

TL;DR:
Conversational commerce finally has a scoreboard.
For years, CX leaders knew support conversations mattered, they just couldn’t prove how much. Conversations lived in that gray area of ecommerce where shoppers got answers, agents did their best, and everyone agreed the channel was “important”…
But tying those interactions back to actual revenue? Nearly impossible.
Fast forward to today, and everything has changed.
Real-time conversations — whether handled by a human agent or powered by AI — now leave a measurable footprint across the entire customer journey. You can see how many conversations directly influenced a purchase.
In other words, conversational commerce is finally something CX teams can measure, optimize, and scale with confidence.
If you want to prove the value of your CX strategy to your CFO, your marketing team, or your CEO, you need data, not anecdotes.
Leadership isn’t swayed by “We think conversations help shoppers.” They want to see the receipts. They want to know exactly how interactions influence revenue, which conversations drive conversion, and where AI meaningfully reduces workload without sacrificing quality.
That’s why conversational commerce metrics matter now more than ever. This gives CX leaders a way to:
These metrics let you track impact with clarity and confidence.
And once you can measure it, you can build a stronger case for deeper investment in conversational tools and strategy.
So, what exactly should CX teams be measuring?
While conversational commerce touches every part of the customer journey, the most meaningful insights fall into four core categories:
Let’s dive into each.
If you want to understand how well your conversational commerce strategy is working, automation performance is the first place to look. These metrics reveal how effectively AI is resolving shopper needs, reducing ticket volume, and stepping into revenue-driving conversations at scale.
The two most foundational metrics?
Resolution rate measures how many conversations your AI handles from start to finish without needing a human to take over. On paper, high resolution rates sound like a guaranteed win. It suggests your AI is handling product questions, sizing concerns, shade matching, order guidance, and more — all without adding to your team’s workload.
But a high resolution rate doesn’t automatically mean your AI is performing well.
Yes, the ticket was “resolved,” but was the customer actually helped? Was the answer accurate? Did the shopper leave satisfied or frustrated?
This is where quality assurance becomes essential. Your AI should be resolving tickets accurately and helpfully, not simply checking boxes.
At its best, a strong resolution rate signals that your AI is:
When resolution rate quality goes up, so does revenue influence.
You can see this clearly with beauty brands, where accuracy matters enormously. bareMinerals, for example, used to receive a flood of shade-matching questions. Everything from “Which concealer matches my undertone?” to “This foundation shade was discontinued; what’s the closest match?”
Before AI, these questions required well-trained agents and often created inconsistencies depending on who answered.
Once they introduced Shopping Assistant, resolution rate suddenly became more meaningful. AI wasn’t just closing tickets; it was giving smarter, more confident recommendations than many agents could deliver at scale, especially after hours.

That accuracy paid off.
AI-influenced purchases at bareMinerals had zero returns in the first 30 days because customers were finally getting the right shade the first time.
That’s the difference between “resolved” and resolved well.
The zero-touch ticket rate measures something slightly different: the percentage of conversations AI manages entirely on its own, without ever being escalated to an agent.
This metric is a direct lens into:
More importantly, deflection widens the funnel for more revenue-driven conversations.
When AI deflects more inbound questions, your support team can focus on conversations that truly require human expertise, including returns exceptions, escalations, VIP shoppers, and emotionally sensitive interactions.
Brands with strong deflection rates typically see:
If automation metrics tell you how well your AI is working, conversion and revenue metrics tell you how well it’s selling.
This category is where conversational commerce really proves its value because it shows the direct financial impact of every human- or AI-led interaction.
Chat conversion rate measures the percentage of conversations that end in a purchase, and it’s one of the clearest indicators of whether your conversational strategy is influencing shopper decisions.
A strong CVR tells you that conversations are:
You see this clearly with brands selling technical or performance-driven products.
Outdoor apparel shoppers, for example, don’t just need “a jacket” — they need to know which jacket will hold up in specific temperatures, conditions, or terrains. A well-trained AI can step into that moment and convert uncertainty into action.
Arc’teryx saw this firsthand.

Once Shopping Assistant started handling their high-intent pre-purchase questions, their chat conversion rate jumped dramatically — from 4% to 7%. A 75% lift.
That’s what happens when shoppers finally get the expert guidance they’ve been searching for.
Not every shopper buys the moment they finish a chat. Some take a few hours. Some need a day or two. Some want to compare specs or read reviews before committing.
GMV influenced captures this “tail effect” by tracking revenue within 1–3 days of a conversation.
It’s especially powerful for:
In Arc’teryx’s case, shoppers often take time to confirm they’re choosing the right technical gear.
Yet even with that natural pause in behavior, Shopping Assistant still influenced 3.7% of all revenue, not by forcing instant decisions, but by providing the clarity people needed to make the right one.
This metric looks at the average order value of shoppers who engage in a conversation versus those who don’t.
If the conversational AOV is higher, it means your AI or agents are educating customers in ways that naturally expand the cart.
Examples of AOV-lifting conversations include:
When conversations are done well, AOV increases not because shoppers are being upsold, but because they’re being guided.
ROI compares the revenue generated by conversational AI to the cost of the tool itself — in short, this is the number that turns heads in boardrooms.
Strong ROI shows that your AI:
When ROI looks like that, AI stops being a “tool” and starts being an undeniable growth lever.
Related: The hidden power and ROI of automated customer support
Not every metric in conversational commerce is a final outcome. Some are early signals that show whether shoppers are interested, paying attention, and moving closer to a purchase.
These engagement metrics are especially valuable because they reveal why conversations convert, not just whether they do. When engagement goes up, conversion usually follows.
CTR measures the percentage of shoppers who click the product links shared during a conversation. It’s one of the cleanest leading indicators of buyer intent because it reflects a moment where curiosity turns into action.
If CTR is high, it’s a sign that:
In other words, CTR tells you which conversations are influencing shopping behavior.
And the connection between CTR and revenue is often tighter than teams expect.
Just look at what happened with Caitlyn Minimalist. When they began comparing the results of human-led conversations versus AI-assisted ones over a 90-day period, CTR became one of the clearest predictors of success. Their Shopping Assistant consistently drove meaningful engagement with its recommendations — an 18% click-through rate on the products it suggested.
That level of engagement translated directly into better outcomes:
When shoppers click, they’re moving deeper into the buying cycle. Strong CTR makes it easier to forecast conversion and understand how well your conversational flows are guiding shoppers toward the right products.

Discounting can be one of the fastest ways to nudge a shopper toward checkout, but it’s also one of the fastest ways to erode margins.
That’s why discount-related metrics matter so much in conversational commerce.
They show not just whether AI is using discounts, but how effectively those discounts are driving conversions.
This metric tracks how many discount codes or promotional offers your AI is sharing during conversations.
Ideally, discounts should be purposeful — timed to moments when a shopper hesitates or needs an extra nudge — not rolled out as a one-size-fits-all script. When you monitor “discounts offered,” you can ensure that incentives are being used as conversion tools, not crutches.
This visibility becomes particularly important at high-intent touchpoints, such as exit intent or cart recovery interactions, where a small incentive can meaningfully increase conversion if used correctly.
Offering a discount is one thing. Seeing whether customers use it is another.
A high “discounts applied” rate suggests:
A low usage rate tells a different story: Your team (or your AI) is discounting unnecessarily.
This metric alone often surprises brands. More often than not, CX teams discover they can discount less without hurting conversion, or that a non-discount incentive (like a relevant product recommendation) performs just as well.
Understanding this relationship helps teams tighten their promotional strategy, protect margins, and use discounts only where they actually drive incremental revenue.
Once you know which metrics matter, the next step is building a system that brings them together in one place.
Think of your conversational commerce scorecard as a decision-making engine — something that helps you understand performance at a glance, spot bottlenecks, optimize AI, and guide shoppers more effectively.
In Gorgias, you can customize your analytics dashboard to watch the metrics that matter most to your brand. This becomes the single source of truth for understanding how conversations influence revenue.
Here’s what a powerful dashboard unlocks:
Some parts of the customer journey are perfect for AI: repetitive questions, product education, sizing guidance, shade matching, order status checks.
Others still benefit from human support, like emotional conversations, complex troubleshooting, multi-item styling, or high-value VIP concerns.
Metrics like resolution rate, zero-touch ticket rate, and chat conversion rate show you exactly which is which.
When you track these consistently, you can:
For example, if AI handles 80% of sizing questions successfully but struggles with multi-item styling advice, that tells you where to invest in improving AI, and where human expertise should remain the default.
Metrics like CTR, CVR, and conversational AOV reveal the inner workings of shopper decision-making. They show which recommendations resonate, which don’t, and which messaging actually moves someone to purchase.
With these insights, CX teams can:
For instance, if shoppers repeatedly ask clarifying questions about a product’s material or fit, that’s a signal for merchandising or product teams.
If recommendations with social proof get high engagement, marketing can integrate that insight into on-site messaging.
Conversations reveal what customers really care about — often before analytics do.
This is the moment when the scorecard stops being a CX tool and becomes a business tool.
A clear set of metrics shows how conversations tie to:
When a CX leader walks into a meeting and says, “Our AI Assistant influenced 5% of last month’s revenue” or “Conversational shoppers have a 20% higher AOV,” the perception of CX changes instantly.
You’re no longer a support cost. You’re a revenue channel.
And once you have numbers like ROI or revenue influence in hand, it becomes nearly impossible for anyone to argue against further investment in CX automation.
A scorecard doesn’t just show what’s working, it surfaces what’s not.
Metrics make friction obvious:
Metric Signal |
What It Means |
|---|---|
Low CTR |
Recommendations may be irrelevant or poorly timed. |
Low CVR |
Conversations aren’t persuasive enough to drive a purchase. |
High deflection but low revenue |
AI is resolving tickets, but not effectively selling. |
High discount usage |
Shoppers rely on incentives to convert. |
Low discount usage |
You may be offering discounts unnecessarily and losing margin. |
Once you identify these patterns, you can run targeted experiments:
Compounded over time, these moments create major lifts in conversion and revenue.
One of the biggest hidden values of conversational data is how it strengthens cross-functional decision-making.
A clear analytics dashboard gives teams visibility into:
Suddenly, CX isn’t just answering questions — it’s informing strategy across the business.
With the right metrics in place, CX leaders can finally quantify the impact of every interaction, and use that data to shape smarter, more profitable customer journeys.
If you're ready to measure — and scale — the impact of your conversations, tools like Gorgias AI Agent and Shopping Assistant give CX teams the visibility, accuracy, and performance needed to turn every interaction into revenue.
Want to see it in action? Book a demo and discover what conversational commerce can do for your bottom line.
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When Rhoback introduced an AI Agent to its customer experience team, it did more than automate routine tickets. Implementation revealed an opportunity to improve documentation, collaborate cross-functionally, and establish a clear brand tone of voice.
Samantha Gagliardi, Associate Director of Customer Experience at Rhoback, explains the entire process in the first episode of our AI in CX webinar series.
With any new tool, the pre-implementation phase can take some time. Creating proper documentation, training internal teams, and integrating with your tech stack are all important steps that happen before you go live.
But sometimes it’s okay just to launch a tool and optimize as you go.
Rhoback launched its AI agent two weeks before BFCM to automate routine tickets during the busy season.
Why it worked:
Before turning on Rhoback’s AI Agent, Samantha’s team reviewed every FAQ, policy, and help article that human agents are trained on. This helped establish clear CX expectations that they could program into an AI Agent.
Samantha also reviewed the most frequently asked questions and the ideal responses to each. Which ones needed an empathetic human touch and which ones required fast, accurate information?
“AI tells you immediately when your data isn’t clean. If a product detail page says one thing and the help center says another, it shows up right away.”
Rhoback’s pre-implementation audit checklist:
Read more: How to Optimize Your Help Center for AI Agent
It’s often said that you should train your AI Agent like a brand-new employee.
Samantha took it one step further and recommended treating AI like a toddler, with clear, patient, repetitive instructions.
“The AI does not have a sense of good and bad. It’s going to say whatever you train it, so you need to break it down like you’re talking to a three-year-old that doesn’t know any different. Your directions should be so detailed that there is no room for error.”
Practical tips:
Read more: How to Write Guidance with the “When, If, Then” Framework
For Rhoback, an on-brand Tone of Voice was a non-negotiable. Samantha built a character study that shaped Rhoback’s AI Agent’s custom brand voice.
“I built out the character of Rhoback, how it talks, what age it feels like, what its personality is. If it does not sound like us, it is not worth implementing.”
Key questions to shape your AI Agent’s tone of voice:
Once Samantha started testing the AI Agent, it quickly revealed misalignment between Rhoback’s teams. With such an extensive product catalog, AI showed that product details did not always match the Help Center or CX documentation.
This made a case for stronger collaboration amongst the CX, Product, and Ecommerce teams to work towards their shared goal of prioritizing the customer.
“It opened up conversations we were not having before. We all want the customer to be happy, from the moment they click on an ad to the moment they purchase to the moment they receive their order. AI Agent allowed us to see the areas we need to improve upon.”
Tips to improve internal alignment:
Despite the benefits of AI for CX, there’s still trepidation. Agents are concerned that AI would replace them, while customers worry they won’t be able to reach a human. Both are valid concerns, but clearly communicating internally and externally can mitigate skepticism.
At Rhoback, Samantha built internal trust by looping in key stakeholders throughout the testing process. “I showed my team that it is not replacing them. It’s meant to be a support that helps them be even more successful with what they’re already doing," Samantha explains.
On the customer side, Samantha trained their AI Agent to tell customers in the first message that it is an AI customer service assistant that will try to help them or pass them along to a human if it can’t.
How Rhoback built AI confidence:
Read more: How CX Leaders are Actually Using AI: 6 Must-Know Lessons
Here is Rhoback’s approach distilled into a simple framework you can apply.
Watch the full conversation with Samantha to learn how AI can act as a catalyst for better internal alignment.
📌 Join us for episode 2 of AI in CX: Building a Conversational Commerce Strategy that Converts with Cornbread Hemp on December 16.
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TL;DR:
In 2024, Shopify merchants drove $11.5 billion in sales over Black Friday Cyber Monday. Now, BFCM is quickly approaching, with some brands and major retailers already hosting sales.
If you’re feeling late to prepare for the season or want to maximize the number of sales you’ll make, we’ll cover how food and beverage CX teams can serve up better self-serve resources for this year’s BFCM.
Learn how to answer and deflect customers’ top questions before they’re escalated to your support team.
💡 Your guide to everything peak season → The Gorgias BFCM Hub
During busy seasons like BFCM and beyond, staying on top of routine customer asks can be an extreme challenge.
“Every founder thinks BFCM is the highest peak feeling of nervousness,” says Ron Shah, CEO and Co-founder of supplement brand Obvi.
“It’s a tough week. So anything that makes our team’s life easier instantly means we can focus more on things that need the time,” he continues.
Anticipating contact reasons and preparing methods (like automated responses, macros, and enabling an AI Agent) is something that can help. Below, find the top contact reasons for food and beverage companies in 2025.
According to Gorgias proprietary data, the top reason customers reach out to brands in the food and beverage industry is to cancel a subscription (13%) followed by order status questions (9.1%).
Contact Reason |
% of Tickets |
|---|---|
🍽️ Subscription cancellation |
13% |
🚚 Order status (WISMO) |
9.1% |
❌ Order cancellation |
6.5% |
🥫 Product details |
5.7% |
🧃 Product availability |
4.1% |
⭐ Positive feedback |
3.9% |
Because product detail queries represent 5.7% of contact reasons for the food and beverage industry, the more information you provide on your product pages, the better.
Include things like calorie content, nutritional information, and all ingredients.
For example, ready-to-heat meal company The Dinner Ladies includes a dropdown menu on each product page for further reading. Categories include serving instructions, a full ingredient list, allergens, nutritional information, and even a handy “size guide” that shows how many people the meal serves.

