

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.
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 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:
You’ve chosen your AI tool and turned it on, hoping you won’t have to answer another WISMO question. But now you’re here. Why is AI going in circles? Why isn’t it answering simple questions? Why does it hand off every conversation to a human agent?
Conversational AI and chatbots thrive on proper training and data. Like any other team member on your customer support team, AI needs guidance. This includes knowledge documents, policies, brand voice guidelines, and escalation rules. So, if your AI has gone rogue, you may have skipped a step.
In this article, we’ll show you the top seven AI issues, why they happen, how to fix them, and the best practices for AI setup.
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AI can only be as accurate as the information you feed it. If your AI is confidently giving customers incorrect answers, it likely has a gap in its knowledge or a lack of guardrails.
Insufficient knowledge can cause AI to pull context from similar topics to create an answer, while the lack of guardrails gives it the green light to compose an answer, correct or not.
How to fix it:
This is one of the most frustrating customer service issues out there. Left unfixed, you risk losing 29% of customers.
If your AI is putting customers through a never-ending loop, it’s time to review your knowledge docs and escalation rules.
How to fix it:
It can be frustrating when AI can’t do the bare minimum, like automate WISMO tickets. This issue is likely due to missing knowledge or overly broad escalation rules.
How to fix it:
One in two customers still prefer talking to a human to an AI, according to Katana. Limiting them to AI-only support could risk a sale or their relationship.
The top live chat apps clearly display options to speak with AI or a human agent. If your tool doesn’t have this, refine your AI-to-human escalation rules.
How to fix it:
If your agents are asking customers to repeat themselves, you’ve already lost momentum. One of the fastest ways to break trust is by making someone explain their issue twice. This happens when AI escalates without passing the conversation history, customer profile, or even a summary of what’s already been attempted.
How to fix it:
Sure, conversational AI has near-perfect grammar, but if its tone is entirely different from your agents’, customers can be put off.
This mismatch usually comes from not settling on an official customer support tone of voice. AI might be pulling from marketing copy. Agents might be winging it. Either way, inconsistency breaks the flow.
How to fix it:
When AI is underperforming, the problem isn’t always the tool. Many teams launch AI without ever mapping out what it's actually supposed to do. So it tries to do everything (and fails), or it does nothing at all.
It’s important to remember that support automation isn’t “set it and forget it.” It needs to know its playing field and boundaries.
How to fix it:
AI should handle |
AI should escalate to a human |
|---|---|
Order tracking (“Where’s my package?”) |
Upset, frustrated, or emotional customers |
Return and refund policy questions |
Billing problems or refund exceptions |
Store hours, shipping rates, and FAQs |
Technical product or troubleshooting issues |
Simple product questions |
Complex or edge‑case product questions |
Password resets |
Multi‑part or multi‑issue requests |
Pre‑sale questions with clear, binary answers |
Anything where a wrong answer risks churn |
Once you’ve addressed the obvious issues, it’s important to build a setup that works reliably. These best practices will help your AI deliver consistently helpful support.
Start by deciding what AI should and shouldn’t handle. Let it take care of repetitive tasks like order tracking, return policies, and product questions. Anything complex or emotionally sensitive should go straight to your team.
Use examples from actual tickets and messages your team handles every day. Help center articles are a good start, but real interactions are what help AI learn how customers actually ask questions.
Create rules that tell your AI when to escalate. These might include customer frustration, low confidence in the answer, or specific phrases like “talk to a person.” The goal is to avoid infinite loops and to hand things off before the experience breaks down.
When a handoff happens, your agents should see everything the AI did. That includes the full conversation, relevant customer data, and any actions it has already attempted. This helps your team respond quickly and avoid repeating what the customer just went through.
An easy way to keep order history, customer data, and conversation history in one place is by using a conversational commerce tool like Gorgias.
A jarring shift in tone between AI and agent makes the experience feel disconnected. Align aspects such as formality, punctuation, and language style so the transition from AI to human feels natural.
Look at recent escalations each week. Identify where the AI struggled or handed off too early or too late. Use those insights to improve training, adjust boundaries, and strengthen your automation flows.
If your AI chatbot isn’t working the way you expected, it’s probably not because the technology is broken. It’s because it hasn’t been given the right rules.
When you set AI up with clear responsibilities, it becomes a powerful extension of your team.
Want to see what it looks like when AI is set up the right way?
Try Gorgias AI Agent. It’s conversational AI built with smart automation, clean escalations, and ecommerce data in its core — so your customers get faster answers and your agents stay focused.

TL;DR:
Rising customer expectations, shoppers willing to pay a premium for convenience, and a growing lack of trust in social media channels to make purchase decisions are making it more challenging to turn a profit.
In this emerging era, AI’s role is becoming not only more pronounced, but a necessity for brands who want to stay ahead. Tools like Gorgias Shopping Assistant can help drive measurable revenue while reducing support costs.
For example, a brand that specializes in premium outdoor apparel implemented Shopping Assistant and saw a 2.25% uplift in GMV and 29% uplift in average order volume (AOV).
But how, among competing priorities and expenses, do you convince leadership to implement it? We’ll show you.
Shoppers want on-demand help in real time that’s personalized across devices.
Shopping Assistant recalls a shopper’s browsing history, like what they have clicked, viewed, and added to their cart. This allows it to make more relevant suggestions that feel personal to each customer.
The AI ecommerce tools market was valued at $7.25 billion in 2024 and is expected to reach $21.55 billion by 2030.
Your competitors are using conversational AI to support, sell, and retain. Shopping Assistant satisfies that need, providing upsells and recommendations rooted in real shopper behavior.
Conversational AI has real revenue implications, impacting customer retention, average order value (AOV), conversion rates, and gross market value (GMV).
For example, a leading nutrition brand saw a GMV uplift of over 1%, an increase in AOV of over 16%, and a chat conversion rate of over 15% after implementing Shopping Assistant.
Overall, Shopping Assistant drives higher engagement and more revenue per visitor, sometimes surpassing 50% and 20%, respectively.

Shopping Assistant engages, personalizes, recommends, and converts. It provides proactive recommendations, smart upsells, dynamic discounts, and is highly personalized, all helping to guide shoppers to checkout.
After implementing Shopping Assistant, leading ecommerce brands saw real results:
Industry |
Primary Use Case |
GMV Uplift (%) |
AOV Uplift (%) |
Chat CVR (%) |
|---|---|---|---|---|
Home & interior decor 🖼️ |
Help shoppers coordinate furniture with existing pieces and color schemes. |
+1.17 |
+97.15 |
10.30 |
Outdoor apparel 🎿 |
In-depth explanations of technical features and confidence when purchasing premium, performance-driven products. |
+2.25 |
+29.41 |
6.88 |
Nutrition 🍎 |
Personalized guidance on supplement selection based on age, goals, and optimal timing. |
+1.09 |
+16.40 |
15.15 |
Health & wellness 💊 |
Comparing similar products and understanding functional differences to choose the best option. |
+1.08 |
+11.27 |
8.55 |
Home furnishings 🛋️ |
Help choose furniture sizes and styles appropriate for children and safety needs. |
+12.26 |
+10.19 |
1.12 |
Stuffed toys 🧸 |
Clear care instructions and support finding replacements after accidental product damage. |
+4.43 |
+9.87 |
3.62 |
Face & body care 💆♀️ |
Assistance finding the correct shade online, especially when previously purchased products are no longer available. |
+6.55 |
+1.02 |
5.29 |
Shopping Assistant drives uplift in chat conversion rate and makes successful upsell recommendations.
“It’s been awesome to see Shopping Assistant guide customers through our technical product range without any human input. It’s a much smoother journey for the shopper,” says Nathan Larner, Customer Experience Advisor for Arc’teryx.
For Arc’teryx, that smoother customer journey translated into sales. The brand saw a 75% increase in conversion rate (from 4% to 7%) and 3.7% of overall revenue influenced by Shopping Assistant.

