
The overall best customer support metrics to track:
Most brands keep a close eye on sales numbers, marketing performance, and other parts of the business that generate revenue. But they don’t do a great job measuring customer support performance, usually because they don’t understand the link between customer experience and revenue.
Your customer support team might already measure how quickly you respond to support tickets, which is a great start. The list of metrics we share below paint a fuller picture of the larger impact customer support has on business growth. And once you can demonstrate your impact on business growth, you can start making the case for better tools and more staff.
Track these customer support metrics, improve them, and watch your customer loyalty, repeat purchases, and revenue rise.
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Below, we describe 25 of the most essential customer service metrics, organized into six categories. Some metrics have to do with your team's performance — like how quickly and well you respond to tickets. Other metrics look deeper at your team's impact on larger company goals, like customer retention and revenue generation.
We’ll also share how to calculate each of these metrics. For some, a simple formula will suffice. For others, a dedicated tool like a helpdesk or survey automation tool will save tons of time.
That said, here are the top customer support metrics to track:
Response time metrics
Customer satisfaction metrics
Conversation metrics
Agent performance metrics
Churn & retention metrics
Revenue-related metrics

First response time (FRT) is a metric that tracks how long it takes for you to reply to the first message in a conversation with a customer.
Top performing companies using Gorgias have an average first response time of .54 hours. However, the benchmark varies per channel: aim to respond to email tickets within 24 hours and live chat messages within 90 seconds, according to Klipfolio.
Calculating your average first response time is relatively simple — most helpdesks will report this number for you. If you don’t have a helpdesk, you can find first response times for tickets by comparing the time stamp when you first received the customer request with the timestamp of the first response. If you received the message at 8 AM on Monday and respond at 8 AM on Tuesday, your first response time is one day.
Add up all of your first response times from the period of time you’re looking to analyze — for example, one month — and then divide that number by the total number of resolved tickets during that same time frame:
Total first response times during chosen time period / total # of resolved tickets during chosen time period = Average first response time
Using real numbers, here’s an example of what this calculation looks like:
74,000 seconds / 800 resolved tickets = 92.5 seconds (average first response time)
Your average reply time (or average response time) refers to how long it takes for you to respond to any customer support message, not just the first message of a ticket. Your average response time should be similar to the first response time. You don’t want to keep customers waiting, even in prolonged conversations.
To find your average response time, add up the total time your team has taken to respond to requests during a specific time period. Then, divide that number by the total number of responses your team sent during that time period:
Total time taken to respond during chosen time period / number of sent responses = Average response time


Average resolution time (ART) refers to the amount of time it takes for your customer support team to fully solve the customer’s problem and close the ticket. We analyzed data across about 6,000 ecommerce companies using Gorgias to provide customer support and we found that the top-performing companies have an average resolution time of 1.67 hours.
Inside Gorgias, your average resolution time is automatically tracked. In your account, you’ll get visual reports showing your average resolution time in a given time period.
To calculate average resolution time, also sometimes referred to as “mean time,” begin by choosing a specific time period to analyze. Then, total up the length of all of your resolved conversations with customers during that time period. Once you have that number, divide it by the number of conversations had during the time period you’ve chosen to analyze:
Total duration of resolved conversations / # of customer conversations = Average resolution time
You know what customers absolutely love? When they can get their issues resolved with a single interaction. Single-reply resolution rate calculates what percentage of your tickets are handled with the first reply. It’s also known as the first contact resolution rate or FCR.
Single-reply resolution rate = Total number of requests resolved with one interaction in a single time period divided by the total number of requests in the same time period.
To find your single-reply resolution rate, you can simply divide the number of support issues that were resolved on the first reply by the total number of tickets that are FCR-eligible (FCR-eligible means only including tickets that are possible to give a resolution in one response). As a formula, it would look like this:
Number of support issues resolved on first contact / total number of FCR-eligible support tickets = FCR rate
The average handle time (AHT) is an important metric to track if you offer customer service via phone. In today’s online world, most ecommerce companies handle tickets only with chat and email. However, very large ecommerce brands may choose to provide phone call support as well.
The average ticket handline time includes the total talk time and total hold time for that caller. You can calculate the average for larger periods of time to get better insights, such as per week or per month.
Not using voice support? Learn about 4 benefits of adding voice support to your ecommerce store.
To find your average ticket handling time, add up the total time spent on all voice tickets within the time period you’re analyzing, including talk time, hold time, and follow-up time. Then, divide that number by the number of tickets a customer support agent handled on all channels within that same period of time:
Total voice ticket time / # of total tickets touched = Average handle time

Customer satisfaction (CSAT) is a metric to measure your customer base’s level of satisfaction with their experience. CSAT is one of the most important measurements because satisfied customers return to your store, refer friends, leave reviews, and unlock reliable revenue for your brand.
CSAT compiles responses to a very simple question: “How would you rate the help [Agent] gave you?” You can use a survey or a website feedback widget to ask customers to rate on a scale of 1 to 5 how satisfied they are with a support experience.
CSAT aims to get an overall benchmark for your team’s performance, plus information about the service experience each agent provides. If this score suddenly drops or peaks, you should act fast to see what happened. For example, you may be sending delayed or unhelpful responses after launching a new product, getting a spike in ticket volume, or changing a policy like refunds and returns.
Read our in-depth guide to CSAT score for more tips on improving your CSAT score and CSAT survey response rates.
Calculate your customer satisfaction score by asking a question like, “How would you rate your satisfaction with the goods/services you received?” Then, you would give the customer the option to respond on a scale of 1-5. The scale would look something like this:
With Gorgias, you can automatically send one of these surveys after each interaction with customer support:

Once your customers respond, you’ll need to use the responses in this formula if you don’t have a helpdesk that does it automatically:
(Total number of 4 and 5 responses, or “satisfied customers” / number of total responses) x 100 = CSAT
An example of this could look like this:
(126 4 and 5 responses) / (300 total responses) x 100 = 42% CSAT, which indicates you aren’t doing a great job of satisfying customers.
If you use Gorgias, you can automatically send customer satisfaction surveys and track your scores over time. Learn more about our satisfaction survey and dashboard:


Support performance score is a metric Gorgias created that combines average first response time, average resolution time, and CSAT for a single score out of five that concisely represents your customer service performance. If you could only track one customer service metric — which we do not recommend — it would be this one.
Support performance score balances these three metrics to represent three of the most important elements of quality support:

Support performance score is calculated with a series of thresholds for CSAT, FRT, and resolution time. You have to meet the threshold in each category to reach the next level. Here are the thresholds for FRT, for example:
If you use Gorgias, you’ll see your support performance score over time, plus a breakdown of each metric that makes up your score.
According to The Effortless Experience, 96% of high-effort customer experiences drive customer disloyalty. In other words, the amount of effort across your entire customer journey has a huge bearing on the success of your customer experience and, by extension, your brand’s revenue.

