, it was thriving.
Over the peak season, Cornbread saw:
Katherine breaks down what made the difference:
"Shopping Assistant popping up, answering those questions with the correct promo information helps customers get from point A to point B before the deal ends."
During high-stakes sales events, customers are in a hurry. They're comparing options, checking out competitors, and making quick decisions. If you can't answer their questions immediately, they're gone. Shopping Assistant kept customers engaged and moving toward purchase, even when human agents were swamped.
Actionable takeaway: Peak periods require a fail-safe CX strategy. The brands that win are the ones that prepare their AI tools in advance.
One of the most transformative impacts of conversational commerce goes beyond conversion rates. What your team can do with their newfound bandwidth matters just as much.
With AI handling straightforward inquiries, Cornbread's CX team has evolved into a strategic problem-solving team. They've expanded into social media support, provided real-time service during a retail pop-up, and have time for the high-value interactions that actually build customer relationships.
Katherine describes phone calls as their highest value touchpoint, where agents can build genuine relationships with customers. “We have an older demographic, especially with CBD. We received a lot of customer calls requesting orders and asking questions. And sometimes we end up just yapping,” Katherine shares. “I was yapping with a customer last week, and we'd been on the call for about 15 minutes. This really helps build those long-term relationships that keep customers coming back."
That's the kind of experience that builds loyalty, and becomes possible only when your team isn't stuck answering repetitive tickets.
Stacy adds that agents now focus on "higher-level tickets or customer issues that they need to resolve. AI handles straightforward things, and our agents now really are more engaged in more complicated, higher-level resolutions."
Actionable takeaway: Stop thinking about AI only as a cost-cutting tool and start seeing it as an impact multiplier. The goal is to free your team to work on conversations that actually move the needle on customer lifetime value.
Cornbread isn't resting on their BFCM success. They're already optimizing for January, traditionally the biggest month for wellness brands as customers commit to New Year's resolutions.
Their focus areas include optimizing their product quiz to provide better data to both AI and human agents, educating customers on realistic expectations with CBD use, and using Shopping Assistant to spotlight new products launching in Q1.
The brands winning at conversational commerce aren't the ones with the biggest budgets or the largest teams. They're the ones who understand that customer education drives conversions, and they've built systems to deliver that education at scale.
Cornbread Hemp's success comes down to three core principles: investing time upfront to train AI properly, maintaining consistent optimization, and treating AI as a team member that deserves the same attention to tone and quality as human agents.
As Katherine puts it:
"The more time that you put into training and optimizing AI, the less time you're going to have to babysit it later. Then, it's actually going to give your customers that really amazing experience."
Watch the replay of the whole conversation with Katherine and Stacy to learn how Gorgias’s Shopping Assistant helps them turn browsers into buyers.
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TL;DR:
Your AI sounds like a robot, and your customers can tell.
Sure, the answer is right, but something feels off. The tone of voice is stiff. The phrases are predictable and generic. At most, it sounds copy-pasted. This may not be a big deal from your side of support. In reality, it’s costing you more than you think.
Recent data shows that 45% of U.S. adults find customer service chatbots unfavorable, up from 43% in 2022. As awareness of chatbots has increased, so have negative opinions of them. Only 19% of people say chatbots are helpful or beneficial in addressing their queries. The gap isn't just about capability. It's about trust. When AI sounds impersonal, customers disengage or leave frustrated.
Luckily, you don't need to choose between automation and the human touch.
In this guide, we'll show you six practical ways to train your AI to sound natural, build trust, and deliver the kind of support your customers actually like.
The fastest way to make your AI sound more human is to teach it to sound like you. AI is only as good as the input you give it, so the more detailed your brand voice training, the more natural and on-brand your responses will be.
Start by building a brand voice guide. It doesn't need to be complicated, but it should clearly define how your brand communicates with customers. At minimum, include:
Think of your AI as a character. Samantha Gagliardi, Associate Director of Customer Experience at Rhoback, described their approach as building an AI persona:
"I kind of treat it like breaking down an actor. I used to sing and perform for a living — how would I break down the character of Rhoback? How does Rhoback speak? What age are they? What makes the most sense?"
✅ Create a brand voice guide with tone, style, formality, and example phrases.
Humans associate short pauses with thinking, so when your AI responds too quickly, it instantly feels unnatural.
Adding small delays helps your AI feel more like a real teammate.
Where to add response delays:
Even a one- to two-second pause can make a big difference in a robotic or human-sounding AI.
✅ Add instructions in your AI’s knowledge base to include short response delays during key moments.
Generic phrases make your AI sound like... well, AI. Customers can spot a copy-pasted response immediately — especially when it's overly formal.
That doesn't mean you need to be extremely casual. It means being true to your brand. Whether your voice is professional or conversational, the goal is the same: sound like a real person on your team.
Here's how to replace robotic phrasing with more brand-aligned responses:
|
Generic Phrase |
More Natural Alternative |
|---|---|
|
“We apologize for the inconvenience.” |
“Sorry about that, we’re working on it now.” (friendly) |
|
“Your satisfaction is our top priority.” |
“We want to make sure this works for you.” (friendly) |
|
“Please be advised…” |
“Just a quick heads up…” (friendly) |
|
“Your request has been received.” |
“Got it. Thanks for reaching out.” (friendly) |
|
“I will now review your request.” |
“Let me take a quick look.” (friendly) |
✅ Identify your five most common inquiries and give your AI a rewritten example response for each.
One of the biggest tells that a response is AI-generated? It ignores what's already happened.
When your AI doesn't reference order history or past conversations, customers are forced to repeat themselves. Repetition can lead to frustration and can quickly turn a good customer experience into a bad one.
Great AI uses context to craft replies that feel personalized and genuinely helpful.
Here's what good context looks like in AI responses:
Tools like Gorgias AI Agent automatically pull in customer and order data, so replies feel human and contextual without sacrificing speed.
✅ Add instructions that prompt your AI to reference order details and/or past conversations in its replies, so customers feel acknowledged.
Customers just want help. They don't care whether it comes from a human or AI, as long as it's the right help. But if you try to trick them, it backfires fast. AI that pretend to be human often give customers the runaround, especially when the issue is complex or emotional.
A better approach is to be transparent. Solve what you can, and hand off anything else to an agent as needed.
When to disclose that the customer is talking to AI:
For more on this topic, check out our article: Should You Tell Customers They're Talking to AI?
✅ Set clear rules for when your AI should escalate to a human and include handoff messaging that sets expectations and preserves context.
We're giving you permission to break the rules a little bit. The most human-sounding AI doesn't follow perfect grammar or structure. It reflects the messiness of real dialogue.
People don't speak in flawless sentences every time. We pause, rephrase, cut ourselves off, and throw in the occasional emoji or "uh." When AI has an unpredictable cadence, it feels more relatable and, in turn, more human.
What an imperfect AI could look like:
These imperfections give your AI a more believable voice.
✅ Add instructions for your AI that permit variation in grammar, tone, and sentence structure to mimic real human speech.
Human-sounding AI doesn’t require complex prompts or endless fine-tuning. With the right voice guidelines, small tone adjustments, and a few smart instructions, your AI can sound like a real part of your team.
Book a demo of Gorgias AI Agent and see for yourself.
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TL;DR:
Customer service chatbots handle support conversations on autopilot, answering questions on your website, chat, and across channels like Instagram or SMS. They take care of the repetitive stuff (tracking orders, explaining your return policy, answering product questions) so your team doesn't have to.
For ecommerce brands, a good chatbot means fewer "Where's my order?" tickets clogging up your inbox, faster responses, and lower support costs. You need one that plugs into your store, can process returns or exchanges, and pulls answers straight from your policies.
This guide breaks down what customer service chatbots actually do, which platforms work best for online stores in 2026, and how to pick and set one up without the headache.
A customer service chatbot is a digital tool that automates support conversations on your website using artificial intelligence. It interprets customer questions through natural language processing (NLP), pulls answers from your knowledge base, and resolves issues without needing your support team.
There are two main types: rule-based chatbots and AI-powered chatbots. Both respond to customer questions automatically, but rule-based bots follow preset scripts and decision trees, while AI bots use large language models to understand context and generate more flexible responses.
For ecommerce businesses, chatbots deliver 24/7 support at scale. They handle repetitive questions (like "Where's my order?" or "What's your return policy?"), reduce wait times, and cut down on ticket volume. When they can't resolve something, they hand off to your team with full context.
If you're evaluating customer service chatbots for your ecommerce brand, here's a comparison of the top 8 platforms. This shortlist highlights key evaluation criteria to help you narrow down your options before diving into detailed feature comparisons.
|
Platform |
Best For |
Starting Price |
|---|---|---|
|
Gorgias |
Shopify brands needing order management automation and AI Agent |
$10/month |
|
Intercom |
Teams needing both support and sales/marketing automation |
$29/seat/month |
|
Zendesk |
Large enterprises with complex, multilingual support operations |
$55/user/month |
|
Freshchat |
Growing teams needing multichannel chat with basic AI |
Free (paid plans from $19/agent/month) |
|
Tidio |
Small ecommerce stores needing affordable AI automation |
Free (paid plans from $24/month) |
|
Chatfuel |
Social commerce brands using Instagram and Facebook DMs |
$23.99/month |
|
Kommunicate |
Enterprise teams needing customizable AI models |
$83.33/month |
|
Ada |
Global enterprises with high-volume, multilingual support |
Custom pricing |
Choosing the right customer service chatbot requires evaluating platforms based on use-case fit, integration depth, and proven resolution rates. Below, we've ranked eight platforms using a comprehensive evaluation rubric that considers ecommerce-specific features, time-to-value, pricing transparency, and customer satisfaction score (CSAT) impact.
Gorgias is a conversational AI platform built specifically for ecommerce brands, with deep Shopify integration and AI automation designed for online retail. Unlike general-purpose helpdesks, Gorgias combines ticketing, AI Agent, and order management in a single platform optimized for common ecommerce scenarios like WISMO (where is my order), returns, cancellations, and product questions.
The platform's AI Agent is trained on your Help Center articles, saved macros, and real-time Shopify data. This enables it to provide personalized responses that pull order details, tracking information, and customer history.
Self-service Flows let customers handle routine requests independently through your chat widget or Help Center. Meanwhile, Shopify Actions allow the AI to execute tasks like editing orders, processing refunds, or canceling orders directly from the conversation.
Gorgias also provides proactive support capabilities, automatically reaching out to customers about shipping delays or abandoned carts. The platform tracks deflection and resolution metrics so you can measure automation impact and continuously optimize your self-service options. Brands using the platform achieve 30-45% ticket deflection while improving response times and customer satisfaction.
Main features:
Ideal for:
Pricing:
Intercom’s Fin is an AI-powered chatbot that uses brand knowledge and policies to answer customer questions. It's particularly strong for businesses that need both support and sales automation in one place, which is why it's popular with SaaS companies and ecommerce brands looking for a unified messaging platform.
Fin AI uses natural language understanding to provide contextual responses and integrates with Intercom's messenger and ticketing system. The platform includes conversation routing, team collaboration tools, and performance analytics. However, ecommerce-specific actions like order management require custom development or third-party integrations.
Pricing:
Zendesk is an enterprise-grade helpdesk with AI-powered chatbot capabilities built in. The platform's AI bot is pre-trained on billions of support conversations, so it handles common customer service scenarios with strong baseline accuracy. It's built for large-scale operations, especially if you need multilingual support or complex routing across multiple teams.
The platform includes robust reporting, workforce management tools, and extensive integrations with CRM and ecommerce platforms. Zendesk's AI features cover intent detection, sentiment analysis, and automated article recommendations.
The downside: the complexity and pricing can be steep for smaller brands, and ecommerce-specific automation requires additional configuration or apps.
Pricing:
Freshchat is a multichannel messaging platform with an AI assistant called Freddy. Part of the Freshworks suite, it offers strong team collaboration features and omnichannel support across web, mobile, email, and social channels. It's a solid fit for growing support teams that need intelligent routing based on agent availability and customer intent.
Freddy AI answers questions from your knowledge base, suggests articles, and handles basic inquiries. The visual bot builder lets non-technical teams create conversation flows without coding. Freshchat integrates with Freshdesk for ticketing and includes basic analytics to track chatbot performance and customer satisfaction.
Pricing:
Tidio is an affordable AI chatbot and live chat solution built for small ecommerce stores with basic automation needs. The visual flow builder makes it easy to create chatbot conversations without technical skills, and Lyro AI assistant handles common questions using your knowledge base. It integrates with Shopify, WooCommerce, and BigCommerce.
The platform includes pre-built templates for abandoned cart recovery, order tracking, and lead generation. Pricing is accessible for small businesses, with a free plan that covers basic chatbot functionality. Advanced AI features and higher conversation volumes require paid plans.
Pricing:
Chatfuel is a chatbot builder specialized for social media platforms like Facebook Messenger, Instagram, and WhatsApp. It's ideal for brands focused on social commerce or influencer partnerships, with robust automation for DMs and social customer service. The platform's strength is its deep integration with Meta, letting you automate responses to comments, messages, and story replies.
The visual builder includes templates for order tracking, product recommendations, and promotional campaigns. Chatfuel can connect via API to pull order data or integrate with your ecommerce platform.
The limitation: it only works on social channels, so it won't cover your website or other support channels.
Pricing:
Kommunicate is a no-code chatbot platform with flexible AI model support, letting you choose between GPT-4, Gemini, Anthropic, and custom models. This flexibility appeals to enterprise teams that need specific AI capabilities or want control over their AI infrastructure. The platform includes a visual bot builder, live chat handoff, and omnichannel support across web, mobile, and messaging apps.
Kommunicate's strength is its customization options and multi-model support. You can build complex conversation flows, integrate with external systems via API, and create custom AI workflows.
The limitation: Its flexibility adds complexity, and setup may require more technical expertise than simpler platforms.
Pricing:
Ada is an AI-powered automation platform built for large enterprises with global support operations. It specializes in multilingual support across over 100 languages and handles complex conversation flows with enterprise system integrations and detailed performance analytics.
The platform is designed for high-volume support teams needing enterprise-grade security, compliance, and scalability. Implementation includes dedicated support, custom AI training, and ongoing optimization.
The limitation: enterprise focus means custom pricing and longer implementation timelines.
Pricing:
Implementing a customer service chatbot doesn't require technical expertise. Today’s platforms provide no-code builders, pre-built templates, and guided setup.
The key is approaching implementation strategically: identify your highest-volume use cases, prepare your knowledge sources, and establish clear guardrails before going live.
We recommend following these four essential steps to deploy a customer service chatbot.
Identify your top 10-20 customer questions using ticket data from your helpdesk. Look for repetitive inquiries like "Where is my order?" or "What's your return policy?" These repetitive and simple questions are best for automation.
Next, audit your data sources: Help Center articles, macros, FAQ pages, and past conversations. These become your chatbot's brain. Make sure your content is up-to-date and comprehensive enough to answer variations of each question. Many platforms can import help center content automatically, but review it to fill gaps.
Read more: What makes a great knowledge base for AI?
Rule-based flows use decision trees with buttons and predefined paths. They work well for straightforward scenarios like “Track my order” or “Start a return" where the process is consistent. Flows are predictable and easy to test.
AI-powered responses use natural language understanding to interpret open-ended questions and generate answers from your knowledge base. AI handles more variation but requires careful testing to ensure accuracy. Many brands use a hybrid approach: flows for transactional tasks, AI for informational questions.
Connect your chatbot to existing knowledge sources by importing help center articles, saved agent responses (macros), and product information. This grounds the AI's responses in on-brand content and reduces hallucination.
Review your training data for gaps, outdated information, and inconsistencies. The better your source content, the better your chatbot's responses. Plan to update this content regularly as products and policies evolve.
