

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.
{{lead-magnet-2}}

Building an incredible customer support team at your company starts with finding the right people. But once you attract a pool of applicants, distinguishing between an excellent candidate and a so-so one isn’t always simple.
Why does this matter? Research from Harvard Business Review concluded that positive customer experiences can create as much as a 140% spread in how much customers spend at transactional businesses. And a massive part of that customer experience rides on your customer service team.
And for subscription-based businesses, that same study found a 31% spread in churn: quality of the experience was a significant driver of recurring membership and revenue.
This adds up over time, as well. Forbes found a cumulative loss of $75 billion yearly across all businesses pegged to a single source: poor customer service.
So, in the big picture, a great hire in customer service or support makes you more money. A bad one hurts the bottom line, and so much more.
As a hiring manager, it’s never been more important to get the most out of your interviews. The needs of customer service teams are more technically complex than before, with numerous channels for meeting customer needs. Working with an ecommerce helpdesk support partner like Gorgias can ease some of the pressure, but the interview itself remains highly strategic.
Before we get into specific questions, it’s worth noting that not every candidate has the right disposition for customer service work. Many customer service skills are crucial, and these traits and characteristics rise to the top of the list. As you work through the selection and interview process, look for these elements.
This isn’t an all-out dealbreaker, but interviewees that are already familiar with your brand and tone of voice will assimilate much more quickly into your organization. This is true whether this familiarity is natural (because the candidate is already a fan of your brand) or learned (because the candidate took the time to prepare before the interview).
Your customer service representatives spend all day communicating directly with customers, so you want to hire people with great communication skills for customer service roles. Your customer service team forms the face of your company for many customers, so the ability to communicate clearly about a customer’s problem is essential
Customer service reps will inevitably deal with angry customers as well as difficult customers, so hiring managers should look for candidates that can keep those communication skills up even under pressure.
The best candidates for customer service roles will pair strong communication skills with superior problem-solving ability, as well.
The days of single-channel customer service departments that existed solely as phone-based call centers are long gone. Most businesses rely on a multichannel customer service strategy that could involve face-to-face assistance, phone communication, or any of a wide range of web-based platforms. Today's agents need to apply customer service best practices to many channels.
A customer service candidate that can speak empathetically and clearly but cannot navigate social media or a customer service platform may not be a good fit for your current needs.
Conversely, you may find candidates that struggle with over-the-phone communication but can tirelessly plow through online tickets with superior skill.
If your team is large enough to differentiate, both types of candidates could succeed in clearly defined roles.
Still, it’s a good idea to get a sense of which service channels a candidate is likely to succeed in. Do this during the interview if you don’t do it earlier in the process.
If you’re a hiring manager in customer service or customer support, you already know that crafting the perfect customer service job interview questions is difficult. And if you’re an aspiring or current customer service representative, you may be looking for advice on how to answer customer service interview questions.
No matter your role, this list of 17 customer service interview questions and answers will give you some new approaches to the customer service job interview. Consider adding several of these questions to your interview process so you can hone your interview process and get better results.
(And if you’re a job seeker, these sample answers should give you insight into what interviewers might be expecting to hear. Adapt them to fit your situation, of course! You might also benefit from 5 Tips to Find Your Next Job in Support.)
You don’t have to hire someone with prior knowledge of your brand, but it sure helps. The more the prospect knows about you, the less you have to teach them. So it’s worth asking how familiar the prospective hire is with your brand and what they think about it.
If your interviewee is familiar with your brand, go ahead and ask if they’ve ever interacted with your customer service team. If they have, their answers could be illuminating — about the candidate and about the customer service experience.
Listen for an honest, enthusiastic response. It’s OK if a candidate doesn’t know much about the brand, but finding someone with the skills AND who is a big fan of your brand can lead to the ultimate customer service prospect.
Pro Tip: Watch out for a response in which a candidate wants to change too much: some constructive criticism is healthy, but customer service is not the place from which to spearhead major company-wide change.
“I’ve been using your [specific product/service] for some time now. I use it to [use case], and my appreciation for your [brand/culture/products] is a big part of why I applied for this job!”
Or
“I hadn’t heard of your company before I saw this job post, but as I began to research the company, I resonated with [product or aspect of mission]. I believe it’s something I can get behind and contribute to!”
Customer service is more software-oriented than ever before, and this question does double (maybe triple) duty: first, it tells you the obvious (whether the interviewee is familiar with your software). Second, it also often reveals a candidate’s overall comfort level with software. You’ll usually get a sense in their answer of whether they’re worried about the prospect of learning new software.
Third, assuming your job listing indicated which software solutions you use, this question will reveal how closely the applicant studied the job listing. If they seem confused by the question or don’t know which software solution you’re asking about, that might be a red flag.
As you listen to the applicant’s answer, don’t settle for a blunt “yes.” Follow up with a question or two that will reveal whether the person has actual knowledge of the software. And if the applicant isn’t familiar with your chosen software, listen for confidence about the ability to learn.
“At my previous company, we used [competitor software solution], and I can tell based on my own research that the two are pretty similar. I’m sure there may be some slight gaps, but I’m eager to learn those differences and get up to speed in [your software solution].”
Behavioral interview questions can be powerful because they give you insight into an interviewee’s thought processes and ways of engaging with the world. Length of employment at the previous company is merely factual, but the “why did you leave” portion is deeply behavioral.
Tenure at a previous employer isn’t always important, though a resume filled with a series of three- to six-month gigs could be a red flag. More important is the stated reason for leaving. Did the candidate struggle with a previous manager? Did they leave over scheduling issues (that are likely to be an issue at your company as well)?
To be clear, leaving a previous company isn’t always a bad thing. But the reasons why — and the way the candidate explains those reasons — can teach you a lot about the person’s approach to working on a team.
“I’m still employed at [current employer], but I see a better future for myself with your company. I’m happy enough at [current employer], but I’m more passionate about your company for [give a reason or two].”
Or
“I worked at [previous employer] for [time period] but had to leave due to [reason]. That said, I know [reason] won’t be an issue here because [explanation].”