By measuring CES, you and your team members can work towards reducing customer effort, which in turn will increase the lifetime customer value and the likelihood of word-of-mouth referrals.
You may be wondering what exactly is considered “high effort.” This could include long wait times when a customer calls in or reaches out via email, or not getting a concise response — which leads to time-consuming back-and-forth. Of course, “effort” is subjective and highly dependent on the individual customer and their expectations.
To measure CES, you’ll need to utilize another survey. The questionnaire should ask the customer how much effort they had to exert in order to get their question answered.
For example, “[insert company name] made it easy for me to handle my issue.” Then, you’d provide a scale of 1 to 10. A score of 1 would be “strongly disagree,” while 10 would be “strongly agree.”
Once you’ve collected the data, you can calculate your average customer effort score:
Total sum of all responses / total number of responses = CES

Customer contact rate measures the percentage of active customers who contact support each day, month, or year.
A high customer contact rate is an indicator that your customer experience is confusing and unclear. It also means your agents will be swamped with tickets and may not have enough time to provide quality responses.
A high contact rate might also drive down revenue: a customer support interaction is 4x more likely to drive disloyalty than it is to drive loyalty, according to The Effortless Experience. While you want to make your interactions as helpful as possible, you’re better off giving customers a clear, effortless experience without having to reach out to support in the first place.

You can drive down customer contact rate with clearer self-service resources, like an FAQ page and shipping and returns policies.
Divide the number of customers who contact your customer service team for help over the course of a month by the number of total customers. Then, multiply that number by 100.
Contact rate = (Number of customers who contact you in a month / Total number of customers) x 100

Similar to the CSAT, the NPS is a common metric for measuring customer satisfaction. Customers will rate on a scale from 1 to 10 how likely they are to recommend your business to a friend. It’s best to measure this regularly, so you can determine your company’s benchmark and look for any drops or spikes in the average rating.
You can use a feedback widget on your website to collect this data, or include the quick survey at the bottom of emails for transaction or shipping updates.
To calculate net promoter score, you first need to gather data using a customer survey. Send a survey to customers after they make a purchase that asks them, “On a scale of 0 to 10, how likely are you to recommend [products or service] to a friend or colleague?” On this scale, 0 would be not at all likely, and 10 would be extremely likely.
Customers fall into three categories based on their responses to these surveys: promoters (scores 9 or 10), passives (scores 7 or 8), and detractors (scores 0 to 6). Once you have all the data collected, you can apply the numbers to this formula:
Total % of promoters - total % of detractors = Net promoter score

See our best practices for getting the best NPS response rate.
Conversation abandonment rate is a metric to understand how frequently your customers abruptly end interactions with customer support before reaching a clear resolution.
Whether the conversation is happening via email, chat, or phone call, conversation abandonment signals something larger is wrong. Most conversation abandonment happens after customers wait too long or become frustrated by poor service.
To calculate this metric, all you need to track is the number of abandoned incidents and the total number of incidents. In this context, “incidents” refers to either calls, emails, or live chat sessions. Once you have those two numbers, you can plug them into the following formula:
Conversation abandonment rate = (Number of abandoned incidents / Total number of incidents) x 100

Your average number of unresolved tickets is a very important metric to track because unresolved tickets are a leading indicator of unhappy customers. You don’t want too many unresolved tickets piling up. Set a company-wide goal for the maximum number of unresolved tickets per day, week, and month.
Your unresolved ticket rate includes all abandoned conversations, which you read about in the above section. They also include any tickets where the support team couldn’t provide a real solution, plus tickets that your support team forgot to follow up on.
Similarly to ticket volume, you don’t need a specific formula to calculate your number of unresolved tickets. Rather, all you need is a reliable system (whether it’s a helpdesk or a process) for keeping track of how many tickets are left unresolved after a certain length of time.
Want to know how well your self-service strategy — whether that’s automated chat conversations, self-service chat flows, a blog, or any other self-service resource — lowers customer and agent effort?
You can separate out tickets that did not have a customer support representative work on them, and that were resolved only with automation. You can also track the amount of views your self-service resources get to understand how many tickets they deflect entirely.

Finding your total self-service resolution rate is a bit difficult because you don’t have a ticket to open or close. You can track views on your self-service resources to understand whether they’re being adopted, and track changes to your contact rate to see if they reduce the number of tickets coming in.
Automated support resolution rate is a little easier to calculate:
Automated support resolution rate = Total number of requests resolved with only automation in a single time period divided by the total number of requests resolved with automation, manual support, and a combination of both (in the same time period).
(Solved tickets with automation / total tickets received) x 100 = Resolution rate
Customers’ issues do not only exist in your desired support channels like email and chat. Do you get support tickets on social media? Rather than fight against this trend and attempt to ask customers to submit a ticket via chat, you should respond and help them. Just don’t share sensitive data, of course.
Measure the number of social media support tickets that you get every day, week, month, and quarter. When that number grows, it’s not necessarily a bad thing. It could mean that more of your customers are interacting with your social media profiles. However, it’s still important to pay attention to the benchmark metrics and key performance indicators (KPIs). Sudden changes could represent an issue with your product or shipping speeds.
With Gorgias, you can track and respond to every support ticket that comes through social media — or any channel — from within the helpdesk:

Learn more about Gorgias’ social media customer service features.
Unfortunately, there isn’t a clear-cut way to measure and analyze social media support tickets, so we encourage you to use a social listening tool that allows you to do a number of things. For instance, tracking brand mentions on social media, as well as how many tickets are coming in through your social platforms during various periods of time. Having all of your social metrics in one place will make them much easier to analyze than pulling them one-by-one out of several different spreadsheets.
How frequently your brand is mentioned on social media is a critical metric to track if you want to provide incredible support and get on top of PR disasters. You should have a good benchmark for how often your brand is mentioned per day and per week. If the number spikes, then one of your products might have gone viral, or you’ve got a PR nightmare happening.
You can pay attention to brand mentions with a social listening and brand monitoring software. It’s also smart to use a helpdesk built to manage social comments.
To keep an eye on your social media brand mentions, you’ll need to tap into a social listening tool, as mentioned above. You can certainly try to do this manually and track it all in a spreadsheet, but similar to tracking the volume of tickets, digital software will make this process easier and more efficient.
You might also want to measure the number of tickets closed per agent for a certain time period. For example, you could look at the number of tickets each agent is closing per day to spot differences in productivity. You could look at a longer period of time, such as per month, to find which agents are consistently closing more tickets, assuming they each work the same number of hours.
This will help you discover the agents who deserve praise and bonuses, and which ones might need training. If you find an agent that is always closing too few tickets, it may be time to let them go, unfortunately.
With Gorgias, this metric is automatically tracked in your account:

Plus, you can zoom out to understand trends among agents over time, to compare performance or plan your weekly coverage schedules:

To calculate the number of tickets closed per agent, take the total number of tickets closed during a certain time period and then divide it by the number of agents working during that same time period:
Total # tickets closed / # of agents = Tickets closed per agent
Ticket quality isn’t a metric on its own, but it’s a metric you can create to score your agents’ tickets and work toward a consistent quality of response.
We recommend all customer support teams develop a sort of rubric that defines, in objective terms, what a “good” response looks like. The rubric can include things like:
Your agents will appreciate having concrete goals for their tickets. Plus, you will have an easier time holding agents accountable to standards if they’re written down. You can, and should, regularly update your rubric as you dig into data to understand what ticket qualities actually produce the best results.
As we said, this isn’t exactly a metric to measure. So instead, we’ll recommend that you spot check each agent’s tickets against this rubric. This doesn’t have to be an intimidating process. Some support companies have weekly ticket breakdowns where the entire team — or team leadership, for larger companies — discuss and score tickets against the rubric to get on the same page about ticket quality.
Templated responses save your agents a lot of time and, by extension, mean customers get answers faster. If you don’t have a customer support platform, you can create templated responses in Gmail to answer common questions like, “Where is my order?” (WISMO). If you use helpdesk software, you can also likely add pre-written responses agents can use for each channel. At Gorgias, we call these Macros.