Before launching, test your chatbot in test mode with real team members asking typical questions. Verify that responses are accurate, on-brand, and helpful. Test edge cases and unusual phrasings to identify gaps in your coverage.
Set guardrails to define what the chatbot should and shouldn't handle. Exclude sensitive topics (account security, payment disputes), set confidence thresholds for escalation, and establish clear handoff protocols. Make sure customers can easily reach a human agent, and that agents receive full conversation context when taking over.
Related: Should brands disclose AI in customer interactions? A guide for CX leaders
Not all customer service chatbots are built for ecommerce. Here's what to look for: the ability to pull real-time order data, maintain conversation and customer context across channels, and execute actions beyond simple Q&A.
The best platforms combine knowledge, routing, compliance, and analytics to deliver instant replies without sacrificing customer experience.
Look for platforms that maintain channel continuity or omnichannel support. This means your chatbot works consistently across email, live chat, SMS, social media, and voice channels.
Customers should be able to start a conversation on Instagram, continue it via email, and finish in chat without repeating themselves. The idea is to preserve customer context across touchpoints so the customer experience feels seamless.
Knowledge grounding ensures your chatbot pulls answers from verified sources like your help center, macros, product catalog, and order data rather than generating responses from scratch. This improves accuracy and reduces AI hallucination. Look for platforms that show which source was used for each response so you can identify and fix content gaps.
Did you know? Advanced platforms use retrieval-augmented generation (RAG) to find relevant information even when customers phrase questions differently than your help articles, handling variations and context-dependent queries more effectively.
Guardrails control what your chatbot can discuss, ensuring it stays within approved topics and escalates sensitive issues to human agents. You should be able to exclude certain subjects (account security, complaints), set confidence thresholds, and define clear AI-to-human escalation rules. This protects your brand and prevents incorrect or inappropriate information.
Compliance requirements vary by industry and region, but most ecommerce brands need GDPR compliance for European customers. Enterprise brands may require SOC 2, HIPAA, or specific data residency controls. Verify that your platform offers encryption in transit and at rest, plus role-based access control to limit which team members can access sensitive customer data.
Related: How AI Agent works & gathers data
Agent assist uses AI to support your human agents during conversations by suggesting relevant help articles, drafting replies, and summarizing long threads. This speeds up resolution times and keeps responses consistent.
Just as important is seamless handoff. This feature allows conversations to be transferred between AI and human agents. Your agents see everything that happened so customers don't have to repeat themselves. The best platforms let agents review and edit chatbot responses before they're sent, so you maintain quality control during hybrid automation.
Measuring chatbot performance means tracking specific metrics: deflection rate (conversations resolved without agents), resolution rate (successfully resolved), containment (conversations that never escalate), and CSAT (customer satisfaction). These metrics show whether your automation is reducing workload while keeping customers happy.
Look for platforms with detailed reporting on conversation topics, failed intents, and customer feedback. This data shows you where to expand automation, which responses need work, and what new content to create. The best solutions offer real-time dashboards and automated alerts when performance drops below your thresholds.
The real value for ecommerce brands lies in specific outcomes: reducing WISMO tickets, speeding up returns processing, and freeing agents to focus on complex issues that drive customer loyalty and revenue.
Effective automation improves customer experience by providing instant answers to routine questions while ensuring complex issues get the human attention they deserve.
Below are examples of brands who've experienced these benefits firsthand.
24/7 availability means customers get instant responses outside business hours, across time zones, and during peak shopping periods. Chatbots handle routine questions immediately, reducing wait times and queue depth so customers with complex issues get faster access to human agents.
Success story: Orthofeet automated 56% of tickets in under 2 months and improved chat first response time by 92%, maintaining service levels without expanding headcount.
Deflection measures the percentage of inquiries resolved through self-service without agent involvement. High deflection rates directly reduce cost-to-serve, and for brands processing thousands of WISMO and return requests monthly, even 30% deflection represents significant labor savings.
Success story: Arc'teryx achieved a 23x ROI on their AI Agent while freeing agents from repetitive work to focus on meaningful customer relationships that drive loyalty.
Personalization means pulling customer-specific data like order history and preferences to provide contextual responses. Rather than generic answers, chatbots can say "Your order #12345 shipped yesterday and will arrive Thursday."
Success story: Caitlyn Minimalist saw an 11.3% uplift in average order value and a 50% sales lift from AI-assisted chats by delivering instant, tailored product recommendations that turn single purchases into collections.
AI advancements are driving practical improvements in how chatbots understand context, take actions, and integrate across channels. Here are the key trends shaping the space.
Agentic AI shifts chatbots from answering questions to taking actions like initiating returns, processing refunds, or modifying orders autonomously. Grounding ensures AI agents pull information from verified sources before acting, using retrieval-augmented generation (RAG) to combine language model flexibility with knowledge base accuracy, dramatically reducing hallucination.
Low-code and no-code platforms let support teams build and modify automation using visual drag-and-drop interfaces. Pre-built templates for common scenarios like order tracking and returns let brands launch automation quickly, accelerating iteration and letting support teams expand automation coverage without waiting for engineering resources.
Proactive support initiates conversations based on customer behavior or events like shipping delays, abandoned carts, or back-in-stock notifications. Effective implementations use customer data to personalize outreach, catching issues before they become complaints and creating opportunities to drive purchases.
Modern chatbots extend beyond web chat to phone support and SMS, with AI voices handling phone inquiries in natural, conversational language. Customers can switch seamlessly between channels—starting a conversation via SMS, continuing on the phone with an AI voice agent, then escalating to a human—without repeating information or losing context.
Below are practical examples of how chatbots handle common scenarios across different verticals.
Now that you know what customer service chatbots are and which platforms lead the market, it's time to evaluate which one fits your specific needs.
The right choice balances capability, ease of implementation, and long-term scalability for your business.
Use this checklist to systematically assess platforms based on your highest-volume ticket types, required integrations, compliance requirements, and team capabilities.
Implementing a customer service chatbot starts with evaluating your needs. Focus on platforms that go live quickly and deliver measurable deflection within the first week while balancing self-service efficiency with human connection.
Ready to see how Gorgias automates ecommerce support while keeping the personalized experience your customers expect? Book a demo to learn how top brands achieve 30-60% ticket deflection.
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With a decade of experience in customer service roles, I’ve recognized that ecommerce customer service goes beyond answering questions.
The best experience you can give customers is proactively providing them with what they need so they don't have to contact support at all. In instances where customers do need to talk to someone on the team, interactions that surprise and delight help keep them coming back.
Ecommerce customer service may feel less personal than it would in person, but there are a multitude of ways you can make it special.
Whether you’re building an online store from scratch or need extra hands to handle your growing customer base, I’ve rounded up the top 15 best practices for ecommerce customer service that you can start using to improve your support team.
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If I could only recommend one tool, it would be a helpdesk. A helpdesk is a customer service software that allows support agents and teams to manage customer data, inquiries, and orders in one platform.
If you run an online store, Gorgias is the perfect helpdesk specifically designed for ecommerce tasks. It smoothly combines order management, order fulfillment, and customer service in one tool, so that you can speak to customers and resolve their issues while being able to pull up their order data in one window.
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When customers can receive help the way they want — whether that’s a phone call or Facebook messages — they feel more comfortable initiating a relationship with your brand. Establishing a positive first impression can be the fuel you need to turn them into returning customers.
💡 Tip: Phone support can be the key to keeping customers. Throughout the years, I’ve seen first-hand how a simple 10-minute phone call can turn a sour interaction around. Most customers may prefer written communication, but being able to hash out an issue over a voice call can be the difference between losing a customer and keeping them.
The top support channels you should offer:
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To cut down first response times, use Macros or customer service scripts. On Gorgias, Macros are pre-written responses that can be applied to the most common customer interactions.
The best way to use Macros is by applying them to what I refer to as empty-calorie tickets. Empty-calorie tickets are repetitive inquiries that people ask over and over again, such as “Where is my order?” Automating the responses to these low-effort tickets is the easiest way to incorporate Macros into your workflow.
When to use Macros:
Customers who abandon their carts are inevitable, but you don’t have to leave it there. Sending an email to a customer who still has items in their shopping cart can be the final push to trigger a purchase. You can even pair the notification with a discount to make the purchase more appealing.
Acquiring new customers is expensive, so it’s extremely important to recapture customer attention when you have the chance.
Pay attention to your social media presence because 26% of people learn about a product through social media, according to a 2023 study by Statista. Public social media comments have the power to either bring in new customers or completely turn them off from your brand. For this reason, it’s important to actively engage with social media users who mention your brand.
Having an active social media presence is an easy way to show you care about what your customers have to say. When you address comments publicly, prospective customers will trust you more for your ability to be transparent and authentic.
📚 Related reading: 5 tips to leverage social media for your store
Customers like to know when an action they’ve taken was successful. When it comes to ecommerce, you can easily check this best practice off your list by making it a routine to send order status emails, like when an order has been shipped.
On Gorgias, we take the manual work out of sending routine emails with Macros. If you’re a Shopify store, Gorgias automatically populates your emails with important customer information pulled from Shopify such as customer name, order number, tracking number, and more.
88% of customers like to find answers on their own and expect a brand to have a self-service portal, according to Statista. You can help make the search easier by filling your website with self-service options.
Self-service options are resources for customers to get the answers they need without contacting an agent. These include FAQ pages, help centers, chat widgets, and interactive quizzes.
Here’s how each self-service option can benefit you:
📚 Related reading: A guide to building an FAQ page
Data collection makes up a large chunk of customer service, and it doesn’t have to be complicated. The easiest way to gather customer data is by collecting email addresses via newsletter signups and contact forms on your online store.
Customer service is important and shouldn't stop when your agents are off the clock. On Gorgias, you can add a contact form to your chat widget when your store is offline, so you have the opportunity to turn first-time customers into loyal followers.
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Benefits of collecting customer emails:
Three-quarters of Americans are shopping with their smartphone. It’s time to shift your focus. To take advantage of this customer behavior, match a convenient tool like the smartphone with an equally convenient and optimized website.
A website optimized for mobile includes:
If your store accepts returns and exchanges, it’s a good idea to automate the process with a portal. Returning an item is essentially just one step: getting an item out of a customer’s hands. It shouldn’t require a live agent. So, when your customers can return an item on their own, it becomes a huge time-saver for both them and your agents.
For example, when I worked at Stitch Fix, every time a customer needed an exchange, they'd have to reach out to support. It was a huge friction point. Eventually, we decided to build an exchange tool that became part of our checkout flow. From then on, our customers didn’t even need to think about contacting support because it was just an automatic part of the process.
💡 Tip: The easiest way to make a returns portal is by connecting Loop Returns with Gorgias. Loop Returns simplifies the return and exchange process by routing customers to a link, not an agent. By automating this part of the customer journey, your support team can deal with more urgent tickets.
Showcasing personal experiences can be the magic ingredient that adds credibility to your product. When potential customers read about real-life encounters with your product, they gain trust in your brand. Customer reviews can even nudge hesitant buyers toward making a purchase.
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For example, PuffCuff does an amazing job at making their product shine. Not only do they feature reviews, but they also include a customer review video. Being able to add a visual element that shows how conveniently your product solves a problem can convince customers who are on the fence.
Where to feature customer reviews:
Attracting new customers requires extra marketing that you may not have the budget for. Here’s a different approach: increase the value you get from your current customers with a loyalty program.
With a loyalty program, customers who already love your brand are incentivized to buy more while earning exclusive perks. An easy way to set up a program is by integrating LoyaltyLion with Gorgias. You instantly get customer retention features like shopping cart rewards, in-site notifications, and loyalty emails.
Without a physical storefront, your product photos will be doing all the talking. Customers want to get as close to the product as they possibly can to make an informed purchase. In short, gaining customer trust depends on the appearance of your products.
Here’s how to build trust through product photos:
📚 Learn more: Improve your product photography with these 3 tips
When customers get to checkout, they’re inches away from the finish line. Don't risk hampering their journey by subjecting them to a bad checkout experience. In fact, a staggering 17% of US online shoppers abandoned their orders in 2022 because of a "too long/complicated checkout process," according to Baymard.
Here's how to improve the checkout experience:
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You’ve got pages of customer emails, buying behavior data, and feedback — now what? The next step is to use this data to track customer buying trends and your support team’s performance. With Gorgias, you can track how well your customer service operates with Support Performance Statistics.
Track these support performance metrics to improve your processes:
💡 Tip: Great customer service should have clear KPIs that are aligned with company goals such as customer retention and revenue generation that clearly demonstrate how your customer service creates value for the company and enable you to evaluate the effectiveness of your support program.
Making every customer interaction delightful goes a long way. Customers are more motivated to keep interacting with your brand and can even inspire new customers to join in. When you show customers that you care, you give way to loyalty.
At Gorgias, we quickly get support teams the customer trust they need with an all-in-one helpdesk. Our helpdesk streamlines the customer experience with omnichannel communication, ecommerce platform integration to Shopify and BigCommerce, Revenue Statistics, and automation in one convenient platform.
Ready to put these best practices into practice? Book a demo now.
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Customer service messaging (also known as conversational customer service) is a powerful way to elevate the customer experience and delight customers beyond their expectations. For customers, texting with a support agent feels much more convenient and casual than slower channels like email. And, SMS is a much better channel for “on-the-go” communication, since most people always have their mobile phones and can usually reply to text messages quickly.
That’s why customer service messaging is one of many recent customer service trends shaking up how ecommerce and D2C businesses offer support.
In this guide, we’ll discuss how your business can implement or improve this type of customer support and other conversational channels in your customer service strategy.
Let’s get started with why it’s important for businesses to offer SMS customer service.
SMS customer service is when support teams resolve customer questions and issues via text message.
Customers love these one-to-one messaging channels for customer service because they’re so quick and convenient. When implemented well, conversational messaging allows customers to reach your CS team and get answers quickly — within 42 seconds, most of the time. Especially considering that 42% of customers prefer communicating with customer service on messaging apps over any other channel, introducing a conversational channel may do wonders for your brand’s customer satisfaction.
Your customer support team can also use these channels to proactively reach out to customers with important updates and timely discounts.
SMS customer service is especially attractive to your customers because they don’t have to stay glued to your website or check a social media app for new DMs. They can get answers to their questions on a device they already check 96 times per day. Let’s take a closer look at SMS, a channel that’s quickly gaining ground as a standard support option.