This question helps you keep developing a profile of the candidate’s experience. At the most basic level, you want to learn whether they are familiar with the most common customer service questions that your team deals with.
While the key to delivering great customer service is the ability to use problem-solving skills to navigate especially difficult situations, those everyday types of questions make up the bulk of the actual work. Finding an employee that’s already well-versed in your most common customer issues (and who already has good responses to those issues) makes your job a lot easier.
Also, this is another behavioral interview question that can give you deeper insight into what makes a candidate tick. Listen carefully to how the person describes their activity helping various types of customers. You’ll learn at least as much about how the person thinks as how they solved a specific problem.
“Issues with account logins made up around 15 percent of my customer service interactions at my last job. We had a script to follow for this kind of issue, and I used it when I could. But over time I noticed that many users were getting tripped up on the same problem that wasn’t covered by the script. I helped them resolve it by [x] and recommended we add this step to the script.”
This is the first of several classic behavior-based questions. You’re listening for soft skills here, those intangibles that differentiate truly excellent customer service reps from the rest.
With this question, you’re looking at conflict resolution skills surrounding customer issues like public complaints or angry customer emails. Does the candidate have a handy example of being able to
You’re also looking at the ability to follow instructions and think outside the box. You don’t want renegades and mavericks, but you do want folks that can think beyond provided customer support scripts.
Push the interviewee to be specific with their answer to questions like these.
“Once I dealt with a customer with [stated problem]. I could tell the customer was upset before we ever started talking because of [verbal/written cues]. I kept my cool, sidestepped that anger, and determined that the customer’s core problem was [actual problem]. Once I identified that I made sure to empathize with the customer as I guided them to a solution to [actual problem.”

[Image source: Me.me]
Hiring for customer service is a delicate balance. You don’t want a cadre of people constantly trying to reinvent the wheel (or, worse, the company itself). And you also don’t want mindless followers. This question helps you gauge a candidate’s ownership mindset.
If they don’t have an answer at all, they might not be thinking enough about the big picture. Conversely, if their answer sounds a little too revolutionary, you’ll be aware that this candidate might need guidance in what’s appropriate.
As the candidate responds, listen for actionable ideas and methods that seem genuinely useful. Vague feedback with no clear outcomes isn’t what you’re looking for here.
“I noticed we were getting tons of customer support calls about one of the company’s products. The product was fine, but the included instructions left out a crucial step that was leading to the calls. I was able to point this out and escalate it to the proper team, who corrected the instructions for the next printing. In the meantime, I created an email template to help agents respond to customer questions about the issue faster. By getting the instructions fixed, I reduced these calls so the team could focus on more important customer issues.”
Sometimes, the best agents have experience from other roles with complementary skillsets. For example, wait staff at restaurants have a ton of insights about human interactions and communication since they serve people in person for hours on end.
Or, if the company products are highly technical or industry-specific, you’ll benefit from finding customer service reps with relevant tech or industry backgrounds as well.
Find out if your prospect has other experience they can bring to the table. Maybe they can even teach your team a thing or two.
“I’ve worked for ‘x’ years in foodservice, including ‘y’ years as a server. In those years I developed the ability to read verbal and nonverbal cues. And have found creative ways to meet customer needs. My time in restaurants has prepared me to excel in customer service by giving me a keen sense of customers’ needs, proactive tactics to keep them happy, and multiple strategies for resolving their complaints.”
You already know a candidate’s formal education as it is listed on their resume, but this question gives them a chance to expand upon that. Perhaps they took a specific course that’s relevant to this job or additional training certifications that didn’t make it on the resume.
Give them a chance to explain how some of their formal education enhances their abilities for this job.
This is also a great place to explore whether a candidate has experience in the systems you use, such as these:
Of course, reliance on formal training varies from company to company. Some brands focus more exclusively on skills and traits. Use your judgment with this question (but make sure you don’t imply that a degree is required unless it is).
“My degree was in [field], and as a part of my coursework, I took several courses in communication as well as a technology course. In these courses, I learned [two or three high-level lessons], which will help me in this role [explain how].”