FAQ pages make up the information hub of your website. They exist to provide customers with a way to get their questions answered without reaching out to you.
This includes information like how food should be stored, how long its shelf life is, delivery range, and serving instructions. FAQs can even direct customers toward finding out where their order is and what its status is.

In the context of BFCM, FAQs are all about deflecting repetitive questions away from your team and assisting shoppers in finding what they need faster.
That’s the strategy for German supplement brand mybacs.
“Our focus is to improve automations to make it easier for customers to self-handle their requests. This goes hand in hand with making our FAQs more comprehensive to give customers all the information they need,” says Alexander Grassmann, its Co-Founder & COO.
As you contemplate what to add to your FAQ page, remember that more information is usually better. That’s the approach Everyday Dose takes, answering even hyper-specific questions like, “Will it break my fast?” or “Do I have to use milk?”

While the FAQs you choose to add will be specific to your products, peruse the top-notch food and bev FAQ pages below.
Time for some FAQ inspo:
AI Agents and AI-powered Shopping Assistants are easy to set up and are extremely effective in handling customer interactions––especially during BFCM.
“I told our team we were going to onboard Gorgias AI Agent for BFCM, so a good portion of tickets would be handled automatically,” says Ron Shah, CEO and Co-founder at Obvi. “There was a huge sigh of relief knowing that customers were going to be taken care of.”
And, they’re getting smarter. AI Agent’s CSAT is just 0.6 points shy of human agents’ average CSAT score.

Here are the specific responses and use cases we recommend automating:
Get your checklist here: How to prep for peak season: BFCM automation checklist
With high price reductions often comes faster-than-usual sell out times. By offering transparency around item quantities, you can avoid frustrated or upset customers.
For example, you could show how many items are left under a certain threshold (e.g. “Only 10 items left”), or, like Rebel Cheese does, mention whether items have sold out in the past.

You could also set up presales, give people the option to add themselves to a waitlist, and provide early access to VIP shoppers.
Give shoppers a heads up whether they’ll be able to cancel an order once placed, and what your refund policies are.
For example, cookware brand Misen follows its order confirmation email with a “change or cancel within one hour” email that provides a handy link to do so.

Your refund policies and order cancellations should live within an FAQ and in the footer of your website.
Include how-to information on your website within your FAQs, on your blog, or as a standalone webpage. That might be sharing how to use a product, how to cook with it, or how to prepare it. This can prevent customers from asking questions like, “how do you use this?” or “how do I cook this?” or “what can I use this with?” etc.
For example, Purity Coffee created a full brewing guide with illustrations:

Similarly, for its unique preseasoned carbon steel pan, Misen lists out care instructions:

And for those who want to understand the level of prep and cooking time involved, The Dinner Ladies feature cooking instructions on each product page.

Interactive quizzes, buying guides, and gift guides can help ensure shoppers choose the right items for them––without contacting you first.
For example, Trade Coffee Co created a quiz to help first timers find their perfect coffee match:

The more information you can share with customers upfront, the better. That will leave your team time to tackle the heady stuff.
If you’re looking for an AI-assist this season, check out Gorgias’s suite of products like AI Agent and Shopping Assistant.
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TL;DR:
Conversational AI changes how ecommerce brands interact with customers by enabling natural, human-like conversations at scale, helping reduce customer churn.
Instead of forcing shoppers through rigid menus or making them wait for support, conversational AI understands questions, detects intent, and delivers instant, personalized responses.
This technology powers everything from customer service chatbots to voice assistants, helping brands automate repetitive tasks while maintaining the personal touch customers expect.
For ecommerce specifically, it means handling order inquiries, providing product recommendations, and recovering abandoned carts — all without adding headcount.
Conversational AI is a type of artificial intelligence that allows computers to understand, process, and respond to human language through natural, two-way conversations. This means your customers can ask questions in their own words and get helpful answers that feel like they're talking to a real person.
Unlike basic chatbots that only recognize specific keywords, conversational AI actually understands what your customers mean. It can handle typos, slang, and complex questions that have multiple parts. The AI learns from every conversation, getting better at helping your customers over time.
Think of it as having a super-smart team member who never sleeps, never gets frustrated, and remembers every detail about your products and policies. This AI team member can chat with customers on your website, answer questions through social media, or even handle phone calls.
Conversational AI works because several smart technologies team up to understand and respond to your customers. Each piece has a specific job in making conversations feel natural and helpful.
Natural Language Processing (NLP) is the foundation that breaks down human language into pieces a computer can understand. This means when a customer types "Where's my order?" the AI can identify the important words and grammar structure.
Natural Language Understanding (NLU) figures out what the customer actually wants. This is the smart part that realizes "Where's my order?" means the customer wants to track a shipment, even if they phrase it differently like "I need to check my package status."
Natural Language Generation (NLG) creates responses that sound human and helpful. Instead of robotic answers, it crafts replies that match your brand's voice and provide exactly what the customer needs to know.
The dialog manager keeps track of the entire conversation. This means if a customer asks a follow-up question, the AI remembers what you were just talking about and can give a relevant answer.
Your knowledge base stores all the information the AI needs to help customers. This includes your return policy, product details, shipping information, and any other facts your team would use to answer questions.
Conversational AI follows a simple three-step process that happens in seconds. Understanding this process helps you see why it's so much more powerful than old-school chatbots.
When a customer sends a message or asks a question, the AI first needs to understand what they're saying. For text messages from chat, email, or social media, the system breaks down the sentence into individual words and analyzes the grammar.
For voice interactions like phone calls, the AI uses speech recognition to turn spoken words into text first. Modern systems handle different accents, background noise, and natural speech patterns without missing a beat.
Once the AI has the customer's words, it needs to figure out what they actually want. The system looks for the customer's intent — their goal or what they're trying to accomplish.
For example, when someone asks "Can I return this sweater I bought last week?" the AI identifies the intent as wanting to make a return. It also pulls out important details like the product type and timeframe.
The AI also uses context from earlier in the conversation. If the customer mentioned their order number earlier, the AI remembers it and can use that information to help with the return request.
After understanding what the customer wants, the AI creates a helpful response. It might pull information from your knowledge base, personalize the answer with the customer's specific details, or generate a completely new response using generative AI.
The system also checks how confident it is in its answer. If the AI isn't sure about something or if the topic is too complex, it knows to hand the conversation over to one of your human agents.
Different types of conversational AI work better for different situations in your ecommerce business. Understanding these types helps you choose the right solution for your customers and team.
Chatbots are the most common type you'll see on websites and messaging apps. Early chatbots followed strict scripts — if a customer's question didn't match the script exactly, the bot would get confused and give unhelpful answers.
Modern AI-powered chatbots understand natural language and can handle much more complex conversations. The best systems combine both approaches: using simple rules for straightforward questions and AI for everything else.
These chatbots work great for answering common questions about shipping, returns, and product details. They can also help customers find the right products or guide them through your checkout process.
Voice assistants bring conversational AI to phone support and other voice channels. These aren't the old phone trees that made customers press numbers to navigate menus.
Instead, customers can speak naturally and get helpful answers right away. Voice assistants can look up order information, explain your return policy, or even process simple requests like address changes.
This works especially well for customers who prefer calling over typing, or when they need help while their hands are busy.
Read more: How Cornbread Hemp reached a 13.6% phone conversion rate with Gorgias Voice
AI agents are the most advanced type of conversational AI. Unlike chatbots that mainly provide information, AI agents can actually take action on behalf of customers.
These systems connect to your other business tools like Shopify, your shipping software, or your returns platform. This means they can do things like:
Copilots work alongside your human agents, suggesting responses and pulling up customer information to help resolve issues faster.
Read more: How AI Agent works & gathers data
Conversational AI delivers real business results for ecommerce brands. The benefits go beyond just making your support team more efficient — though that's certainly part of it.
24/7 availability means you never miss a sale or support opportunity. Customers can get help at 2 a.m. or during holidays when your team is offline. This is especially valuable for international customers in different time zones.
Instant responses prevent cart abandonment and customer frustration, improving first contact resolution. When someone has a question about sizing or shipping, they get an answer immediately instead of waiting hours or days for an email response.
Personalized interactions at scale drive higher average order values. The AI can recommend products based on what customers are browsing, their purchase history, and their preferences, just like your best salesperson would.
Cost efficiency comes from handling repetitive questions automatically. Your human agents can focus on complex issues, VIP customers, and revenue-generating activities instead of answering the same shipping questions over and over.
Multilingual support helps you serve global customers without hiring native speakers for every language. The AI can communicate in dozens of languages, opening up new markets for your business.
Certain moments in the shopping experience create the biggest opportunities for conversational AI to drive results. Focus on these high-impact use cases first.
Pre-purchase questions are your biggest conversion opportunity. When someone is looking at a product but hasn't bought yet, quick answers about sizing, materials, or compatibility can close the sale. The AI can also suggest complementary products or highlight features the customer might have missed.
Order tracking makes up the largest volume of support tickets for most ecommerce brands. Customers want to know where their package is, when it will arrive, and what to do if there's a delay. AI handles these WISMO requests instantly by pulling real-time tracking information.
Returns and exchanges can be complex, but AI excels at the initial screening. It can check if an item is eligible for return, explain your policy, and start the return process. For straightforward returns, customers never need to wait for human help.
Cart recovery works best when it's immediate and personal. AI can detect when someone abandons their cart and reach out through chat or email with personalized messages, discount offers, or answers to common concerns that prevent purchases.
Post-purchase support keeps customers happy after they buy. The AI can send order confirmations, provide care instructions, suggest related products, and handle simple issues like address changes.
Getting started with conversational AI doesn't require a complete overhaul of your systems. The key is starting with clear goals and building your capabilities over time.
The best automation opportunities are found in your tickets. Look for questions that come up repeatedly and have straightforward answers. Common examples include order status, return policies, and basic product information.
Set realistic goals for your first phase. You might aim to automate 30% of your tickets or reduce average response time by half. Track metrics like:
Not all conversational AI platforms understand ecommerce needs. Look for a platform that integrates directly with Shopify and your other business tools. This connection is essential for pulling real-time order data, customer history, and product information.
Your platform should come with pre-built actions for common ecommerce tasks like order lookups, return processing, and subscription management. This saves months of custom development work.
Make sure you can control the AI's behavior through clear guidance and rules. You need to be able to set your brand voice, define when to escalate to humans, and update the AI's knowledge as your business changes.
Start your implementation by connecting your Shopify store to give the AI access to order and customer data. Don’t forget to integrate the rest of your tech stack like shipping software, returns platforms, and loyalty programs.
Launch with a few core use cases like order tracking and basic product questions. Monitor the AI's performance closely and gather feedback from both customers and your support team. Use this data to refine the AI's responses and gradually expand its capabilities.
The best approach is iterative — start small, learn what works, and build from there.
While conversational AI offers significant benefits, you need to be aware of potential challenges and plan for them from the start.
Accuracy concerns arise when AI systems provide incorrect information or "hallucinate" facts that aren't true. Prevent this by using platforms that ground responses in your verified knowledge base and product data rather than generating answers from scratch.
Brand voice consistency becomes critical when AI represents your brand to customers. Set clear guidelines for tone, style, and messaging. Test the AI's responses regularly to ensure they align with how your human team would handle similar situations.
Data privacy requires careful attention since conversational AI handles sensitive customer information. Choose platforms with strong security measures, data encryption, and compliance with regulations like GDPR. Look for features like automatic removal of personal information from conversation logs.
Over-automation can frustrate customers when complex issues require human empathy and problem-solving. Design clear escalation paths so customers can easily reach human agents when needed. Train your AI to recognize when a situation is beyond its capabilities.
Integration complexity can slow down implementation if your chosen platform doesn't work well with your existing tools. This is why choosing an ecommerce-focused platform with pre-built integrations is so important.
The brands winning with conversational AI start with clear goals, choose the right platform, and iterate based on real performance data. They don't try to automate everything at once. They focus on high-impact use cases that deliver real results.
Ready to see how conversational AI can transform your ecommerce support and sales? Book a demo with Gorgias — built specifically for ecommerce brands.
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TL;DR:
As holiday season support volumes spike and teams lean on AI to keep up, one frustration keeps surfacing, our Help Center has the answers—so why can’t AI find them?
The truth is, AI can’t help customers if it can’t understand your Help Center. Most large language models (LLMs), including Gorgias AI Agent, don’t ignore your existing docs, they just struggle to find clear, structured answers inside them.
The good news is you don’t need to rebuild your Help Center or overhaul your content. You simply need to format it in a way that’s easy for both people and AI to read.
We’ll break down how AI Agent reads your Help Center, finds answers, and why small formatting changes can help it respond faster and more accurately, so your team spends less time on escalations.
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Before you start rewriting your Help Center, it helps to understand how AI Agent actually reads and uses it.
Think of it like a three-step process that mirrors how a trained support rep thinks through a ticket.
Your Help Center is AI Agent’s brain. AI Agent uses your Help Center to pull facts, policies, and instructions it needs to respond to customers accurately. If your articles are clearly structured and easy to scan, AI Agent can find what it needs fast. If not, it hesitates or escalates.
Think of Guidance as AI Agent’s decision layer. What should AI Agent do when someone asks for a refund? What about when they ask for a discount? Guidance helps AI Agent provide accurate answers or hand over to a human by following an “if/when/then” framework.
Finally, AI Agent uses a combination of your help docs and Guidance to respond to customers, and if enabled, perform an Action on their behalf—whether that’s changing a shipping address or canceling an order altogether.
Here’s what that looks like in practice:

This structure removes guesswork for both your AI and your customers. The clearer your docs are about when something applies and what happens next, the more accurate and human your automated responses will feel.
A Help Center written for both people and AI Agent:
Our data shows that most AI escalations happen for a simple reason––your Help Center doesn’t clearly answer the question your customer is asking.
That’s not a failure of AI. It’s a content issue. When articles are vague, outdated, or missing key details, AI Agent can’t confidently respond, so it passes the ticket to a human.
Here are the top 10 topics that trigger escalations most often:
Rank |
Ticket Topic |
% of Escalations |
|---|---|---|
1 |
Order status |
12.4% |
2 |
Return request |
7.9% |
3 |
Order cancellation |
6.1% |
4 |
Product - quality issues |
5.9% |
5 |
Missing item |
4.6% |
6 |
Subscription cancellation |
4.4% |
7 |
Order refund |
4.1% |
8 |
Product details |
3.5% |
9 |
Return status |
3.3% |
10 |
Order delivered but not received |
3.1% |
Each of these topics needs a dedicated, clearly structured Help Doc that uses keywords customers are likely to search and spells out specific conditions.
Here’s how to strengthen each one:
Start by improving these 10 articles first. Together, they account for nearly half of all AI Agent escalations. The clearer your Help Center is on these topics, the fewer tickets your team will ever see, and the faster your AI will resolve the rest.
Once you know how AI Agent reads your content, the next step is formatting your help docs so it can easily understand and use them.
The goal isn’t to rewrite everything, it’s to make your articles more structured, scannable, and logic-friendly.
Here’s how.
Both humans and large language models read hierarchically. If your article runs together in one long block of text, key answers get buried.
Break articles into clear sections and subheadings (H2s, H3s) for each scenario or condition. Use short paragraphs, bullets, and numbered lists to keep things readable.
Example:
How to Track Your Order
A structured layout helps both AI and shoppers find the right step faster, without confusion or escalation.
AI Agent learns best when your Help Docs clearly define what happens under specific conditions. Think of it like writing directions for a flowchart.
Example:
This logic helps AI know what to do and how to explain the answer clearly to the customer.
Customers don’t always use the same words you do, and neither do LLMs. If your docs treat “cancel,” “stop,” and “pause” as interchangeable, AI Agent might return the wrong answer.
Define each term clearly in your Help Center and add small keyword variations (“cancel subscription,” “end plan,” “pause delivery”) so the AI can recognize related requests.
AI Agent follows links just like a human agent. If your doc ends abruptly, it can’t guide the customer any further.
Always finish articles with an explicit next step, like linking to:
Example: “If your return meets our policy, request your return label here.”
That extra step keeps the conversation moving and prevents unnecessary escalations.
AI tools prioritize structure and wording when learning from your Help Center—not emotional tone.
Phrases like “Don’t worry!” or “We’ve got you!” add noise without clarity.
Instead, use simple, action-driven sentences that tell the customer exactly what to do:
A consistent tone keeps your Help Center professional, helps AI deliver reliable responses, and creates a smoother experience for customers.
You don’t need hundreds of articles or complex workflows to make your Help Center AI-ready. But you do need clarity, structure, and consistency. These Gorgias customers show how it’s done.
Little Words Project keeps things refreshingly straightforward. Their Help Center uses short paragraphs, descriptive headers, and tightly scoped articles that focus on a single intent, like returns, shipping, or product care.
That makes it easy for AI Agent to scan the page, pull out the right facts, and return accurate answers on the first try.
Their tone stays friendly and on-brand, but the structure is what shines. Every article flows from question → answer → next step. It’s a minimalist approach, and it works. Both for customers and the AI reading alongside them.

Customer education is at the heart of Dr. Bronner’s mission. Their customers often ask detailed questions about product ingredients, packaging, and certifications. With Gorgias, Emily and her team were able to build a robust Help Center that helped to proactively give this information.
The Help Center doesn't just provide information. The integration of interactive Flows, Order Management, and a Contact Form automation allowed Dr. Bronner’s to handle routine inquiries—such as order statuses—quickly and efficiently. These kinds of interactive elements are all possible out-of-the-box, no IT support needed.


When Ekster switched to Gorgias, the team wanted to make their Help Center work smarter. By writing clear, structured articles for common questions like order tracking, returns, and product details, they gave both customers and AI Agent the information needed to resolve issues instantly.
"Our previous Help Center solution was the worst. I hated it. Then I saw Gorgias’s Help Center features, and how the Article Recommendations could answer shoppers’ questions instantly, and I loved it. I thought: this is just what we need." —Shauna Cleary, Head of Ecommerce at Ekster
The results followed fast. With well-organized Help Center content and automation built around it, Ekster was able to scale support without expanding the team.
“With all the automations we’ve set up in Gorgias, and because our team in Buenos Aires has ramped up, we didn’t have to rehire any extra agents.” —Shauna Cleary, Head of Ecommerce at Ekster
Learn more: How Ekster used automation to cover the workload of 4 agents
Rowan’s Help Center is a great example of how clear structure can do the heavy lifting. Their FAQs are grouped into simple categories like piercing, shipping, returns, and aftercare, so readers and AI Agent can jump straight to the right topic without digging.
For LLMs, that kind of consistency reduces guesswork. For customers, it creates a smooth, reassuring self-service experience.

TUSHY proves you can maintain personality and structure. Their Help Center articles use clear headings, direct language, and brand-consistent tone. It makes it easy for AI Agent to give accurate, on-brand responses.

