

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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




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

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

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

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

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

The easiest way to cultivate customer retention beyond the holiday season is through great customer support. And, the best way to provide great customer support is by giving your customer service teams the tools they need to streamline operations.
Gorgias helps empowers your support teams to retain customers by:
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Looking for some customer support statistics to develop your business strategy for 2023? You’re in the right place.
Understanding customer expectations and their impacts on your business is a great way to improve your company’s customer service. For example, it can help you:
In this post, we’ve gathered tons of customer support statistics all in one place so you can understand the objective numbers behind the state of customer service as it stands now.
Technology has driven the evolution of ecommerce in many ways, and the same trend rings true when it comes to customer service. Some of the biggest takeaways from this data include:
Recommended reading: 8 Customer Service Trends for 2023
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Excellent customer service is becoming both more challenging and a bigger competitive advantage than ever before. To deliver on that, brands have to overcome the challenge of high-effort, disconnected experiences.
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The top 10 reasons customers reach out to (ecommerce) support teams (based on a Gorgias survey of 12,000 ecommerce sites) are:
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Customer service is increasingly important, and average response times are decreasing. Benchmarks are helpful to keep in mind to ensure you’re competitive, but it’s equally important to set your own benchmarks and compete against yourself.
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Want to get better at measuring your service? Check out our guide to customer service metrics.
Customer service impacts the bottom line, and customers are willing to share their experiences — good or bad. It also builds trust with shoppers, making them more eager to make a purchase and build a lasting relationship with your brand.
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Challenges with employee retention have led to reduced quality in terms of service standards. Brands with strong customer service training and strong, loyal service teams stand to gain a competitive advantage.
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Customers continue to expect more relevant messaging and promotion from brands, including personalized customer support. And their hesitations around data privacy and related technologies are waning, making them more open to sharing information to receive improved customer service interactions.
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Technology is key to delivering exceptional customer service experiences. The right tools, from helpdesks to live chat support apps, are essential to meeting today’s customer expectations.
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The number of communication channels customers can use to interact with brands (and vice a versa) is constantly increasing. This number is only going to grow, so brands need to understand not only how to leverage each customer service channel but also how to integrate all the touchpoints into a single synonymous customer experience.
Synergy across an omnichannel support experience is the new baseline for good service.
Artificial intelligence (AI) enables more self-service options, as well as automations. Effective use of support automation technology can boost efficiency and reduce resolution and response times.
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Anticipating future trends and advancements can help you stay ahead of the curve. Customer expectations will continue to rise, touchpoints will become increasingly complex, and AI will play a growing role in delivering top-notch service.
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Now that you know the latest customer experience statistics in 2023, check out our list of customer service best practices to put this knowledge into action and become a more customer-centric company to attract and retain loyal customers.
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In customer service, you can find a wide variety of job titles, each with a unique set of key responsibilities — everything from answering phones at a call center to setting up automations, developing strategies for customer retention, and much more.
If you’re looking for a job in customer service, you’re in the right spot. Customer support can be a great way to transition industries and work your way toward a satisfying and rewarding career. Below, you’ll learn about 7 types of customer service roles, including typical daily duties and qualifications.
If you’re hiring customer support team members, you can also adapt the job posting templates to help you find talented new employees. Plus, you’ll hear from a couple of top ecommerce brands about why it’s important to give everyone on your team some customer service responsibilities, regardless of their role.
Customer Service Agents (or Customer Service Representatives) are the most junior role on a customer support team. Support Representatives are customer-facing employees on the frontline. They receive incoming support messages and calls, answer basic questions, and pass along complex or technical questions as needed.
Of course, even at this stage, Agents can play a major role in helping improve workflows, tagging and organizing incoming support requests, passing along customer feedback, and more.
If you’re a recent graduate or trying to pivot to a career in customer service, becoming an Agent is a great option.
We are seeking a dedicated and friendly Customer Service Agent to join our team. In this role, you will be the face of our company, assisting customers with their inquiries, resolving any issues, and ensuring a positive customer experience.
The ideal candidate will have excellent communication skills, problem-solving abilities, and a passion for delivering exceptional customer service.
Interested candidates should submit their resume and cover letter to [email].
Gorgias is chock-full of features and automations to help Customer Service Agents offer quick, helpful responses.
For instance, Gorgias centralizes messages from all communication channels (email support, live chat support, social media support, SMS support, WhatsApp support, and more) into one shared inbox so Agents don’t have to spend all day switching tabs. This helps your team offer omnichannel customer service.
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Also, when Agents are answering incoming support tickets, Gorgias displays customer information (including past conversations and orders) to give Agents all the context they need to answer the question. This also helps Agents offer personalized customer service.
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Customer Service Specialists have many of the same day-to-day responsibilities as Representatives. The main difference is that Specialists typically have more experience, know more customer service techniques, and can handle more complex, sensitive, and challenging interactions with customers.
In most teams, tickets get “escalated” to Level 2 Agents (or Specialists) if they’re beyond the skillset of an Agent. Often, Agents get promoted to Specialists once they understand the company’s policies, procedures, and products. It can be a great stepping stone to managing a team.
We are seeking a Customer Service Specialist to join our team who will respond to customer inquiries by phone call, email, or chat. As a Specialist, you will be responsible for resolving mostly routine customer inquiries with some non-routine, more complex problems.
The ideal candidate will have excellent communication skills, problem-solving abilities, and a passion for delivering exceptional customer service — including to angry or escalated customers.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Gorgias makes escalating tickets to Level 2 agents extremely easy. You can even set Gorgias up to automatically assign angry customers to certain agents — this works because Gorgias scans the sentiment and intent of every incoming ticket, and can assign, tag, and even respond automatically based on what it finds.
Here’s a visualization to help explain how Gorgias can automatically detect the contents of a ticket, and assign or tag it however works best for your team.