“My top three core values in the workplace are [list three]. These core values permeate every aspect of my work: how I interact with customers, how I work with other team members, and more. If you ask [reference at previous employer] about this, I believe you’ll hear that I lived this out there, and I’ll do the same here.”
You want customer service agents that can, in most cases, get your customer what they want. But sometimes customers are wrong, demanding things that can’t be done. An experienced customer service rep will certainly have run into this scenario and learning how they handled it will give you great insight into their abilities.
Were they able to salvage a customer relationship? Show the customer a better way? Or did they just blow up the situation and provide no alternatives?
“I always do my best to meet customer requests, but of course this isn’t always possible. One time, a customer [describe illegitimate request scenario]. He was convinced I could do this for him, but it was out of scope. However, instead of just flat-out denying him, I was able to guide him to an alternative that was in scope. He didn’t get everything he wanted, but I did keep him as a customer.”
For interviewees with previous customer service experience, this question gives you insight into how far they’ve been stretched — as well as their emotional intelligence after the fact.
Look for how serious or difficult the described situation is (compared to what’s typical in your organization), and pay attention to how calmly — or not — the candidate can recount the scenario.
“In my current/previous position, I’ve had a few encounters in a class all their own. Probably the most challenging one was [describe the scenario]. It was challenging for sure, but I’m glad I went through it because I learned [lesson/insight]. I also really appreciated the support I got from my leadership team throughout the situation.”
If a candidate has a quality answer to this question, it will likely reveal the sorts of situations that motivate the individual. You should look for excitement, interest, and perhaps even joy as the individual answers this question. And knowing the kinds of situations that motivate an individual can give insight into whether they’ll be a good fit for your team.
“I once had a customer call in who was incredibly angry, but it was an issue that I knew I could solve. As I worked with the customer to unpack the layers of the issue, I heard her tone gradually soften. By the end of the encounter, I’d not only solved her problem, but I’d also managed to upsell her to a higher tier of service — and she was happy about it!”

The stock answer here is “contact my supervisor,” of course, but see if you can get a little more. What avenues (official and unofficial) would the candidate pursue before escalating to a manager? Will this prospect solve problems independently, or will the individual create an unending cascade of manager escalations?
“When I didn’t know an answer, I’d quickly search our internal knowledge base/wiki. If I didn’t find the answer there, I might search Google, our company Slack, or a more knowledgeable peer. I tried to minimize the number of escalations since I know that solving the problem myself is always the ideal outcome. But of course, I escalated issues to my manager when needed.”
“The customer is always right” only goes so far. Sometimes the customer is quite wrong, and your customer support teams know this. The real question is what a prospective team member will do when this happens.
This is another question that explores soft skills. There are countless ways to say “you’re wrong” without coming out and saying it. Can the prospect guide a customer to a better understanding without insulting them along the way? That’s the kind of customer service rep you need.
“I never take a confrontational approach when this happens. Instead, I assume that the customer isn’t willfully wrong, and I try to find a gentle way to guide them to a better understanding.
If there’s documentation or fine print that the customer missed, I’ll guide them to that information. I might also ask questions to get a better sense of where the customer got the incorrect understanding.”
Every one of us brings experiences from our personal lives into our professional work, and great customer service reps are no exception. We’ve all been the customer in need of service at some point, and there are great lessons to learn from the good experiences.
A prospect’s answer to this question should demonstrate their insightfulness and awareness. It will also likely reveal more about a person’s priorities in customer service encounters.
“I had an experience with [company] that impressed me as a customer and gave me some great ideas for how to solve customer challenges in my work. [Describe scenario and lessons learned.]”
Asking the opposite question gives you similar insights: whatever got under the skin of your interviewee is an aspect of customer service that they’re passionate about. And, of course, having been a frustrated consumer can build empathy when working with other frustrated consumers.
“I had an encounter with one company where the agents were working from scripts, and it didn’t seem like they took the time to process what I’d said in my complaint. It was deeply frustrating, but I learned from the experience that scripts can only get you so far and that I need to make sure I always understand the customer’s concern before I start trying to solve it.”
If you’ve gotten to this point and expect that you’ll offer the candidate a job, it’s time to get this crucial information. If your only needs are second shift and the candidate can’t or won’t work it, you need to know now.
Simply be honest. “I’m looking for full-time work, and normal business hours are my preference. I could work the second shift if necessary, but no overnights. That said, let me know what you’re looking for, and let’s talk about it.”

[Image source: IMC]
Getting the right team in place is a crucial component of your customer service strategy and so is giving your new team members the best in ecommerce customer service technology.
Find out why Gorgias is the #1 rated helpdesk for ecommerce merchants. See how Gorgias integrates with Shopify, Magento, and BigCommerce.
And, if you need help with the technology portion of your customer service strategy, schedule a Gorgias demo today.

Do you switch multiple screens and views to understand what’s going on with your team? If you do, we’re happy to report that there is now a shortcut. 🪄 Live Statistics on Gorgias is your destination to get a quick overview of ticket volume, agent activity and active channels in real-time.
It’s up top! Once you navigate to Statistics, you will see Live Statistics conveniently placed at the top. Click on Overview to see a snapshot of all customer support activity over all channels and agents.

In Live Overview, you will see the number of Agents Online and offline. Next to these, you will find the numbers of Open Tickets in two sections (to indicate whether they’re assigned or unassigned).

Pro tip: Hover over the tooltip to see a quick list of the actual agents who are online and offline. ⬇️

Say it’s late afternoon and you’re seeing a spike in open tickets. In Live Overview, you read 60 Open Tickets, and only 2 Agents Online. → 30 tickets per person 😱
With this information, you can immediately make decisions and take action on how to handle the higher volume your team is experiencing. For example, you may consider:
• Going to Live Agents Statistics to see the number of Chat tickets
• Creating a macro and a rule for your Chat customers who are waiting for longer than 1 minute ⌛️
• Creating a macro and a rule to set expectations around the delay
• Check internally to see if there is a problem with your delivery ops
• Stepping in to answer tickets with the Urgent tag
Knowing exactly what’s going on as it happens live, later observing fluctuations in First Response Time or Resolution Time won’t catch you by surprise. You can make a better assessment on your team’s performance by being fully aware of the circumstances around your metrics.
In Live Statistics, we simplify and organize information so you can be fully aware without needing to contact your team personally or be physically there.
In Live Overview, you will see a nice graph to inform you on the hourly Support Volume. Use this graph to see how your team is responding to inquiries as they emerge.