Because it follows shoppers’ live journey during each session on your website, Shopping Assistant catches shoppers in the moment. It answers questions or concerns that might normally halt a purchase, gets strategic with discounting (based on rules you set), and upsells.
The overall ROI can be significant. For example, bareMinerals saw an 8.83x return on investment.
"The real-time Shopify integration was essential as we needed to ensure that product recommendations were relevant and displayed accurate inventory,” says Katia Komar, Sr. Manager of Ecommerce and Customer Service Operations, UK at bareMinerals.
“Avoiding customer frustration from out-of-stock recommendations was non-negotiable, especially in beauty, where shade availability is crucial to customer trust and satisfaction. This approach has led to increased CSAT on AI converted tickets."

Shopping Assistant can impact CSAT scores, response times, resolution rates, AOV, and GMV.
For Caitlyn Minimalist, those metrics were an 11.3% uplift in AOV, an 18% click through rate for product recommendations, and a 50% sales lift versus human-only chats.
"Shopping Assistant has become an intuitive extension of our team, offering product guidance that feels personal and intentional,” says Anthony Ponce, its Head of Customer Experience.

Support agents have limited time to assist customers as it is, so taking advantage of sales opportunities can be difficult. Shopping Assistant takes over that role, removing obstacles for purchase or clearing up the right choice among a stacked product catalog.
With a product that’s not yet mainstream in the US, TUSHY leverages Shopping Assistant for product education and clarification.
"Shopping Assistant has been a game-changer for our team, especially with the launch of our latest bidet models,” says Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY.
“Expanding our product catalog has given customers more choices than ever, which can overwhelm first-time buyers. Now, they’re increasingly looking to us for guidance on finding the right fit for their home and personal hygiene needs.”
The bidet brand saw 13x return on investment after implementation, a 15% increase in chat conversion rate, and a 2x higher conversion rate for AI conversations versus human ones.

Customer support metrics include:
Revenue metrics to track include:
Shopping Assistant connects to your ecommerce platform (like Shopify), and streamlines information between your helpdesk and order data. It’s also trained on your catalog and support history.
Allow your agents to focus on support and sell more by tackling questions that are getting in the way of sales.
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Building and promoting a Shopify store can be a grind. That's why more and more stores are looking for ways to boost their cred (and profitability) through brand marketing partnerships.
Teaming up with another brand to boost awareness and profits is nothing new. Everyone from Bonne Belle & Dr. Pepper to BMW & Louis Vuitton has joined marketing forces in the past—with epic results.
The good news is, you can use some of the past brand marketing partnerships to build your own partnership ideas for your Shopify store.
In this guide, we're going to walk you through six examples of successful brand marketing partnerships, and how you can replicate their success stories into your Shopify store.
Partnering up with another brand is one of the oldest marketing tricks in the book.
However, a lot of Shopify owners struggle to see how a partnership can work in eCommerce. The reality is, it's the message behind the partnership, and the way a campaign is built, that makes it successful—not the platform the products are being sold through.
The positives for partnering with another brand are endless. Firstly, your store builds up a strong partnership with another brand and boost your bottom line. And if the partnership is successful, it can make your store a more sought after choice for other stores wanting to partner up.
The big win of partnering up is, more often than not, one of the brands is a little less known than their partner. Not everyone will be willing to spend their hard-earned cash in an eCommerce store that hasn't built up its name yet. But partnering with a brand that's doing well in the eCommerce space? Yeah, that's going to drive traffic straight through your doors.
Not only will partnerships make you more reputable, but it can also decrease the risk for shoppers that are making a purchase on a new site for the very first time.
But other wins come out of successful brand marketing partnerships.
When it comes to marketing budgets, it's only natural that one partner will have a larger budget than the other. If you're joining up with another brand, the budget burden of marketing a new campaign or product is instantly halved.
But it's not just about chopping your marketing budget. Any influencers, bloggers, and high-level journalists that your partnering brand has relationships with can also be opened up to your store. Use them to your advantage.
Okay, so the advantage of being able to join budgets with a partnering store is a big one.
If you do decide to join forces with another store, you can pool money for a cash award or products for a bundled giveaway in exchange for a customer's email address.
The reward? You will be collecting a bunch of new email addresses for remarketing campaigns later, long after the partnership has run its course.
Whether the partnering store is selling similar products to yours or they're in a completely different field, combining brands means you can bring a ton of awareness to your brand through new audiences.
According to Gregory Pollack from MarketingProfs, the secret to a partnership's success and awareness relies on integration.
"Well-crafted partnership brand marketing should include every possible touchpoint that your business has with its customers—both traditional and non-traditional marketing, including the Internet, special events, advertising, promotions, public relations, packaging, merchandising, and a host of other marketing components," he writes.
"Marketing alliances don't just present an opportunity to create promotions; they also establish a base from which to create distribution opportunities, providing a great chance to leverage either geographic distribution or merchandising within a store."
Okay, so now you know why you should be partnering up with another brand. Let's look at how you can use past successful brand marketing partnerships to supercharge your own successful campaigns.
The popularity of the Apple Watch has been insane. The product has outsold every last one of the biggest names in the watch industry over the past two years:

In 2018 alone, Apple sold 22.5 million of its trademark watches. It makes sense, then, that fashion giant Hermès was keen to get a piece of the (Apple) pie.
The partnership between the two brands was first carved out in 2015. It proved so popular that Apple geared the release of the third Apple Watch around the new Hermès Apple collection.

It's a super smart collab. Not only has Apple been able to market the Hermès version of the watch at three times the regular sales price ($1400 a pop), it has also exposed their product to more fashion-conscious consumers.
Fashion Director Roseanne Morrison said the collab has proven a success for both brands.
"I think some of those collaborations have been good for both brands because it elevates some of these long-term heritage brands to a new level of technological synergy that can help them get younger customers," she said.
If you are struggling to crack into a new market, this type of campaign is perfect for getting consumers to look at your products in a whole new light.
Has a tech store caught your eye recently that you can see matching up with the quirkiness or edginess of your own store? Do you own an office supply store that is struggling to crack into the millennial market?
Reach out to a brand which is absolutely nailing the market you are trying to crack. See if they would be interested in building a product, or joining promotional efforts. Chances are, your potential partner is also struggling in the market that you're dominating.

Spotify and Hulu have recently decided to bundle up their products and offer them both at a discounted price.
The partnership works on a two-tiered system.
For the first 3 months, the user gets Hulu for $2.97. After that, they will get both services for $5 cheaper than if they were paying for both services separately.
It's super smart if people were already thinking about signing up for Hulu (it might be the push they need to sign up). And if a customer is already paying for both services separately, it will be saving them money.
It's also a win-win for Spotify and Hulu. Both brands are opened up to a different target audience, and a lot of consumers may be curious to give the products a try purely because of the low price tag.
These partnerships take a lot of work, but the benefits can be worth it.
Even if you aren't selling tech, you can still use this example in your own store. Pair up with another Shopify store, and ask them if they would be willing to bundle some products with yours for a discount.
The best way to do this would be to run a promotional campaign that boosts both brands. Try selling the product bundles on a separate landing page, so you're able to track and measure their success effectively.
Everybody loves free samples.
The key to making sure you aren't throwing away money with free samples is partnering up with a store that aligns with your target market.
It was this formula that drove the partnership between HDX Hydration and Clean Bottle.