“Too often, a great interaction is diminished when a customer feels reduced to just another transaction. With AI, we let the tech handle the selling, unabashedly, if needed, so our future customers can ask anything, even the questions they might be too shy to bring up with a human. In the end, everybody wins!" —Ren Fuller-Wasserman, Senior Director of Customer Experience at TUSHY
Ready to put your Help Center to the test? Use this five-point checklist to make sure your content is easy for both customers and AI to navigate.
Break up long text blocks and use descriptive headers (H2s, H3s) so readers and AI Agent can instantly find the right section.
Spell out what happens in each scenario. This logic helps AI Agent decide the right next step without second-guessing.
Make sure your Help Center includes complete, structured articles for high-volume issues like order status, returns, and refunds.
Close every piece with a call to action, like a form, related article, or support link, so neither AI nor customers hit a dead end.
Use direct, predictable phrasing. Avoid filler like “Don’t worry!” and focus on steps customers can actually take.
By tweaking structure instead of your content, it’s easier to turn your Help Center into a self-service powerhouse for both customers and your AI Agent.
Your Help Center already holds the answers your customers need. Now it’s time to make sure AI can find them. A few small tweaks to structure and phrasing can turn your existing content into a powerful, AI-ready knowledge base.
If you’re not sure where to start, review your Help Center with your Gorgias rep or CX team. They can help you identify quick wins and show you how AI Agent pulls information from your articles.
Remember: AI Agent gets smarter with every structured doc you publish.
Ready to optimize your Help Center for faster, more accurate support? Book a demo today.
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Customer service agents are front and center when they provide customers with outstanding support. But once you pull back the curtains, you’ll find the support operations team behind the scenes supporting conversations, tools, and more.
Like backstage managers, a customer support operations team identifies opportunities for your support team to be more efficient while keeping both your company and customers happy.
I’m Bri Christiano, the Director of Customer Support at Gorgias, and I know first-hand how hectic it can be to perfect your customer service processes. We'll go through how a support operation team functions, the benefits, how to build the team including key roles.
Customer support operations oversees the technical, operational, and organizational parts of customer support. As a distinct team, they support the customer service team, including the representatives and managers.
You may think, but isn’t that what customer service managers are for?
Not quite.
Customer support managers are on the frontline with agents and ensure the operations run smoothly. A support ops team member enables the frontline team to do their best work.
A support operations team constructs the blueprint that makes your company’s customer service processes run more efficiently while hitting your business targets. Some common roles on a support ops team include managers, analysts, developers or product managers, trainers, and specialists.
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Investing in a support operations team is a step toward improving the customer experience, which can lead to a 2-7% increase in sales revenue.
Below we'll explore the advantages of establishing a support ops team, show you the tell-tale signs of when it's time to invest, and provide an overview of each role and function.
When you enlist the help of a strategic support ops team, you gain:
A full-fledged support ops team includes a manager, developer, analyst, trainer, and specialist. However, not all organizations have the budget for every support ops role. In that case, you’ll want to find candidates who can take on the responsibilities of multiple roles.
Below, we’ve ranked each support ops role based on your company’s hiring budget.
Hiring budget: Low
Customer operations specialists provide support to customer service teams by managing technical aspects, including assisting with setup, analyzing metrics, and reporting, while also lending a hand to enhance customer experience.
Responsibilities:
Hiring budget: Low
A customer support operations trainer is responsible for educating and preparing customer service representatives to effectively handle inquiries, issues, and interactions with customers.
Responsibilities:
Hiring budget: Medium
A customer support operations analyst analyzes data and metrics related to customer interactions and customer service processes to identify trends and improve the overall quality of customer support.
Responsibilities:
Hiring budget: High
A customer support operations developer (also known as a product manager) creates and maintains the systems, tools, and processes used to enhance and streamline customer support operations.
Responsibilities:
Hiring budget: High
A support ops manager oversees and coordinates the operational aspects of customer support teams.
Responsibilities:
There are a few signs that indicate you’re ready to expand and join forces with a support ops team.
As your business grows, new roles start to emerge to accommodate your team’s size and customer base. This may look like managers and agents finding themselves taking on more operational tasks like leading training sessions, tool workshops, or focusing on data to increase profits.
If these duties are taking away time for you to do your regular customer service responsibilities (like resolving customer issues or supervising your agents), it’s time to invest in support ops.
If support leads are located in various time zones, it’s harder for your team to get on the same page. For instance, one team lead may prioritize using brand voice more than another lead does. This results in inconsistent and confusing brand messaging.
To align your team leads, you’ll need one source of information to standardize your processes — and that can be fulfilled by a support ops manager.
If your workflow fails to cover all your customer inquiries, it may be time to redesign your processes. Unfortunately, building an efficient workflow from scratch takes time that managers typically don’t have. Support ops is exactly the team you need to ideate, test, and deploy these workflows.
Rushing to fill positions will only harm your brand and customers in the long run. When hiring for customer service, use a proactive hiring process. This means taking the time to take stock of your needs and resources, and being selective about your candidates.
Here are three ways to be intentional with the hiring process:
🧠 Learn more: Why proactive customer service is essential for growing your business
A customer service policy is a document containing a set of guidelines, rules, and standards for customer service teams. Its goal is to help agents handle day-to-day tasks and set benchmarks for great customer service.
These documents are essentially guides for how the customer service team should work. Agents can use them when they onboard or need a refresher. They can even be adapted into customer-facing policies.
📚 Related reading: How to build an FAQ page + 7 examples
A service level agreement (SLA) is a contract that outlines the minimum acceptable service between one party and another. In your case, the ops team and the support team. An SLA typically covers topics like SLA best practices, including service availability and average response times.
Here’s how to create one:
Elevating the quality of training for the support team significantly increases customer satisfaction. Improvement is key: 40% of customers claim that they stop doing business with companies who have poor customer service.
Some ideas for useful training activities:
When you put these strategies together, you empower your ops team with the expertise and resources needed to excel in their roles, allowing them to pass the knowledge on to your customer service reps.

Agents shouldn’t have to spend their time crafting templates — that’s a job for the support ops team. With templates, agents can speed up resolution times and increase customer satisfaction scores (CSAT).
Here are the key templates to prep for customer service agents:
On Gorgias, you can quickly create a library of templates with Macros. Whenever you need to send a canned response, just click the template or Macro you need and you’re done — no need to type anything out.
🧠 Learn more: 25+ customer service scripts inspired by top ecommerce brands
An unorganized inbox can ruin customer experience and risk your highest-value customers. By implementing a system that strategically tags and prioritizes tickets, the customer support team can focus on delivering exceptional customer experiences.

To create a library of useful tags, ask yourself these questions:
Based on these questions, you can start creating Tags based on the most relevant customer query topics, ticket urgency, high-value vs. low-value tickets, and response urgency.

Automating parts of the customer service workflow can be a game-changer. Work with the customer service team to identify the repetitive tasks in their day that they can go without and offload to automation.

On Gorgias, you can create Rules to…
Check out our customer service automation guide for more tips on which automations can speed up your support.
Princess Polly, the leading Australian fashion DTC brand, is an expert when it comes to establishing streamlined customer service operations.
With their priorities set on comprehensive metrics and a constant feedback loop, they entrusted Gorgias to do the heavy lifting. Immediately after using Gorgias, Princess Polly managed to increase their efficiency by 40%, decrease resolution time by 80%, and decrease first response time by 95%.
📚 Read more: Princess Polly improves their CX team efficiency by benefiting from Gorgias-Shopify integration
Whether you're starting your support ops team from scratch or expanding it, Gorgias can be there to build it with you. With powerful features like Macros for automating routine tasks and detailed support performance and revenue statistics at your fingertips, Gorgias empowers your support ops team to work smarter, not harder. Unlock a new level of productivity by booking a Gorgias demo today.
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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.

It's tough to point to a single most important metric in customer service. But if we had to, first response time would be a top contender.
First response time (FRT) is the time between a customer asking a question and your team’s initial response. When your FRT is too long, customers are left wondering whether you even received their question, let alone will get them an answer.
"Of course, the best-case scenario is quickly answering the customer's question (or automating the answer). But even if you can't solve the question right away, letting the customer know you received their inquiry — and that it didn't get sent into the void — is great for customer confidence and satisfaction.” —Bri Christiano, Director of Customer Support at Gorgias
Let’s dive into first response time to understand why it’s so make-or-break for your team. Then, we’ll unpack best practices you can use to lower FRT for your team, plus how to use this KPI alongside other metrics to support your overall customer service strategy.
A quick first response time is a key way to build customer trust, letting customers know right away that you are taking their inquiry seriously and that you will resolve the issue as fast as possible.

Here are a few reasons a strong FRT improves your customer experience and your support team’s impact on the business:
According to our research, 90% of U.S. customers say an immediate customer service response is “important” or “very important.” Plus, 60% of people who need support want it in 10 minutes or less.
In other words, near-instant FRTs are important to 90% of shoppers — and after 10 minutes, you’re disappointing over half of your shoppers.
First-response time is especially important for pre-sales support questions, like "Will this arrive before Christmas?" or "Which size is right for me?". Any customer reaching out about pre-sales support likely needs their questions answered before they commit to click checkout, or before they hop over to Amazon to buy it.
A speedy response is just the thing to give the shopper the information they need to make a confident purchase decision and boost their trust in your brand — two factors that can contribute to high conversion rates.
First response time also impacts other important support metrics, including ones that impact your revenue:
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Luckily, you don’t have to be a math wiz to find your brand’s first response time.
Start by simply looking at your tickets. Compare the time the ticket came in with the time a support agent responded. That time difference is your FRT.

For example, if a ticket comes in at 8 am Monday, and an agent responds at 8 am Tuesday, your response time is 1 day.
You can also keep track of first response times across a certain period, or from a certain agent, to understand the average response time. Simply collect response times over a certain period, then, divide that number by the total number of resolved tickets during that same time frame.
The equation looks like this:
Total first response times during chosen time period / total # of resolved tickets during chosen time period = Average first response time

Here’s what calculating FRT averages looks like, using real numbers: 85,000 seconds / 900 resolved tickets = 94.4 seconds (average first response time)
That means that, on average, your agents are able to respond to customer tickets within 94.4 seconds of receiving a request (for that period).
If math isn’t your thing, don’t sweat it. Most helpdesks these days automatically calculate and report on average first response time for you.
Gorgias calculates important metrics, like first response time, automatically. Plus, you can slice and dice the information to understand FRT by factors like:

This way, you’re never left in the dark about how your support strategy is performing.
Customers want the option to get in touch with your customer service team on the channel of their choice. Even more, Salesforce reports that 74% of shoppers want a variety of channels to choose from.
If you’ve adopted an omnichannel support strategy, keep in mind different channels have varying response times.
We’ve broken down a few of the most popular channels to give you an idea of what to expect — and what response times Gorgias customers achieve, on average.

Gorgias customers see an average email FRT of 7 minutes and 57 seconds.
Gorgias customers see an average chat FRT of 7 minutes and 54 seconds.
Gorgias customers see an average SMS first response time of 59 seconds.
Gorgias customers see a slightly different average FRT depending on the social media platform.
Automation is preferable to offer a quick response to your customers. Either an instant automated answer to their question, or an automation to let them know you’re on the way.
Reducing your FRT is a great way to optimize for customer satisfaction. Luckily, there are a few tactics you can take now to reduce FRT that also reduce the load on your support team.
Automating responses to repetitive customer questions has a two-fold benefit:
Gorgias Automate deflects up to 30% of tickets (meaning 30% of customer issues were resolved without human interaction.) If 30% of your helpdesk is cleared, that means you can get to the leftover tickets faster.
Two great features in Automate are Flows and Article Recommendations, which provide personalized, automated answers to customer FAQs.
Both features give customers a 0-second first response time, but these interactions don’t impact your measured FRT since no ticket is created.
You can then track how much time and money automation saves your customers in first response time:

Take a look at how skincare brand Topicals implemented Flows to help shoppers navigate their product offerings. So, when a customer asks, “How do I find the right face wash?” Flows will ask a series of questions and offer a personalized recommendation based on the customer’s answers.