Looking at this graph, you can quickly grasp the volume you’re getting by the number of Tickets Created, Tickets Replied and Tickets Closed separately, but on the same timeline so you can compare.
When do you receive the bulk of inquiries? Does it happen before business hours?

You can see above an example where a lot of customers decided to contact the support team throughout the night. As a manager, you can monitor to see if this is a consistent pattern over time, and develop strategies on the support and operations side to improve experience. Looking at this graph, and seeing this type of pattern, you may want to ask:
• Are these tickets urgent? Are we properly auto-tagging to identify urgency?
• Are my agents ready to tackle this ticket volume at the beginning of their shift?
• Are these tickets auto-assigned?
• If these inquiries are urgent, should we set autoresponders?
• Is it worth getting additional staffing or how can I leverage self-service?
Monitoring the Support Volume graph, you can start to detect patterns that are connected to the entire customer experience. Anticipating problems or delays before they can occur, you can take measures to improve CSAT despite the predicaments due to international shipping challenges or a mix-up on a batch of orders etc. You can use the visibility and insights from Live Statistics to inform your overall operations.
Live Statistics is designed to inform you on an hourly basis. It gathers the right metrics and combines them strategically so you can get the right information and react quickly without being there.
All metrics in Live Statistics reflect your current day from 12:00 am to 11:59 pm in your time zone. If you need to change the time zone, you can easily do this in Business Hours under Settings.
In Live Agents, you will see whether each team member is currently online or offline, indicated by a green dot if they’re online - 💪 working away, or an orange dot indicating that 💤 they’re offline.

Pro Tip: Hover over these dots to see when they signed in (on the green dot), and when they were last seen that day (on the orange dot).

Live Agents Statistics will show you the exact amount of time each team member has been online in hours and minutes (e.g. 2h 6m). On this table, you will also see the number of Tickets Closed and Messages Sent. The ability to see this exact combination of data per agent will really help you monitor your team’s efficiency and know which agents to coach to improve performance.

Have all of your team use this, so everyone can self-check 🩺 and have their sense of achievement for the day based on data - 😉 not just feelings. Reviewing Live Statistics as a team, you can collaborate to come up with effective strategies to reduce the rate of messages sent per ticket closed.
Located in the far right column, Open Tickets 🤩 feature makes Live Statistics whole. This is where you can clearly see who’s working on what. You can see the total number of open tickets currently being helped by each team member. Placed immediately next to this number is the breakdown by channel.

You can read above how Jenny has 15 open tickets, with 3 from Chat, 7 from Email, 3 from Facebook and 2 from Instagram.
Click on this number to see just exactly what Jenny’s working on. Each of the numbers provided under Open Tickets, the total and by channel, is clickable and it will bring you to a readily filtered view where you can take a closer look at what your agent has at hand.
This experience will help you review your team’s activity in microscopic detail as you desire, without needing to interfere or navigate to different Views.
Check out the full combination of Online Time, Tickets Closed, Messages Sent and Open Tickets. Let’s bring back Jenny and look closer to see that she has 3 Tickets Closed, 12 Messages Sent and 15 Open Tickets. Under Online Time, it reads 6h 12m so she is approaching the end of her shift.

Right away, we can notice that she’s approaching the end of her shift with a lot (15) more tickets to go. There’s no need to get alarmed, but it’s better to take a quick look at what’s going on. Clicking on the number listed under Open Tickets, we can easily review the tickets she’s working on. Taking a quick look at her tickets, we notice a shipping problem on multiple orders - all large items shipping internationally with a third party. Knowing Jenny’s not familiar with third party shipping, we can remove these tickets from Jenny’s queue and make sure that we mark our calendar to train her on this topic before BFCM hits. ✅
All of these features in Live Statistics, Overview and Agents are designed to give you full visibility and control so you can take timely action to remove stress from work and from your team. 😅
📞 Let’s get on a call to have a quick chat.
✏️ We love hearing your insights, please drop us a note here.

Gorgias connects to over 70 leading ecommerce applications, giving you the power to centralize customer data in your helpdesk, perform support actions from a single place, and streamline your store’s toolkit.
This month, we launched 7 new integrations:
Read on to learn how you can use these tools to help manage your store, and visit the Gorgias App Store to activate them today!
LoyaltyLion is a digital loyalty framework that gives ecommerce stores innovative ways to engage and retain customers. If you're using LoyaltyLion for your loyalty program, you can connect it to Gorgias to display information next to support tickets, and reward loyalty points using Macros.

Note: Gorgias no longer supports Twitter. You can still use Facebook, Instagram, and WhatsApp in Gorgias.
Give your support team the power to provide customer service to shoppers on Twitter, without having to log into another platform or share credentials with your social media manager. View past Twitter conversations, gain cross-channel message context, and customize your replies to provide exceptional customer support.
Note: This integration is currently only available for Enterprise plans. View pricing here.