You can get statistics on the utilization of your Macros in any given time period. You can then compare this to the use of tags. For example, if the tag “Cancel Order” was used 100 times in one week, but the Macro was only used 50 times, then that means that your reps only used the Macro half the time.
Talk with your reps about why they’re underutilizing certain Macros. You might need to improve the copy of the Macros or add more variables to make it more useful. Or, you might simply need to remind new reps about the Macros feature.
If you don’t use a helpdesk, you’ll likely have to manually review tickets to see when the template was and wasn’t used. Helpdesk software will automatically report on template utilization.
Your company will always have two types of customers: new customers and repeat customers. Tracking both is important, but tracking repeat customers specifically will help you determine if your retention efforts are working. Repeat customers also have a larger impact on overall revenue: Repeat customers generate 300% more revenue than first-time customers, according to data from Gorgias merchants.

The value of repeat customers is compounded by the fact that retaining a current customer is five times less expensive for a business than finding a brand new customer.
To calculate your repeat customer rate (RCR), you can divide your number of repeat customers by your total number of customers, then multiply that by 100. This means that in order to calculate the RCR properly, you need to already be tracking repeat customers versus new customers. The formula for RCR is as follows:
(Total repeat customers / total paying customers) x 100 = RCR
Using real numbers, here’s an example of what the RCR calculation looks like:
(80 repeat customers / 230 paying customers) x 100 = 34.78%

As mentioned previously, retaining customers is always less expensive than finding new customers. That’s why customer retention rate (CRR) is a vital metric. Ecommerce companies in particular have an average CRR of about 30%, according to Omniconvert, so if your company’s CRR is lower than that, it could be a sign that your customer support isn’t as effective as it could be.
To calculate CRR, you will need the following information: number of customers at the end of a given time period (E), number of customers gained within that time period (N), number of customers at the beginning of the time period (S).
Then, plug those numbers into this formula:
CRR = [(E-N)/S] x 100
Tools like Mixpanel, Qualtrics, and Optimove can also help you automatically track this metric.
Net retention rate, sometimes called net dollar retention (NDR) or net revenue rate, measures the percentage of recurring revenue retained from your existing customers over a month, quarter, or year. Klipfolio reports that a good NRR is anywhere between 90% and 125%, depending on your brand’s niche, product, and total addressable market (TAM).
This metric is most common among SaaS companies and subscription-based ecommerce companies, but it can absolutely apply to all types of ecommerce brands and even other industries.
Net revenue retention depends on your business model — it’s easier to calculate for subscription companies than companies that sell standalone products. That said, here’s the formula for net retention rate:
NRR = [(Monthly recurring revenue (MRR) at the start of a month + expansions + upsells - churn - contractions) / MRR at the start of the month] x 100

Customer churn rate measures the amount of customers your business loses over a given time period.
Customer churn is a more common metric for SaaS businesses and other subscription-based business models because those business models can easily spot the moment when an active customer cancels their subscription, or churns.
However, all businesses, including ecommerce businesses without subscription-based products can track churn rate. But ecommerce businesses might find revenue churn rate, which we discuss below, easier to track.
To calculate customer churn rate calculation, gather the total number of customers who were with your business at the beginning of a time frame and the number of active customers at the end of the time you’re analyzing. Then, use this formula:
[(Customers at the beginning of the time period - customers at the end of the time period) / Customers at the beginning of the time period] x 100 = Customer churn rate (%)
Revenue churn measures changes in your store’s incoming revenue from existing customers. Businesses that sell standalone products might find this more simple to track than customer churn rate, which is better geared toward subscription-based businesses.
Revenue churn rate is easier to conceptualize and measure because you’re measuring changes in revenue from existing customers, which is a clear-cut number for every type of store, not changes in existing customers themselves.
First, find your monthly recurring revenue (MRR) — or the incoming revenue you got from existing customers — at the beginning of the month and subtract that from your MRR at the end of the month. Divide that amount by the total MRR at the beginning of the month. Here’s the formula:
[(Revenue from at the beginning of the time period - revenue from customers at the end of the time period) / Customers at the beginning of the time period] x 100 = Churn rate (%)
The number of support tickets your customer support team converts into a purchase shows the value of your customer support team in cold, hard cash. We count a ticket as converted whenever a customer places an order within five days of contacting customer support.
Customer support agents can provide helpful pre-sales answers to new customers asking about things like product sizing or your returns policy. Likewise, a helpful interaction after a purchase could make a customer feel confident and loyal enough to place a repeat purchase.
With Gorgias, you can measure your converted tickets and other revenue statistics in a convenient dashboard. Converted tickets can be from self-service, or automated, and manual responses.

Before you start calculating, make sure that both numbers are from the same time period. Then use this simple formula to calculate your converted tickets:
Total number of sales within five days of a customer support interaction / total number of tickets = Ticket conversion rate
Read more about how to optimize your conversion rate (CRO).
Revenue backlog helps you measure how much revenue your business will see in a coming period. This metric is especially for ecommerce brands with a subscription-based model.
Keeping tabs on your revenue is vital to ensuring your brand's growth and continued success. By tracking your revenue backlog, you’ll be able to see if revenue is going to drop before it actually does.
To determine your revenue backlog, you’ll just need the sum of the values of your customers’ subscriptions. If you don’t exclusively sell subscription packages, you’ll need to use tools like Dataweave or Y42 to measure upcoming revenue.
Happy customers are the best fuel for growth. In other words, the performance of your customer support team (and overall customer experience) directly impacts your bottom line. Customer service metrics help you understand — and improve — the value that customer service brings to your business.