Even if you can’t use automation to answer a customer question, it can let customers know their message has been received and that an agent is on their way to help.
Leaving customers in the dark about when they’ll receive a response is likely to make any customer anxious. An automated response not only lowers your FRT by responding immediately, but it also quells your customers’ fears that their questions will not be answered.
"Offer an automated message to fire almost instantly so customers know their question was received and someone will be looking into it shortly. Fire it off regardless of channel — the only exception being if your human agent happens to be available to respond."
—Bri Christiano, Director of Customer Support at Gorgias
Berkey Filters built a Rule using Gorgias to automatically reply to SMS messages as they came in.

In their message, Berkey Filters starts by thanking the customer for reaching out. It also sets expectations by sharing customer support’s hours of operation. That way, if a customer messages outside of operating hours, they aren’t left waiting for a response.
By adding in an "If the message from agent is false" condition, it also protects you from accidentally firing off this response if a live agent has already responded.
This is only one example of how to use Rules, or Gorgias automations, to automatically reply to tickets. With Gorgias, you could set this up for any channel, or set up a Rule so that it only fires outside of your set business hours, on live chat, when your agents are away, and so much more.
Some tickets need a more immediate response than others. Angry or upset customers require ticket escalation to try and salvage the relationship and prevent negative reviews, returns, or customer churn.
Prioritizing your incoming tickets will help your agents lower FRT on tickets that need the fastest responses. They can respond to high-priority tickets first. Any other tickets that automation can’t cover can wait.

Instead of manually sorting your tickets day in and day out, Gorgias can automatically prioritize tickets as they come in.
Gorgias makes use of AI to analyze incoming tickets based on natural language processing (NLP). The platform also lets you create Rules to determine a ticket’s priority level. Then, it processes language on incoming tickets using the Rule you set in order to take an automatic action.

This is also where Gorgias’s deep integration with Shopify really shines. The integration lets you pull in customer information, like order number and order status, to help prioritize tickets.
For instance, you can prioritize cancellation requests from customers that placed an order in the last 24 hours, to avoid shipping products with the wrong shipping address. You could also prioritize messages from customers who have spent more than $100 (or any amount) from your store, to make sure your VIP customers are taken care of.
Email is notoriously one of the slowest customer support channels out there. The good news? This aligns with customer expectations: A customer who sends an email isn’t waiting at the computer for a response, whereas one who sends a live chat message probably is.
With all the faster options out there, don’t rely on email as your most prominent support channel. Deprioritize email by adding a live chat option, or by making your email address a little harder to find on your website. Consider also adding a robust Help Center and guiding shoppers toward self-service channels.
You can easily use email as a springboard to push customers to other, faster channels.
Berkey Filters does this by using an automated response to inform customers about faster options to connect with an agent. Plus, they share a link to the Help Center, so customers can see if they can find a solution to their problems themselves, without needing human interaction.

Customers were informed right away that they were placed in the email queue, but were offered the option of texting or joining a chat with a live agent to resolve their problem even faster.
One of the most time-saving tools you can give yourself and your team is templated responses, which help your agents avoid typing messages from scratch, or copy/pasting customer information.

At Gorgias, these templates are called Macros. These are canned responses you can use to populate answers to customer questions. You can also personalize these responses by pulling data from your Shopify account.
If you can't automate an answer, the Macro gives your agents a headstart so they aren't wasting time remembering what the right policy is, typing out a message from scratch, or manually copying/pasting the customer's information (like name or order number).
First response time isn’t a be-all, end-all KPI — it’s just one metric, best used in concert with others to get a broader understanding of how your team is performing.
Average resolution time (ART) is the amount of time it takes your customer support team to fully solve a customer’s problem and close the ticket.
Gorgias customers have an average resolution time of 1.67 hours.
Read our guide on resolution time to learn best practices to improve this metric for your brand.
The initial response time is vitally helpful to understand how quickly your agents can spring into action, but it’s your resolution time that speaks to how helpful your responses are.
If you have a great first response time but have unhelpful answers, or just go back and forth with a customer, your resolution time is going to suffer. Calculating both helps you make sure you're balancing speed (FRT) with quality answers that lead to a full Resolution (RT)
OLIPOP grew quickly and needed help from Gorgias to keep up with their exceptional customer support.
Gorgias helped them reduce Response Time by 88% and Resolution Time by 91%, which led to a 1,200% increase in revenue from customer support.
"We wanted to make sure customers can reach out to us via any platform and we'd have the ability to quickly answer it all in one place." —Eli Weiss, Director of CX, OLIPOP
📚 Related reading: How OLIPOP decreased their response time by 88% and resolution time by 91% with 25x ROI
Customer satisfaction score, or CSAT is an important metric to measure your customer base’s level of satisfaction with their shopping experience.
The more satisfied a customer is, the more likely they are to become a repeat shopper, refer friends, or leave a great review.
Using Gorgias, you can automatically send customer satisfaction surveys and track your scores over time. Learn more about our satisfaction survey and dashboard:

First response time is a metric that goes hand-in-hand with your CSAT.
If you slow response time, you can expect your CSAT to be similarly low. A customer who has to wait days for an email response, or several minutes on hold during a phone call is likely to have an unsatisfactory experience.
Decreasing your first reply times will inevitably increase customer satisfaction.
Read our Director of Support's guide to improving CSAT scores for more guidance.
Customer contact rate is a metric to measure the percentage of active customers in contact with your support team over a specified period.
Generally speaking, you want your customer contact rate to be low. A low rate means most customers are satisfied with their shopping experience and don’t require further support.
One tactic to lower your contact rate is to offer more self-service options, like a knowledge base or FAQ. That way, your customers can help themselves with frequently asked questions like “Where’s my order?” or “Do you accept returns?” Then, higher-priority tickets can be tackled by your reps.
While you want your first response time to be low, even better is reducing your contact rate.
That means your customers are running into fewer issues that would lead them to reach out to customer support in the first place. Or, that they turn to self-service resources when they do have an issue.
If your support agents have to answer every question by hand, or toggle between a dozen different tabs to respond to different challenges, your first-response time will always suffer.
A helpdesk like Gorgias has an immediate positive impact on your FRT because it collects messages from every channel, automatically responds to basic questions, and gives agents powerful tools to respond to messages as fast as possible.
Before implementing Gorgias, Timbuk2’s customer service team took, on average, 2 days to respond to customer inquiries. They knew they needed to centralize and automate their customer support — that’s where Gorgias came in.
Making the leap to Gorgias helped Timbuk2 streamline its support strategy, gaining a 96% faster response time and a nice 35% boost in revenue.
"Increased customer support should go hand in hand with revenue growth. We want to turn customer experience into a profit center and we have more opportunities to grow with Gorgias." —Joseph Piazza, Senior Customer Experience Manager, Timbuk2
Gorgias helps ecommerce companies improve their first response time, along with other key metrics, to build exceptional customer experiences that drive revenue.
Sign up for Gorgias or book a demo to start tracking and improving your first response time today!
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TL;DR:
Customer service isn't just a support function — it's a revenue driver. For ecommerce brands, every support interaction is an opportunity to build loyalty, increase cart value, and turn one-time buyers into repeat customers. Right now, every small business owner is experiencing the frustrations of rising customer acquisition costs, making retention more critical than ever. But scaling personalized service is hard when your team is stretched thin across email, chat, social media, and phone.
This guide covers the top benefits of customer service and how to measure its impact. We'll also explore how AI-powered tools like Gorgias help ecommerce teams deliver exceptional experiences without adding headcount.
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Customer service is the support you provide to customers before, during, and after they purchase from your brand. It's about answering questions, solving problems, and creating experiences that build trust and loyalty at every touchpoint.
In ecommerce, customer service spans the entire path a customer takes with your brand. Pre-purchase support helps hesitant shoppers make confident buying decisions. During purchase, it addresses checkout issues and payment problems. Post-purchase, it handles everything from shipping questions to returns and exchanges. The best customer service is omnichannel. It meets customers wherever they prefer to communicate, whether that's email, chat, social media, or SMS.
Great customer service includes both reactive support (responding to customer inquiries) and proactive support (anticipating and addressing issues before customers even ask). The role of customer service goes beyond just solving problems — it's about creating positive experiences that keep customers coming back.
Understanding what customer service is and why it matters is the first step. Let's explore how it directly impacts your bottom line.
These three terms often get used interchangeably, but they mean different things. Understanding the distinction helps you build a more effective strategy for each area.
Category |
Customer Service |
Customer Experience |
Customer Support |
|---|---|---|---|
Definition |
The assistance and guidance provided to customers throughout their journey with your brand |
The overall perception customers have of your brand based on all their interactions with you |
The technical help provided to solve specific customer problems or issues |
Scope |
Pre-sales guidance, purchase assistance, post-sales support, relationship building |
Every touchpoint: website navigation, product quality, shipping speed, support interactions, brand messaging |
Troubleshooting, technical issues, product problems, order issues |
Goal |
Build relationships, drive loyalty, and increase how much a customer spends over time |
Create a positive brand perception and an emotional connection with your customers |
Resolve specific issues quickly and efficiently |
Example Activities |
Product recommendations, answering questions, processing returns, proactive outreach |
Website design, product development, marketing campaigns, checkout flow, packaging |
Password resets, tracking down lost packages, fixing app bugs, processing refunds |
Key Metrics |
Customer satisfaction score (CSAT), customer retention rate, repeat purchase rate |
Net promoter score (NPS), customer effort score (CES), brand sentiment, overall satisfaction scores |
First contact resolution (FCR), resolution time, ticket volume, response time |
While customer support focuses on reactive problem-solving, customer service is broader and more proactive. Customer experience (CX) encompasses everything — it's the sum of all interactions a customer has with your brand. The importance of customer support lies in how it contributes to both service quality and overall experience.
The benefits of excellent customer service extend far beyond just keeping customers happy.
Retention means customers come back to buy again. Loyalty means they prefer your brand over competitors. When you solve problems quickly and treat customers well, you reduce churn rate and increase repeat purchases.
Customer acquisition costs (CAC) are rising across ecommerce. Keeping current customers costs much less than attracting new ones. Exceptional service turns satisfied customers into advocates who refer friends and family, reducing your dependence on expensive paid channels.
Brand reputation and trust are built one interaction at a time. Great service creates social proof through positive reviews and testimonials that influence new shoppers.
When potential customers see hundreds of five-star reviews highlighting helpful support teams, their brand perception shifts.
Competitive differentiation matters in crowded markets. When you sell products similar to competitors, exceptional service becomes your unique selling proposition. Customers will pay more and stay loyal to brands that treat them well.
Average order value (AOV) is the average amount customers spend per transaction. Support teams can increase AOV through strategic upselling and cross-selling. When agents offer helpful product recommendations, it increases cart value without feeling pushy.
Customer insights from support tickets are goldmines for product and marketing teams. Support feedback loops reveal pain points, common questions, and feature requests that drive product development. Your team hears directly from customers about what's working and what's not. This voice of customer data helps you make smarter business decisions — from tweaking product descriptions to fixing checkout issues. For example, if dozens of customers ask the same question about ingredient sourcing, that's valuable insight for your product pages.
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Modern customers expect to reach you on their preferred channels. Omnichannel support means meeting them where they are, whether that's email, chat, or social media.
The key is implementing channels based on your customer preferences and team capacity. Don't spread yourself too thin — it's better to excel on three channels than struggle across six.
Even the best support teams face recurring challenges. Here's how to tackle the most common ones:
Great customer service doesn't happen by accident. Here are proven practices that drive results:
Be proactive, not just reactive: Don't wait for customers to complain. Reach out when you spot potential issues like shipping delays. Proactive support prevents negative experiences and shows customers you're paying attention. Set up automated messages to notify customers of delays before they ask.
Use customer data to make conversations feel human. Reference past purchases, use their name, and tailor recommendations to their preferences to build stronger relationships.
Empower customers with Self-service: Build comprehensive FAQ pages and Help Centers that answer common questions. Self-service deflection reduces ticket volume while giving customers instant answers. Include searchable documentation and video tutorials where helpful.
Use automation for repetitive tasks: Automation handles routine work like order status updates and return confirmations. This frees agents to focus on complex issues requiring human judgment and active listening. Use Rules and Macros strategically.
Measure what matters: Track key metrics like CSAT, response time, and resolution rate. Set clear SLAs for different ticket types. Review metrics regularly to spot trends and improvement opportunities. Data drives better decisions.
Close the feedback loop: Collect customer feedback consistently, then act on it. Share insights with product and marketing teams. Continuous improvement comes from listening and iterating. Create a culture where customer input drives changes.
You can't improve what you don't measure. Tracking the right metrics helps you quantify the ROI of your support investments and identify areas for improvement.
For example, a leading ecommerce group increased revenue and improved profitability by using advanced data analytics to measure and optimize their customer experience. Use these metrics together to get a complete picture of performance rather than focusing on just one.
Looking back on everything we've covered, great customer service drives retention, reduces costs, and creates competitive advantages that directly impact your bottom line. But delivering exceptional experiences at scale is impossible without the right tools.
That's where Gorgias comes in. Built exclusively for ecommerce, Gorgias equips online stores with powerful tools to enhance customer interactions and drive revenue growth.
With deep Shopify integration, omnichannel support, and the new AI Agent, you can automate inquiries. This lets you scale personalized service without adding headcount.
I encourage you to see how Gorgias can transform your support team into a revenue driver. Book a demo to learn how Love Wellness and thousands of other ecommerce brands use Gorgias to turn customer service into their competitive advantage.
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At my company, every single employee — from office manager to the CEO — must create a Gorgias account and spend 20+ hours answering customer support tickets. It’s an unusual program, but it’s incredibly impactful.
My name’s Amanda Kwasniewicz, VP of Customer Experience at Love Wellness, a brand dedicated to helping women improve their gut, brain, and vaginal health.