HDX Hydration sells clean, healthy hydration mixes for bottled water. They were only just starting out in their Shopify journey when they approached Clean Bottle to collaborate.
HDX Hydration knew they had to crack their target market to succeed. By teaming up with a company that produced easy-to-clean water bottles, they quickly narrowed in on their target market.
The company approached Clean Bottle and asked them to ship free samples of their product with their purchases. This ensured that their freebies were landing in the hands of customers that were already qualified for their product.
Team up with a company that could include your free samples in their shipments. Or go one step further, and offer to include their free samples in your shipments as well.
By having a minimum spend, your partner will also increase their profits on their sales. The allure of a free gift is sometimes all it takes to push the customer to spend more.
There is a reason so many brands team up with a charity. Consumers love to feel like they're helping out society when they make a purchase.
BuzzFeed recently teamed up with Best Friends Animal Society to boost pet adoption numbers.
The idea was simple. The animal charity would tap into BuzzFeed's 200M+ readership, and BuzzFeed would publish an article called, "We Interviewed Emma Watson While She Played With Kittens And It Was Absolutely Adorable."

Obviously, not everyone has a massive readership like BuzzFeed, but the idea is used by charity groups everywhere. Pair up with a company, and consumers will feel better making purchases when they know their money is going to charity.
Pair with up a charity for social cred. Studies show that consumers are more responsive when there is a single charity involved, so approaching one and inviting them to partner up is enough.
Pick a charity that will align with your brand. A 2015 study by the Huffington Post found 92% of companies said brand alignment is the single most crucial factor when selecting a charitable partner, so choose wisely.
For example, if your store sells organic candles, then a charity that helps with environmental causes would be a better fit than a charity that helps with cancer research. Apps like Easy Donation can be customized to include your chosen charity at your checkout.

Making it easier for a customer to donate can be crucial to the success of the partnership and the amount of money you end up raising for them.
Who remembers when Alexander Wang partnered up with H&M? Yeah, it was weird. But it worked.
While H&M is known for their bargain purchases, an entry-level Alexander Wang product can cost hundreds of dollars. The collab seems like an unlikely partnership—until you strip it back to find out what each brand gained from it.

While H&M were able to boost their status as a credible and fashionable brand through the partnership, Wang was also exposed to a new target audience. Customers that might not have thought about high-end fashion before were suddenly being exposed to it in their typical purchasing environment.
The success of the collaboration isn't a one-off. Karl Lagerfeld, Stella McCartney, and Balmain have also had successful partnerships with the clothing shop.
If you're selling up-market items of any description, you're already limiting your market to those with expensive taste.
Think about stores that share a similar style, but offer products at a completely different price point. Reach out and ask if they would be willing to run a cross-collaboration, where you each featured your products on each other's sites for a month.
JCPenney ran a similar campaign recently with brand Sephora. They included a link to the brand in their top navigation, that allowed customers to shop from the Sephora collection directly on JCPenney.

This allows for one-stop shopping and is ideal if you're collaborating with another store but want to retain traffic.
Better yet, you could connect with a brick and mortar store that doesn't have an online presence. Offer to sell their products on your site for exposure, and in return, ask them to give coupon codes to every customer that makes a purchase in their store.
Makeup and… Star Wars? It happened.
In 2015, LucasFilms paired up with CoverGirl to create Light and Dark Side makeup lines to win over a younger, female audience.

The partnership meant both brands were given extensive press coverage during the lead up to the film's premiere. And it paid off. 8 weeks of high impact Primetime TV promoting and micro-targeting resulted in a 725% boost in retailer sell-in, and the campaign became the #1 trending topic on Facebook.
It's not the first time CoverGirl had paired up with a film. In 2013, they teamed up with The Hunger Games in a similar campaign that resulted in a 400% sales increase for CoverGirl.
This campaign should be mirrored by stores who are already successful and are looking to open up new target markets. If you are just starting out, try a less-risky partnership from one of the other ideas on our list.
If you're up for it—think outside the box. Reach out to a store that you would never think of partnering up with.
If you own a clothing store, why not try collaborating with a fellow pet supply store? As of now, 70% of all U.S. households now own a pet, and the market was valued at $72.1 billion in the U.S. alone last year. It's statistics like this that prove thinking outside the box could be worth its while when it comes to brand partnerships.
There are a ton of reasons why brands enter into partnerships (and you may be wondering why you haven't tried it before now).
Using another brand can boost your credit and your marketing capabilities. Plus, brand collaborations also offer your store a unique way to expose your brand to an entirely new target audience.
But partnerships aren't easy. To make brand collaborations work, you need to pick the right partner, and put in the groundwork. Use famous collabs (that have worked) from the past to brainstorm ideas about how you could partner up with another brand, and don't be afraid to think outside the box when you're approaching brands to join forces with. Sometimes, the most unlikely brand marketing partnerships turn out to be the most successful.