90% of American consumers say that customer service is a deciding factor in whether or not they will do business with a company. Potential customers might ask a question about delivery or the product before making a purchase. And shoppers depend on quality support experiences after the purchase for a great end-to-end experience. If you flub that chance, they may never come back.
Existing customers are also your biggest spenders, and they rely on quality customer support to stay loyal. According to Gorgias research, repeat customers generate 300% more revenue than first-time customers of ecommerce brands. We estimate that by increasing your repeat customer base by 20%, you could increase your revenue up to 6%.
Customer experience is mission-critical — see above for its impact on your revenue — but it isn’t easy to measure. That’s because it encapsulates your on-site shopping experience, customer support interactions across many channels, post-purchase interactions like shipping and returns, and so much more.
Customer support metrics help you evaluate your support program and the customer experience across all those touchpoints so you can benchmark your team’s performance, communicate your performance with company leaders, and find opportunities for improvement.
As we just mentioned, tracking a full suite of customer support metrics can also help you find specific areas of improvement. If you don’t keep track of many customer support metrics, you’ll only have extremely high-level impressions and small samples of customer feedback to paint a picture of your strengths and weaknesses.
But if you have real-time tracking for a wide range of metrics, you can better diagnose the problem and find a strategic solution. For example:
Concrete metrics are great ammunition for your customer service team when making the case to business leaders for more budget to hire additional agents, purchase additional tools, and ramp up training.
To argue for more investment, you can communicate which projects have produced early improvements. For example, if you set up an FAQ page and see lower contact rates, you can expand the page to a fully-fledged help center.
You can also quantify challenges to make a case for more tools. For example, say your agents often ask customers to repeat information or lose time copy/pasting order information from your ecommerce platform to customer support conversations. You could make the case a helpdesk that unifies all your customer support channels and store data in one platform.
Likewise, metrics can help you forecast your customer service staffing needs and proactively hire customer service agents before it’s too late.
Now that you have all the important customer service metrics and formulas to support your customer success program, you may be ready to explore a product to help make tracking it all easier. A centralized customer service software like Gorgias can help save you and your team hours upon hours of time. That time you can spend getting back to what you do best: great customer support.

The Gorgias platform connects all of your integrations and allows for robust analytics tracking, so you can:
If you’re on a mission to measure how your customer service team performs (and stacks up against the rest of your industry), check out our benchmark report.
If you want to improve your metrics with the ecommerce platform custom-built for ecommerce customer service teams, book a demo with us or try Gorgias for free today.
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Customer service metrics are units that measure your customer’s satisfaction levels, as well as your customer service team’s performance. Some examples of customer service metrics include customer satisfaction (CSAT), first response time (FRT), net promoter score (NPS), and customer churn rate (CCR).
Some of the most important customer service metrics to track are customer satisfaction (CSAT) to gauge customer happiness, first contact resolution (FCR) to monitor how efficient your support team is, and revenue churn rate to gain insight into how customer churn directly impacts revenue.
To make a CSAT survey, you will need to create a list of questions about your customer’s satisfaction with your service or product. You will need to decide on a time period to send your survey. You can send CSAT surveys manually or with a customer service tool like Gorgias to automatically send CSAT surveys to customers within a specified time.
Email tickets are best responded to within 24 hours and live chat tickets within 90 seconds. The time it takes to respond to the first ticket from a customer is called first response time or FRT. Using automated messages and macros, like those found in the helpdesk tool Gorgias, can cut down your FRT.
Social media customer service metrics can be tracked with social media listening tools to track brand mentions and omnichannel helpdesk tools like Gorgias to gather all social media direct messages, comments, and ad replies in one inbox.



Modern customers have high expectations when it comes to customer service. One survey showed that nearly half of customers expected an email response from businesses in less than four hours. If your average response time is much higher than this, you could be losing out on a lot of business.
Of course, meeting customer expectations regarding response time is often easier said than done. If your customer support team is struggling to keep up, the good news is that there are some effective ways to shorten your response times without having to hire a team of new employees.
In this blog, we'll discuss why a fast response time is such a vital component of great customer service and go over seven proven methods you can use to achieve a faster response to customer service emails and messages.
When a customer reaches out to you, you should aim for a first response time of one hour for emails, 15 minutes for social media messages, 40 seconds for SMS messages, and even less than that for live chat messages.
No matter what product or service you happen to be selling, creating a positive customer experience is an essential ingredient in the recipe for long-term success. While there is a lot that goes into creating a great experience for your customers, prompt customer service goes a long way.
Here are a few of the reasons why achieving fast response times is such an important goal for your customer service department:
More and more customers have come to expect near real-time access to companies across multiple channels. One Hubspot survey showed that 90% of customers rate an “immediate” response as important or very important when they have a customer service question.
Furthermore, 60% of people who needed support defined "immediate" as 10 minutes or less. If your company isn’t responding to customer queries at least this fast, you risk falling short of expectations your competitors may be meeting.
Fair or not, poor response times can hurt your brand image. Encouraging brand loyalty and return customers is a vital goal for any business, and poor response times can make this goal all the more difficult to reach.
Keep in mind that customers expect fast response times since so many companies today can meet those expectations. If your company isn't keeping up with the customer service offered by the competition, it could damage your brand reputation among existing customers.
There are plenty of scenarios where responding to a customer query within a short time frame can lead to your business making more money. If a customer has a question about your product, for example, responding quickly before they move on to another product could lead to a sale you might not otherwise make.
If a customer needs to return a product, prompt customer service could encourage them to exchange the product for another product or store credit rather than becoming frustrated and demanding a cash return. In instances such as these, fast response times that lead to quick resolutions can directly translate to more or retained revenue.
Good customer service doesn't mean that you always have to solve a customer's issue on the first response. In many cases, simply acknowledging their email and letting them know that you’re working on a solution is enough to keep customers temporarily satisfied and buy your customer service team some time.
Unless the issue is immediately resolvable, your goal in an initial response should be to acknowledge the customer's problem, let them know that you’ve assigned their ticket to a representative, and provide them with a time frame for when they can expect a resolution.
Sending out an initial response that covers these bases can keep customers satisfied and patient while your team members work on their follow-up.
Related: How To Measure Net Promoter Score (NPS)
Achieving fast response times may seem like a lot of work. Many times, though, slow responses can end up increasing the workload of your customer support team. If you don't respond quickly enough to a customer that needs assistance, they may end up contacting your company multiple times through multiple channels.
This can lead to numerous support tickets being created for a single issue, bogging down your team and creating unnecessary confusion that could have otherwise been avoided if you had responded to the customer's initial query promptly. This is another reason it’s helpful to keep your average first response time as low as possible.
For all of the reasons listed above, responding to customer service emails in the shortest amount of time possible is ideal. Thankfully, there are many different methods you can use to speed up your response times across all your support channels that don't require huge investments or shifts.
Before you can test out solutions, determine what your average response time currently is (if you don’t already know). First response time is a crucial customer service metric to evaluate your team's impact because it affects revenue-related metrics like churn and retention rates.
To calculate the average first response time, all you have to do is add up all of your first response times for a given period then divide that number by the number of resolved tickets during that time.
Once you've determined what your average first response time is, you can then set goals for improvement and continue to measure your progress. Gorgias provides you with many analytic tools that allow you to track key customer service metrics, including average response time. By leveraging tools such as these, you can easily analyze your customer support team's efforts and set achievable benchmarks for more improvement.
Related: Customer Service ROI: How to Measure and Improve
Responding to every customer email manually is a monumental task. If you’re still solely relying on traditional methods of responding to customer queries, achieving fast response times is going to be nearly impossible. Fortunately, there’s a wide variety of customer service software on the market today that can take a lot of the heavy lifting out of your workflows.
For example, help desk software allows your team members to see and reply to customer queries from any channel — like social media, ecommerce stores, WhatsApp, and SMS — from a single centralized dashboard. You can organize them based on factors such as the date and time received, priority, subject matter, and some other categories.
Customer service software also automates time-consuming tasks, like sending initial responses to customer emails. This is just a snapshot of the ways these platforms can help your team reduce your response times. We highly recommend leveraging software to optimize your customer support process.
Related: Learn how Gorgias' support performance and live agent performance dashboards can help you measure
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We touched on it briefly, but customer service automation can free up your customer support team significantly during business hours. It provides customers with immediate, automated responses that you can personalize to make sound as friendly as a manual response. These small measures free up your team to focus on more complicated and pressing tasks.
That’s not all. Setting up an auto-responder allows you to send customers an all-important first response any time you like. There’s no need for a live representative, and a quick response could prevent another ticket or message from piling up to deal with in the morning. Most software lets you automate responses and send them via email, chatbot, app notification, text and more.
Recommended reading: Ecommerce Customer Support Best Practices
Having your customer service team type out a custom response to every new email they receive from a customer is inefficient. In addition to using an auto-responder to send out an automated first response, one simple way to speed up your reply time is to make use of scripts and email templates.
To build your scripts, start by identifying common questions and issues that your support team encounters most frequently. You can then create helpful boilerplate answers with blank spots to plug in customer details using your software or other tools.
One pro tip is to look back at positive customer feedback or five-star interactions to get ideas. See which answers made customers feel heard and satisfied while also solving their issues quickly. For live customer support channels such as phone calls or live chat, you can create scripts for each FAQ that representatives can follow.
Leveraging scripts and email templates ensures that your team members aren't having to type out the same response over and over again to commonly asked questions, enabling them to provide service in a more efficient and timely manner.
Some customer support tickets should take higher priority than others. A customer that’s reporting a fraudulent purchase with their debit card needs a quicker response than someone who’s asking if there are any discounts they can use.
Beyond prioritizing tickets, it’s also helpful to categorize them if they share similarities. Grouping similar tickets together boost efficiency. For example, your team can come up with one main solution (create a new discount code because the previous one is buggy) and easily resolve the entire group of tickets in a single pass.
If you’re making use of email templates, a single rep may be able to clear an entire batch of tickets in seconds or minutes.
Every channel where you communicate with customers — from your main phone line and website to messaging platforms like social media and live chat support — should include customer support options. Having multichannel customer support options offers a couple of advantages.
For one, it makes it easy for customers to reach out and engage with your company wherever they are. You may be serving customers across demographics, from Generation Z to baby boomers, all of whom have different communication preferences. The customer’s initial outreach is their first interaction with your customer service experience, and it’s great to start on a note of convenience and ease no matter who the customer is.
Setting up multichannel customer support options can also give your response teams quicker access to the requests that they receive, allowing them to organize by priority no matter where the request originates.
Recommended reading: Customer Support Metrics
Any time a customer can resolve their issue on their own is a success for your business. Customer self-service support keeps your team’s hands-free and prevents one more support ticket from entering the queue. Here are some useful resources you can provide customers:
Equipped with this information, many customers will be able to answer their questions — and perhaps discover or try something new with your product. As you’re putting these resources together, think about how tech-savvy your audience is and how long they want to spend reading about their issue.
With Gorgias Automate, you can improve your live chat widget with a self-service flows that let your customers track and manage their orders without any agent interaction. You can also enable a chatbot. Customers can type in their question or comments and the chatbot will pull up your content that matches those keywords.
All of these tools combine to reduce the number of tickets your support team receives in the first place, which can ultimately result in faster response times for the tickets that do appear.
Recommended reading on live chat:
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We’ve covered a variety of ways to roll back your response times, but that’s not all these best practices accomplish. They also optimize your customer service workflow overall, ensuring your customer service interactions are positive and helpful and your team isn’t overloaded or losing time to repetitive, manual tasks.
At Gorgias, we’re proud to offer a number of different customer service software solutions, from live-chat solutions to chatbot solutions, to email auto-responders. To learn more about how Gorgias can help you speed up your response times in a way that is affordable and hassle-free, book a demo today.