CallHippo allows startups and businesses to buy instant local support numbers from over 50+ countries around the world. With this integration, you can create tickets in Gorgias for phone calls and SMS conversations via Call Hippo.

Shipup follows your packages in real-time to create a seamless, transparent, and branded delivery experience. With the Gorgias integration, you can easily share shipping information with your support team, immediately notify them with a ticket in Gorgias when an incident occurs, and find customer information right next to conversations.

Tolstoy is an interactive video platform, helping users create meaningful and personal conversations at scale. With this integration, Gorgias users can sync their Tolstoy videos and monitor every viewer interaction as a ticket, empowering support agents to engage without ever leaving the help desk.

Autopilot is a data and customer journey marketing platform designed for businesses who sell online. With this integration, you can now combine your Shopify and Gorgias data together seamlessly in Autopilot. You’ll not only have a single view of your customer, but you’ll be able to deliver a more personalized marketing experience and get glowing reviews from satisfied customers.

SentiSum is an automated ticket tagging engine powered by natural language processing technology. With this integration, SentiSum tags can auto-fill form fields directly in Gorgias. From there, you can implement additional automation that saves agent time and improves customer outcomes.

You can now receive Yotpo product reviews right in Gorgias and reply to them as tickets! This gives your agents visibility into how shoppers feel about your product and allows them to address concerns without ever leaving the helpdesk. Each ticket will include the review details (like score and product) and allow you to either reply publicly or privately, so you can customize the support experience.

To add these integrations and discover more, go to the Gorgias App Store.

Have you ever wondered how other leading ecommerce stores manage customer support, especially when they are using Gorgias? We love identifying these trends and wanted to see what integrations have been the most useful in our customers' ecommerce tech stacks so far.
In order to help you bring all your customer data in one place and offer truly exceptional, personalized support, here are the top 10 integrations being used by Gorgias customers:
If you've been worried that email is becoming obsolete in the age of chat boxes and SMS support, don't be. Email is the leading support channel on Gorgias, used by 67% of customers.
This make sense. While faster, more instantaneous methods of communications are becoming common, email is still the primary channel to answer complicated support questions and send transactional messages like shipping updates, return logistics, and order/cancellation confirmations.
Of email integrations, Gmail is the leading provider with 59% of Gorgias customers having it active.
To learn more about our Gmail integration, click here.
Chat support is the second most common channel we see our merchants using, in order to offer real-time communication in addition to traditional emails or tickets. And thanks to our native chat integrations, it's easier than ever to launch a chat widget on your website.
57% of Gorgias merchants use our native chat integrations to offer real-time support.

This allows your shoppers to talk to an agent faster, but also presents a great opportunity to implement self-service options so they can help themselves. (Our Self-Service Chat Portal can help with that!)
Managing inquiries on social media and gaining insights into the conversations happening in those communities is te next priority for our merchants.
Over 50% of Gorgias brands are integrated with Facebook and/or Instagram.
Our Facebook integrations (which also includes Instagram) allows you to manage messages, comments, ad comments, and mentions as tickets in Gorgias. This gives your agents visibility into every conversation no matter where it happens, and empowers them to reply directly to shoppers without having to log into separate platforms or coordinate with your brand's social media team.
"The Gorgias-Facebook-Shopify integration is amazing. We've stopped hunting and matching Facebook users to customer accounts on Shopify. The information we need is surfaced so we can respond better and faster. Gorgias allows us to operate both ecommerce and social commerce business seamlessly." - Guita Gopalan, Chief Revenue Officer at Ellana
Nervous about the quantity of tickets that would be created from integrating social channels with Gorgias? Don't be. You can use Rules to filter out comments your team doesn't need to worry about (like comments that only consist of emojis), or even auto-assign tickets to specify agents/teams so no one has to triage the requests.
Text message marketing has become an incredible revenue generator for ecommerce brands, but it also opens another new communication channel with your customers: SMS.
In order to make the most of SMS as a marketing tool, you also need to be ready to support it when customers reply back with questions. That's where Gorgias comes in; we integrate with SMS apps to help you connect your agents with shoppers sooner and collect all customer conversations in one place.
Over 23% of Gorgias customers are integrated with an SMS tool.
The top SMS apps connected to Gorgias are:
"Working with Postscript and Gorgias gave us the leverage to keep customers close to deliver the best possible customer experience. It is super helpful to have a full view of the customer, all in one-spot." -Eli Weiss, Director of CX at OLIPOP
The next app on our list will help you collaborate with your marketing team to create a best-in-class shopper experience, whether they are interacting with the support team or receiving the latest promotion.
Klaviyo is an email and SMS marketing app for businesses that sell online. Our integration connects the two platforms, allowing you to use the data to create better campaigns.

17% of Gorgias merchants are integrated with Klaviyo.
With this integration, you can push Gorgias events into Klaviyo for advances and customer-centric email segmenting.
For example, here are some of the ways we've seen customers use the two tools together:
You can learn more about our Klaviyo integration or activate it here.
The most common integration will help with subscription management, which is probably no surprise: Even with a great payment platform, subscription questions and transactions tend to result in a lot of support requests.
Recharge us a subscription and recurring payment platform for ecommerce sites, and helps you turn transactions into relationships.
15% of Gorgias merchants are integrated with Recharge.
Connect Gorgias and ReCharge for a simple way to manage customer subscriptions and customer service from one convenient location.
When you integrate Gorgias and Recharge, you can:
Click here to learn more about our Recharge integration.
It's clear that digital support is the first priority for most of our merchants, as seen by email, chat, and social media being the top three integrations on our list.
Sometimes it's nice to have a real conversation with your customers, however, which is why phone integrations are next.