Adding each messaging channel at one time might overwhelm your customer support team. Likewise, a new channel may have low adoption if you don’t announce it to your customers. As you begin offering messaging experiences as a part of your customer care portfolio, use our top 10 techniques to maximize the effectiveness of your workflows on those channels.
For issues with easy solutions, there’s no reason for customers to engage with email or phone. Emails are slow and clunky and phone calls can lead to customer frustrations, especially if your wait times are excessive. Texts are far faster than either option and can provide simple, accurate information that leads to speedier solutions — and happier customers.
For that reason, we recommend setting up your contact page and information so that text and other live channels are your first line of communication — well, after self-service support. You can always move to email or phone if the customer requests it or if the problem you’re trying to solve is better suited to one of those channels.
Tip: Speed is an important factor in all customer service interactions, but it’s critical when sending any sort of instant message. First response time (FRT) is a key customer service metric you can measure with Gorgias through the analytics dashboard. Make sure to track the speed of your responses when you start your support messaging program.

To inform your customers they can now text your brand, we recommend adding “Text us,” plus your phone number, in some or all of these places:
You can put your messaging app information in the same spots, and make sure to say you accept support requests via DM in your social media bios so customers know they can shoot you a message.
Tip: Because conversational customer service usually takes place on a user’s phone, you need to keep responses short and friendly. The long, detailed macros and templates you might use for emails won’t work when communicating through short messages — depending on your platform and your customer’s phone, long messages might not send or might get broken into multiple text messages. Plus, depending on your brand’s tone of voice, conversational channels are a great place to use emojis, images, and GIFs to make the conversation even more friendly and casual.

Start every messaging interaction with an autoresponder. This tactic lets your customer know that you received their request, and it gives your human agents a small buffer of time to finish up their current encounter before starting the new one. You can also include a link to your help center in case they want to look for their answer on their own.
You can use this tactic whether you’re incorporating chatbots for basic query automation, or using your customer service agents for all customer interactions.
See page XX for an example of an autoresponder Rule for messaging.
Some customer support tickets should take higher priority than others. A customer that’s reporting a fraudulent purchase with their debit card needs a quicker response than someone who’s asking if there are any discounts they can use.
You can start by prioritizing:

You can even set up dual priority queues for all priority-tagged tickets: One for priority tickets that are about to go past the first response time in your SLA and another for all other priority tickets. Then prioritize the former, followed by the latter, followed by other tickets, to keep your first response time and resolution time down while giving attention to important tickets.
Beyond prioritizing tickets, it’s also helpful to categorize them if they share similarities. Grouping similar tickets together boosts efficiency. For example, your team can come up with one main solution (create a new discount code because the previous one is buggy) and easily resolve the entire group of tickets in a single pass.
If you are responding to customer service messages on a platform like Gorgias that supports Macro templates, you need to take advantage of this time-saving feature. But you can’t just take your existing email templates and drop them into these conversations.
You need to create a specific set of Macros for messaging purposes, using the principles we mentioned earlier: short, friendly, personalized, etc. That means you need to use variables like [Customer first name] or [Last order number] to personalize messages. If you set up your Macros strategically for DM and SMS messaging, many can be reused for live chat, as well.
To prioritize building Macros that will have the highest impact, create Macro templates to respond to the most common questions that have come through your helpdesk. You can also ask your team which responses they end up writing out the most and add those templates too.
Once you create and launch these Macros, you can automatically add Tags to Macros for reporting to see which Macros are being used the most. This will help you understand where you have gaps (or unhelpful Macros) and can make tweaks to improve your agent workflow and customer experience.
If your customer service platform supports automation, as Gorgias does through our Automation Add-on, you can deflect up to a third of repetitive, tedious tickets instantly, with no human interaction. Much of this automation can be applied to customer service messaging, as well.
When we mention automated answers, some support professionals say something like, “We don’t want to send low-quality automated responses to our customers.” We completely agree: For many tickets, automation doesn’t provide the best customer experience.
However, as you know, most tickets your support team receives are repetitive and low-impact, like questions about order status (WISMO) or your refund policy. We recommend setting up automatic responses for these tickets, so customers get instant answers and agents have more time to respond to tickets that actually need a human touch.
Look through your reporting dashboards to see the tickets that are taking up the most time on your support team, and prioritize those requests for automation with Rules, where appropriate.

WhatsApp Business, Facebook Messenger, and SMS support images, and luckily so does Gorgias. This is a more engaging way to interact with customers, and it also allows you to exchange relevant images like broken parts, malfunctioning equipment, and screenshots for more helpful instructions.
If you want to go this route, maintain a catalog of fun, topical images that your support team can use in their customer conversations, and give them the freedom to collect their own images to insert. It’s a great way to make your support feel more personal and human, but use common sense: Frustrated customers don’t want to receive a picture or meme, they want their problem solved as quickly as possible.

SMS and other personalized one-to-one support channels can get a little complicated because not everyone wants to interact on the same messaging application. True SMS support goes out over cellular networks and lands in users’ actual text messages, the same way messages from their friends and family do.
But you may need to be ready to handle other support channels that use similar short, text-based communication. These include Facebook Messenger, WhatsApp, and your website’s web chat. Certain channels may be a better fit for your unique customer base — for example, Instagram attracts a younger audience than Facebook Messenger, and WhatsApp is more common outside the US. Likewise, you may have other specialized messaging channels or messaging platforms that you need to support.

As a rule of thumb, you need to be where most of your customers are, which varies across businesses and industries. But to reach the desired level of customer engagement, most businesses need to be reachable via most, if not all, the major applications and support channels.
That’s where a unified customer service platform can be really useful. By keeping all of your customer conversations in one feed, you can handle more channels more strategically, through triage and routing to dedicated agents for specific tasks. For example, you could have one agent who just handles messaging and route all messages to that person for a quicker response.
On platforms like WhatsApp Business, you don’t have to wait around to hear from customers. This allows for a wide range of strategic and proactive support interactions.
For example, you can send out text blasts:
A proactive approach builds trust with your audience — they will see you going above and beyond with these efforts, and know that you’ll be upfront with potential issues.
SMS marketing is a useful tool for your ecommerce store, but it becomes even more powerful when you integrate your SMS marketing tool into Gorgias. Send out SMS blasts and have support agents on hand to handle any questions you get in response, to help nudge those customers closer to a sale.

With certain integrations — Klaviyo, for example — you can even use Gorgias attributes to segment and build campaigns. Use this function for win-back campaigns, or to send a special offer to customers who posted low CSAT scores.
Text messages are an effective method for collecting feedback from existing customers, too. Once customers opt in to SMS communication, you can use this point of contact to launch quick surveys that provide valuable feedback.
Response rate is always an issue with email surveys, and other channels see higher response rates. Using a multichannel approach will supply you with more responses and help you make more data-driven decisions with the results.
Note: In a customer service tool like Gorgias, you would use one of our integrations with Klaviyo or Attentive to send the survey to entire segmented lists of customers or prospects, all at once.
Ready to start implementing an SMS customer service strategy but not sure what to say? We get it: Staying concise yet friendly is tough, and so is conveying all the needed information in such a short space.
We’ve put together a collection of proven templates you can start using today. Adapt as many of these as you need to fit the contours of your business, and bring them into your customer service platform of choice. In Gorgias, you could auto-populate these responses through our Macros.
Note: We’re sharing these templates as text messages, but they can easily be adapted to other conversational channels like social media DMs and live chat.
As we mentioned earlier, it’s a good idea to set up an autoresponder. This tactic can buy your team time to finish up a previous interaction or send an email, yet it shows you’re on top of the interaction and will be back soon.
Here’s our template for a ticket received autoresponder:
Thanks for texting {Brand Name}. An agent is reviewing your question now. We’ll get back to you shortly :)
The introduction message is the point where your autoresponder or chatbot passes off the reins to a human agent. It’s the first point of personalization, and you want to make a solid impression. Still, your agents don’t need to be typing these out every single time. Use a template like this one to break the ice (just with a little less repetitive stress injury):
Hello, {Customer First Name} {Customer Last Name}! I’m {Your Name} from {Brand Name}. Thanks for messaging us. What can I help you with today?