When everyone interacts with customers and learns how customer support operates, we become a more customer-centric, collaborative company. Below, I’ll share more details about this program so you can build something similar at your company.
In my eyes, this program truly adds so much value back to the company. It always generates insights and improvements for the CX team (as well as other departments). Plus, it facilitates ongoing collaboration between support and other departments, long after the program ends.
Here are some specific benefits, each illustrated by real-life wins, to help you understand why this program is so impactful:
Customer support was never disrespected. But this program helped the entire company understand how much we’re responsible for. Plus, it gives everyone a better idea of how our work impacts the rest of the business (and vice versa).
At many companies, all kinds of decisions are made in silos that impact customer experience, and a handful of people on the CX team are left to clean up the mess. This program helps the rest of the company consider the downstream impact on the customer’s experience for whatever they’re working on — whether that’s updating the website, developing a product, or planning logistics.
In other words, it helps give CX a seat at the table and encourages everyone to think proactively about how their work will impact customers.
Getting all kinds of skill sets and perspectives into the helpdesk has sparked many smart improvements to the CX team’s processes. A couple of examples:
When other departments get into the helpdesk, they discover tons of ways their work impacts the customer. This program always sparks ideas for changes in other parts of the business to improve CX:
Once non-CX employees understand the value and processes of Support, they’re more likely to rope you into conversations and support your team down the road.
Here are a couple of examples from my experience:
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Getting non-CXers into the helpdesk and answering tickets requires customer service training and guidance. Especially since we’re pulling employees away from their roles, we need to make sure it’s an efficient and effective program.
Here’s how my team manages it:
Training new hires one at a time would be a big timesuck for my team. So instead, we train a group of new hires (or anyone else we missed in the past) once every few months or so. For us, groups of 6-8 work well — but adjust for the size of your team.
Onboarding is a 2-hour session run by me, where we cover the fundamentals of CX, the tools we use, and the processes they need to know to answer tickets. Here’s a checklist of what I cover:

During the last 30 minutes of onboarding, we give each employee their own Gorgias login and set them free to start answering emails. To make the inbox more digestible (and steer trainees away from complex emails), we set up a View with simple inquiries as a sort of training ground, in addition to adding them to a Training Team.
We prefer to manually add tickets to this view when the CX team stumbles across simple questions. But you could easily set up an auto-tag to send simple questions — like subscription renewals or requests to edit orders — to this View.
We also have a simple process for trainees to hand off tickets that become complicated to the CX team. They simply send the handoff Macro, which lets the customer know an answer is coming and automatically assigns the ticket to the CX team.

Once training is complete, the cohort is set free! The expectation is that everyone who participates in this program spends 20 hours on CX over a month.
How they choose to spend that 20 hours is choose-your-own-adventure style. They can answer 1-2 emails daily, for 3-4 days a week, to meet the 20-hour requirement. During lighter periods, they can also study past tickets or read FAQ content — anything that helps them better understand CX and how we communicate with customers.
While trainees self-guide their 20 hours, one member of the CX team is available to answer questions or jump in to provide support. We also schedule a 30-minute, 1-on-1 shadowing session so the trainee and the CXer can deep-dive on any topics that come up.
These 1-on-1 sessions are where we spark a lot of great ideas. Naturally, the trainee and the CXer learn more about one another’s departments and processes and find opportunities to collaborate or support one another.
The CXer that manages the program has a few additional responsibilities over the 4 weeks:
This program requires 20 hours from every employee, which is no small ask. If you’re excited about implementing something like this at your company, I recommend preparing a business case to convince your boss that it’s worth the investment.
Here are some tips as you prepare your case:
I was lucky that a previous boss had an operational background and understood how CX is deeply interconnected with other parts of the business. She was actually the one who suggested this program, and her executive support was essential to put the plan into action.
If possible, find someone with leadership status to champion this program. They can help convince whoever has the power to approve the program and get the rest of the company excited to participate.
Regardless of whether you’re trying to implement this program, I want to encourage you to frequently showcase the work of your CX team to executives and the rest of the company. It’s not often that CX gets a spotlight for their work — unless something is on fire. By showing how complex and impactful the team’s work is, you’ll boost team morale and get buy-in for out-of-the-box initiatives like this.
This program is great for your CX because you’ll get new ideas to improve processes and a trained staff of agents who can step in during busy periods. But the larger benefits — the ones to emphasize when building your case — are the cross-functional collaboration and improvements.
Be sure to underscore how this program orients the entire company to think about CX and adopt a more customer-centric mindset. Plus, share a few examples about how Marketing, Product, and other teams (like Logistics and Wholesale) could refine processes by understanding how their work overlaps with the CX team’s work.
A testimonial from someone with first-hand experience goes a long way — let this article be that testimonial! My anecdotes about the benefits of this program are 100% real, and I’m confident any company could see similar improvements.
Plus, you’re welcome to use my structure as a template to get started.
Most helpdesks charge per user seat, which makes this kind of program impossibly expensive. You’d have to pay for each account, limiting your ability to get additional help in a pinch or share CX insights from customer conversations with the rest of your team.
One of the (many!) reasons we chose Gorgias is because it allows you to have unlimited users, so every single person in the company can create an account, interact directly with customers, develop a great understanding of CX, and find ways to refine processes and implement customer feedback throughout the business.
If you haven’t yet, I strongly recommend chatting with the Gorgias team — it’s a no-brainer for any ecommerce brand looking to make their CX more effective and efficient.
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TL;DR:
Customer expectations are higher than ever. According to Intercom’s recent Customer Service Trends report, 83% of customer service teams are noticing an increase.
Most customers want an answer about their issues immediately, and without a hitch. That’s a big reason why you need to think strategically about how you communicate with customers and the customer service channels you invest in.
While it’s tempting to sprinkle your attention across a dozen different channels, consider choosing just a handful. That way, you can focus your efforts on resolving customer problems and can become an all-around more efficient team.
Let's dive into the most commonly used channels, like self-service, chatbots, and SMS messaging. Then, we’ll break down exactly how these channels work so you can make a sound investment for your support team.
A majority of shoppers these days expect to have their issues solved quickly, successfully, and in their channel of choice.
Salesforce reports that 78% of customers prefer to have access to a variety of engagement channels for support.
Ultimately, it’s up to you to find the proper channels that best suit your brand and audience demographics. That’s because customer service service channels aren’t one-size-fits-all — different audiences have different preferences. But, it’s helpful to understand basic channels and how they function so you can make an informed decision about where to invest your energy.
We’ll walk you through the 7 essential channels that most organizations use to support their shoppers, like self-service options, email, and SMS messaging.
A growing number of shoppers prefer self-service options, where they can quickly help themselves to solve their problems — no human interaction needed.
Research from Nice supports the trend to self-service options: 81% of surveyed consumers say they want brands to offer self service.
An added bonus for implementing self-service options? It frees up your team to focus on higher-priority, or more complex, tickets.
A help center, sometimes called a knowledge base, is an example of self-service in customer support. It’s designed to provide detailed information that helps customers answer simple questions, like “Do you ship to my area?”
This kind of self-service option can reduce ticket volume for your support agents.
For example, office furniture store Branch’s help center created using Gorgias, is like a one-stop shop to help customers solve common problems.

Branch’s help center has an extensive offering of resources, including detailed shipping and delivery information. It also includes informative articles dedicated solely to answering customer’s most frequently asked questions.
Help centers are a great starting point to power self-service support. Used in tandem with Gorgias’ Automate features, like Flows, your brand can become a support powerhouse.
If you’re not ready to create a comprehensive help center, you can start out with a simple FAQ page. Check out our free FAQ template generator to get started.
Read our guide on customer self-service to learn about indirect ways to boost customer satisfaction.
Shoppers expect a quick answer to their issues — and 90% of customers in the US agree that an immediate response from a brand is important.
One way to meet these rising customer expectations is to consider implementing both live chat and chatbots that work in tandem to provide a seamless experience.
This way, you can leverage live agents during working hours, then let the bots take over customer queries when it’s time for your reps to clock out.
Similarly, you can use a Flow via Gorgias to build in personalized, automated responses based on customer input. If the issue isn’t resolved by the bot, it can be automatically elevated to a live agent.
Live chat is one of the most preferred methods of communication for shoppers. So much so, that 86% would rather interact with a human over a bot.
The team at CROSSNET made use of live chat to quickly handle support tickets. Their efforts resulted in massive growth, including $450,00 in a single sale.
Weaving an automation option into your customer service strategy helps your team provide a seamless customer service experience, working 24/7 to answer customer tickets even after your reps have gone home.
Gorgias offers a few automation options that act as quick-response tools, like Quick Response Flows, Macros, and Rules, to help resolve tickets faster.
With Macros, you can build premade responses and set up Rules to that trigger them when a customer asks a common question, like “where’s my order?”