Customer service messaging (also known as conversational customer service) is a powerful way to elevate the customer experience and delight customers beyond their expectations. For customers, texting with a support agent feels much more convenient and casual than slower channels like email. And, SMS is a much better channel for “on-the-go” communication, since most people always have their mobile phones and can usually reply to text messages quickly.
That’s why customer service messaging is one of many recent customer service trends shaking up how ecommerce and D2C businesses offer support.
In this guide, we’ll discuss how your business can implement or improve this type of customer support and other conversational channels in your customer service strategy.
Let’s get started with why it’s important for businesses to offer SMS customer service.
SMS customer service is when support teams resolve customer questions and issues via text message.
Customers love these one-to-one messaging channels for customer service because they’re so quick and convenient. When implemented well, conversational messaging allows customers to reach your CS team and get answers quickly — within 42 seconds, most of the time. Especially considering that 42% of customers prefer communicating with customer service on messaging apps over any other channel, introducing a conversational channel may do wonders for your brand’s customer satisfaction.
Your customer support team can also use these channels to proactively reach out to customers with important updates and timely discounts.
SMS customer service is especially attractive to your customers because they don’t have to stay glued to your website or check a social media app for new DMs. They can get answers to their questions on a device they already check 96 times per day. Let’s take a closer look at SMS, a channel that’s quickly gaining ground as a standard support option.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Imagine leaving your angriest customers to spar with an automated script in your website’s chat window. Now picture your support team reading “Where is my order?” for the hundredth time and glancing at the clock, only to find six hours left in the workday.
Who do you think is more frustrated?
Luckily, you won’t have to answer that, because these are completely avoidable problems. Once you learn the important distinctions between chatbot software and live chat software, you’ll understand how to use them both more effectively and lower blood pressures across the board.
Chatbots rely completely on automation and artificial intelligence (AI) while live chat software connects customers with human agents via a real-time chatbox. A third option, self-service chat, is an appealing alternative.
To determine which solution(s) is best for your business, let’s compare chatbots and live chat software and go through the top use cases for each.
Live chat support connects customers with human support agents who can answer their questions and assist them with any issues. When a customer opens the chat box on a live chat support solution, they are connected with a real person from the company's customer support department.
Support agents then use live chat messaging to address customer inquiries and walk customers through the solution to their problem.
Interested in getting live chat software? Check out one of these lists for tailored recommendations:
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Unlike live chat software, chatbot software doesn’t connect customers with human agents. Instead, chatbot software connects customers with a chatbot that utilizes AI and machine learning to provide natural language answers to common questions.
Automation assists customers with less complex issues and provides quick answers. Chatbot technology enables companies to reduce their average response time, and frees up support agents to focus on more complex queries.
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When comparing chatbots with live chat solutions, it's important to recognize that each category offers its own unique advantages. Many companies choose to employ both live chat and chatbot apps on their ecommerce websites.
With that in mind, let's explore the strengths of each solution.
One of the biggest advantages of chatbot solutions is the fact that they allow for immediate responses to customer inquiries. Live chat solutions can also help companies reduce their wait times, though not to the same degree.
According to data from HubSpot, 90% of customers rate an "immediate" response as important or very important when contacting customer service, with 60% of customers defining "immediate" as 10 minutes or less.
With a chatbot app, offering immediate response times to customer queries is a much more attainable goal. Best of all, these immediate response times are a 24/7 offering for customers, whereas live chat agents may not always be on the clock.
The problem with relying solely on chatbots to reduce customer wait times is the fact that even the best and most intelligent chatbots are often unable to resolve complex issues. Chatbots are excellent at pulling information from internal databases to answer common questions, such as providing the status of a customer's order or editing it.
But for uncommon questions or complex issues, a chatbot alone may not be sufficient. Because they can only handle one thing at a time, it can take forever before you get all of your questions resolved.
Many companies use chatbots alongside live chat support. This allows businesses to offer both immediate responses, as well as more in-depth support for complex issues.
For example, a customer may first be connected with a chatbot that provides instant responses to their query and assists with gathering initial information. If the chatbot determines the customer's question or issue is too complex to resolve, the customer is then connected to a support agent via live chat.
This combination is an ideal solution for many companies, allowing them to quickly resolve common issues without the need for a live chat agent. At the same time, customers have the option to speak with a real person in cases where assistance from a chatbot alone isn’t sufficient.
While chatbot apps can help reduce customer service wait times and the number of customer service reps needed, many customers prefer speaking with a person.
A CGS study found that 86% of customers would rather interact with a human agent than a chatbot. Further, 71% of customers say that they would be less likely to purchase from a brand that did not have real customer service representatives available.
Chatbots have come a long way toward replicating natural language and determining customer intent for better customer engagement. Today, the best chatbot applications can come quite close to sounding like actual human beings.
Chatbots leverage AI and machine learning to deliver personalized responses, as opposed to only “canned” responses, and can better serve your customers.
Even the most advanced chatbots still fall short of a live representative when it comes to delivering a personalized, human touch. They’re also lacking when it comes to handling more complex questions or customer issues.
Once again, a combination of automation and live chat support is typically the best approach.