12% of merchants offer phone support.
Many use our Aircall integration, which is great if you need the advanced feature a dedicated tool like Aircall provides. If you're just adding phones for the first time, we released a native phone integration this year that's helping merchants begin to offer voice support.
Beyond answering customer questions, your support team may want to engage with reviews from shoppers in order to address issues, win back unhappy customers, and interact with your biggest fans!
Yotpo, a platform for ecommerce marketing and reviews, is great for this.
Over 8% of Gorgias merchants have activated our Yotpo integration.
The integration allows you to:
Click here to learn more about our Yotpo integration and activate it.
No one knows your shoppers quite like your support team, which makes an integration with a loyalty app a natural fit! Smile.io is a favorite of Gorgias merchants, which helps you manage a reward program and build strong relationships with your newest and most loyal customers.
6% of Gorgias merchants integrate with Smile.io.
With this integration, you'll be able to see customer loyalty information right next to tickets in Gorgias, so every agent knows when they are talking to a new customer or one of your VIPs! You can also use this information to help triage tickets or separate ticket views by loyalty status (which is great for managing different levels of support SLAs).

To learn more about our integration with Smile.io and activate it for your account, click here.
If your shop sells on public marketplaces beyond your own Shopify store, the final app on our list is a must. ChannelReply helps you manage messages from Amazon, eBay, and Walmart.
With our integration, you can then manage all those messages right from your helpdesk, eliminating the need for your agents to open different browser tabs for each platform.
Over 5% of Gorgias merchants use the ChannelReply integrations.
To learn more about ChannelReply and activate the integration for your account, click here.
And there you have it: The top 10 integrations with Gorgias in 2021! We hope this helps inspire you how you can use your helpdesk to offer exceptional, conceptual support and how to streamline the tools your store uses everyday to grow your business.
To get more ecommerce tool suggestions, check out our list of 150+ great tools. And to view all integrations with our platform, visit the Gorgias App Store.

Gorgias connects to over 65 leading ecommerce applications, giving you the power to centralize customer data in your helpdesk, perform support actions from a single place, and streamline your store’s toolkit.
This month, we launched 12 new integrations:
Read on to learn how you can use these tools to help manage your store, and visit the Gorgias App Store to activate them today!
SMS Live is an SMS texting app for Shopify and Shopify Plus. When you add this integration, you’ll see customer information from SMS Live in the Gorgias sidebar, so your agents don’t have to switch between the two applications. You’ll also be able to respond to SMS messages within the Gorgias helpdesk or switch those conversations to a different channel, such as email or phone.

Checkout Champ simplifies the checkout process and makes it easy to charge for subscription services or one-click upsells. With the Gorgias integration, you can manage all of your customer interactions to include refunds, fulfillment tracking, purchase alterations, and all messaging and tickets.

Konnektive is a cloud-based CRM and order management solution that helps optimize, centralize, and automate ecommerce business processes. With this integration, you can display order information right next to tickets in Gorgias and update customer information between the two platforms. It automatically comes with 10 pre-built Macros, to help you get started right away!

TXTFi allows brands to leverage purchasing through SMS and ensures side-by-side customer support to communicate with customers in real time. With this integration, you can manage SMS conversations from TXTFi as tickets in Gorgias in order to quickly connect your shoppers with a live agent.

Shopney is a mobile app builder for Shopify and Shopify Plus that lets you build an app for your store in just one day. With this integration, the conversations that happen through Shopney’s in-app live chat can be managed in the Gorgias helpdesk for a streamlined experience for your agents.

ReturnLogic helps D2C brands give their customers an easy returns process while automating workflows for their customer service and warehouse teams. With the Gorgias integration, you can embed the Gorgias Chat Box right on the ReturnLogic portal, giving shoppers another opportunity to make their return, exchange, or warranty process as smooth as possible. You can also manage these chat conversations in Gorgias and populate ReturnLogic data into Gorgias tickets.

Stateset is your single source of truth for managing your online business and automating your commerce operations. The Stateset AI Responder app uses state-of-the-art artificial intelligence and robotic process automation to quickly and accurately build data-driven responses ready for your customer service team to approve. When you connect the Gorgias integration, you can start generating intelligent and dynamic responses directly from Gorgias or from within Shopify.

See Instagram insights when responding to tickets, track Instagram mentions and engagement for your brand, and automate valuable influencer workflows all in Gorgias.
With the Gorgias and Gatsby integration, you can now identify when influential customers are reaching out for support and take that into account when prioritizing tickets, asking them to share positive support experiences and more.

Trustpilot Reviews is a customer review platform. With the Gorgias integration, you can streamline review responses with machine learning and AI. Trustpilot Review data is displayed in the Gorgias Customer Sidebar, ready to be leveraged by agents to reward happy customers and help recover customers at risk of churn.

ShipBob is an ecommerce fulfillment solution for online brands. With the Gorgias integration, you can sync customer and order information associated with a specific ShipBob account into the corresponding Gorgias account. You can also display data from ShipBob in the Customer Sidebar, and use that data in Gorgias Macros to automate responses to common claims.