Email is one of the most tried-and-true methods to communicate with customers.
Unlike some of the other channels mentioned in this list, email support is an asynchronous method of communication. This is largely because a customer isn’t immediately connected to an agent or support resource.
But, that doesn’t mean you can relax on your response time. Treat an email like the first step before a shopper leaves a bad review. Take steps to thoroughly read their message and offer a thoughtful response to resolve the issue.
If an agent receives a customer service email from an angry customer, a great first step is to apologize right away.
From there, the agent can take steps to de-escalate the situation and offer a solution.
{{Customer First Name}},
Thanks so much for your feedback on {{Concern or issue they had with the brand or their experience}}.
We strive to provide an amazing experience for all of our customers, and sometimes we fall short of doing that. We sincerely apologize for the experience you’ve had with our brand.
As a token of our appreciation, we’d like to offer you {{Discount code, free gift, free shipping on next order; whatever aligns with your policy}}. Have a great day,
{{Current agent first name}}
Customer service SMS is quickly rising in the ranks as a preferred way for shoppers to get in touch with a brand.
One reason for messaging’s popularity may lie in the fast response times. Most customers expect to have a response to their message within 10 minutes.
Plus, a text message is convenient. Most people have mobile devices and they’re more willing to respond to a quick text in their day-to-day life. For some shoppers, it’s just easier to send a text than it is to find a contact-us page, or type up an email.
OLIPOP has seen an 88% decrease in response time since implementing SMS messaging — powered by Gorgias — in their customer support strategy.
"Don't treat SMS like email - talk to these folks like they're your friends. That's something that OLIPOP does via SMS really well." - Claire Goodill, Head of Partnerships, Postscript

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Reliable phone support is one of the most traditional forms of customer service channels out there. Voice support is one of the most powerful ways for support agents to foster empathy with customers.
This empathy can lead to positive support outcomes as well — letting agents earn customer trust and boosting customer satisfaction metrics, or CSAT.
“I've seen that a phone call can actually turn things around,” says Bri Christiano, Director of Customer Service at Gorgias. “Some people just need to be heard on the phone, especially people who are more used to having conversations over the phone. I've called angry customers, and if you let them speak and hear them out, and repeat back to them their frustrations, that alone will save that customer in the end.”
Gorgias’s customers prove time and time again that voice is a powerful tool: Our customers that use phones in their support strategy have an average Satisfaction score of 4.56 out of 5.
Phone support works really well when it’s integrated into your organization’s overall support strategy.
Try The World invested in Gorgias to help merge its customer contact channels into one cohesive platform, including phone.
"Another big time-saver is the fact that chats, emails, and phone calls are united under one customer view. This way, when a customer calls, we immediately see previous conversations with them," says Amanda, the Customer Support Manager at Try The World.
In Gorgias, when a customer calls for support, agents can pull up all other points of contact with the customer. This makes it easy for agents to give detailed and personalized support to handle customer issues.

By 2025, Gartner estimates 60% of your customer base will turn to third-party channels, like social media or forums, for information about your brand. This makes a compelling case to invest in these channels and thoughtfully integrate them into your larger support strategy.
It may be scary to think about shoppers talking about your brand in a place where you have little-to-no control of the narrative. But, third-party channels have a few benefits.
It’s a massively useful form of brand awareness that taps into social proof — aka, that your brand and its products are as great as they seem on your website. Plus, you can turn great posts from customers into marketing collateral, like user-generated content (UGC).
When you take the time to respond to customers in third-party channels, it also shows prospective shoppers that your brand is dedicated to providing a really great experience.
“It's really important to be monitoring social posts, even if you don’t have a massive following. These are public platforms where potential new customers are going to look at your brand and see immediately how you engage with customers,” says Bri Christiano, Director of Customer Service at Gorgias.
A growing number of younger shoppers — particularly Gen Z-ers — treat social media like a search engine. These shoppers use social platforms to answer their questions about brands and products by scrolling through content created by real customers.
As social media customer service becomes more common, more and more shoppers will turn to social media platforms, whether through comments or DMs, to engage with brands.
Ecommerce, or direct-to-consumer brands, might see more success on platforms like Instagram or TikTok, while B2B organizations might want to lean heavily into a more professional platform like LinkedIn. It all boils down to where your target audience is already spending time online.
A helpdesk can help your team keep track of customer communication on social channels.
These platforms are designed to integrate into your existing social media presence.
Gorgias, for example, pulls social media channels into one central space for your agents to easily monitor, respond to, and track comments or tags from customers.
For example, Everyday Dose turned to Gorgias to help manage the massive influx of comments and DMs they received from shoppers on their social profiles.
The main goals were to lower first-response and resolution times while maintaining high CSAT scores.