There are two frequent scenarios where an hours-of-operations text makes sense. One is as an answer for when customers message you on social media or elsewhere just to ask when you’re open. In those cases, use this template:
Hello, {Customer First Name}! I’m {Your Name} from {Brand Name}. Our hours of operation are Monday through Friday, 9 a.m. to 8 p.m. Best, {Your Name}
The other scenario is when a customer reaches out via a messaging channel and there’s no one on the other end. If your helpdesk isn’t open 24 hours a day, use a template like this when the team isn’t live:
Hello, {Customer First Name}! Our live chat helpdesk is open {list hours}. You’ve reached us outside those hours. Leave a short message here and we’ll get back to you tomorrow.
By the way, if around-the-clock coverage is a goal of yours, you might be interested in introducing contact forms into your live chat widget. These forms let you keep your live chat on 24/7 and, when nobody’s available to answer, they ask customers for contact information so you can be sure to follow up. Learn more about Gorgias’ automation add-on and contact forms.
This one’s pretty obvious: You want to let the customer know the status of an order, and there’s no reason to manually type a whole message to do it.
Use this template when a customer asks for their order status. You can create variations of this one for delays or other order status updates, and even customize it further to include tracking information.
Hey {Customer First Name}, great news: Your order has shipped! It will arrive on {delivery date}. Let me know if I can help you with anything else!

Customers with recurring subscriptions sometimes forget the frequency they sign up for or when their next payment will be. Use this template if customers frequently ask your brand when their next payment is:
Hello, {Customer First Name} {Customer Last Name}! I’m {Your Name} from {Brand Name}. Your next payment of {amount} is coming up. Your card on file will be charged {due date}. Questions? Reply here or call {phone number}.
Pro tip: While there’s nothing inherently wrong with soliciting payment via SMS, many consumers will view this with suspicion. Text channels may not be the best avenue for inviting bill payments or collecting credit card information. It could also lead to more cancellations, which makes it a balancing act, though customer clarity is important to have. Always track the impact of changes to your process and be mindful of how new touchpoints could affect it.
If you’re trying to build brand loyalty or win back an upset customer, sometimes a simple discount code can go a long way. At the end of an SMS conversation, there may be times when you can surprise and delight customers by sending over an exclusive deal. Here’s a template (though you’ll certainly need to customize this one further to fit the details of your offer):
{Customer First Name}, thanks for being such a loyal customer. We’d like to give you {details of the offer}! Click to redeem: {short URL}
Refunds happen, and they don’t always require a massively complicated interaction with your contact center. If you’re able to resolve a ticket and issue a refund with a simpler interaction, this template can finish the one-to-one portion of the encounter.
Notice the template specifies that the interaction will finish up asynchronously (via email). It’s a great way to tie off the synchronous, real-time interaction and lead the customer right to the next step (check your email.)
Here’s the template:
Hey {Customer First Name}! We’ve issued a refund for your last order. We’ll send all the details to your email, but feel free to let me know here if you need anything else.

Pro tip: You can tie discounts and future order credits into this template, but make sure your entire team is aligned on your official policy as you update the Macros to match it. You may also want to have different tiers of intervention (and offerings) depending on the severity of the issue.
The customer check-in is another asynchronous message that occurs outside of an active conversation. Perhaps the customer walked away from a previous encounter or seems to be stuck on the customer journey based on other CRM data.
Whatever the reason, a gentle, well-timed message can sometimes get the customer back on track.
Here’s a model:
Hello, {Customer First Name} {Customer Last Name}! I’m {Your Name} from {Brand Name}. Just checking in to make sure everything is working well for you. If you have any issues with our {products/service} or need anything else, let me know!
Though a customer service platform can handle the above templates, you’ll likely want to expand even further through additional integrations with the platform. If you take that approach, here are some opportunities that open up:
If you’re running a sale or trying to drive traffic to your site, a great way to do so is by texting a discount code to customers on your SMS list. Because their phone is probably close by, it’s great way to promote your sale and make sure it gets noticed. Here’s a template you can use (but remember to update with your own promotion!):
Flash sale, this weekend only! Up to 40% off, including our latest collection. Shop now: {insert URL}

Medical offices and other organizations that schedule appointments or meetings can bolster attendance and reduce no-shows by providing yet another reminder — one that reaches patients and customers directly via phone.
If your SMS system supports it, you can invite an auto-reply to confirm or cancel an appointment, too. Use this template:
Hello, {Customer First Name} {Customer Last Name}! I’m {Your Name} from {Brand Name}. Your appointment is scheduled for tomorrow at {appointment time}. See you then! Reply Y to confirm, N to cancel.
Order confirmation messages simply confirm that your business has received and is processing a customer order. These don’t typically take place during an active one-to-one customer service interaction. Instead, they’re sent automatically and asynchronously, whenever the order confirms.
Still, you can set them up as personalized messages and enable replying so that, if something happens to be wrong, the customer knows how to reach out.
Hello, {Customer First Name} {Customer Last Name}! I’m {Your Name} from {Brand Name}. Your order #{order number} has been received, and we’re working on it now! We’ll message you again when it ships. Questions? Reply here.

If you’re in an industry that offers pickup services (whether curbside pickup, custom goods like eyeglasses, or anything else), a text message is a great way to let someone know their order is ready for pickup. SMS reaches customers when they’re on the go in a way that email frequently doesn’t.
Here’s an example:
Hello, {Customer First Name} {Customer Last Name}! I’m {Your Name} from {Brand Name}. Your recent order #{order number} is now available for pickup at {location}. Stop by to grab it anytime today before {closing time}!
This message asks your customers to respond to a survey or poll. It’s a data-gathering tool that can pull in responses from people who ignore your emails or the messages at the bottom of store receipts. Try a script like this:
Hello, {Customer First Name} {Customer Last Name}! I’m {Your Name} from {Brand Name}. We value your opinion as a customer and we’d love specific feedback on {topic}. Here’s a 5-minute survey: {short URL}
Membership renewals, like payments, ought to be set up as automatic occurrences. Still, it’s helpful to remind a customer that a charge will hit their bank account soon — you don’t want to track down non-payments, and you don’t want angry customers who weren’t prepared for a bill.
Here’s an example:
Hi, {Customer First Name} {Customer Last Name}! I’m {Your Name} from {Brand Name}. Your annual membership renewal is coming up on {date}. Your card on file will be charged on that day.
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At Gorgias, we believe any industry can find value in conversational support, though some industries and brands will get more bang for their buck with these channels.
For ecommerce brands that deliver physical products, conversational support is a no-brainer. Imagine your customers get shipping updates via SMS and can just respond to the message if the package isn’t delivered correctly to get immediate help. No need to open up a laptop and log into a support portal or compose an email.
If you’re on the fence about offering conversational customer support, consider whether any of these points are relevant for your business:
First, consider your primary audience. If you sell to millennials and Gen Z, conversational customer service deserves serious consideration. These groups value speed and convenience more than anything: Millennials prefer live chat over every other channel, and 71% of people between 16 and 24 agree that faster customer service would drastically improve the shopping experience.
These two generations grew up texting. It’s a very natural communication style for them, so they’ll feel right at home texting and DMing your brand. They’re also absolutely massive groups — combined, they make up a staggering 42.3% of the U.S. population.
If you’re targeting an older generation, texting may not feel as natural. They have a higher tendency to prefer email or phone, although that’s changing by the day.
One of the biggest hurdles to implementing conversational support is getting the systems, hardware, and staff in place to respond to SMS texts and messaging app requests at scale. If you’re already sending SMS marketing campaigns, then you already have some of that infrastructure in place.
So, if you’ve already made the investment in SMS for marketing purposes, then integrating messaging with your customer service platform and team requires minimal additional investment.
Fortunately, your helpdesk and SMS marketing software may integrate to give you a centralized way to spark conversations if customers reach out via text or respond to SMS campaigns. With Gorgias and Klaviyo, for example, customer responses to SMS marketing campaigns get assigned directly to an agent for fast response times.

One of the benefits of messaging is that customers don’t have to stay on the phone or by their computer — they can easily continue talking even if they have to take the dog out, go to work, or even fall asleep and respond in the morning. Plus, while email conversations often span multiple days which is frustrating for customers with simple requests, requests on messaging channels usually get resolved before customers lose interest or patience.
If you notice that your brand currently sees lots of unresolved email threads or phone calls, you might need to offer customers a more convenient and flexible channel to talk to your team. This is a perfect use case for SMS and other messaging channels.
It’s important to show up where your customers are. That’s why most brands post and engage with customers on social media pages. But if you’re posting on social media and not providing support to customers who reach out via DM, you’re missing a big opportunity.
By adding conversational support via Facebook Messenger and Instagram and Twitter DMs, you can maximize your presence on those platforms and provide an omnichannel customer experience for both existing and prospective customers.
We often discuss the importance of customer feedback to monitor brand perception and constantly improve the product and customer experience. But as most brands know, getting feedback via email can be a challenge because of low survey open rates and lack of follow-up from customers.
Business texting lets you ask your customer base for feedback on a channel they are less likely to ignore. Text messages have a whopping 98% open rate. Consider sending CSAT, NPS surveys, and other requests for customer feedback on this channel to raise your response rate for more accurate customer support metrics. Of course, with great power comes great responsibility: Spamming customers will quickly damage customer relationships, so don’t send too many messages to their personal devices.
SMS customer service is an avenue that customers are growing to expect. But managing yet another communication channel — much less one that demands real-time responses — takes careful planning.
Implementing a messaging strategy requires using tools built for that purpose. Some customer service messaging platforms offer SMS support natively, while others integrate a third-party SMS integration tool to add this functionality.
As you consider the available options, make sure the one you choose offers the features you need. Some tools are full-fledged SMS marketing solutions. Others focus specifically on SMS as a support channel.
It’s easier for most businesses to use an all-in-one customer service platform like Gorgias to support an omnichannel approach. With this kind of helpdesk platform, SMS tickets can be handled in the same feed as your other tickets and benefit from the same workflows and automation.

Here are some other features your customer service tool needs to have to handle SMS ticket effectively:

As we mentioned earlier, SMS marketing lets brands connect with consumers in a personalized and measurable way, just like with customer service. According to Attentive, average read rates of 97% within 15 minutes make SMS a prime channel for connecting with prospects and customers.
If you’re looking for the right SMS marketing tool to work in tandem with your new SMS customer service channel, consider these four leading tools. Each one integrates with Gorgias, along with most of the rest of your tech stack.

Each tool offers a slightly different feature set. Revisit the list of features we compiled earlier in this article to help determine which are the most important to you, then vet these four tools against your customized list.
Integrating any of these SMS marketing tools with Gorgias is a great way to unify your marketing and support efforts to improve the overall customer experience.
For example, if customers respond to an SMS marketing blast from a tool integrated with Gorgias, the response gets brought into the helpdesk. The agent can see the initial marketing message and the customers response, so they can answer any follow-up questions. It's like an alley-oop from your marketing to your support team.

Also, these integrations help your marketing team be more aware of active support conversations to avoid tone deaf marketing. For example, by integrating Gorgias and your SMS marketing tool, you can pause marketing campaigns on customers awaiting a response from support. (Nobody wants to get marketing messages if they're waiting on a delayed order, or troubleshooting their last purchase).
Customer service messaging across a wide range of message-based platforms can be a powerful addition to your customer service channels. Of these, the SMS channel is one of the most powerful options for businesses that want to reach customers directly where they are.
The scripts and tools provided in this guide should put you well on your way toward a successful SMS support rollout. But make sure that at the core of your customer service operation, you have a platform robust enough to handle everything you need to do — and whatever functionality you might add in the future. For more examples and tactics to launch a successful rollout of SMS support, check out our playbook of Berkey Filters, an online store that released SMS support to great adoption.
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Gorgias is the customer support and helpdesk platform built for ecommerce businesses like yours. Our live chat tools and 150+ integrations equip you to reach your customers — whenever and however you choose.
See how Gorgias supercharges customer support and helpdesk via SMS. Alternatively, check out more information about our integrations with:

As a manager of customer experience and retention, I've seen my fair share of customer service challenges. I even co-host the Oopsie Podcast, where we chat with leaders in DTC about their biggest on-job mistakes.
While the occasional error is inevitable, these random blunders don’t determine the quality of your company’s customer support. It’s really about how you address not only these one-off situations but also the bigger challenges that customer service teams face, day in and day out.
In this article, I'll talk through 12 of the most common pitfalls plaguing growing support teams, and give actionable advice to resolve each one.
With some awareness of these challenges, and the right systems to solve them, you’ll set your team up for success and give your customers the A+ experience that keeps them coming back.
Striking the right balance of staffing and skills for a customer service team is tricky. Under-resourcing leads to agent burnout, but overstaffing drives up costs and causes even bigger problems.
Use the strategies ahead to better allocate your company resources, increase the productivity of your team, and maintain consistent service quality (without going over budget).
Let’s bring it back to basics for a moment: a customer support agent’s job is to answer questions and address customers’ problems, along with maintaining incredible feedback loops. However, too many teams strictly focus on clearing the ticket queue, measuring the impact of their support teams with non-business metrics like response and resolution times.
Of course, these customer support metrics are important. But they’re only pieces of the larger picture of your team’s impact on the business.
Another common pitfall? Aiming for overly broad goals of “surprising and delighting” customers without a real understanding of how support impacts the whole customer journey or business ROI.
The reality is that customer experience (largely driven by the support team) has many touch points across the entire customer journey (from pre-sales to post-sales) that lead to more sales and customer loyalty.
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It’s important for your customer service team to proactively measure and prove ROI. Without knowing how much money your customer experience (CX) drives, you’ll never:
If you only measure first response time and average handle time, you're only seeing whether your agents are good at answering tickets. Not whether they’re boosting revenue.
Expand your KPIs and reporting dashboard to track customer retention rate (CRR), customer satisfaction (CSAT) score, and conversion rate from customer service conversations.
If those are your base measurements, you'll incentivize support team members to act more as sales agents by reaching out to customers proactively to suggest products. This encourages happy customers to leave product reviews and other tactics that boost revenue.
And if you use Gorgias, like my team at Chomps, you can focus on CX-driven revenue even more with this Revenue Statistics dashboard:
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As your business gets bigger, it’s tougher to build a team that provides high quality customer support.
Growing a team? Easy, lots of people are looking for jobs. But scaling with the right people? That’s another challenge entirely. If you hire low-quality agents and provide poor training, your team’s morale, performance, and ROI will begin to snowball:
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Hiring skilled customer service reps — that you compensate competitively — is the first key to solving this challenge. People often view customer service as a junior, anyone-can-do-it kind of role. That’s just not the case.
Especially in ecommerce, customer support has a huge impact on revenue. Between pre-sales support and post-sales conversations that drive loyalty, it makes much more sense to hire support reps as though they are sales associates. Because, in many ways, they are.
Once you hire an all-star team, choosing a customer support platform that includes built-in product training (like Gorgias Academy) can improve your onboarding process. Base your training on real data about your support team’s performance to help you focus your training on the areas that matter most.
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Check out this ultimate guide to customer service hiring for a step-by-step process that attracts strategic, empathetic, and business-minded agents.
For all the excitement of shopping events like Black Friday and Cyber Monday, there’s also a bit of pre-holiday scaries. Record sales also mean record tickets and record returns. It’s a great season, but an incredibly busy one.
The challenge is keeping up with a high degree of tickets without losing the fast responses and helpful, customer-centric approach.
The best way to keep up with tickets (and preserve enough energy to nail the most challenging tickets) is to lean on self-service in your chat widget.
Self-service is a bit like a chatbot, but set up for customer success (rather than customer irritation). While chatbots try and imitate people, self-service provides simple functionality and workflows to answer common questions, track orders, request returns, and more.
Watch this video to understand a bit more about what self-service from Gorgias’ Automate can do for your brand:
If you still struggle to meet demand during busy seasons, even with the help of automation, think about how you can engage your larger team, beyond even CX, to help.
I always talk about how everyone at Chomps is trained on Gorgias (whether they work in CX or not) so that if we have a temporary increase of tickets, we can ask anyone in the company to step in and help out. We love the feature that Gorgias allows unlimited seats that allows this to be possible unlike other helpdesk platforms.
Another option to consider are services such as Simplr which provide remote support agents on demand.
Customer service teams are deeply empathetic, wanting to create the best experience possible for every customer. Unfortunately, this can be a double-edged sword. Even if 99% of customers are patient and understanding, it's hard not to dwell on the 1% who are rude or impatient. The frustrated customer messages and the social media callouts take an emotional toll over time, leading to burnout and turnover.
When good reps leave due to unrelenting pressure, it creates gaps in knowledge and relationships that weaken customer service overall. The long-term effects can ripple through an organization, affecting morale, team cohesion, and the reputation of your customer service department.
The key is being proactive in supporting your team, not reactive. If a rep tells you they need help, it's often too late — the stress has already set in. Instead, provide a range of resources ahead of time.
Being proactive with resources shows your team you care, prevents disengagement, and ultimately provides better customer experiences. Supporting your team’s well-being strengthens service quality across the board.
New technologies can improve how your customer service teams operate, giving customers a better overall experience. But there’s always the whole "how the heck do we use this?" phase. offering innovative solutions to better processes and elevate customer experiences.
Balancing the excitement of modernization with the hurdles of integration is a common challenge that teams grapple with.
Many companies fall into the trap of investing in customer service tools that promise to do it all — from automated chatbots to crowded helpdesks. But trying to be everything for everyone often leads these generalized tools to frustrate customers more than help them.
A general chatbot, programmed to answer a broad range of queries, can misinterpret nuanced or specific questions, leading to inaccurate responses. Instead of guiding the customer towards a solution, it becomes an obstacle, prolonging the resolution process and frustrating customers more. Without customization, the promise of convenience is overshadowed by the bot's lack of specialized knowledge and inability to provide personalized customer service.
Rather than investing in generic tools that promise to do it all, carefully evaluate solutions purpose-built for your business’s specific needs. For ecommerce, this means identifying where automation can step in to handle high-volume repetitive inquiries like order tracking and refunds. Investing in tools designed to deflect these common questions frees your team to focus on more complex issues that need a human touch.
My team uses Gorgias Order Management Flows for self-service order tracking and automated return/refund requests. Customers can quickly check their status, report issues, or start a cancellation without agent assistance. Not only does this resolve the most frequent customer questions instantly, but it also reduces ticket volume so our customer service reps can spend time building relationships through personalized service.
With the right tools to handle common inquiries in the background, your team is empowered to deliver exceptional human-centric experiences.
Customers jump between email, social, chat, and self-serve, expecting seamless support. A 2019 report from Salesforce found that 69% of customers want connected experiences, anticipating that the customer service representative they interact with across various channels to have the same information.
Yet, delivering omnichannel customer service across all platforms isn’t easy. Siloed experiences across channels frustrate customers and complicate agent workflows.
An omnichannel helpdesk, like Gorgias, unifies customer service delivery across platforms. Instead of toggling between disconnected inboxes, agents handle all queries from one tool. Customers receive quick, consistent assistance whether they email, chat, SMS, or reach out on social media.
Making use of omnichannel communication comes with a slew of benefits:
With a unified helpdesk, interactions build loyalty rather than frustration. The simplicity of managing all touchpoints from a single window creates seamless customer and agent experiences.
Well-informed, knowledgeable agents provide better service. From inconsistent rep expertise to keeping docs updated, knowledge-related challenges impact customer satisfaction.
If a customer calls your company and doesn't get the answer to their question, they won’t leave the interaction feeling good about your brand.
Of course, customer service reps can't know the answer to every question off the top of their head. If your team doesn’t have the correct answers, often it’s a leadership issue. This makes it essential to provide your reps with all the resources they need to address each customer’s needs — fast.
Lean on a knowledge base videos, and other resources that your customer support staff can use to find answers to common questions. It’s different from an external help center or customer-facing knowledge base and more extensive than an FAQ page. Your knowledge base can be an easy reference tool for agents whenever they need to double-check a customer service policy or product.
You can also program that knowledge directly into your helpdesk. Gorgias allows brands to create templated Macros that are easy to use and customize as needed. You can create templates for common questions and issues, building an internal knowledge base for your agents to pull directly into customer tickets.
Here’s an example from our Macros at Chomps, for a technical question that agents might not know off the top of their heads:
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This way, customers get consistent, accurate information, and agents don’t have to guess or dig for an answer.
That said, when it comes to instilling product and policy knowledge, nothing replaces your onboarding and training process. I recommend spending these sessions to educate your reps on the following:
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Sometimes support tickets need a higher-up to step in and sort them out. If your company doesn't have clear steps for bumping these tickets up, some might slip through the cracks.
This leads to angry customers who feel your company isn’t interested in fixing their problem.
Creating policies for escalating support tickets is the obvious place to start in addressing this challenge, but it's also helpful to automate ticket escalation to ensure that no ticket (or customer) gets left behind.
With Gorgias’ Rules, support agents can automatically transfer a ticket to another agent or team without having to manually collect customer information and reassign the ticket.
Gorgias also allows you to create rules for escalating tickets automatically, such as a rule for automatically escalating tickets when the platform's Sentiment Detection feature detects that a customer is angry.
Here’s an example of a Rule that uses Sentiment Detection to flag tickets where someone may leave a bad review:
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Every chat with a customer matters for keeping them happy and loyal to your brand. The tough part? Calming down heated chats, juggling multiple questions at once, and giving that personal touch even when you're swamped. The way agents handle each chat really shapes how the customer feels.
Dealing with angry customers is a part of the job that very few support agents enjoy.
However, empathizing and working with customers, no matter how upset they are, is just part of good customer service.
Angry customers who eventually calm down are potential customers who might return to your company — they are also less likely to leave negative reviews that could damage your brand image.
Most blog posts claim the best way to deal with an angry customer is to practice patience and empathy, maybe with a pre-written script. And if you want that kind of advice, check out this blog post with an example script for how to deal with an angry customer.
But let's look closer at the root of most customers' anger: The shopping experience didn't happen like they thought it would. The best way to mitigate that anger is to lean into proactive customer support:
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For example, develop a great post-purchase experience to avoid customer anger. Send customers a detailed order confirmation, clear step-by-step information about when their product will be shipped, and how to track their order.
If you’re not sure where to start, listen to your customers. This guide to collecting customer feedback explains how to take insights from customer support tickets.
If you want any hope of achieving industry standards for metrics like first response time and resolution time, your customer support reps need to be able to work with multiple customers in real-time, across communication channels (like live chat and social media).
This is one of the more challenging aspects of the job for small teams. Thankfully, it is also something that the right customer service software can go a long way toward helping your customer service agents achieve.
If you aren’t already, consider using a helpdesk to manage customer conversations across all channels. A helpdesk pulls these conversations into one centralized inbox so your team can offer omnichannel service — a fancy way of saying offering support to customers on all channels without having to switch between tabs.
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Once your helpdesk is up and running, direct your customers away from calling your support line and towards your Contact Us page.
I recommend funneling as much traffic to a Contact Us page as possible because we have Rules set up based on the drop downs that the customer chooses. Those Rules organize the tickets into different views so that we can work based on urgency.
If they want to talk to an agent quickly, use channels like SMS or live chat.
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Delivering excellent service quickly is crucial, yet difficult. Customers expect fast, personalized responses and consistent experiences. Challenges include managing wait times, meeting service-level agreements (SLAs), and upholding quality across a growing customer base.
Customers want the same feel every time they chat with your brand, no matter which agent they get. But since each rep is different, you might find a mix of tones and messages. It's a bit of a balancing act to keep the brand voice consistent while letting agents be themselves.
Having a solid brand style guide keeps things consistent whenever you chat with customers. To create one, define your brand personality, voice, tone, and writing style. Provide guidelines and verbatim examples for everyday interactions like greetings, apologies, confirmations, and closings. Make sure the language aligns with your values.
Here’s how to put your brand style guide into action:
While most customer service teams need to start thinking beyond resolution times, they’re still a tentpole of your team’s performance — and one of the biggest customer service challenges.
Customers expect an immediate response to their questions. This is especially true of younger customers, with 71% of customers between 16 and 24 years old stating that a quick response to questions and issues can drastically improve their customer service experience.
When your team already has more tickets than it can handle, meeting these customer expectations can be a real challenge.
Yet again, the answer isn’t to work harder — it’s to work smarter. Rather than trying to answer every question as quickly as possible, set up self-service resources to deflect simple questions and build systems to prioritize the rest of your requests.
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I talked about self-service above, but to recap, here are a few easy-to-implement solutions worth considering:
Once you’ve deflected, it’s time to prioritize. While you could prioritize each ticket by hand (sometimes called manual ticket routing), a helpdesk like Gorgias can help you do this automatically. Here’s an example of automation in Gorgias, called a Rule, that will put any customer requests to cancel a recent order (before it ships) into a priority queue:
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That’s just one example. Read this full guide to customer service prioritization for more guidance.
The common customer service challenges we've explored aren't just annoying — they directly impact revenue and customer loyalty.
Companies need to take CX seriously (and invest accordingly) to boost retention. We all know I’m a Gorgias girlie. My team at Chomps uses Gorgias for support, and it helps us be fast, helpful, and strategic with our support
If you’re an ecommerce company that hasn’t checked out Gorgias, I really recommend giving it a shot. Most of the challenges are going to be extremely difficult to solve without the right tools. And for my money, Gorgias is the best tool for ecommerce support teams.
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A recent McKinsey survey asked customer service leaders about their top priorities in 2023. The most common answers were retaining top talent, driving efficiency to cut costs, and investing in artificial intelligence (AI) solutions. In other words, two of the top three priorities involve customer service automation.
In support, automation can be a scary word: Isn’t automated customer service a bad customer experience? Frustrating chatbots are indeed something to be wary of, customer support automation can actually greatly improve your customer experience while saving your team hours per week on tedious, repetitive tasks.
This is your one-stop-shop guide to customer service automation. We’ll start by sharing some examples of customer support automations that automatically answer customer queries. Then, we’ll move on to some customer support automations to help your support reps skip repetitive tasks and become more productive.
Customer service automation refers to using technology and software to handle customer interactions and other tasks without human effort. It's like having a virtual assistant that can quickly respond to common questions, process orders, solve simple customer issues, and anything else to make things easier and faster for both customers and businesses.
Customer service automation could include automated answers, ticket triage, ticket tagging, and so much more.
This first set of support automations gives customers an answer without any agent interaction.
Automatic responses (also called canned responses or Macros) are pre-written responses that get sent to the customer when certain conditions are met. You can send automatic responses for a variety of scenarios, including:
With the right customer service software, you can send these automated responses on every channel (email, live chat, SMS, WhatsApp, and social media).
In your customer service software, you can set up Rules (or automated workflows that fire when certain conditions are met). Tools like Gorgias use AI to scan each incoming ticket and — when the ticket meets the pre-determined conditions — execute the Rule.
Here’s an example from Berkey Filters of an automatic response to let customers know an agent is on their way:

And here’s an example of an automatic response for customers inquiring about the status of their order.