Shopify Plus has a ton of features that make them stand out from other e-Commerce platforms. One of the main differences between Shopify vs Shopify Plus is the open app marketplace for standard users and the Shopify Plus technology partner program. And, successful store owners know you should always hire a Shopify expert over a run of the mill agency.
That’s why the partner program is so helpful. So, what exactly makes these certified technology and service partners stand out from the rest? Read on to find out.
Anyone running an online store has heard of Shopify, and high-volume sellers have explored the Shopify Plus platform. And, when thinking of making the switch, it’s important to know what help is available.
The standard Shopify platform has other types of partners such as affiliates and developers.
The Shopify Plus partner program, first launched in 2016, is a directory of hand-selected technologies and services that have been vetted by the platform itself.
Partners are proven to have expert e-commerce and platform experience, so they can be trusted by any Shopify Plus merchant.
Both technology and service partners have access to an exclusive resource database to help them grow with the Plus platform and continually provide better service to their users. The community works together as a team, collaborating to create a Shopify Plus partner ecosystem; this gives merchants access to a holistic growth platform rather than standalone services and software options.
Access to Shopify Plus Partners is one of the biggest merchant benefits of upgrading to Shopify Plus.
Not on Shopify Plus? Check out our review (or our comparison with the standard Shopify plan) to help make your decision.
Anyone who wants to become a Shopify Plus partner goes through a rigorous screening process. Applications are taken seriously and only top agencies and software solutions are chosen.
Currently, Shopify Plus has 65 technology partners and 127 service partners (51 agencies and 76 solutions). Like the platform itself, the partner program is an exclusive community. While these numbers are likely to grow with the platform, they probably won’t scale as quickly as the standard Shopify options because of what it takes to get in.
With a standard plan, you have access to nearly any Shopify app you can think of. With a Plus plan, the platform recommends and enables easy integration with only the best e-commerce software.
Technology partners give merchants seamless integrations with popular tech:
Accessibility to these options helps online store owners accelerate growth through the use of advanced software.
26 different types of e-commerce software are available from technology partners in the Shopify Plus partner program. Everything from affiliate marketing to POS and warehouse management can be enhanced with an app. 11 of these options work with the Shopify Flow app, which turns tasks into automation.
Not all Shopify Plus apps are yet compatible with the Flow interface, but those that are stand out from the rest. Take a look at compatible apps in the Shopify Plus partner technology section to see what they can do for your online sales operations.
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Image source: dotdigital
The Engagement Cloud by dotdigital can help you build committed, enduring relationships with your customers. Connect with and empower your shoppers with a suite of tools including email, mobile, social, and advertising. Implement automation, segmentation, and rich customer profiles.
In a nutshell, this is an advanced customer relationship management (CRM) platform to integrate with your Shopify store. It collects, stores, and analyzes data about your customers to help you make the most informed shopper interaction decisions.
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Use Gorgias, the complete Shopify helpdesk, to help your customer service representatives view all of your messaging platforms from one location. Your reps can edit customer orders without leaving the app. And, you can automate answers to simple, frequently asked questions, freeing up time for your team to focus on answering more complex queries.
Trust a top rated solution to provide your shoppers and customers with the best possible service experience of your e-commerce brand.
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Image source: Klaviyo
One of the most full-featured e-commerce email marketing campaign platforms is available on Shopify Plus with Flow integration. Klaviyo makes your email campaigns more intelligent and effective through powerful segmentation, detailed analytics, and informative reports.
This platform shines brightly in a sea of fierce competition because it has everything you need to create, implement, automate, and analyze your email marketing efforts with the least amount of work. Users are satisfied and it’s made the cut.
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Image source: Listrak
Listrak is a customer data empowered digital marketing cloud that promises to deliver results. From a 360-degree customer profile to customer insights, AI personalization, and conversion rate optimization (CRO), this platform will help you orchestrate all of your cross channel marketing promotions.
Compared to other similar platforms, Listrak users have three times higher engagement, six times higher revenue, and two times higher conversion. Overall, it is a trusted solution to bring your marketing efforts to the next level.
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Image Source: LoyaltyLion
Loyalty Lion knows that an online merchant’s future success depends entirely on its existing customers. So, they deliver a solution for web retail store owners to create data-fueled loyalty programs as unique as their brand. This app is proven to help businesses increase customer retention and sales.
In addition, it’s trusted as a solution for thousands of e-commerce companies worldwide. It enables top-of-the-line rewards programs that can award a specified amount of points for any action taken on the connected website and more.
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Image source: Nosto
Nosto helps you personalize the customer experience you deliver. It collects data to analyze shoppers’ omnichannel behaviors and purchases. The world’s leading digital commerce AI can give your website visitors targeted, personalized recommendations based on what trends it recognizes in their behavior.
Top machine engineers, data scientists, and PHDs have been working for the past seven years to continually improve the patented technology. If you want to inspire your customers, this app is well worth looking into.
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Image Source: Bronto
Leading the way in e-commerce email marketing, Bronto by Oracle integrates seamlessly with Shopify Plus. The API is versatile with many tools to help you deliver optimized campaigns. You can store customer data and purchase information in the existing CRM, or integrate it with another. Create personalized email campaigns that you can send at the right time, to the right shoppers.
Automation is handled through an easy-to-use drag and drop interface, so most merchants aren’t overloaded with the frustration of learning new, complicated technology.
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Image source: Smile
Smile.io is the solution that can help you turn first-time shoppers into lifetime buyers. The app is reward program management made easy. You can design a program your way, then make changes instantly, in real time. Using the system will negate the need for your IT or dev team to work on your promotions by simplifying the processes.
You can view your program member details to see what actions users have taken and see their points balances and other information. A simple reporting dashboard will help you see important customer data that can help influence better future campaigns.
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Image source: Swell
Another great reward platform management platform (created by Yotpo) on the Shopify Plus technology partner program is Swell. Using this app, you can create tailored customer experiences using multiple campaign options. Maximize engagement and enhance your brand with 15 out-of-the-box campaigns that will drive high-value purchase behaviors.
The flexible program logic includes granular campaign settings that enable you to customize your program to your own specific goals. Using the VIP tiers, you can encourage your customers to take actions that drive them up the ladder for higher reward benefits.
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Image source: Tapcart
Tapcart will help you retain customers by creating your own aesthetically appealing mobile app. Sync it with your store and experience eight times more sales from customers who download and use your app. Nurture more customer loyalty, improve your buyer retention, and boast about your newfound 26-second average checkout time.
The beauty is that you can design and update your app from anywhere, including your mobile phone. So, change your colors and fonts and upload new content on the go. Leverage built-in oush notifications to get your customers back after shopping. Tapcart integrates with many other e-commerce apps available with Shopify Plus.
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Image source: Yotpo
Leverage a full-suite e-commerce solution to create more happy customers and drive more online sales.
You can use Yotpo to showcase user-generated content (UGC) across your website, easily collect reviews, and display your visual content with reviews to optimize your brand image. In addition, you can Q&A for more detailed product descriptions.
Use your UGC across multiple marketing channels and build loyalty programs that encourage repeat purchases.
Related: Our list of the best Shopify apps on the market.
Shopify Plus service partners are the best of the best agencies and solutions for e-commerce business services. Those who leverage them know they are the smartest options for building their brand.
Service partners work in a wide range of fields.
Expert agency knowledge assures high-volume sellers the most robust strategies, including customer service, increasing their likelihood of success. Service partners are likely to understand the tools available from technology partners, so they open highly-targeted, specialized doors for online store owners.
According to the service partners page on the Shopify Plus website, Between the 127 service partners recommended by Shopify Plus, there are solutions and agencies in 40 countries and 22 industries providing 19 different services.
Furniture retailers and others have been using this technology to deliver three-dimensional image representations of what their products will look like in the customer’s home. Work with agencies and solutions that already know your audience and best practices.
Your digital store is no different. Getting an expert to help you will improve your reputation and brand recognition because you will become more inclusive.
You can even use the platform to track, analyze, and report on how well your automation helps your bottom line. Doing so informs your future automation strategy. You should select a service that understands your needs.
Your brand identity is your story, and it’s why people choose to purchase from you or click away forever. Shopify Plus’ partner brand services work with companies like you every day and know what it takes to tell a tale of success.
So, you need to have someone analyze your business plan, from time to time, helping you make adjustments where they are needed. Choose someone you can trust from the Shopify Plus partner program directory.
One of the best ways to make sure your content is helping you drive sales is to hire an expert. Choose a vetted partner to give yourself the highest chance for success and rest easy knowing you’re making the right moves.
Your service provider should see what creates success and what causes failure daily. Use the partner of your choice to ensure the highest chance of increased ROI from your digital marketing efforts.
If they’re in the partner program, you can rely on them to live up to their word, otherwise, they wouldn’t be there.
And, if you implement your ideas with best practices in mind, you’re most likely to see increased sales and profits with your online store. Make the most of your exports and new stores with someone who knows exactly what to do and has proven their expertise.
Find a consultant who works on a daily basis with brands like yours to shine on the Shopify Plus platform. If you get this right, your sales could start to increase faster than you think.
Furthermore, not everyone knows the ropes of the inside of Shopify Plus’ e-commerce platform. Since the partner service developers have undergone rigorous scrutiny before being able to join, you are most likely to find a solution with one of them.
So, find an integration specialist from a trusted source to make the most of your Shopify Plus store operations. Make sure the tools you use are compatible with one another to avoid customer-end hiccups that could destroy your sales.
Your market is completely different than someone in retail, so get help with your strategy from someone who knows your audience well. Choose a wholesale specialist to consult with about your operations.
Probably, yes. So, make sure you’re getting the right person by looking in Shopify Plus partner directory first.
Are you ready to grow your Shopify store, or looking to upgrade to Shopify Plus? Learning about the partner options available with the platform will help you make an informed decision. And, there’s more where that came from. Subscribe to the Gorgias newsletter to receive more industry knowledge to help you make the right e-commerce decisions.

Without a doubt, Shopify is one of the most popular e-commerce platforms. Entrepreneur magazine ranks it as one of the Top 6 Ecommerce Platforms for Small Businesses. And Inc. Magazine ranks Shopify in their list of Top Seven E-Commerce Platforms. What’s more, Market Watch calls Shopify “the leading multi-channel commerce platform”.
Headquartered in Ottawa, Ontario, Shopify is an e-commerce platform for both online stores and retail POS (point-of-sale) systems. Shopify describes itself as “One platform with all the ecommerce and point of sale features you need to start, run, and grow your business.”
According to Shopify, more than 800,000 businesses in 175 countries use its e-commerce platform. For the calendar year 2018, the platform’s total gross merchandise volume exceeded $41.1 billion. In a recent earnings forecast, Shopify expects 2019 revenue to be between $1.48 billion and $1.50 billion.
Out of the box, Shopify offers a low threshold for entry and is easy to set up and use. Shopify offers several basic plans and pricing models for a variety of business types and sizes. Their entry pricing model serves as an excellent example for current and future startups to emulate.
However, for more robust businesses and existing enterprises looking to migrate to a new e-commerce platform, there is Shopify Plus. Launched in 2014 the Plus option is geared towards enterprise level businesses. As a result, it is more robust. In this article, we’ll explore Shopify Plus, look at Shopify Plus pricing, and compare it to a few other e-commerce platforms.