After implementing Gorgias, Everyday Dose met their goals, reducing response time by 60% and saw resolution time reduced by 45%. On top of this, the brand was able to convert 30% more tickets into sales, giving their revenue a nice boost.
Online forums are excellent spaces for community building. For shoppers, forums are useful to swap experiences or get information about a brand and its products.
Some brands opt to build their own forums from the ground up, but there are many free options available you may already be familiar with, like Discord, Reddit or Facebook groups.
Do your research before building from scratch to see if your brand already has a word-of-mouth presence on a third-party forum.
Read more about the best practices to leverage online forums as spaces for community building.
We’ll let you in on a secret: When it comes to choosing the best customer support channels to invest in, there’s no perfect answer.
You don’t need to use every channel out there in order to successfully and efficiently support your shoppers. The communication channels used by your team to manage customer expectations will differ across organizations.
That’s largely because of who your target audience is and how your customer service team best communicates with them.
For example, at Topicals, the customer support team leans into SMS messaging to follow up with customers.
This works because an important part of their communication strategy is to sound relatable to skincare-conscious millennials and Gen Z-ers.
SMS messaging is less useful for a company like Comme Avant, who sees a bulk of their customer support tickets come through social media DMs.
To choose the best right channels for your brand, start by thinking about your audience. Some questions you may want to ask include:
The old-school way of customer service was single-channel, mainly by way of call centers.
Then, as technology evolved, customer service became increasingly multi-channel. This meant customers could reach a brand through channels like email, chat support, or phone calls, etc.
Now, customer service has become about omnichannel support — allowing multiple channels to work together to form a cohesive system.
Gorgias leverages omnichannel support by connecting a customer service team’s tools into one simple system. That way, agents can handle tickets across social media, SMS messaging, live chat, and more.
It also gives your customers multiple touchpoints to reach your brand and allows them to communicate through a preferred channel for troubleshooting issues.
Achieving true omnichannel support with a consistent customer experience across all channels is tough, but it is possible with support from a modern help management platform, like Gorgias.
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Chatbots have become a go-to customer service tool for many brands. Their promise? Efficiency and scalability, powered by artificial intelligence (AI). But when it comes to ecommerce, these bots often miss the mark in providing a solid service experience.
The customer service chatbot has its place in answering straightforward questions. But it often falters when faced with intricate questions, or inquiries that require managing orders. When customers need to see their order status or request a return, a ChatGPT-style answer is annoying, not helpful.
Instead, a better customer experience comes from customer self-service automation that’s built with these ecommerce use cases in mind. Below, we’ll explore the downsides of chatbots and share some powerful alternatives to help your support team automate repetitive tickets to save time for interactions that really need a human touch.
A customer service chatbot is a digital tool on your website or app designed to mimic human interactions and answer user questions. At a basic level, chatbots aim to interpret customer inquiries, generate responses with AI, and resolve the issue without any agent effort.
For an ecommerce business, implementing a chatbot promises to deliver 24/7 automated customer support at scale without requiring as many human customer service agents.
Chatbots aren’t terrible, but they struggle to respond accurately to more complex or nuanced customer questions. And most chatbots can’t actually change a customer’s order, or show up-to-date information specific to that shopper. Even if the chatbot doesn’t have an answer, it will still try, resulting in confusing or inaccurate information for the customer.
While chatbots can help handle basic FAQs, they’re less effective for ecommerce-related customer interactions. Chatbots regularly fail to deliver satisfactory results when customers want to change an order, inquire about order status, or ask more complex questions.
Before implementing chatbots, consider their limitations in meeting your customer’s needs and the customer relationship you want to build with buyers.
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While chatbots promise many customer service solutions, their capabilities are narrow. Though they’re helpful for high volumes of repetitive questions, chatbots have limited aptitude as a comprehensive customer service solution. Their strength remains relatively basic automated assistance.
Here’s how chatbots are used in customer service:
At first glance, chatbots seem appealing. Who wouldn’t want round-the-clock availability and limitless scalability? However, their limitations emerge when testing the limits of conversational AI for satisfactory ecommerce customer service.
A 2022 Userlike survey of 415 respondents found that 60% of respondents who chatted with a chatbot could not solve their issues because they needed to speak with someone. Approximately 50% indicated the chatbot did not know how to solve their issue, and nearly 40% indicated that the chatbot didn’t understand them.
While chatbots aim to use machine learning to respond accurately to customer issues, their capabilities crumble in complex scenarios. Yet, they still try to spit out a response, annoying customers.
Given their limited problem-solving capabilities, chatbots often fail to resolve more complicated customer issues fully. This forces customers to painfully repeat explanations of their issues across different channels, seeking out an actual solution.
Adding these unnecessary repetitions and delays only further frustrates customers who want their ecommerce order issues quickly fixed on the first try.
For straightforward FAQ-style queries, chatbots manage fine. However, they struggle whenever contextual complexities enter the equation. Their canned scripts struggle to dig deeper into dynamic customer issues.
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Chatbots disappoint customers who expect tailored, back-and-forth dialogue when describing complex order scenarios or product problems.
For the most part, chatbots operate solely on your website’s chat window, so they can’t support customers across channels like email, social media, voice, etc. This limits their ability to handle multifaceted issues. Customers understandably seek and expect omnichannel customer service, especially options that provide a swift resolution.
The right automation focuses more on resolving customer issues than imitating humans. That’s why self-service options — like self-service order trackers, FAQs, and product quizzes — are a great alternative to chatbots. A 2022 Salesforce Research report found that 66% of respondents have used self-service account portals, with 66% of millennials and 61% of Gen-Z consumers preferring self-service for simple use cases.
Gorgias Automate serves as an advanced chatbot replacement. This suite of automation tools is built for ecommerce, and customizable for your brand’s unique needs. Below, we’ll show you how each feature takes a more straightforward approach to solving customer issues than chatbots.
But activating automation doesn’t mean forgoing live chat altogether — or needing it 24/7. With the right solution, you can offer automated options only during select hours or have customers use them before contacting an agent.
The ideal customer service solution instantly resolves frequent, repetitive questions through robust automation. When customers have questions like, “What’s your return policy?” or “What product is right for me?,” they deserve an answer at the click of a button. And that’s exactly how Flows work.
Gorgias Flows are buttons in your chat widget and Help Center (and soon, email) that provide instant answers — personalized to customers, where needed.
Whether buyers seek product recommendations, pricing, or your sizing chart, they only have to click a button to get a pre-written response (that you know is more accurate or on-brand than an AI-generated answer). If you want to personalize the answer, you can program the Flow to ask follow-up questions to understand the customer’s location, preferences, etc., for the most accurate answer.
TUSHY, an ecommerce company that sells modern bidets that attach to toilets, uses Flows to respond to common questions swiftly.
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Queries like “Which TUSHY is right for me?” and “Will TUSHY fit my toilet?” are automatically answered through these self-service flows without customers needing agent assistance.
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And if customers have follow-up questions or still want to speak to an agent, they can get connected to the TUSHY team with the click of a button:
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The right customer service solution doesn’t just answer FAQs, it helps customers track and manage their orders.
Rather than relying on agents (or chatbots with limited capabilities), automation enables customers to get answers and close the loop on routine issues independently, boosting customer satisfaction.
Gorgias Order Management Flows provide customers with self-service options to track orders, report issues, and request refunds or cancellations without needing agent assistance. Customers simply access Order Management Flows through the chat widget or Help Center.
Customers log in with their email or phone number (no need to remember an order number!) to independently check the order status, initiate returns or exchanges, and make other changes. This feature closes the loop on common post-purchase requests and empowers customers with instant DIY resolutions, letting your support reps focus on more complex interactions that actually need human support.
Loop Earplugs, which sells high-quality audio earplugs for concerts and loud environments, uses Gorgias Order Management Flows to let customers handle post-purchase requests independently. This automated self-service enables tracking shipments, reporting order issues, and initiating returns or cancellations without chatting with a support rep.
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Here’s what it looks like to log in, see recent purchases, and request a return:
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One advantage of chatbots is they can answer a variety of questions. While you can only have up to 6 Flows, another great solution is leveraging content from your knowledge base or Help Center to answer a wider range of customer questions.
Gorgias’ Article Recommendation in Chat harnesses advanced AI to analyze incoming chat tickets, pinpointing and sharing the most pertinent help center articles as immediate responses. This ensures customers receive precise, relevant information in real-time, streamlining their query resolution process.
And again — your customer experience is free of potentially incorrect or off-brand AI-generated responses. AI only steps in to provide the correct human-created content at the right time.
Here’s an example from Sol de Janeiro, a skin and body cream brand using Article Recommendations to answer customer questions about their products:
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Chatbots only work on your live chat window. But ideally, when customers submit inquiries via email or contact forms, they also get an immediate answer.
Gorgias Autoresponders use AI to scan every single incoming email and contact form submission for frequently asked questions, like “Can I get a return?” or “Where is my order?”
When one of those questions is found, the Autoresponder instantly replies with a pre-written and designed email that gives personalizes support answer to the customer, pulling data from Shopify, BigCommerce, or Magento.
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While chatbots have become a popular AI customer service tool, they’re not the only solution worth exploring. Brands have many options at their fingertips, each catering to buyer needs along the customer journey.
Live chat, for instance, offers real-time interactions, bridging the gap between immediacy and personalization. On the other hand, for customers who still want to leverage chatbots, Gorgias integrates with leading providers like Siena AI, combining the benefits of automation with specialized support. Diversify your customer service strategies and embrace alternatives to ensure that every customer touchpoint is addressed.
Your team doesn’t need to choose between a chatbot vs live chat. When shoppers face pressing issues or need assistance on the fly, live chat steps in as the hero, providing real-time, personalized support from human agents. Plus, amplify live chat support efficiency using templates and automation, reserving agent’s energy for complex concerns.
Gorgias Live Chat provides an instantaneous bridge between customers and brands. Real-time interactions allow customers to get swift, personalized responses to their queries or concerns. Enhanced with automation and templates, this feature guarantees swift support and consistent quality in communication, making every customer feel valued.
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Parade sells comfortable, size-inclusive, sustainable underwear made from recycled materials. They use Gorgias Automate alongside Gorgias Live Chat, available to their website visitors during business hours. This allows for the best of both worlds — easy and automated responses for simple questions and a human touch for more complex queries.
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Every customer’s concern deserves the attention it needs. With contact forms, shoppers can detail their queries, complaints, or feedback when it works for them, even if you’re not online staffing the chat. This format, which prompts customers to categorize their message and provides details, also gives your team everything they need to (hopefully) resolve the issue in one response.
The Contact Form, which is available standalone or in the Help Center, streamlines the customer messaging process. It offers customers a direct and structured way to submit their concerns and questions. Incoming communication arrives organized, making it easier for your customer service team to prioritize, tag, and resolve tickets.
Comfort One Shoes, which sells high-quality, stylish footwear that fits just right, uses the Gorgias suite of products, including the Help Center Contact Form. This form on their website lets customers get specific about their asks, including attachments to add every detail.
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Help Centers are like the libraries of customer service — organized, exhaustive, and empowering. Customers can independently navigate these centers to find order-related answers, leading to instant resolutions. And if they can’t find what they’re looking for? That’s when support agents step in to handle more intricate or unique questions.
The Gorgias Help Center is a comprehensive hub for customer support, allowing brands to create, import, house, and categorize resources to assist users. Whether it’s FAQs, guides, or tutorials, customers can find the answers they need without the wait times.
Parade hosts their resources on a Gorgias Help Center, which has an abundance of articles for customers to find the answers they need on a host of topics:
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In the age of instant messaging, email remains a steadfast channel for customer service. Customers can lay out their concerns in detail, asynchronously. On the other hand, brands can prioritize email requests based on current customer demands, getting away from the immediacy and urgency of live chat.
Gorgias Email is tailored to redefine email-based customer support through its shared workspace format. Its advanced tools facilitate a more organized, efficient, and rapid response to incoming queries by keeping track of email threads and allowing agents to respond quickly with Macros.
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By integrating with other platforms and using its automation capabilities, Gorgias Email ensures that each customer email is handled with precision and timeliness, elevating the standard of customer service.
Read more: Customer service email strategy: A guide for ecommerce brands
Community forums are essentially marketplaces of ideas and solutions. Here, ecommerce customers can tap into the collective wisdom of their peers, crowdsource advice, and find solutions to questions that others have faced before. They reduce the number of repetitive inquiries to customer service agents and foster a community spirit among first-time shoppers and brand loyalists alike.
Enhance your customer support capabilities with Automate. Tailored to address high-volume routine inquiries, the top 10% of Automate users deflect at least 30% of overall questions, while the top 5% automate up to 45%.
But it’s not about replacing the human element; quite the opposite. When Automate complements your current strategy and pairs with a genuine human connection, it crafts a harmonious and effective customer support environment.
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Book your demo today to learn more about Gorgias and Automate.
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With a decade of experience in customer service roles, I’ve recognized that ecommerce customer service goes beyond answering questions.
The best experience you can give customers is proactively providing them with what they need so they don't have to contact support at all. In instances where customers do need to talk to someone on the team, interactions that surprise and delight help keep them coming back.
Ecommerce customer service may feel less personal than it would in person, but there are a multitude of ways you can make it special.
Whether you’re building an online store from scratch or need extra hands to handle your growing customer base, I’ve rounded up the top 15 best practices for ecommerce customer service that you can start using to improve your support team.
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If I could only recommend one tool, it would be a helpdesk. A helpdesk is a customer service software that allows support agents and teams to manage customer data, inquiries, and orders in one platform.
If you run an online store, Gorgias is the perfect helpdesk specifically designed for ecommerce tasks. It smoothly combines order management, order fulfillment, and customer service in one tool, so that you can speak to customers and resolve their issues while being able to pull up their order data in one window.
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When customers can receive help the way they want — whether that’s a phone call or Facebook messages — they feel more comfortable initiating a relationship with your brand. Establishing a positive first impression can be the fuel you need to turn them into returning customers.
💡 Tip: Phone support can be the key to keeping customers. Throughout the years, I’ve seen first-hand how a simple 10-minute phone call can turn a sour interaction around. Most customers may prefer written communication, but being able to hash out an issue over a voice call can be the difference between losing a customer and keeping them.
The top support channels you should offer:
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To cut down first response times, use Macros or customer service scripts. On Gorgias, Macros are pre-written responses that can be applied to the most common customer interactions.
The best way to use Macros is by applying them to what I refer to as empty-calorie tickets. Empty-calorie tickets are repetitive inquiries that people ask over and over again, such as “Where is my order?” Automating the responses to these low-effort tickets is the easiest way to incorporate Macros into your workflow.
When to use Macros:
Customers who abandon their carts are inevitable, but you don’t have to leave it there. Sending an email to a customer who still has items in their shopping cart can be the final push to trigger a purchase. You can even pair the notification with a discount to make the purchase more appealing.
Acquiring new customers is expensive, so it’s extremely important to recapture customer attention when you have the chance.
Pay attention to your social media presence because 26% of people learn about a product through social media, according to a 2023 study by Statista. Public social media comments have the power to either bring in new customers or completely turn them off from your brand. For this reason, it’s important to actively engage with social media users who mention your brand.
Having an active social media presence is an easy way to show you care about what your customers have to say. When you address comments publicly, prospective customers will trust you more for your ability to be transparent and authentic.
📚 Related reading: 5 tips to leverage social media for your store
Customers like to know when an action they’ve taken was successful. When it comes to ecommerce, you can easily check this best practice off your list by making it a routine to send order status emails, like when an order has been shipped.
On Gorgias, we take the manual work out of sending routine emails with Macros. If you’re a Shopify store, Gorgias automatically populates your emails with important customer information pulled from Shopify such as customer name, order number, tracking number, and more.
88% of customers like to find answers on their own and expect a brand to have a self-service portal, according to Statista. You can help make the search easier by filling your website with self-service options.
Self-service options are resources for customers to get the answers they need without contacting an agent. These include FAQ pages, help centers, chat widgets, and interactive quizzes.
Here’s how each self-service option can benefit you:
📚 Related reading: A guide to building an FAQ page
Data collection makes up a large chunk of customer service, and it doesn’t have to be complicated. The easiest way to gather customer data is by collecting email addresses via newsletter signups and contact forms on your online store.
Customer service is important and shouldn't stop when your agents are off the clock. On Gorgias, you can add a contact form to your chat widget when your store is offline, so you have the opportunity to turn first-time customers into loyal followers.
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Benefits of collecting customer emails:
Three-quarters of Americans are shopping with their smartphone. It’s time to shift your focus. To take advantage of this customer behavior, match a convenient tool like the smartphone with an equally convenient and optimized website.
A website optimized for mobile includes:
If your store accepts returns and exchanges, it’s a good idea to automate the process with a portal. Returning an item is essentially just one step: getting an item out of a customer’s hands. It shouldn’t require a live agent. So, when your customers can return an item on their own, it becomes a huge time-saver for both them and your agents.
For example, when I worked at Stitch Fix, every time a customer needed an exchange, they'd have to reach out to support. It was a huge friction point. Eventually, we decided to build an exchange tool that became part of our checkout flow. From then on, our customers didn’t even need to think about contacting support because it was just an automatic part of the process.
💡 Tip: The easiest way to make a returns portal is by connecting Loop Returns with Gorgias. Loop Returns simplifies the return and exchange process by routing customers to a link, not an agent. By automating this part of the customer journey, your support team can deal with more urgent tickets.
Showcasing personal experiences can be the magic ingredient that adds credibility to your product. When potential customers read about real-life encounters with your product, they gain trust in your brand. Customer reviews can even nudge hesitant buyers toward making a purchase.
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For example, PuffCuff does an amazing job at making their product shine. Not only do they feature reviews, but they also include a customer review video. Being able to add a visual element that shows how conveniently your product solves a problem can convince customers who are on the fence.
Where to feature customer reviews:
Attracting new customers requires extra marketing that you may not have the budget for. Here’s a different approach: increase the value you get from your current customers with a loyalty program.
With a loyalty program, customers who already love your brand are incentivized to buy more while earning exclusive perks. An easy way to set up a program is by integrating LoyaltyLion with Gorgias. You instantly get customer retention features like shopping cart rewards, in-site notifications, and loyalty emails.
Without a physical storefront, your product photos will be doing all the talking. Customers want to get as close to the product as they possibly can to make an informed purchase. In short, gaining customer trust depends on the appearance of your products.
Here’s how to build trust through product photos:
📚 Learn more: Improve your product photography with these 3 tips
When customers get to checkout, they’re inches away from the finish line. Don't risk hampering their journey by subjecting them to a bad checkout experience. In fact, a staggering 17% of US online shoppers abandoned their orders in 2022 because of a "too long/complicated checkout process," according to Baymard.
Here's how to improve the checkout experience:
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You’ve got pages of customer emails, buying behavior data, and feedback — now what? The next step is to use this data to track customer buying trends and your support team’s performance. With Gorgias, you can track how well your customer service operates with Support Performance Statistics.
Track these support performance metrics to improve your processes:
💡 Tip: Great customer service should have clear KPIs that are aligned with company goals such as customer retention and revenue generation that clearly demonstrate how your customer service creates value for the company and enable you to evaluate the effectiveness of your support program.
Making every customer interaction delightful goes a long way. Customers are more motivated to keep interacting with your brand and can even inspire new customers to join in. When you show customers that you care, you give way to loyalty.
At Gorgias, we quickly get support teams the customer trust they need with an all-in-one helpdesk. Our helpdesk streamlines the customer experience with omnichannel communication, ecommerce platform integration to Shopify and BigCommerce, Revenue Statistics, and automation in one convenient platform.
Ready to put these best practices into practice? Book a demo now.
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