An AI chatbot responds to questions that customers ask in your live chat. Unlike automatic responses, which are pre-written by humans and fire when certain conditions are met, chatbots respond to every message.
The benefit is that AI chatbots can try to respond to any type of question. The drawback is that AI chatbots don’t always have helpful or relevant answers. This can lead to a confusing and frustrating experience for customers.
AI chatbots don’t require any setup; you just have to buy and install them. Some automated helpdesks come with a chatbot, while other helpdesks integrate with standalone chatbots. For example, Gorgias integrates with Siena AI.
Check out our list of the best customer service software to find the right solution for you.
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Knowledge bases and FAQ pages are libraries of pre-written questions and answers that customers can use for self-service.

Technically, knowledge bases and FAQ pages aren’t automated. They offer static content and don’t use any sort of advanced technology to help you skip tasks. However, they help you skip answering tickets by proactively giving customers information that would have otherwise become a customer support ticket.
To get started, you can simply create a page on your website with frequently-asked questions. Most likely, your website platform includes an FAQ page template — but here’s an FAQ page template, if you need one.
When you want to upgrade to a full-blown knowledge base, you can find plenty of standalone customer knowledge bases or use a customer support software with a built-in knowledge base.
For instance, Gorgias’s Help Center lets you host a searchable, categorized library of help content — plus, other self-service resources like Flows and self-service order management (both of which we’ll cover below).
📚 Want some examples of FAQ pages? Check out our list of examples of FAQ pages.
With a robust knowledge base, you want to make sure the most helpful gets discovered when shoppers need it most. One way to do this is to use AI to automatically send articles to customers who ask a questions that's covered by one in your knowledge base.
This is a great way to instantly answer customer questions with detailed answers — including images, videos, and other rich elements that you can add to your Help Center.

Gorgias's AI scans every incoming message. When it detects that an incoming live chat or email message could be answered by an article in your Help Center, it send the message to the customer. It also gives the customer a prompt — "Was this helpful?" — that lets customers get in touch with a human agent if they still have questions.
Here's an example of Gorgias's Article Recommendations on Parade's website:

Note: You can activate Gorgias Article Recommendations without making your Help Center public. You just need to create articles in the Gorgias Help Center (but not share them externally) and activate Article Recommendations. Gorgias will treat your un-published Help Cetner like a hidden library to send to customers when appropriate.
Self-service FAQs are buttons customers click to get instant, pre-written answers. Whereas, automatic responses require input from customers, self-service FAQs don’t require customers to type anything out — they just click a button for an answer.
Here’s an example of self-service FAQs from ALOHAS:

The easiest way to set up self-service FAQs is to use a helpdesk or live chat software.
In Gorgias, self-service FAQs are handled by a feature called Flows. Flows can even be interactive, prompting customers to share information (like their preferences or location) to give a more helpful, personalized answer. Here’s an example of Flows from VESSEL:

Flows give customers an easy, automatic answer to a lot of questions they would normally have. If we just had one response, we would link our FAQ page, but they don't always read that. Flows allow them to interact and get specific answers.
—Alisa Ogden, Sales Manager at VESSEL
For the average brand, “Where is my order?” (WISMO) is the most common question, accounting for 18% of incoming requests. And based on math from 12k Gorgias merchants, the cost of answering those tickets manually is $12/ticket.

You can offer self-service order tracking to empower customers to track their own orders. This is more convenient for customers, who don’t have to type out a message or wait for an answer. It’s also more streamlined for your support team, who now has to deal with 18% fewer tickets, and can focus on higher-value interactions.
Some chatbots can track the status of your order, but most have a hard time handling those kinds of requests accurately and with real-time data.
If you use Gorgias, you can use Order Management Flows (part of Automate) to let customers see the status of their order in real-time, in your site’s chat widget and Help Center:

📚 Want to learn more? Check out our complete guide to providing order tracking.
After questions about order status, the most common support questions are “Can I cancel my order?” and “Can I get a return?” Automating these return and cancellation requests can be a major time-saver for customer service teams.
Even if you don’t completely automate the returns process — some brands like to have a human approval process — you can automate the return request process. It’s much easier than getting an email that says “I need to return something,” and having to go back and forth to get all the details.
The best way to automate the returns process is to set up a self-service return portal with a tool like Loop Returns. Loop makes it easy for customers to log in, select a recent order, and return or exchange it — completely on their own.
Loop even gently urges customers toward a return, to protect your company’s revenue from expensive returns.

To automate the request process for returns and exchanges, you can use a tool like Gorgias. Gorgias Order Management Flows let customers request a return, request a cancellation, or report an issue with their order in an easy, structured way. They don’t have to type out a message — just log in and make a few clicks.
Here’s an example of Order Management Flows in Loop Earplug’s chat widget (they’re also available in the Help Center):

You can even integrate Loop and Gorgias to send customers to your return portal from your chat widget:

📚 Interested in improving your returns? Read our guide to reducing returns in ecommerce.
This second set of support automations doesn’t give automated answers; instead, it helps agents work faster, improving the efficiency and productivity of your team (giving them time to focus on human tasks).
Even if you send responses manually, you can use automation to help personalize the messages. Specifically, you can use variables that automatically pull customer information (like order numbers, addresses, and more) into the message.
This helps your customer service agents offer the most relevant, accurate information possible without forcing them to switch tabs and copy/paste the customer’s information.
📚 Read more: Get more tips to offer more helpful, personalized customer service.
Every customer support platform offers some version of variables to help you personalize support messages — even Gmail, if that’s what you’re using. However, the best solutions can pull from your other apps to broaden the scope of possible variables.
For example, Gorgias has 100+ ecommerce integrations so you can pull customer information from Shopify, marketing software, subscription software, shipping software, and more. This makes Gorgias a CRM of sorts: It gathers and stores customer data that you can use to personalize the interactions.
With Gorgias, these variables can even be used in automated responses (on top of responses your human agents send):

If each of your tickets need to be manually reviewed, you’re adding to your set of customer service challenges, and eating up tons of time. If a generalist agent receives every ticket and manually passes technical or escalated tickets to the right person, you’re delaying the resolution times for those key tickets.
Instead, you can set up automation that scans incoming tickets and automatically assigns tickets to specialized teams, like Level 2 team for complex issues or a team of Support Engineers for technical questions.
Most helpdesks include features to automatically assign tickets. To get started, you’ll need to set up assignment conditions. Helpdesks like Gorgias scan every incoming ticket to understand the tone and contents. Then, it can automatically assign tickets based on what it finds based on your set conditions.
You can get creative with these assignments. For example, you can assign:
Here’s an example of a Gorgias Rule that automatically assigns incoming live chat tickets to a dedicated team:

Just like assignments, ticket prioritization is another valuable automation. It can remove a manual step if you currently have someone triaging all incoming tickets. Plus, it can make your team more strategic and effective by ensuring you answer time-sensitive or high-value tickets before it’s too late.
For example, you can automatically prioritize pre-sales questions that come in on live chat — these kinds of questions often block sales for someone who’s actively shopping on your site.
You can prioritize incoming tickets in your helpdesk with Rules, or configurable automations. Just like ticket assignments, Rules fire off automations when a ticket meets certain criteria — including support channel, ticket intent, sentiment and tone, and hundreds of other factors.
Here’s an example of a Rule that prioritizes tickets about orders that were placed in the last two days:

The logic here is that you want to see tickets about recent orders in case someone needs to cancel or change their address — you can catch it before the order ships, saving on unnecessary shipping costs.
Want to get strategic with ticket prioritization? Read our Director of Support’s guide to prioritizing customer support requests.
If you offer voice support, interactive voice response (IVR) is an easy way to automatically route customers to the right agent and even answer some basic questions without talking to an agent at all.
Have you ever called a business and been told to press 1 for hours, 2 for electronics, and 3 for all other questions? That’s IVR. It saves agents and customers alike tons of time transferring calls and answering repetitive questions.
Most phone support systems include IVR — you just have to decide how you’ll map out your IVR automated system and set it up. Remember, IVR can automate two things:
If you use Gorgias support, you can set up IVR with voice recordings or text-to-speech:

When agents process tickets, giving a helpful answer is only part of the job. Another key element of support is tagging tickets. Tags help you:
If agents have to manually tag each ticket, you’re adding a time-consuming step to the process. More importantly, you’re opening yourself up to human error. If an agent rushes through their work and misses a few tags, this could skew your data and reporting and cause bigger issues down the line.
Luckily, automation never has an off day.
The right helpdesk tool scans incoming tickets and can tag them based on the ticket’s channel, contents, tone, and more. In Gorgias, this automated ticket tagging happens through Rules.
Here’s a Rule that automatically tags tickets as Urgent when they contain key words that indicate the customer accidentally made an error while ordering and needs to update the order before it ships.

You could use a similar approach to automatically tag tickets with customer feedback, shipping issues, product malfunctions, and so on.
Another helpful automation helps agents identify which messages don’t need attention.
If your email is publicly available, it’s only a matter of time before you’re added to spam marketing lists. For instance, if your email address is connected to Shopify, you’ll get automated emails for every payment notification. Agents don’t need to deal with these, and you can save time by using automation to clear them from the queue.
You can set up Rules in your helpdesk to automatically detect and close tickets that don’t need an agent’s attention.
Here’s an example of a Rule that targets payment notifications by identifying messages that contain words like “Payment received” or “You received a payment,” as well as messages from emails starting with “noreply@” or “donotreply@.”

Gorgias’s Automate also automatically closes all no-reply tickets. Thanks to Gorgias’s always-improving machine learning, you don’t have to set up a Rule.
Most customer service is reactive; answering incoming questions and resolving incoming issues. However, top brands know to offer robust proactive customer service. One way to do that is by reaching out to shoppers actively browsing your website.
With the right automation tools, you can automatically reach out to shoppers, targeting certain browsing behaviors and customer attributes (to ensure you reach the right person at the right time). These are called chat campaigns.