AfterShip is an automated shipment tracking platform for e-commerce businesses. With the Gorgias integration, you can sync and display all customer shipment tracking data in the Customer Sidebar, allowing your agents to quickly answer questions without switching applications.

To add these integrations and discover more, go to the Gorgias App Store.

Instagram is really the perfect social channel for Ecommerce brands. You can show off your products, share user-generated content, and engage with your community to build brand loyalty.
All that engagement is great, except it adds a task to your plate that quickly multiplies as your brand grows: You have to interact back. Or at least you should, if you want to capitalize on all that engagement!
Sometimes your marketing team or social media manager will handle Instagram replies, but sooner or later you’ll start to get the “Where is my order?” (or “WISMO”) question from shoppers, regardless of the content being shared. This can result in an inefficient workflow between social and support teams to communicate the question, track down an order status, and get a reply back to the customer.
That’s why Gorgias integrates directly with Instagram (and other social media platforms), to streamline the management and interaction with top-level comments, ad comments, private messages, and replies. Instead of going back and forth between your Ecommerce platform, the social team, and the support team, you can empower your agents to reply quickly and accurately to any question that comes in, thanks to over 50+ integrations with the leading Ecommerce apps. (So all the context they need will be in one single browser tab!)
You could even have your marketing team or social media manager help create Macros, so your support agents can use templated (and on brand) messages that speed up their replies. Getting everything centralized in a single place is the first step to providing excellent social support for your store. The next is to start automating replies to common engagements, so you can free up your agents to focus on more important conversations instead of saying “Thanks for the mention!” for the hundredth time.
To help your store start managing Instagram support more efficiently, I’ve collected a list of Rules that Gorgias customers are using to engage with their shoppers, resolve questions faster, and keep their agents focused on the most important conversations.
Giveaway posts are great for brand awareness, but can also result in a large increase in tickets in your help desk. To stop this from ever becoming a problem, you can set up a Rule to auto-close tickets generated from giveaway posts, based on the message content.

In this example, we’re auto-closing tickets without the words “who,” “what,” “when,” “where,” “why,” and “how,” in order to avoid accidentally closing an actual question that your team might want to respond to. You could also customize this to close tickets that include a specific word or phrase, based on the criteria of the giveaway. I recommend working closely with your social media manager whenever a new promotion starts, to make sure your helpdesk is set up to triage tickets accordingly.
If you want to see Instagram engagements in a contact’s message history, but not necessarily respond to them from Gorgias yet, you can auto-close any ticket generated from Instagram, that way it doesn’t fill up the open queue.

By doing this, your agents will have the full cross-channel message history when interacting with a shopper, so they can customize the conversation and know exactly what they’ve asked in the past.
Tagging tickets in Gorgias is a great way to measure channel statistics and create customized Views. While your agents will always have the option to manually add tags, you can create a Rule to do the tagging automatically, that way it’s one less step in their workflow.

Then when you go to Statistics > Tags, you’ll be able to see how many tickets are generated from Instagram during a given period, and what percentage that is of all the tickets you receive.
Pro-tip: If you haven’t started managing Instagram tickets in Gorgias yet because you’re not sure what exactly the ticket volume would be, you can Auto-tag and Auto-close tickets in order to see the stats without conversations counting toward your plan’s ticket count yet.
Prioritize the messages and comments from those most likely to purchase. By detecting message sentiment and filtering by common phrases, you can automatically tag tickets with a high purchase intent, allowing your agents to answer questions quickly or send along a discount code to speed up the purchase.

Once you’ve set up the Rule, you can create a View to filter tickets that only contain this tag, that way your agents can easily see right in the left-hand sidebar whenever there’s a ticket from Instagram from a likely lead!

If you work with influencers, it’s critical to reply to them right away to maximize the impact of their community. To make sure your team never misses an opportunity, you can auto-tag tickets created from the partners you’re working with based on their email address.

Once the Rule is auto-tagging these tickets, you can also create a view to segment these messages from the others. Depending on how many partners and influencers your brand manages at a time, it may be helpful to set up one View per influencer (in which case you’d want to use separate tags), or group them all together in an “Influencers” section.
Whenever you reply to a ticket in Gorgias, you’ll see a small icon next to the customer’s name that signals what channel you’re replying on. If you want some extra assurance that your reps are only replying with personal details in private channels however (such as Instagram messages) you can automatically add tags to designate “public” vs “private,” so everyone can see right at the top of the ticket which type of communication it is.

Prioritize interactions that are asking your brand something, instead of just commenting with emojis. If your brand receives a lot of engagement, this can help you filter out what needs to be addressed and what can likely just be closed out (or handled by the social team).

If your support team is only interested in responding to the Instagram tickets that specifically mention customer service, you can auto-close everything else (and assume the brand team will take care of it). To do this, create a rule that closes tickets that do not include phrases like “order” “status” “support” or “customer service.”

Escalate the tickets that have negative intent to get them a response faster. You can add keywords (or emojis) and use our sentiment detection to auto-tag negative comments, so your agents see right away what kind of ticket they’re opening.

If you have a specific person who handles social media, whether that’s an agent or the social media manager, you can automatically assign tickets created via that channel to them, so those tickets never get routed to the rest of your team.

I hope these 10 Rules help you engage with your shoppers, resolve questions faster, and keep your agents focused on the most important conversations. If you haven’t connected your Gorgias account to Instagram yet, follow this guide to get started.
Alternatively, keep reading about social media for customer service, or check out our list of the best social media integrations for your Shopify store.