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The Customer Service Team Lead is directly responsible for managing a team of Agents. As a Team Lead, you’ll spend less (or no) time answering tickets, and more time hiring, onboarding, and training new support agents. ’
In some companies, the Customer Service Team Lead also acts as the Customer Service Manager (which we’ll cover below). But most companies separate the roles: The Team Lead manages the people, while the Manager manages the strategy and business impact.
We are seeking a customer service team lead to join our team. Reporting to the customer service team manager, the Customer Service Team Lead will be responsible for leading Customer Support Agents to provide the highest level of support and service to all internal and external customers.
The ideal candidate will have experience in team leadership, customer service, and problem-solving, with an understanding of industry best practices.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Gorgias gives Team Leads a helpful overview of the team’s performance. Specifically, you can see each agent’s essential metrics — like CSAT, response times, resolution time, conversion rate, and more.
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You can use these metrics to evaluate each agent and inform the type of training and coaching each one needs. Speaking of training, Gorgias also offers Gorgias Academy, which features dozens of courses to help teach your agents how to upskill, including how to use the helpdesk.
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Customer Service Managers are responsible for implementing the department’s tools and strategies. Unlike Team Leads, who are responsible for people management and coaching, Customer Service Managers are more responsible for setting up tools and automation, making sure the team is working toward business goals, and generating reports about the state of the department.
We are seeking a highly motivated and experienced Customer Service Manager to oversee our customer service operations and ensure the highest level of customer satisfaction. The Customer Service Manager will be responsible for leading a team of customer service representatives, implementing effective strategies, and continuously improving customer service processes.
The ideal candidate will have a strong background in customer service, excellent leadership skills, and a passion for delivering exceptional customer experiences.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Gorgias is full of automations that Customer Service Managers can set up to make their team more efficient and productive.
For instance, imagine you’re a Customer Service Manager looking for solutions to answer more tickets without hiring additional agents. You could set up Gorgias Automate to let customers answer FAQs, track orders, request returns, and more in the chat widget and Help Center.
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The Manager can also review the performance of these (and other) automations to understand the impact and find areas for improvement.
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Technical Support Engineers provide support to customers experiencing issues with software and other IT equipment. Most Technical Support Engineers are hired for Software-as-a-Service (SaaS) companies or universities, hospitals, and other large companies that need support for technical equipment and issues.
Note: Gorgias is 100% built for ecommerce. You can send images, videos, and other files to solve complex issues, but the tool isn’t built for software companies that need to offer very technical support. Check out our list of the best customer service software if you’re a non-ecommerce company.
We are seeking a skilled and customer-oriented Technical Support Engineer to join our team. The Technical Support Engineer will be responsible for providing technical assistance and support to our customers, ensuring timely resolution of technical issues, and delivering exceptional customer service.
The ideal candidate will have a strong technical background, excellent problem-solving skills, and a passion for helping customers.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Customer Success Managers are responsible for maintaining client relationships. They don’t answer tickets at all — instead, they meet regularly with clients to understand their business goals, help implement solutions, and ensure the client remains happy and satisfied.
Most Customer Sucess Managers work for Software-as-a-Service (SaaS) companies, agencies, and other kinds of client-based companies. Because Gorgias is built for ecommerce support teams, it’s not recommended for Customer Success Managers.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
The Director of Customer Service oversees the entire department and reports directly to executive leadership. They are responsible for managing the budget, reporting to executive management, and shaping the future of the department.
Director of Customer Service is the most senior role we’ll cover in this article. But depending on your business’s size and makeup, you could hire additional executive-level roles like Vice President of Customer Experience or Chief Customer Officer (CCO).
We are seeking a skilled and experienced Director of Customer Service to oversee our company's customer service policies, initiatives, and operations.
The ideal candidate will possess a deep understanding of customer needs and expectations, a passion for delivering exceptional customer experiences, and a proven track record of managing high-performing customer service teams.
To apply, please submit your resume and a cover letter detailing your relevant experience to [email].
Gorgias features a suite of tools and dashboards that the Director can use to communicate the department’s performance to executive leadership. On top of Agent Performance, which we mentioned above, you can see a variety of other data.
For example, you can see an overview of your support performance, benchmarked against other support teams in your industry:
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You can also see data about your team’s contribution to revenue, to run and report on experiments like using chat campaigns or live chat to generate sales.
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While you’re building a dedicated customer service team, consider requiring non-support team members to spend some time answering support tickets — either during onboarding or periodically as ongoing training. This helps non-support members:
If you use Gorgias, you’re in luck. While nearly every other helpdesk charges for additional seats, Gorgias gives you unlimited seats so everyone can make a profile and get involved with support at no extra cost.
Plus, Gorgias is easy for anyone — even non-support folks — to pick up and use. Here’s what a Marketing employee at Chomps, a Gorgias user, says:
“As a non-CX'r, Gorgias has made helping out the CX team so much easier. The platform is intuitive. And because our team has built out many Macros, I can easily answer common questions and concerns. Although I'm not on the platform every day, I can toggle between open and closed tickets if I need to reference an old situation and get up to speed quickly and efficiently.”
Read more about how Chomps uses Gorgias to share customer insights across the whole company.
Gorgias is a customer service platform built for teams of all sizes. And to accommodate all the different roles and responsibilities, Gorgias lets you select a role for each user, giving them (only) the permissions they need to do their jobs.
This helps keep everyone focused on their role’s scope, and ensure privacy and security — especially if you outsource customer service and want to limit access to sensitive information.
User Roles include:
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Want to learn about how Gorgias can help you make your customer service team more efficient and effective? Claim your demo today.
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TL;DR:
According to 2025 Gorgias data, chat inquiries are resolved in 24 minutes versus two days on email. It’s no wonder customers prefer live chat over any other support channel.
If you aren’t already offering live chat, it might feel like a big commitment. But when the end product is happier customers, it’s high time to catch up.
Thinking about offering live chat? Learn more about the benefits of live chat customer support, how it differs from chatbots, when and how to use it, and the best live chat tools to use based on your team’s needs.
Live chat support is a form of customer service that uses a chat widget to intake customer inquiries. Ecommerce websites, browser-based tools, and mobile apps typically offer live chat in combination with other customer service channels like email, phone, and social media.
Depending on the business, live chat support availability can vary. Some businesses choose to run live chat within their operating hours, while others extend 24/7 availability with the help of automation, conversational AI, or a dedicated off-hours team.