While Shopify is adequate for your average e-commerce outfit, larger enterprises have more extensive c-commerce needs. Consequently, these companies need better-than-average solutions. As a result, many flagship brands, including Kylie Jenner, Red Bull, and others, use Shopify Plus.
Even though all of Shopify’s options (including Shopify Plus) use the same dashboard, editor, and help center, Shopify Plus offers these enterprise-level companies much more functionality than any of Shopify’s other plans.
For example, Shopify Plus comes with unlimited staff accounts along with personalized help and support. On top of that, it can handle over 10,000 transactions per minute. This means that large-volume retailers don’t need to worry about whether their site will crash. Marketing educator, consultant, and SEO specialist Nate Shivar lists a several of Shopify Plus’ other main advantages.
All of these features make Shopify Plus an ideal option for launching an e-commerce site or adding e-commerce options to existing sites.
Check out our in-depth post of the benefits of Shopify Plus for more information.
As stated above, the Shopify Plus annual licensing fee starts at $2,000 per month. So you could plan on spending at least $24,000 per year on the license alone. In addition, you will spend an extra percentage depending on your revenue. Since Shopify Plus bases pricing on usage and sales volume, the license cost increases when you exceed $800k in a month.
On top of the basis licensing fee, Shopify Plus also has a fee structure based on revenues. This is the actual pricing of the platform. There is a ceiling to this pricing — the maximum license fee is $40,000 monthly. For example, according to Shopify Plus pricing, a $1,000,000 per month company pays $2,500 in monthly licensing fees. In order for that same merchant to pay the maximum $40,000 monthly license fee, they would need to reach $16 million in monthly sales.
So what does $2,000 a month buy you on the Shopify Plus platform? This monthly license covers a number of services, including:
Overall, the Shopify Plus pricing structure is competitive. Especially considering that this cost includes hosting. Specifically, this pricing positions the platform on the lower end for enterprise-level e-commerce solutions.
But what if you already have an e-commerce presence? Can you migrate to Shopify Plus? The short answer is ‘Yes’. If your business already has an online store, but have thought of switching to a new platform, then this Shopify Plus pricing guide is perfect for you. This guide won’t dive into the technicalities of migration, but it will mainly focus on options and pricing.
An increasing number of retailers have chosen to move to Shopify Plus including MVMT, Gymshark, Hawkers, puravida, and Emma Bridgewater. Of course the Shopify Plus website touts all the platform’s features, benefits, and perks. However, Shopify does not explicitly list the cost of migrating your site from your current e-commerce platform to Shopify Plus.
In general, the lack or standard pricing for moving your site to Shopify Plus is mainly because each business is unique. Specifically, Shopify Plus asks you to contact them, so they can walk you through the process, plans, and pricing. This makes sense, especially considering that your specific Shopify Plus pricing depends on several factors including scale, revenue, traffic, and others.
Although Shopify doesn’t outline the side costs of migration, at the same time, there are some sample prices from third-parties that serve as solid guidelines. Based on a hypothetical mid-level Shopify Plus project, we’ve outlined some more specific pricing for a mid-level enterprise’s first year of using Shopify Plus. Overall, a mid-level user could expect to spend between $130,200 and $270,200 during their first year with Shopify Plus. Below is a cost breakdown:
Shopify Plus has a great deal of functionality. At the same time, third-party apps boost and extend its capacity even further. These apps meet needs like enhanced SEO tools, enterprise-level functionality, and enhanced site personalization. As a result, when talking about Shopify Plus pricing, be aware that you’ll need to spend money on additional apps for improved functionality of your e-commerce site.
In general, the norm for Shopify Plus third-party apps to pay a monthly licensing fee. One of the great benefits of this pricing model is the low cost of entry. Yet at the same time, paying a monthly fee for numerous apps tends to add up. If you are accustomed to Magento, which generally offers one-off license fees for apps, this will require an adjustment to your budgeting.
So even though you’ll spend less money up front, your total monthly costs for Shopify Plus apps may be more than you’re accustomed to. What’s more, apps have different monthly costs — licensing fees for Shopify Plus apps range from $50 to $500 each. However, one major benefit of monthly app licenses is that if you don’t like an app or find you don’t need it, you simply stop using it and find another app.
Be aware that if your business requires a specialized, custom-made app, then you’ll pay a premium for it. For example, development firms tend to charge $90 to $175 per hour for built-from-scratch apps. So the actual cost of the app will depend on its complexity, function, and size.
Related: Our list of the best Shopify apps for ecommerce merchants.
Regarding site design and build, Shopify Plus does offer templates you to purchase. Yet if you choose a template, you’ll inevitably want to personalize it to differentiate your site from all the other e-commerce sites out there. This means you’ll pay for personalization, either in the form of a tailor-made site or a heavily-modified template.
Whether you do this design and build work in-house or contract with a design firm or a freelancer, it is important to factor in this cost. Depending on your needs, the estimated cost for this service might range between $75,000 and $100,000 (or more). And of course, the actual cost hinges on the complexity of your site and your business’ specific needs. Larger merchants with more complex needs will spend considerably more during the design and build process.
When migrating your site to Shopify Plus, make sure you work with a firm or freelancer who specializes in this platform. Overall, the firm you choose should be both creative and practical. This means they should deliver a unique, attractive, user-friendly site which also delivers exceptional functionality on every level.
Because of this, finding the right agency to build your site is key to success. Consider working with a Shopify Plus Technology partner to ensure you get the build possible.
On top of the licensing fees, every merchant pays payment processing costs to a payment processor. This is true whether you use Shopify Payments or third-party processor. At the same time, you might find lower charges by using a third-party payment processor. In addition, be aware that Shopify does charge a 0.15% fee if you use a third-party payment provider.
How does Shopify Plus pricing stack up to other e-commerce platforms? Below we examine a few of the most popular platforms and compare them to Shopify Plus:

When talking about Shopify Plus, it’s helpful to introduce regular Shopify. With this plan, you get a 14-day free trial period without any up-front setup fees. Simply you can jump in and set up your store while you decide which pricing plan best fits your needs. There are three monthly pricing options:
Each of these plans comes with different options and levels of service for your business. All three come with an online store, sales channels, 24/7 customer support, unlimited products, the Shopify POS app, and other features. Yet, as you can imagine, the more you pay, the more options you get for your business.
For example, the Basic plan includes 2 Staff Accounts while the Shopify and Advanced Shopify include 5 and 15 Staff Accounts respectively. In addition, Advanced Shopify has exclusive features like an Advanced Report Builder and Third-party Calculated Shipping Rates. However, Shopify Plus definitely has even more to offer.
Read our in-depth comparison of Shopify and Shopify Plus.

First released in 2008 by Varien, Inc, Magento is an open-source platform. Written in PHP, Varien originally developed this e-commerce software with the help of volunteers. Varien released the first general-availability version of Magento on March 31, 2008. After changing hands a couple of times, Adobe later acquired the platform. On November 17, 2015, Magento 2.0 was released.
Overall, Shopify Plus is less expensive than Magento 2 Commerce. According to Ecommerce Guide:
The ‘Total Cost of Ownership’ of a website built on Shopify Plus tends to be cheaper than a site built on Magento 2 Commerce.
The site also suggests that this lower cost makes Shopify Plus a better option for businesses that are currently at lower revenue levels. The article also details a few other costs comparisons between Shopify Plus and Magento:
At the end of the day, Shopify Plus is generally less expensive than Magento 2 Commerce. At the same time it depends on your business’ specific needs.