If your store leverages Instagram to drive sales, you know it’s important to engage with every member of your community whether they’re commenting on your posts, engaging with your Story, or sending you a message.
Over 4,000 teams on Gorgias have been using our Instagram integration to respond to (or automate responses to) mentions, comments, and ad comments. Earlier this summer, some customers were able to also start receiving and responding to Instagram messages (but it was limited to accounts with between 1,000-100,000 followers).
Today, we’re excited to share that there’s no longer a follower requirement to use Instagram messaging!
Every Gorgias customer (with a non-legacy plan) can manage Instagram messages (including Story mentions) directly from your helpdesk, allowing you to engage with your shoppers quickly and efficiently so you never miss a conversation.
Plus you’ll also be able to reply to comments with a message, giving your team the option to turn a public conversation into a 1-1 chat.

Customers who were able to start using this feature early have already replied to over 300,000 messages and Story mentions. In fact, about 2% of tickets in Gorgias are Instagram messages!
It’s clear our customers love using Instagram to engage with their communities and drive sales, which is why we’re so excited to open this channel up for all of our merchants regardless of their follower count.
Related: Our list of the best social media apps for Shopify.
To get started, you’ll need to make sure you have the "Allow Access to Messages" setting active in Instagram.
You can do this In Instagram Business Messenger by going to Settings → Privacy → Messages and setting the toggle to active.
Once that’s done, go to the Integrations tab in your Gorgias helpdesk and select “Facebook, Messenger & Instagram.”

Click the green “Reconnect” button to refresh your settings, and then you’ll be able to enable “Instagram Direct Messages” in the checkboxes.

This will connect Messages and Story mentions to Gorgias, allowing you to reply directly from the helpdesk and see previous conversation history (so your agents have all the information they need right in one place).
The following video will show you how to get started, along with some common troubleshooting tips.
If you’re managing a lot of customer support conversations on Instagram, it may be helpful to set up views for each type of interaction. For example, you could have a view for Instagram comments, another for Instagram Messages, and a third for Instagram ad comments.

You can also use Rules and Macros in Gorgias to reply even faster (or automate conversations entirely!) in order to free up your agents to focus on more important conversations.
Here are a few ideas to get you started!
1. Create a Macro sending a message to say “Thanks for the mention!”
If you have customers that love to tag your brand or products in their own posts, an easy way to continue building brand loyalty is to send a quick “thank you.” To save your agents time, you can create a Macro they can re-use anytime you get a Message that you’ve been mentioned in someone’s story or post.

2. Adding tags to track Instagram Story mentions
If you want to track how often your brand is mentioned in Instagram Stories, you can tag tickets that come in from the Messages channel with “Mentioned you” in the message body.
By creating a Rule to do this, you can automate this process so it doesn’t add any extra time or steps into your agents workflow, but gives you powerful insights.

3. Creating a Rule to auto-reply to Instagram messages outside of business hours
If you don’t want to reply to messages 24/7, it may be helpful to create an auto-response to set some expectations outside of your business hours.
You can easily do this with a Rule, and even encourage your followers to go somewhere else in the meantime, such as your website, a specific landing page, or even a partner account!

Hopefully this gives you some inspiration on how you can start using Gorgias to engage with your Instagram community without increasing the workload on your support agents. And if you're interested in messaging customers directly, check out our social media and SMS features. With social media for customer service, you can interact with customers on platforms like Instagram or Facebook. And with SMS for customer service, you can enable texting for your most on-the-go customers.
Related: Lean how Gorgias customer Berkey Filters launched SMS and drove incredible customer adoption to this new, faster channel.
To start simplifying management of your messages, comments, and mentions, get started with Gorgias and add the Instagram integration today!

When you use Gorgias, we know that you’re putting your trust in us. That’s why we hold our commitment to your security as our highest priority and safeguard your data with full transparency. Our security policy contains penetration testing, incident response plan, data lifecycle, comprehensive system status live report, and more.
We're thrilled to share that Gorgias is Service Organization Control (SOC) 2 compliant for Type 2. This achievement follows our numerous investments in platform security over the years as part of our goals to secure customer data.
An independent auditor conducted a thorough audit of our servers, systems, and products over six months. They verified that our information security practices, policies, procedures, and operations meet the thorough SOC 2 standards for security.
2022 update: We're happy to share that we renewed our SOC 2 Type 2 certification to continue protecting our customer data.
This industry-wide recognition serves as our reassurance that your data is managed in a controlled and audited environment.
Developed by the American Institute of CPAs (AICPA), SOC 2 defines criteria for evaluating how well a company manages customer data and ensuring a set of security controls are in place. A SOC 2 report is unique to each organization because it’s in line with specific business practices.

There are two types of SOC 2 reports: Type I and Type II. Type I checks if a system can handle issues like data breaches. Meanwhile, Type II examines how the system works and how effective it is to protect data against security threats.
Our completion of the SOC 2 Type II audit is our testament to the fact that we always prioritize your data security and privacy. We appreciate your trust in us and strive to strengthen this trust in the long term.
You can be sure that:
We hope our successful SOC 2 Type 2 helps you rest easy knowing that your data in Gorgias is secure. But this update is only the latest milestone in delivering our commitment. We’re continuing to improve our security control and data privacy practices for all merchants. To learn more about our security policies, visit our security page or contact us at support@gorgias.com.