Chatbots and live chat applications have unique advantages when it comes to delivering consistent and accurate responses to customer queries.
Chatbots are excellent at delivering consistent, on-brand messaging. They can be programmed to systematically follow templates or scripts to provide a consistent customer service experience.
When working with human customer support agents, this high degree of consistency can be a little more difficult to achieve.
While live chat support may not offer the same consistency as chatbots, human support agents do tend to be more accurate when determining the intent of the customer they are assisting.
For example, a simple spelling error can sometimes confuse chatbots, whereas a human customer support agent would be much more likely to look past the error and correctly figure out what the customer needs.
A human agent is also much more likely than a chatbot to accurately interpret questions that are worded strangely.
For companies that are choosing between chatbots and live chat support, it’s a question of whether they’d like to prioritize consistency or accuracy. This is yet another reason why a combination of chatbots and live chat support is often the best solution.
More chat features to provide self-service support without the bots
Many of the issues your website visitors have with bad chatbots involve their mimicry of support from real people. It’s easy to tell when you’re chatting with a robot, but it’s not always made clear to you by the chat widget.
But there’s a third chat option that you should consider in addition to live chat and chatbot software.
Self-service chat options make it clear to your customers that they are receiving automated help. By presenting menus instead of imitating a human conversation, self-service customer support empowers customers to find the answers they need on their own.
It’s a win-win, because the customers get the answers they need in real time, at any hour. And your team can focus on support tickets that are more important to the business.
Here are a few ways self-service chat options can work.
Up to 30% of incoming customer service tickets are shipping status requests. With self-service order management in the chat widget, customers are empowered to make these queries on their own — providing fast answers and reducing your support tickets.
These automated options are easy to add with Gorgias. This self-service adds buttons to the chat widget to automatically:
Quick service with chat automation provides quick, responsive customer service, which means better customer experience and a positive impact on revenue.
Barcelona-based shoe brand ALOHAS added self-service order management flows with Gorgias after experiencing a high chat volume. This allowed customers to find information on their own without a human needing to respond.
Here’s how a “track order” request looks in action:

When using a chat widget, you’ll notice the same questions come up again and again. You can satisfy those FAQs by adding quick answer flows into the chat widget.
These automations can be set up in the widget for questions like:
These automations can be customized for whatever FAQs are most relevant to your ecommerce store.
Here’s how it looks, for example, when an ALOHAS customer wants to find out more about the brand’s shipping policy.

Luxury jewelry brand Jaxxon has used these self-service quick responses with great success. The customer service team found themselves overwhelmed with customer questions and unable to respond as quickly as desired.
Jaxxon upgraded their live chat widget with Gorgias Automate with Quick Responses for customers. The result, combined with using Gorgias’ helpdesk, reduced live chat volume by 17% and lifted the on-site conversion rate by 6%.

Even when a customer chooses to type out a question, automation can be used to provide quick, customized service through the chat widget.
Gorgias can detect questions that come in through chat and provide automatic answers using Rules and Macros.
Here’s how the flow works:
The best part is this can not only be used for chat, but for responses to tickets coming in through other communication channels like email, social media, and SMS.
With Gorgias, you can make sure your chat widget isn’t missing a single ticket, even if your customer support team is offline.
First, you can set up your business hours to correspond with when you have live chat available. This will show up on your site’s chat widget by either showing the current status as online or offline.
From there, you can create automated responses for whether you’re offline or online. During business hours, this message can tell customers you’ve received their request and give a time by which they can expect a response.
After business hours, the responder can tell customers that although you’re offline, they can expect a response during the next day’s business hours via email.

You can also use a contact form which turns a chat into an emailed ticket. This is great to use after-hours and to make sure chat requests don’t get lost overnight.
The use of automation within customer service is multifaceted. As we discussed earlier, a human touch is critical for many customers, and speaking with an automated chatbot can be a turn-off. However, automation certainly has its place in the customer service process.
On the customer’s side, starting with self-service chat helps them receive quicker customer support at scale — a more satisfying experience. On your team’s side, automation allows for sorting, segmenting, and prioritizing tickets.
When self-service chat can’t solve an issue, someone from your support team can easily step into the conversation. You can use Macros — scripts that automatically bring in the customer’s information — to scale the human touch on your support team.
So in reality, it’s not automation vs human support. These are two complementary tools that work better together. And the result is a stronger and faster customer experience for your website visitors, which can increase your conversion rate by as much as 12%.
Still not convinced? In 2021, brands using the Gorgias chat widget generated an average of $38,702 from conversations involving chat. We have a whole post on live chat statistics that can help illustrate the impact our chat widget can have on your business.
If you’re an ecommerce business looking for an all-in-one customer support solution that includes live chat support and AI-powered chatbots, Gorgias is your one-stop shop.
Our algorithms are trained on hundreds of millions of ecommerce tickets, so you can be sure your customers are getting the right responses every time.
Plus, you can manage both live chat and chatbot conversations in the same dashboard that you use for all your other channels, including phone, email and major social media platforms. Bring in chat from other channels, including Facebook Messenger. We’ll even be supporting Whatsapp in early 2023.
Our customer support platform is available for Magento, Shopify, and BigCommerce users.
Read more about our chat offerings by clicking here.