For small to large-sized online merchants that use WordPress, WooCommerce is a popular open-source e-commerce plugin. Designed specifically for WordPress, it launched September 27, 2011. The fact that the plugin is free (the base product) easy install makes it an attractive to businesses of a certain size.
In a comparison article, Simon Gondeck puts Shopify Plus up against Woo Commerce. He bases his comparison on several factors. Gondeck uses the example of a lower mid-market ecommerce business making between $1 million and $10 million in annual sales.
For a Shopify Plus site, he estimates the build cost (design and development) to be around $30,000. The monthly license fee is $2,000 per month, but Gondeck adds an estimated $2,000 per month for ‘developer maintenance costs’. At the end of the first year, he estimates the cost for a Shopify Plus site to be about $78,000. However, once the site is fully developed, the second year cost would drop to an estimated $48,000 per year.
For WooCommerce, Gondeck estimates the build cost to be about the same as Shopify Plus (around $30,000). However, he believes WooCommerce has lower month to month maintenance fees and costs. Although the developer maintenance costs are similar (about $2,000 per month), the monthly license fee (which includes the domain and hosting costs) is only about $200 per month. With all the costs totaled up, WooCommerce comes in at around $55,200 for the first year with an ongoing annual cost of about $26,400 per year.
Yet in the end, Shopify Plus pricing comes out slightly higher than WooCommerce in a head-to-head comparison. Gondeck recommends Shopify Plus for its simplicity and ease of use out of the box. He specifically recommends this e-commerce platform “for larger businesses with no current ecommerce presence.”

Founded in 2009, BigCommerce develops e-commerce software for businesses. According to the company, the BigCommerce platform has processed $16 billion in total sales.
Like Shopify, BigCommerce has also launched an enterprise-level platform, BigCommerce Enterprise. Launched in May 2015, the platform was designed to accommodate high-volume retailers. And like Shopify Plus, BigCommerce also hosts some big name brands such as Skullcandy and Ford. So how does Shopify Plus pricing compare to BigCommerce Enterprise?
As we’ve already said a couple of times, Shopify Plus pricing starts at $2,000 per month with increases based on your sales volume. Also, Shopify Plus has no hosting fees, support fees, or monthly maintenance costs. In contrast, BigCommerce Enterprise’ pricing various greatly. Like Shopify Plus, BigCommerce doesn’t explicitly list prices for the Enterprise platform. However, according to WebMakeWebsites, you can get a basic plan for around $400 per month.
However, Nate Shivar puts the BigCommerce Enterprise’s monthly price at around $1,000. Yet, depending on your business’ capacity and needs, the high end of the monthly fee can add up to $15,000 per month. In the end, Paul Rogers states:
The pricing of Shopify Plus and BigCommerce generally comes out very similar — the licensing is comparable (with BigCommerce Enterprise being based on order volume and Shopify Plus being a GMV model with a minimum fee) and build costs are generally in the $75k – $200k bracket for both, in my experience. Shopify Plus does have some additional charges if you choose to use an external payment provider, but this is relatively low (0.25%).
Like Shopify Plus pricing, your actual BigCommerce pricing monthly depends on your sales, traffic, and other factors.
Without a doubt, Shopify is one of the top e-commerce platforms available today. And with Shopify Plus, enterprise-level businesses benefit from exceptional functionality to meet all their e-commerce needs. Compared to popular platforms like Magento, WooCommerce, and BigCommerce, Shopify Plus is a great platform for new e-commerce sites or for companies looking to migrate to a more robust platform. So whether you’re already at the enterprise level or you have plans to scale up to the next level like Campus Protein, Shopify Plus is certainly one of your best e-commerce options.
Still on the fence? Read our in-depth review of Shopify Plus.
Gorgias is a customer support helpdesk providing flawless customer service for Shopify stores. Currently, we partner with over 1,000 merchants and our Starter plan is only $10/month. Get started for free or schedule a demo today! Or Contact Us Today to learn more about what we can do for your Shopify site.

In, The State of the Ecommerce Customer Service Industry Report for 2019, we found that a surprising 79% of respondents do not know the cost of a support ticket on the company.
This is quite scary, as this metric helps define the overall profitability of the product, and set reinvestment schedules for the growth of your company.
If costs overtake margin, you lose money with every sale.
While the Gorgias mission is to turn customer service from a cost center into a revenue generator, we do need to acknowledge the raw costs of customer support in order to bake it into our calculation of margin.
What metrics are we going to cover:
Why should you track these metric?
Now, let’s get into it…
Here’s the data you need to collect:
Total cost of customer service. This includes technology, employees, managers, office space, equipment, travel… Everything. This should be easy to calculate if your accounting department is doing their job; they should be able to just hand you over a number. A monthly breakdown of the trailing 12 months is best.
Tickets per month. This can be found in your Gorgias dashboard under “Statistics.
Be sure to set the dates to match appropriately:

Now that we have these two numbers, we can get an understanding of our cost per support ticket.
Simply divide: In this example, we’ve got 1651 tickets in December. We spent ~$4500 on customer service. Therefore each ticket costs us $2.73.
Knowing your average cost per ticket helps you understand the time and value behind resolving customer inquiries. If this number goes up, then you’re inquiries are getting more complex - its either taking more time or more people to answer the same number of questions.
If you ever see this number spike, it’s likely due to a flaw in your product design. Immediately begin looking for commonalities among tickets, inspecting your inventory, and trying to get to the root of the problem before you make even more customers unhappy.
Next up, you need to know your support cost per order, in order to bake customer support into your margin.
Here’s the data you need to collect:
To find this, simply log in to your Shopify dashboard, go to Orders, and add in a couple filters:

You can then “select all” and it will tell you the count of orders. For additional accuracy, you may want completed orders, not including refunds or other issues.
For our example month, we placed 2621 orders. That gives us a cost per order of $1.73
According to our Ecommerce Customer Service data, we estimate that small stores will see 88 support tickets per 100 orders, or roughly 1.1 support tickets for every $100 in revenue.
While large stores, with over $500k revenue/month, will see only 56 support tickets per month and .4 support tickets per every $100 in revenue.
How does your support cost per order compare with these benchmarks? Let us know in the comments below.
Sometimes it's helpful to calculate your cost per revenue as well, which is simply grabbing your net sales number from Shopify and dividing by tickets.
Data you need to collect:
Revenue.
You were previously calculating your margin without including the cost of support…
Even though support drives customer satisfaction, retention, and, in some cases, sales, it also has a clear impact on margin.
How does this new metric affect your COGS? Your margin?
If your average order value is $50, with a $13 margin, you now have only a $11.27 margin.
How does that affect your advertising objectives?
How does it affect your ability to invest into product research?
What can you do to improve your cost per order?
A lot. Mostly, this is called: ticket mitigation.
Here’s some of the more common opportunities:
When you hire a new support agent, or manager, you will see your costs go up.
This is the nature of business: you’re investing in a new hire with the expectation that there will be more demand for them to fulfil.
You’re job, as an operations manager, head of Ecommerce, or COO, is to make sure those costs don’t get out of control while you look to scale your business.
Figure out what margins are acceptable to you and invest in growth cautiously. We’ve seen all too many companies fail because they oversupply and hit stretches of low demand.
That being said, if the business has healthy cashflow, and reasonable growth, I’d invest more in customer service before upping my ad budget.
It takes time to onboard new agents, and if you don’t have someone matching that demand, you’re creating unhappy customers, which is a surefire way to eat your margins even faster.