Related: Customer service messaging: Tips and templates for SMS + conversational channels
The main difference between live chat and chatbots is the option to speak to a live human agent.
With live chat support, customers always have the option of speaking to a live human agent. Meanwhile, chatbots can only provide customers with automated responses, whether preconfigured or generated by AI.
Live chat doesn’t just make support faster—it helps you close more sales.
Aside from quick answers, customers want confidence to buy. In fact, Hiver reports that 63% of consumers prefer live chat over phone and social media, mainly because they get instant answers while they’re still browsing.
Here are the benefits of implementing live chat for your business:
Read more: A guide to resolution time: How to measure and lower it
Live chat shines in situations where timing directly impacts whether a customer buys your product or walks away. These conversations often happen before a purchase, like when a shopper is deciding between products, has concerns about shipping, or wants to confirm your return policy.
Use live chat in these moments:
|
Moment |
Why Live Chat Works |
|---|---|
|
Before a purchase |
Provides instant product education, assurance, and curbs hesitation due to a lack of information |
|
Order-related concern |
Resolves time-sensitive questions on shipping or changes before the customer bounces |
|
Checkout hesitation |
Reduces cart abandonment by addressing doubts |
|
FAQs |
Deflects repetitive tickets through automation, freeing agents for complex conversations |
|
High-value customers |
Offers high-touch service that reinforces loyalty and drives repeat purchases |
|
Bulk orders |
Accelerates large sales by delivering clarity when urgency is high |
You don’t need a large support team to offer high-quality live chat support. Sure, live chat can feel risky if you’re a brand with a lean CX team or high ticket volume, but when you automate the right types of conversations, it becomes one of the most impactful support channels.
Start with high-frequency, low-complexity inquiries. These are repetitive questions that don’t require an agent to resolve:
These types of tickets typically make up the bulk of your live chat volume. Automating them clears the way for agents to focus on conversations that require more specialized knowledge and nuance.