With Gorgias, you can easily set up chat campaigns to target visitors based on a wide variety of factors:

Once you set up the automation, you can write a message that lets the customer know you’re available to answer questions, reminds them of a promotion, offers a special incentive, and so much more.
If the customer replies, they’re connected with a live chat support agent and can get any additional information.
Why invest in automation? The main reason is to achieve more efficient customer service processes. But let’s drill down into some of the specific benefits.
Automated customer support has a 0-second response time — even the fastest agents could never respond to customer requests that quickly. While automation answers simple inquiries, your team is free to jump on complex issues.
While some brands think that automation ruins the customer journey, response and resolution times are one of the most important customer service metrics to boost customer satisfaction (CSAT).
For some issues — like complex or sensitive ones — a human touch goes a long way. But for repetitive, rote interactions, the “human touch” might mean forgetting a step or explaining something poorly. When automation is set up correctly, it never makes an error.
Research from McKinsey found that companies save 20-40% on customer service costs with an effective rollout of automation technology. While automation shouldn’t take jobs away from human agents, it can help businesses grow without burning out their agents or falling behind on tickets.
Your tool’s pricing may vary, but Gorgias’s Automate handles an average of 30% of all tickets, for 1/5 the cost of a customer service agent.
Your agents have better things to do than copy/paste order statuses. As automation handles more menial customer service tasks, your team can ensure they’re providing the best experience to higher-value customers and more complex issues.
Your business might not have the resources to staff a 24/7 support team, but by automating customer service — even the most basic functions — you can offer a layer of 24/7 support.
People have different communication styles and personalities. They can also make mistakes and cut corners. Onboarding reps may even give the wrong answer while trying to keep up.
Automation is an avenue for ensuring answers are on-brand and accurate. This helps give customers a consistent experience and also helps prevent newer staff members from making unnecessary mistakes.
Customers expect to reach you through a variety of channels, including email, social media, phone, SMS, and more. As your team explores an omnichannel support strategy, customer service tools with automation features can streamline your progress.
When automation is used in the wrong ways, it creates a terribly frustrating experience for customers.
AI chatbots are a great example: While they can answer some basic questions, they might also attempt to answer complex questions but return with inaccurate answers. If customers can’t easily get in touch with a human, they’ll leave your site.
The best course of action is to use automation that consistently improves specific parts of the customer experience. Avoid supposedly catch-all solutions. And always give people an easy way to contact a real person.
Automation — especially generative AI, which writes messages from scratch — can be stiff. Rather than rely on automation to draft messages to customers, consider using automation that triggers a pre-written message from humans (adding customer data where appropriate).
This grants you the benefits of automation while still ensuring the customer gets an on-brand, accurate, and human-sounding message.
If AI automation is responsible for managing too many customer interactions, it might not notice or take advantage of clear opportunities to upsell or cross-sell customers.
For example, if a customer claims their device dies too quickly, your chatbot might generate tips for them to make their battery last longer. A human agent might do that plus send a link to an upgraded device that lasts longer.
The best course of action, again, is to avoid over-relying on automation. Choose automation that’s really great at automating specific tasks, so human agents are still integrated into the process and can capitalize on these particular situations.
Automation, like any technology, is subject to the occasional glitch or downtime. While this shouldn’t scare you away from using automation, it’s a good reason to avoid over-relying on automation to complete all your customer service duties.
Automation is only helpful if it’s strategic and set up correctly. Here are some automation best practices to keep in mind:
Never trap your customers in automation (or chatbot) hell. Always offer a clear path to human support.
The most common example is in the chat widget. Even if a human isn’t immediately available, at least give customers a way to submit a message that your agents answer via email once they’re available.
If you use Gorgias, every automated interaction offers customers a clear path to talk to an agent. Here’s an example of this in action from Steve Madden:

Customers generally appreciate the speed and convenience of automation. But they get grumpy when they think they’re chatting with a human, and get an inaccurate, robotic response.
When you’re sending automated messages, consider labeling the message as Automated to be transparent with customers. In Gorgias, automated messages are labeled as automated, and you can choose an avatar that sends automated messages.
Here’s an example of this in action from Loop Earplugs:

One fear of automation is the robotic, inhuman tone of messages. But automation can actually help you personalize conversations more. The trick? Use on-brand, pre-written messages and introduce variables that automation fills in with customer data.
In Gorgias, you can use a wide variety of variables to populate the automated message with the customer’s name, shipping address, order status, estimated delivery date, and much more.

There’s no such thing as one-size-fits-all automation software. If you’re selling software or a subscription-based SaaS platform, you’ll likely need a different toolset than a vendor selling clothing or tea via an ecommerce website.
Daily interaction types are going to vary considerably. For instance, customer support at a clothing company will deal with sizing and out-of-stock issues or returns and exchanges. None of those needs apply to a B2B software company.
Rather than choosing automation that claims to work for each of these different use cases, choose automation custom-built for your unique needs.
Automation isn’t set-it-and-forget-it software. You should consistently review automated interactions and be prepared to tweak your automation software to ensure:
The best automation replaces tasks that don’t need human input, like repetitive tasks that humans find tedious.
Instead of turning to automation as a replacement for a human team, look for ways automation can speed up the work of humans or let humans focus on complex problem-solving and conversations that require empathy and human interaction.
Be sure you’re choosing a tool that aligns with the technical abilities of your team — especially if you don’t have any highly technical staff. Most customer service software companies now design their products with non-technical users in mind, as a result.
Automation introduces a small amount of risk when it comes to data security and privacy. When shopping for customer service automation software, be sure to check the vendor’s security. At a minimum, look for software that has single-sign-on (SS), SOC 2 Type II certification, and HIPAA compliance.
Gorgias is the customer service platform built exclusively for ecommerce companies, and powered by a suite of AI and automation features. Your agents will save hours per week by cutting out tab-switching, copy-pasting, and manually assigning and tagging tickets.
Gorgias also features the Automation Add-on, which includes a variety of self-service features to help your customers get instant answers to basic questions. Automate users can automate 30% of all customer interactions — up to 45%, for top users!
To learn more about Gorgias and Automate, book your demo today.
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Black Friday — Cyber Monday (BFCM) is the most lucrative opportunity for online stores around the holiday season.
In 2022, nearly 10% of all revenue generated between October 1st and December 31st occurred during the BFCM weekend, according to Adobe.
But just like BFCM sales skyrocket, product returns also surge after the weekend, so much of that extra revenue gets erased.
You can combat Black Friday returns issues in two ways:
In this guide, you’ll learn proven tactics for achieving both of these goals and retaining your BFCM revenue.
ZigZag Global’s proprietary metrics showed a 60% increase in return rates after the Black Friday weekend last year, compared to 2021. Loop Returns puts that number at 31%.
Regardless of the specific numbers, most ecommerce stores face inflated return rates post-BFCM. There are a few common reasons:
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Throughout the following sections, you’ll learn ways to avoid (or at least mitigate) these problems.
While you can’t evade all BFCM returns, you can limit them significantly by following the best practices below.
A successful BFCM starts way before November. You want to estimate how much inventory you’ll need and order everything at least a few months in advance, depending on how long the shipping process takes for your suppliers.
If you wait too long, you can end up scrambling to secure inventory at times when supply chains are at maximum capability. This can easily lead to shipping delays and returned items.
The best way to estimate how much inventory you’ll need is to use historical data.
For example, if you use Shopify, you can use your Shopify order history data (or the equivalent in your platform) to filter BFCM orders and compare them to the rest of the year. This will give you a good baseline of how much sales typically jump, so you don’t waste money on inventory you won’t sell and don’t miss out on revenue because of understocking.
Here’s a great guide to BFCM inventory planning, if you need more help.
Providing timely pre-sales support is a powerful way to reduce returns because it lets you:
Gorgias — our ecommerce helpdesk software — has various features that can help you implement this strategy.
For example, Flows are self-service Q&As that live in your chat widget and Help Center. Customers can use Flows to get personalized product recommendations, ask about promotions, and learn about your shipping and returns policies — all of which are great ways to instill buying confidence and nudge shoppers toward a purchase.
Here’s an example of Flows from Princess Polly, where customers can find the most accurate returns policy for their location without having to talk to an agent.
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For a real-life example of the impact of pre-sales support, check out our case study with skincare brand Topicals.
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They were able to increase sales by 79% and deflect 69% of incoming tickets by educating customers pre-sale thanks to Gorgias’ chat automations.
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If product descriptions and product photography don’t match what customers receive, high return rates are imminent.
That’s why it’s a good idea to audit your website a week or two before Black Friday and check if each item’s image and description are accurate. Or, if you don’t have the bandwidth, at least audit the best-selling products and ones that are about to be discounted.
One company that does a great job in this regard is Marine Layer. They offer tons of relevant details under their products, including their exact dimensions, the size of the model wearing the clothes, and more.
Here’s an example from one of their product pages:
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This in-depth information helps shoppers make the right choice and helps the brand avoid unnecessary returns down the line.
As I said, broken items are among the most common reasons for returns. You want to ensure all shipments (especially ones containing fragile items) are packaged in a way that can handle more wear and tear than usual.
If you have access to specialized machines like ECT or Mullen testers, you’re probably doing this anyway. But even if you aren't, the process doesn’t have to be complicated. Just package one or two products and throw them around the warehouse a few times to see how they hold up — we did this at a previous company of mine, and it was educational and entertaining.
The post-purchase experience begins after a customer completes your checkout process. Making this experience useful for your shoppers will reduce the number of returns and help you create long-term, loyal customers.
Here are four essential post-purchase best practices to follow:
Good order confirmation emails are a must in terms of lowering shoppers’ post-purchase anxiety and reducing unnecessary tickets to your support team.
Make sure to automate them, so that they’re sent immediately after a customer completes your checkout flow. The email itself should include:
Giving customers a way to track their orders is a great way to improve their experience and reduce the load on your support team.
For example, you can use Gorgias’ Order Management Flows to let customers check their order status, package tracking number, and shipping details. This is a great way to keep shoppers informed while deflecting WISMO (“Where is my order?”) requests from becoming support tickets.
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Whenever shipping delays can’t be avoided, you want to be upfront about the issue with your customers.
Tell them when they can expect the delivery and apologize for the inconvenience. You can also throw in a shipping discount or another incentive if you feel it’s necessary to prevent potential returns.
These might be instructions on how to apply a skincare product, wash a piece of clothing, or configure a Bluetooth speaker.
Regardless of the specifics, you want to make sure shoppers have easy access to the necessary information. This will prevent them from returning products just because they couldn’t figure out how to use them.
Note: For even more details and examples, check out our 10 ways to reduce ecommerce product returns.
In some cases, it’s not possible to avoid returns altogether. When that happens, you want to ensure the return process is as cost-efficient as possible, so you can avoid wasting customers’ effort, as well as your team’s time and resources.
Here are three ways to do that.
This option lets you keep at least part of the revenue and profit margins that would’ve otherwise been lost. Plus, it can help you delight customers with products that they might not know about, so it’s a win-win for both sides.
There are two ways to implement this strategy:
You can instruct your team to approach return requests as opportunities for an exchange.
If you use Gorgias, your agents can have access to all customer data in one place, so it should be easy for them to suggest relevant products based on each shopper’s previous interactions and purchase history. Plus, with live chat support, your team will be available to customers at every step in the process.
Loop is a returns management app that lets ecommerce businesses embed a self-service return portal on their site.
Besides saving you time (since it’s self-service), the portal can nudge shoppers to exchange their products instead of returning them. This can be done via bonus credits, for example, which give customers more in-store credit than they would get as a refund in the original form of payment.
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Jaxxon is one of the ecommerce brands that employ this tactic on their site. They’ve embedded Loop’s return portal, which helps their agents save time and encourages customers to exchange instead of return.
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They also provide live chat support (via Gorgias) within the portal to answer questions and potentially steer customers away from a return. For instance, their agents can:
Note: Gorgias and Loop Returns can be integrated. This integration allows customers to talk to a support agent while navigating the returns portal. That way, agents have a chance to troubleshoot any issues that may be causing the return (or steer customers toward an exchange).
Another challenging aspect of BFCM is the influx of questions to your support team, many of which have to do with returns, like:
That’s why you should have your returns policy linked in highly visible places on your website. For example, you could place links to the policy in your site’s navigation or even have a small pop-up that encourages shoppers to read it.
With Gorgias, you can reduce the volume and impact of these repetitive tickets even more by:
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As mentioned, shoppers often buy Christmas gifts during BFCM. If your return window is 14 or even 30 days, most of the people who receive a gift won’t be able to return it in time.
This can lead to bad reviews, angry shoppers, and poor customer retention (especially for first-time customers). That’s why it’s a good idea to extend your return window after Christmas and New Year to ensure a good customer experience.
With self-service returns, online shoppers don’t have to wait for an agent to get to their request, while agents can focus on more complex tickets (or on generating revenue via proactive customer service).
To implement this tactic, you first need to provide shoppers with clear, detailed instructions on how to return their items. These instructions should be included on your site (e.g., on FAQ pages or in helpdesk articles) and can even be printed and shipped alongside the product.
As I said earlier, you can also use Loop Returns to provide shoppers with a self-service return portal on your site. Loop’s portal is easy-to-use, so shoppers can go through it without any unnecessary hassle.
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From a revenue protection perspective, you can also have Loop nudge customers toward exchanging items instead of returning them. According to their data, companies that use Loop turn 57% of returns into exchanges.
Increases in post-BFCM returns are extremely common and in some cases — inevitable.
However, with the tactics outlined in this article, you can minimize their number and impact on your revenue. You can also streamline the return process, so you’re not spending unnecessary time, effort, and money on returning items.
Here’s how Gorgias can help you in both regards:
Gorgias offers a plethora of features that can reduce the load on your agents during this year’s shopping season rush — from automated responses to self-service flows, and much more.
Plus, our integration with Loop Returns lets you create a seamless return experience. Shoppers can use the Loop portal for self-service, while also contacting your team if they get stuck (which is a great opportunity to nudge them toward an exchange).
Gorgias centralizes all customer service tickets in one place. This means your agents don’t have to waste time switching between tabs to handle return requests from your website, email, SMS, and social media profiles, for example.
Your agents can use Gorgias chat campaigns to communicate with customers and help them find the right products for their needs (which helps reduce returns down the line).
They can even create proactive chat campaigns aimed at specific visitors to promote BFCM discounts, cross-sell or upsell specific items, reduce cart abandonment rates, and much more.
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Lastly, you can also check out our Black Friday Marketing Guide for 18 ideas and strategies that can help you drive more Black Friday sales this year.
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Let’s cut to the chase: Black Friday and Cyber Monday customer support is intense. For ecommerce customer support teams, the flood of tickets is the online store version of shoppers mobbing through brick-and-mortar stores.
It’s easy to focus on just getting through the flood of tickets. But If you’re proactive, your support team could actually reduce the number of incoming tickets with automation. And with all that time saved, the support team can have a huge impact on the cumulative success of the weekend by unblocking sales, reducing return rates, and more.
Customer support teams are not just there to answer tickets during BFCM — they are key at every stage along the customer journey:

An unprepared or understaffed support team is the quickest way to kill your BFCM success. And with $209.7 billion in forecasted online spending at stake, that’s not something you can take for granted. Here are 5 steps to make your support team the hero of Black Friday 2023.
Ecommerce sales depend on clear policies around shipping, returns, lost packages, and more. When customers don’t know your policies, they’ll either write to your support team (if you’re lucky) or abandon their cart entirely and head over to Amazon (more likely).
In the first case, your support team is stuck answering repetitive questions like, "What's your shipping policy?" when customers should really have easy access to that information on their own. In the second, you’re directly losing online sales because of a lack of clear customer self-service options. Either way, we’re here to help you solve it.
“Make sure all of your policies are up-to-date before Black Friday-Cyber Monday, and communicate them to both agents (through your SLA) and customers (on key pages of your website). This will reduce the number of tickets you have to field and ensure customers have the information they need to make a confident purchase decision.” —Bri Christiano, Director of Support at Gorgias
Most customers use BFCM weekend to lock in holiday gifts, so their number one concern on BFCM (after what deal they can score) is often around delivery dates. They want to know if their order will make it on time for the holidays.
Before communicating shipping dates to customers, work backward with your fulfillment team to determine the absolute last day orders can ship and still arrive in time (factoring in holiday shipping delays).
Once that “drop dead” order date has been determined, it needs to be clearly communicated to holiday shoppers, along with any opportunities to speed up shipping for an additional fee.
Here are some common customer expectations around fulfillment you may want to consider (thanks, Amazon!).

Make your shipping policies (and the “drop dead” date) clear in your:
If you feel uncertain about what those shipping policies should be exactly, check out our guide for ecommerce shipping and fulfillment best practices. Better safe than sorry with an inbox full of angry customer emails.
Common reasons packages are lost are:

Stuff happens. Being upfront about what customers can expect if the worst-case scenario happens is key to recovering and retaining that customer relationship.
Your customer-facing lost package policy should include:
And, don’t forget to set your support agents up for success by providing them with a process that explains:
This will help your agents handle the process quickly and consistently, and give your customers the peace of mind that they will be made whole if something goes wrong.
If you’re creating this policy from scratch or want to make sure your policy is covering all your bases, check out our guide on how to handle lost ecommerce packages.
If you’ve ever bought a gift for “ the person who has everything” or received tighty-whities from Great Aunt Margret for Christmas, you know how important a return policy is. More than ever during the holiday sales season, your customers are going to want to know your return policy. And, while you can’t eliminate the BFCM returns, you can at least reduce the number of them if you understand where they’re coming from.
In addition to gift returns, the top reasons online shoppers choose to return a product include:

To reduce ecommerce returns, during BFCM or any other time, the more information you give upfront, the less likely people are to return the items later on. Your return policy should be crystal clear to both support agents and customers about the conditions under which you will accept a return for either a refund or exchange. Not sure where to start? Check out our return policy template generator to get started.
Similar to the shipping policy locations, you want to make your returns and exchanges policy (or at least a link to the full policy) as visible as possible to avoid unnecessary support tickets.
Make your returns and exchanges policies clear in your:
A service-level agreement (SLA) is a document that describes what the client or customer can expect from the provider. A strong SLA is foundational to cultivating understanding and maintaining high satisfaction with your existing customers. Making sure your SLA is up-to-date is more crucial than ever when entering into the busiest times of the year when customer expectations are at their height.
Here are some things you should add to (or update) in your SLA for BFCM:
Berkey Filters, an online retailer that sells water purification systems, does a great job of sharing its SLA for live messaging channels with customers. Their Help page acts as a sort of customer support landing page, setting expectations with customers about the fastest way to reach the team — 2 minutes, for SMS and live chat support.

Your agents have more important things to do than answering the same basic questions over and over (and over and over). The trick? Setting up self-service resources to help customers help themselves.
This includes making information easily accessible by leveraging automation to answer simple or repetitive questions (e.g. “What size am I?”) and making sure your FAQ pages are up-to-date.
With tools like Gorgias, you can even use AI to automatically suggest articles when customers ask last-minute questions in the chat.

Some examples of ecommerce brands taking help centers to the next level are:




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Gorgias merchant data shows that the average ecommerce business will see a 20% spike in ticket volume during BFCM. That increase in volume can cripple a support team if you don’t take the time to forecast your ticket volume and staff accordingly. You’ll want to make sure your team has the capacity to answer revenue-driving questions in a timely way so your customers don’t abandon carts due to wait times.
Proactive and data-driven forecasting is the key to reducing wait times and increasing revenue on BFCM. Relying on guesswork or reactive staffing measures will likely leave you with burned-out agents and unhappy customers (not to mention tanking CSAT and NPS).
Or, you may find yourself overstaffed and wasting valuable resources on excess headcount, offsetting any bfcm sales you make. Balancing these two extremes can only be done with a strong forecasting strategy.
If you’re unsure of where to start with your strategy, check out the battle-tested, three-step framework for customer service forecasting, the CEO of HelpFlow, Jon Tucker developed. He manages a 24/7 live chat and customer service team for over 100 brands with this strategy, so you know it’s good stuff! Here’s the Cliffnotes version:
To calculate your contact ratio, simply:

As a benchmark, HelpFlow usually sees a contact rate of 30-50% for stores that haven’t yet streamlined their customer service experience, and 20% for those with more optimized, automated processes.
Once you have your overall contact rate, the next step is to estimate how many orders you'll experience over BFCM. Your estimated order volume and your average contact rate are the two ingredients you need to calculate the estimated ticket volume.
To build a projection of order volume, look at your historical data for:
Once you forecast ticket volume, the next step is to determine how many team members you need to handle the volume.
Start by assessing the number of tickets each agent has the capacity for and then divide the number of forecasted ticket volumes by that number to determine how many agents you need for the holidays.
To calculate agent capacity per full-time agent:

Your agent capacity will vary significantly based on your business, agents, and customer service operation. For example, HelpFlow typically sees anywhere from 40 to 60 tickets per day per agent as a healthy benchmark. And, across Gorgias customers, we see an average of ~60 tickets per day per agent in healthy support organizations.
As a general rule, building in a buffer is a good idea, especially if this is your first year creating your forecasting strategy and there may be some variance in the numbers.
While hiring additional customer service agents might seem like an easy solution to the BFCM madness, the unfortunate reality is it’s hardly the time to ramp up new employees.
It’s better to first take a hard look at your existing processes and see where you can optimize for the team you already have, and/or outsource to seasoned pros. This will not only help you run your customer service more effectively but will also help you avoid excess headcount after the holidays.
After you’ve optimized your existing process, consider offering your current agents overtime pay rather than hiring unseasoned agents that would be in excess come January.
For example, if you typically have five agents working eight-hour days, offer an additional 90 minutes each day during the holidays at a holiday-exclusive overtime pay rate. By doing this you can add the equivalent of another full-time agent (i.e. 90 mins per day x 5 agents = 7.5h of workload per day).
Here are some tips from Tucker, to maximize the impact of team overtime:
Agent burnout is a real problem, especially since the pandemic, so be careful asking for too much overtime from your current agents. However, it can be a great short-term solution, especially if you have a healthy team culture. Just make sure you’re following any relevant HR rules and regulations — the penalties can be severe if you aren’t careful.

If the amount of overtime your team can work won’t bridge the gap in headcount needed during the holidays, it’s time to look externally for resources. But be forewarned, not all Business Process Outsourcing (BPO) or customer service outsourcing agencies are created equal.
“A great outsourcing agency or BPO should be providing advice to make your team more efficient, not just providing temporary agents,” says Tucker. “The net result of finding the right partner is not only the additional tickets from their agents but also the increased output from your existing team.”
Tucker said some of the best ways to find a great customer service vendor is to:
Imagine a customer is rushing to get a deal on that one item their kid really wanted for Christmas. They only get as far as the product page when they realize they’re not sure which model is compatible with their kid’s current tech setup though. So, they call your customer support line, but agents are slammed because it’s BFCM and the estimated wait time is over 20 minutes.
The customer, wanting to make sure they get this special gift while it’s still in stock, quickly searches Google for the specs. They land on the site of another retailer that has the product in stock at a comparable price. Better yet, before they even have a chance to try and find the information themselves, a friendly chat assistant welcomes them and asks if they need help finding anything.
The chat conversation quickly helps them determine what model they need and even sends them a direct link to the product page for it after just a brief dialogue. The customer, rather than shuffling through all their tabs to find the other retailer’s site, decide they might as well just purchase the item on the second site since they’re already on the exact product page they need.
This is what chat does best; they help customers while they’re in the flow of shopping. Wherever your customers are on the site, chat keeps all of the information right at their fingertips so they stay on-site and in the online shopping flow. According to recent studies, chat can boost conversion rates by as much as 12%!
With a tool like Gorgias, you can set up chat campaigns that target customers and automatically pop-up based on browsing behavior, pages visited, dwell time, and more. You can use these chat campaigns to offer real-time support, deal notifications, offer unique incentives, and more.

Learn more about how chat campaigns can help you improve the pre-sales customer experience and drive more sales during BFCM (and beyond).
If your BFCM strategy over-relies on expensive marketing ideas to win new customers, you’re missing out. Of course, acquiring customers is important — but their value is only truly realized if you can keep them around.
According to Gorgias data, repeat customers make up only 21% of the average brand’s customer base but generate 44% of that brand’s revenue because they shop more often and place higher-value orders.

The easiest way to cultivate customer retention beyond the holiday season is through great customer support. And, the best way to provide great customer support is by giving your customer service teams the tools they need to streamline operations.
Gorgias helps empowers your support teams to retain customers by:
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Looking for some customer support statistics to develop your business strategy for 2023? You’re in the right place.
Understanding customer expectations and their impacts on your business is a great way to improve your company’s customer service. For example, it can help you:
In this post, we’ve gathered tons of customer support statistics all in one place so you can understand the objective numbers behind the state of customer service as it stands now.
Technology has driven the evolution of ecommerce in many ways, and the same trend rings true when it comes to customer service. Some of the biggest takeaways from this data include:
Recommended reading: 8 Customer Service Trends for 2023
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Excellent customer service is becoming both more challenging and a bigger competitive advantage than ever before. To deliver on that, brands have to overcome the challenge of high-effort, disconnected experiences.
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The top 10 reasons customers reach out to (ecommerce) support teams (based on a Gorgias survey of 12,000 ecommerce sites) are:
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Customer service is increasingly important, and average response times are decreasing. Benchmarks are helpful to keep in mind to ensure you’re competitive, but it’s equally important to set your own benchmarks and compete against yourself.
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Want to get better at measuring your service? Check out our guide to customer service metrics.
Customer service impacts the bottom line, and customers are willing to share their experiences — good or bad. It also builds trust with shoppers, making them more eager to make a purchase and build a lasting relationship with your brand.
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Challenges with employee retention have led to reduced quality in terms of service standards. Brands with strong customer service training and strong, loyal service teams stand to gain a competitive advantage.
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Customers continue to expect more relevant messaging and promotion from brands, including personalized customer support. And their hesitations around data privacy and related technologies are waning, making them more open to sharing information to receive improved customer service interactions.
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Technology is key to delivering exceptional customer service experiences. The right tools, from helpdesks to live chat support apps, are essential to meeting today’s customer expectations.
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The number of communication channels customers can use to interact with brands (and vice a versa) is constantly increasing. This number is only going to grow, so brands need to understand not only how to leverage each customer service channel but also how to integrate all the touchpoints into a single synonymous customer experience.
Synergy across an omnichannel support experience is the new baseline for good service.
Artificial intelligence (AI) enables more self-service options, as well as automations. Effective use of support automation technology can boost efficiency and reduce resolution and response times.
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Anticipating future trends and advancements can help you stay ahead of the curve. Customer expectations will continue to rise, touchpoints will become increasingly complex, and AI will play a growing role in delivering top-notch service.
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Now that you know the latest customer experience statistics in 2023, check out our list of customer service best practices to put this knowledge into action and become a more customer-centric company to attract and retain loyal customers.
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