By Ross Beyeler, Founder and CEO of Growth Spark
Often, a support team answers the same questions over and over…
Or issues returns repeatedly for reasons that could be addressed internally…
Maybe the sizing isn’t well represented, the fulfillment house has mixed up SKUs, or your product images aren’t clear or detailed enough.
If you can lighten the load for your customer support team, you can save significant time and costs, while at the same time improving the buying experience for your customers.
The goals here are to:
The key is to address your customers questions and issues before they ask your support team. Here's how you do that:
91% of shoppers would gladly try to answer their own questions first using an online knowledge base or FAQ page before reaching out to a customer service team, according to a survey by Coleman Parkes for Amdocs.
This means that your FAQ page is a huge opportunity to answer your customers’ most common questions and issues so they don’t need to reach out to customer support.
FAQ information typically falls into one of two distinct buckets: product-specific and buying process.
Product Specific: Common questions about individual products may be better off addressed on the product pages rather than in a broad FAQ page. You may need to provide clearer or more comprehensive product descriptions, or consider more or better photography to clear up common product questions.
Buying Process: Questions about shipping, returns, policies, and other operational topics are best addressed in a single easy-to-find page like an FAQ.
When is the last time you cross-checked the content of your FAQ page with the data from your customer support team?
There are many customer support tools like Gorgias that will make it easy for you to track the reasons behind why users submit a ticket.
Once you begin tracking the topic, or tag, of your questions, you can easily identify the questions that top the list, and permanently add the responses to the FAQ.
Bonus points: Prioritize the FAQ page based on the frequency of each customer service inquiry so that the most relevant answers are closer to the top.
Your next step is to set up a monthly meeting with your head of customer service to review the feedback coming in from your customers and ask yourself:
Remember, an FAQ page is:
For more on FAQ pages, check out this Shopify article.
Now that you have your FAQ page squared away, be sure to track visitors to the page and note any changes in volume, and look for changes in your support ticket volume around those related questions.
Remember: You should never answer a support ticket only by referencing your FAQ page. Always include the information they are asking for directly within your response. After that, let the customer know that there is an FAQ page for more information, to avoid future tickets.
Have you watched actual customers explore your online store to see where they stumble?
Customer behavior tools like Hotjar make it easy to review how customers navigate your website. One way that customer behavior analysis tools can help you understand exactly how your customers are using your site is with heat maps.
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A heat map is a visual representation of the most popular (hot) and unpopular (cold) elements of a website page. They can give you an at-a-glance understanding of how people interact with individual website pages. Elements that get the most views and interaction are shown in red, so you can immediately spot what your users are clicking on. Those that most people tend to ignore appear in blue.
Once you know which parts of your website are most (and least) useful to shoppers, you can tweak those elements to make the on-site experience easier to use.
Customer behavior data can inform on-site improvements, such as:
It may require some A/B testing to ensure your changes deliver results.
According to a recent Shopify post, during the holiday season, Ecommerce returns surge to 30 percent (or as high as 50 percent for “expensive” products).
Return deliveries are estimated to exceed $550 billion by 2020 in the U.S. alone.
Many of those returns are probably associated with a customer support ticket - whether customers are asking questions about the product they received, or need help processing their return.
Anything you can do to reduce the number of returns - and the number of customer support requests associated with them - can mean a huge boost for your bottom line.
So, what causes returns?
Returns can often be traced back to a disconnect between customer expectations and the reality of the product once they receive it. It may be that:
All of these problems (and more) can be prevented in advance with improvements to your website content.
While fit can be a difficult factor to get right online, including detailed dimensions is a big step in the right direction. Some apparel merchants are taking sizing one step further with interactive fit guides, like the one above Nudie Jeans, which uses an app integration called Virtusize:.
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Poor quality or not enough product images can make it difficult for customers to accurately understand what your product will look like when it arrives at their home.
You can easily reduce your return rate by making sure your product photography is clear and high-quality, and illustrates all of the primary parts of each product. More complicated or detailed products can also benefit from a video or 360-view.
Detailed product descriptions can also help address confusion about product appearance and feel. Sol de Janeiro does this with a multi-tab product content area that defaults to a brief product highlight, with additional tabs to provide more details.
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Are orders not being fulfilled to the right customers?
Are deliveries taking longer than they should?
Analyzing your fulfillment data and using that information to make adjustments to your website content - such as average delivery times - can help eliminate a source of customer support calls.
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For example, maybe you want to be able to deliver every order within two days, but your current fulfillment resources simply can’t make that happen consistently. Being up-front and clear about realistic delivery times (like The Black Dog does in their Shipping FAQ page, above) will help set customers’ expectations appropriately.
Bonus: To get setup on two day shipping, consider our partners at ShipBob.
Continue to study your on-site data using Google Analytics or Shopify’s native analytics and look for high exit % pages. These may be pages where prospects or customers are running into a dead end and being forced to turn to support.
You can also create a goal in Google Analytics that corresponds to contacting support, then reverse the user path to determine which pages lead to them submitting a ticket / hitting that “contact” or “support” button.
Chances are, there are a few areas of “low hanging fruit” that can make significant improvements to your customer support load once you find them and address the root concerns. And with those small fixes, you could see a big impact on your bottom line, and a better on-site experience for your customers.
Read more about customer support on our trusted partner’s site, Growth Spark:

Ecommerce has become awash with digital bells and whistles. Technology has no doubt enhanced the shopper experience but the rapid rate of digital innovation has had a profound effect on customer expectations. By 2020, customers expect brands to automatically personalize experiences to address (not just predict) their current – and future – needs.
But, although customers expect more in terms of tech, they still crave the person-to-person connection. In fact, 75% of consumers want to see more human interaction, not less.
At LoyaltyLion we know that bringing back this human-touch depends on providing a good customer experience. Clearly, a worthwhile cause, as studies show that 86% of shoppers who received great customer care are more likely to repeat purchase. By going the extra mile to treat your shoppers as people – rather than numbers – you can secure a faithful, constant customer base.
Here are three insights that will help you bring the human touch back to your online store.
Each customer is unique. They interact with your brand in different ways, all while having their own personal needs and desires. When a customer feels that you have taken the time to understand their unique requirements, they will trust and value your brand more.
Data and personalization go hand in hand. By using member information to learn how customers engage with your loyalty program, you can understand their feelings towards your brand and react accordingly. Being data-driven is the key to true e-commerce success.
One golden opportunity to personalize your communications this is through targeted emails. Use your Gorgias dashboard to identify past interactions and purchases, as well as a customer’s loyalty points balance. You can then use that member data to create bespoke rewards that you can send right to your customer’s inbox.
Maybe you’ve noticed that they keep eyeing a specific product range? If so, give them discounts on new products in that collection to tempt them to back to buy again. Or perhaps you’re aware that they’re just a couple of points away from their next reward. Give them a little nudge to return and receive their reward sooner. For example, LoyaltyLion user Dr. Axe alerts customers when they have rewards waiting to be claimed, and suggests a particular product to redeem that reward on.

Shoppers love to feel that they’re your only priority and that you care about them on a personal level. They want to feel valued as individuals, not just another number in an extensive database.
Loyalty strategies should incorporate ways to surprise and delight customers. For example, making it easy to offer customers points on their birthday or taking a moment to personally congratulate them when they’ve made a certain number of purchases with you. Beauty Bakerie, for example, offers their customers 500 points on their birthday.