The best live chat isn’t only a messaging tool, it also comes with features that make the support agents using it more productive.
Here are the top automation features to improve live chat:

Good live chat messages are quick, helpful, and easy to follow. Poor live chat messages are slow, robotic, or long-winded.
Follow these guidelines to help keep your replies effective and consistent:
|
Do ✅ |
Don’t ❌ |
|---|---|
|
Respond within your target SLA |
Leave customers waiting |
|
Keep responses concise |
Send long, wordy messages |
|
Use macros and templates as a starting point |
Manually type everything again and again |
|
Ask clarifying questions |
Assume you understand everything |
|
Be transparent if you need more time |
Promise something you can’t deliver |
|
Confirm resolution before ending the conversation |
End the chat without checking if the issue is solved |
Adding live chat for the first time or want to make your current setup more manageable? Start with these five steps:
You don’t need to be online at all times to offer live chat. Start by choosing live chat hours that reflect your team’s availability and peak shopping hours.
Remember to display your availability on your website clearly to manage customer expectations.
Customers who reach out to you via chat are active on your site and often close to purchasing.
Create rules in your helpdesk that flag live chat conversations as urgent, so they don’t get buried under slower channels like email. If you have a dedicated agent who handles chat, route all chat tickets to them for instant visibility.
Set up an auto-response that triggers immediately when someone starts a chat. Even a short message like “Hey! Thanks for your message, an agent will be right with you,” can reduce drop-off and give your team time to prep.
Templates that work in email may be too wordy in chat. Shorten your macros, simplify the tone, and make sure each response fits cleanly into a chat window. Use dynamic variables to pull in details like order number or shipping status without slowing down your agents.
Customers don't stop having problems when your team clocks out. When someone tries to chat outside business hours, collect their email so an agent can follow up once your support team is back online.

If you’re evaluating live chat software, here are five solid options to start with. Each one fits different team sizes and priorities.
|
Tool |
Pricing Model |
Best For |
Standout Feature |
Limitation |
|---|---|---|---|---|
|
Gorgias |
Per ticket |
Ecommerce brands |
Conversational AI that handles support and drives sales with upsells, recommendations, and context-aware discounts |
Limited AI features for non-Shopify ecommerce stores |
|
Zendesk |
Per user |
Large CX teams with dev resources |
Highly customizable for large support orgs |
Built for general use, not ecommerce; limited email AI; high setup cost |
|
Intercom |
Per user |
SaaS and product companies |
Built-in onboarding and product messaging tools |
Not ecommerce-focused; limited integrations and high AI cost |
|
Tidio |
Per ticket |
SMBs looking for budget automation |
Affordable chatbot + live chat combo |
Lacks visual upsell tools and struggles with complex sales questions |
|
Richpanel |
Per user |
Early-stage teams |
Simple UI and fast time to launch |
Buggy UI, no AI Agent, slow updates, poor Shopify automation |
Gorgias helps ecommerce brands deliver fast support without cutting into your budget. Automate common questions with conversational AI, resolve tickets in seconds, support and sell, and give your team the context they need to handle complex conversations with one tool.
Want live chat that takes support to the next level? Book a demo.
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