Every year, businesses lose a total of $75 billion due to poor customer service. To prevent bad experiences with support from limiting your company’s growth, you need to prioritize improving customer satisfaction with a fast, low-effort, and helpful customer experience.
Most brands would agree that customer satisfaction is important, but few realize just how much interactions with customer support matter for your revenue. In our analysis of over 10,000 online businesses, we found that raising CSAT score by just one point — from 4 to 4.9 — lifts overall revenue by 4%.
In this article, we’ll dive deep into a metric that tells you a lot about your company’s customer experience and revenue potential: customer satisfaction score (CSAT). We’ll offer nine strategies to help you measure and boost your CSAT score, and share some tips to get more customers to rate their satisfaction so you have the best data to work with.
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If you're looking for a quick summary, you've found it! Here are the top ways to raise CSAT and response rates:
Customer satisfaction (CSAT) score is a customer support metric that measures how a customer feels after an interaction with your brand’s customer support. Brands measure CSAT by sending out customer satisfaction surveys as a follow-up to customer service interactions. The survey simply asks customers to rate the interaction on a scale from 1 to 5, 1 being the worst and 5 being the best.

While customers rate the interactions between 1 and 5, many company’s run scores through a formula that will spit out an overall CSAT score somewhere between 0 and 100. However, we at Gorgias keep CSAT simple and just average all CSAT responses for an overall score from 1-5. Our recommended goal for CSAT is 4.8.
On top of the numeric score, CSAT surveys also usually include a field for customers to explain why they chose that rating. This qualitative feedback is a hugely important benefit of measuring CSAT because they help you understand your customer support’s strengths and weaknesses.
One way to calculate your overall CSAT score is to divide the number of respondents who rated their interaction as 4/5 or 5/5 by your total number of CSAT survey responses. Then, multiply by 100. The number you are left with is your company's overall CSAT score.

For example, if you have 500 CSAT responses and 400 of those responses are positive (4/5 or 5/5), then your CSAT score is 400/500 x 100 = 80.
However, you can also keep things simple by taking the average of all your CSAT responses and using that as your CSAT score. That’s what we do at Gorgias: If a company’s CSAT responses are 50% 4 and 50% 5, their overall CSAT score is 4.5.
The average CSAT score varies from industry to industry, but here’s a general breakdown of CSAT score by industry:

As mentioned, we at Gorgias simply average all CSAT responses to result in a score from 1-5. We recommend our customers, all of whom are ecommerce merchants, aim for a CSAT score of 4.8.
That said, if your CSAT score doesn’t line up with your industry, don’t be discouraged. Every brand starts somewhere. Rather than focusing on your industry’s benchmarks, focus on the changes you can make to improve your CSAT score one point at a time, month after month. You might even see your CSAT score shoot up when you start collecting more responses or start tweaking your customer service offerings.
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The main point in tracking your CSAT score is to look for ways to improve it. If you would like to start creating more satisfied customers, here are nine effective tips to try:
Positive CSAT survey responses are great, but negative responses tend to offer the most value. Auditing CSAT responses lower than 4/5 can help you identify common themes and issues harming customer satisfaction.
If you use Gorgias, you can go to Statistics > Satisfaction to see every single ticket in chronological order and investigate tickets four stars and under:

Jot down common themes that pop up and tally up the number of tickets that mention those issues: Wait times, unclear answers, and unresolved product issues are all common offenders. Issues with lots of tallies are likely to be high-impact opportunities for improvement. For instance, if long wait times are a common theme in your negative CSAT responses, then you know what your support team will need to do in order to improve customer satisfaction — find ways to reduce wait times.
As your brand grows and receives more tickets, analyzing every single low-scoring CSAT response may not be possible. If you don’t have an internal team to help you analyze large amount of data, a thematic analysis tool that uses natural language processing (NLP) can quickly scan all your tickets and look for common themes.
Here’s how the process works:
Just like we described above, these themes help you isolate one or two areas to work on at a time, which is the most strategic way to improve your CSAT score.
CSAT surveys are great for forming a general idea of a customer's satisfaction level, but they don't always tell you everything you need to know. Even with the open-ended field, you may not get much detail about why customers pick a certain rating. In cases where customers give your company a low CSAT score, reaching out to them to get detailed feedback could reveal more about how you can prevent low scores in the future.
One issue that may cause lower CSAT scores is poor or inconsistent responses coming from your team. Creating a detailed rubric that breaks down what a quality ticket response looks like can provide both a valuable template for your agents and a more comprehensive system for objectively measuring ticket quality. By aligning your team’s efforts around this kind of rubric, you’ll be much closer to providing satisfying responses to all customer inquiries.
In the rubric, you can include aspects like response time, accuracy (with company policy), alignment with brand voice and tone, and anything else you believe contributes to a great customer service interaction for your brand.

While the purpose of the rubric is to help agents create responses that get high satisfaction scores, that may not always be the case. For example, if your brand voice is very punny and whimsical, a response with lots of puns will score high on the rubric. However, that ticket might not be clear enough to be satisfying for the customers. If you notice that interactions score high on your rubric but low on CSAT, then you may need to update the rubric.
Once you use CSAT surveys to identify areas with room for improvement, it's time to put that data into action. Bolstering your customer service training and resources can help you eliminate specific issues harming the customer experience and improve your CSAT score.
Creating an internal knowledge base so that agents have easy access to the information they need to assist customers can be one effective way to bolster the quality of your customer support. Providing your agents with templated responses is another way to ensure that every customer interaction is satisfactory and on brand.
When agents have more time to give each support ticket their undivided attention and A+ effort, customer satisfaction is bound to improve. But chances are that most tickets that your company receives don't actually need an in-depth response from a live agent. And if those repetitive tickets take up too much time, agents won’t be able to take the time to give a high-quality response when it’s needed.
Support tickets such as "where is my order?" inquiries, common product questions, and other repetitive tickets take time and resources away from more complex tickets requiring a more detailed and personalized response.
By using Gorgias to create automated responses to these repetitive tickets, you can free up time in your support team's daily schedule so that they can put more focus and effort into high-value or complex tickets. Specifically, you can use:
Customer satisfaction doesn't begin with customer support, and it doesn't end there, either. Along with boosting customer satisfaction by improving your customer support quality, you can also improve your CSAT score by searching for opportunities to improve the customer experience beyond the agent level.
This can include:
Of course, your support team will need to pass along customer feedback with ideas to improve the product and customer experience. Check out our post on collecting and sharing customer feedback for tips.
Meeting customer expectations regarding customer support is one crucial key to high CSAT scores. Consider incorporating customer support best practices like the following three suggestions to meet those customer expectations.
Omnichannel support is the strategy of creating and uniting customer touchpoints on many channels: email, social media, SMS texting, and more. An omnichannel approach gives you more chances to meet customers where they’re at. Plus, with a helpdesk that combines all of these channels, you can easily manage incoming messages without having to spend half your day switching between windows.

Customer self-service is any tool or resource that helps customers answer questions without having to reach out to an agent — resources like FAQ pages and knowledge bases, self-service flows, or chatbots. 88% of customers expect self-service resources because they are fast and low-effort. Fortunately, self-service resources also reduce the number of repetitive tickets your agents receive on a day-to-day basis.

Proactive customer service is a strategy to reach out to customers before they think to reach out to support. Common self-service tactics include live chat campaigns that ask customers if they need help while browsing your site or welcoming customers with a DM when they follow your social media profiles. Proactive customer support gives you more opportunities to answer customer questions, offer discounts that boost your conversion rate, or find new ways to make happy customers.