With Connectors for Shopify Flow, it’s easy to use LoyaltyLion and Gorgias to set up triggers that automatically create tickets on a customer’s birthday, reminding a representative to get in touch. It’s the thought that counts and going the extra mile will ensure your customers trust and remember you. Plus, you’ll feel good about it too!
Customers get frustrated when they feel their complaints aren’t taken seriously. Dissatisfied customers will tell between nine and 15 people if they have a bad brand experience. Using Gorgias’ helpdesk and macros, you can help resolve complaints whilst maintaining a personal touch. For example, ethical online yarn store, Darn Good Yarn uses the helpdesk to analyse and automate how they solve common customer issues, using a whole database of the shopper’s history to address specific queries in a more informed way.
If you are reacting to customers have had a negative experience, your loyalty program can help you demonstrate you care. You might consider offering bonus points or benefits such as free delivery, or moving them up a loyalty tier so that they can unlock more exclusive rewards in the future. These tokens of appreciation can turn a bitter experience into a sweet deal.

Research shows that 94% of customers who have their issues solved painlessly said they would purchase from that company again. This shows that helping customers to solve their problems is key to securing their long-term loyalty. Treat your most valuable customers well by making their shopping experiences as easy as possible. In return, they’ll give you their loyalty.
In a world where technology and data can give ecommerce stores a competitive edge, there’s a risk that we could lose touch with the human side of retailing. Human exchanges are still, and always will be, the primary driver of loyalty. So, use digital personalization to your advantage and treat your customers as individuals.

It's been over 3 years since we've started working on the Gorgias helpdesk. The engineering team started with just me (Alex) and then gradually grew to a team of 5 people. We're a small team, but we've accomplished a lot during this period. Here are some stats from 0 code/customers/revenue in Oct 2015 to this:
Modest numbers to be sure, but we're very proud that people use our product in a big part of their workday and hopefully are becoming more productive while doing so. The whole idea behind our product is to scale customer support with as little resources as possible. Given this, perhaps it's only natural to build our product with a small team as well?

We've been suffering chronically from "not having enough people" - we still do. That forced us to adopt a certain engineering culture that I want to talk about in this post.
When we first started building Gorgias, having just a few people on the team allowed us to progress at a pace where we could collect real feedback from our customers with things that really mattered to them rather than building every feature they ask for. A lot of their asks seemed legitimate, but because we didn't have a lot of people it forced us to prioritize the critical, high impact things first.
Having a small team can act like a barrier that blocks you from building a bloated product.
I want to make more of a case for the above statement, but first I'd like to get a bit more into what we did during the 3 year period.
Once we've build an initial version of the app and got our first customers we quickly realized that building a "second Gmail" is super-hard:
It takes a lot of effort to get to a point where you can compete with the likes of Gmail or Zendesk - both amazing products btw. This was definitely the case for us, for close to 2 years we had only a couple of customers and our product wasn't that good if we're being honest.
So what changed a year ago? To put it simply: our product didn't suck anymore. Or sucked less. It had that minimum set of features and stability that made it attractive enough to our main customer base (Shopify merchants) that were passionate about productivity in the customer support space. That, and the tenacity of our CEO Romain who was convincing everyone that they should use us.
So we started having our second wave of early adopters and all our hard work was finally starting to pay-off!
Now that we had more and bigger customers we were starting to have performance issues, our app was slow, suddenly we were starting to get bombarded by viral facebook posts events or promotional events via an email campaigns, we didn't have enough monitoring in place, our app was pretty inefficient, the main database was a frequent source of congestion. So we started fixing those issues while still receiving numerous feature requests.
Thankfully we didn't actually optimize our code that much before (no customers!) and there were a lot of low hanging fruits at first, but it still put a lot of stress on the team which was becoming tired and overworked and requested to hire more people to build those features and help with the performance issues.
We all agreed that it would be for the best to have more people on the team, but hiring is hard. Competent coders are not just randomly looking for the next gig. SF is also a very expensive city and for a startup that raised $1.5M and a 2 years of money burned we couldn't really compete with other players in town. We've started working with some great devs in Europe, we worked with a few talented interns as well and we tried to get by until we could have more customers and hopefully raise some more money to hire more people.
I could speak more about hiring in the Bay Area and there are a lot of things we did wrong and still have a lot of things to learn, but that's probably an even longer post than this one. But yeah, it's hard to find someone good, it's expensive, etc...
So what is the situation right now? Well, it's not much better. We've raise d a seed extension round from SaaStr with Jason Lemkin and hired a few people in the Growth team, but we still have a hard time hiring in SF or remote. In the meantime we have a small team and want to talk about that.
I think it's important to realize the advantages of having a smaller team and the single most important super-powers that you're forced to acquire is saying NO more often that you would with a bigger team. If you have a bigger team and say no to a feature, new platform, integration, etc.. it's harder to justify the decision. There are arguments like:
... we have enough devs! They are paid to make features, so what's the problem!?
... the data shows that 50% of our customers are saying that they want this or that feature, we must build it!
But do we absolutely need to build that feature? Are the customers going to be a lot less effective with your product otherwise? Is it going to be a big boost for them or just a nice improvement? Once a feature is there you have to maintain it, fix bugs, improve it, etc.. The thing with data driven decisions is that sometimes it can be biased towards some historical practice that might not have a place in your current world.
Now, I'm not saying that you shouldn't listen to your customers, you absolutely have to, but be sure you understand well what they want before taking action and understanding takes time. Having an artificial brake on your enthusiasm might be a good thing.
Engineers build things, the natural tendency is to accept any technical challenge because of ego, curiosity, fun, etc... It takes discipline to say no and stick by it. A small team is making it easier to do it.
When you have a small team you're forced to automate a lot more often some of your workflows. You don't have the luxury to do repetitive stuff so:
People that work at Gorgias come from different backgrounds and sometimes it can be challenging to be on the same page. In some cases our work processes are similar to many other companies:
But there is so much more than just the above processes to engineering:
These things need time to happen to be embedded in your engineering consciousness and if you're the first-time founder (like myself) you also need the time to understand how to operate in this environment.
Never managed a big team so I can't really speak about it's dynamics, but I would expect that because there are more people there is a lot more bandwidth you have to manage, a lot more people have to agree, a lot more politics have to be settled. I don't look forward to that to be honest, the more time I can get away with hiring as little as possible without a big sacrifice of our growth as a company the more I'll try to delay it.
I conclusion I would say that it's totally fine to have a small team, in fact, I'm considering it a competitive advantage that you should try to keep as long as you can.
I made a point in this post that having a small team is a competitive advantage, but I also think that we are ready to grow our team a bit. Yep, we're hiring!

Facebook Messenger is becoming a new marketing channels for brands. They use it as a way to build personal relationships with customers and to drive higher conversion than traditional email marketing.
Today, we're excited to announce our newest integration: Octane AI.
When a brand launches a marketing campaigns on Messenger, it typically leads to insane conversion rates. That's why the trend is on the rise.
Another consequence is that a lot of customers respond to promotional Messenger communication. This generates a spike of support requests, that your support team has to deal with.
Our integration with Octane AI lets you handle this support spike directly in Gorgias. Your agents have context about the customer: they see the conversation history before the Messenger conversation (did the customer email you last night?), and allow you to take action, like editing or refunding an order
Customers are already using Octane AI and Gorgias. Here's what Live Love Polish has to say about the Octane AI and Gorgias integration:
“We’re really thrilled that Gorgias and Octane AI came together to make the customer service experience over Messenger even better for our customers. Accessible customer service is central to what we do at Live Love Polish. Answering customer questions via Messenger has made our customers happier.”
Do you want to give this a shot? If you use both tools, just connect your Facebook page to your Gorgias account and see the magic happen. If not, create a Gorgias account, or sign up for Octane AI.
Do you have questions? Just hit the chat bubble, our team would love to tell you more about the integration!