Slow response times are another common customer support issue that can harm customer satisfaction. If you notice that long wait times are a recurring complaint in your low-scoring CSAT responses, introducing touchpoints that allow fast, one-to-one interactions can lower your response times (and hopefully, by extension, your CSAT score).
The most effective of these conversational channels include live chat, social media DMs, and SMS texting. These real-time support channels enable your agents to quickly handle multiple tickets at a time, without hours of delay, which is common in emails.
If you have the bandwidth to keep up with these channels, they can dramatically improve response times and resolution times. That said, be sure you’ve hired enough agents to respond to requests on these live channels within the first few minutes to keep your customer experience great.

CSAT survey responses are valuable, and collecting as many of them as possible is important. However, customers aren't always going to jump at the opportunity to fill out a survey. To improve your CSAT survey response rate and start collecting more valuable customer feedback, here are a few effective tips:
You should send out a CSAT survey following every customer interaction. One great way to ensure that every customer is sent a survey without further burdening your support team is to send these surveys out automatically.
With Gorgias, you can create CSAT surveys that send automatically following every customer service interaction, ensuring that every customer gets the opportunity to leave feedback.

Customers are more likely to respond to a CSAT survey when the interaction is still fresh on their minds. It is typically best to send out CSAT surveys immediately following a customer interaction.
The only exception is if you have a particularly complicated product, like a piece of software that the customer needs to set up. That’s because the customer might still need to configure something before they know whether or not your support team effectively addressed the pain point. But for most products, the sooner the better.
While detailed feedback is great, most of your customers won't be willing to answer dozens of survey questions. It's usually best to keep your CSAT surveys short and simple. A single question that asks customers to rank their satisfaction on a scale of 1 to 5, along with an optional form for providing more detailed feedback, is the tried-and-true best format for CSAT surveys.
With that said, there are certainly times when you will want to reach out to customers for more detailed feedback. We've already mentioned how reaching out to low-scoring customers can be a great way to identify issues and take another stab at satisfying them. However, it's best to use these long-form surveys and feedback requests as a follow-up to low-scoring CSAT survey responses instead of the initial survey.
Making it fun and interesting for customers to fill out your CSAT surveys can go a long way toward boosting your response rate. One simple way to make your surveys more appealing is to include visually engaging elements such as buttons, images, and stars:

Something as simple as including the customer's name in your CSAT survey email can add a professional touch to these emails and help ensure that customers don't mistake them for spam. Referencing the ticket number in question is another effective practice for personalizing CSAT survey emails.
It might not be sustainable long term, but offering incentives such as discount codes or gift cards for CSAT responses can certainly improve your CSAT response rate. If you can't afford to offer incentives for every CSAT response, offering incentives for customers to complete your more long-form feedback surveys can effectively gather more detailed customer feedback.
We recommend all brands measure customer satisfaction and use CSAT scores as a key performance indicator (KPI) for the customer support team. That’s true whether you have a large in-house support crew, outsource to a call center, or are a one-person business. Regardless, keeping tabs on your customer satisfaction will pay off. Here’s why:
According to Shopify data, even small ecommerce companies with less than four employees spend between $21 to $533 on average to acquire a new customer, depending on the industry. So if your strategy is too focused on customer acquisition — and not customer retention — you’re building a ship with a hole. In other words, you’ll leak revenue from existing customer churn and sink under ocean-sized acquisition costs.
A high CSAT score indicates you don’t have a hole in your ship: Your customer loyalty is high and you’ll stay afloat at a much lower cost. And the best way to keep customer loyalty high is to deliver a customer experience that satisfies your customers.
In our CX Growth Playbook, which analyzed data from over 10,000 ecommerce merchants, we also found that raising your CSAT from 4 to 4.9 could raise overall revenue by 4%, thanks to the number of repeat purchases that follow high CSAT responses.

Customer experience is complex and multi-dimensional. Everything, from the quality of your website’s FAQ page to the email customers receive after a purchase, stacks up into a customer experience that’s either satisfying or frustrating.
Tracking CSAT scores is one of your best bets to measure the overall quality of your customer support experience. And measuring the quality of your customer support experience is the first step to identifying where you excel and where you have an opportunity to better satisfy customer needs.
CSAT scores tend to directly correlate with other important customer service KPIs such as first-response time (FRT), average handle time (AHT), average reply times, and resolution times. Tracking all of these KPIs gives you a fuller picture of your customer support experience.
For example, if your CSAT score and resolution times start to fall but your response times are high, the takeaway is that your support team needs to focus on quality responses, not just fast ones. Low CSAT scores and resolution times indicate that your responses — even if they’re near-instant — aren’t solving customer needs. For example, a cause of this might agents blindly applying canned responses, or Macros, without updating information or making it relevant for the customer.
Tracking customer satisfaction can help you pinpoint the root cause of issues harming the customer experience, whether that’s slow responses, low-quality responses, or some other aspect of the customer experience that customers find dissatisfying. For example, while auditing, you might find that many customers are upset about a discount code not applying at checkout. Only once you realize it’s a pattern might you realize that you’ve been communicating the wrong discount code to customers.
By measuring your CSAT and digging into themes across qualitative responses, you may be able to triangulate issues that need customer service training or new resources like a knowledge base. Plus, with the right helpdesk, you may be able to see CSAT broken down by a customer service agent so you can see which agents need additional training or quality assurance.
Above, we explained how you can use the customer feedback from CSAT surveys to improve your customer support service quality. However, you can also use it to improve other areas of your business, too. For example, your team can pass feedback regarding the product itself to your product development team. Similarly, feedback regarding your website can be routed to your marketing or software development team.

CSAT is an insightful metric for customer support teams to track, but it doesn't tell the whole story about customer satisfaction. For example, you could have a high CSAT but never get to 10% of your tickets — those customers would not be satisfied but never get the chance to fill out a survey. Similarly, CSAT may give you a skewed sample population if only your most engaged and happy customers respond to your survey requests.
For that reason, keep an eye on other signals of customer satisfaction, like social media mentions and customer referrals. Other important metrics to track include net promoter score (NPS), first-response time (FRT), average handle time (AHT), and customer effort score (CES).
Gorgias developed a new metric called support performance score, which is our best shot at creating a single north-star metric that measures the overall quality of your support. Support performance score combines CSAT, first-response time, and resolution time to estimate how fast, helpful, and satisfying your support is. If you use Gorgias, you’ll find your support performance score in your Statistics dashboard:

By tracking multiple customer support and customer satisfaction metrics, you can form a comprehensive view of how satisfied customers are with your company and better identify areas where there is room for improvement.
Improving your ecommerce store's CSAT score can improve customer retention, boost referrals, limit negative reviews, and provide a wide range of other business-boosting benefits.
From freeing up your team via automated responses to repetitive tickets to speeding up first-response times via SMS and live chat support, Gorgias enables you to move faster, make more happy customers, and grow your store.
Our platform also offers tools for collecting and analyzing customer feedback automatically so that the valuable information you need to improve your customer experience further is always at your fingertips. See how our customer, Ohh Deer, uses Gorgias' live chat to maintain a 4.95 CSAT score (and generate $50,000 in revenue annually.)
Get started with Gorgias now to see how our industry-leading customer support platform can help you track and improve your CSAT score.