

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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

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

“Too often, a great interaction is diminished when a customer feels reduced to just another transaction. With AI, we let the tech handle the selling, unabashedly, if needed, so our future customers can ask anything, even the questions they might be too shy to bring up with a human. In the end, everybody wins!" —Ren Fuller-Wasserman, Senior Director of Customer Experience at TUSHY
Ready to put your Help Center to the test? Use this five-point checklist to make sure your content is easy for both customers and AI to navigate.
Break up long text blocks and use descriptive headers (H2s, H3s) so readers and AI Agent can instantly find the right section.
Spell out what happens in each scenario. This logic helps AI Agent decide the right next step without second-guessing.
Make sure your Help Center includes complete, structured articles for high-volume issues like order status, returns, and refunds.
Close every piece with a call to action, like a form, related article, or support link, so neither AI nor customers hit a dead end.
Use direct, predictable phrasing. Avoid filler like “Don’t worry!” and focus on steps customers can actually take.
By tweaking structure instead of your content, it’s easier to turn your Help Center into a self-service powerhouse for both customers and your AI Agent.
Your Help Center already holds the answers your customers need. Now it’s time to make sure AI can find them. A few small tweaks to structure and phrasing can turn your existing content into a powerful, AI-ready knowledge base.
If you’re not sure where to start, review your Help Center with your Gorgias rep or CX team. They can help you identify quick wins and show you how AI Agent pulls information from your articles.
Remember: AI Agent gets smarter with every structured doc you publish.
Ready to optimize your Help Center for faster, more accurate support? Book a demo today.
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Businesses run on happy customers. Happy customers generate repeat business, share positive reviews, and refer others to your brand. Plus, happy customers are cost-effective. Getting a new customer typically costs more than keeping your current ones around.
Net promoter score (NPS) measures how likely a customer is to recommend your brand to someone else. This metric was invented by Fred Reichheld of Bain & Company in 2003 and is a surprisingly good indicator of a company’s success. Companies with high NPS for their industry grow revenue 2.5 faster than their competition, according to research from Rob Markey, founder of Bain & Company’s Customer & Marketing practice.
Want to evaluate the success of your customer experience, product, and overall business? You should measure NPS. Here is a closer look at NPS, including how to calculate and benchmark your score.
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Net promoter score (NPS) is a metric to calculate the quality of your customer experience across every channel based on whether or not your existing customers are likely to recommend your business to someone else.
The net promoter score for your business is essential because it directly reflects how well your business satisfies your customers. It also shows the number of promoters you are creating through your company. It allows you to quantify the sentiment of your customers so you can better serve and satisfy them.

So what, exactly, is NPS measuring? Most directly, it indicates how much of your customer base would recommend your product to others. However, people treat NPS as a metric for brand loyalty, customer satisfaction, overall customer service, and happy customers.
NPS is one of the most common metrics to measure your brand’s customer experience and growth potential. Lumoa, a customer survey company, surveyed customer experience directors. Of the respondents, two-thirds said they prioritize and track NPS.
Calculating your NPS score isn’t difficult once you understand the three types of responses:
The formula for net promoter score is: Total % of promoters - the total % of detractors = NPS

NPS scores are significant for measuring the overall quality of your customer support and interactions. Fortunately, collecting NPS is relatively straightforward — it all boils down to one simple question:
"On a scale of 0 to 10, how likely are you to recommend our product to someone else?"
On this scale, 10 is the highest response: Customers who choose 10 are “extremely likely” to recommend your brand. And 0 is the lowest “not likely at all” response.
Let’s walk through how to calculate net promoter score step-by-step:
Here’s an example: You have a survey that comes back with 60% of the respondents being promoters, 10% of the respondents being detractors, and 30% of the respondents being passives. This is what your NPS calculation would look like:

60% promoters - 10% detractors = 50 NPS
In this scenario, the NPS score is 50. The NPS is always an integer, never a percent.
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A perfect NPS would be 100, but you can score as low as -100. A score below zero is considered poor because it means you have more detractors than promoters. Negative scores indicate your business may have a high churn rate and will struggle to grow. A score of 0 to 30 is acceptable, but anything above 30 is best.
Also, your overall NPS is only one piece of the puzzle. Once you know how to collect survey responses and calculate your score, you can drill down to determine which factors impact your score most.
For example, NPS may vary across your products. If so, you can start investigating whether the low-scoring products are low-quality, have misleading marketing, or something else entirely. Likewise, NPS may vary depending on the customer service channel customers use. If so, you may want to bolster your omnichannel customer service offering.
This is a tricky question to answer. NPS scores range from -100 to 100, so any NPS above zero technically means you have more promoters than detractors. The traditional score breakdown looks like this:
In practice, looking at others in your industry is usually better to determine what is good and what isn’t. Pay particular attention to whether or not your business is B2B or B2C, as B2C scores tend to vary much more widely based on the nature of the consumer products industry.
ClearlyRated’s 2022 NPS Benchmarks for B2B Service Industries illustrates this well, with most B2B service NPS ranging from 23 to 60. In the B2C market, on the other hand, the average NPS ranges from 5 to 62 for 2022.
With NPS, the goal is always to have more promoters than detractors. So, like any score above zero is technically positive, any NPS of zero or lower is a negative score regardless of your industry because it means you have more detractors than promoters.
Whether you want to improve a good score or bring a lousy score up to par, it’s usually about providing a better customer experience. If your score is lower than you’d like, it’s time to analyze the customer experience you’re providing to find weak areas that could improve.
Of course, your score doesn’t mean much without context. Retently’s 2023 NPS benchmark provides excellent data on the average NPS across industries:
Don’t lose hope if your NPS is lower than the numbers above. Every brand is different, and every brand starts somewhere. The most important project is to continuously improve your NPS, regardless of where you stack up against competitors.
The formula is simple enough, but you might want to create a system to process your score continually. We have three recommendations:
If you’re comfortable with Excel or Google Sheets, you can set up a spreadsheet to perform your net promoter score calculation. To do this, you will need to follow these steps with the COUNTIF function:
Plugging these formulas into your spreadsheet allows you to keep tabs on your NPS in real time, updating it as you need to when new survey responses come in.
If you're not great at using Excel, you can also use free NPS calculator tools online. To use one of these, you only need to count up the customer responses on their surveys and put them in the NPS calculator platform. Many survey tools allow you to export the scores easily.
Some good options for free NPS calculation include:
Before calculating your score, you’ll have to send a survey to customers to collect their responses. Some survey tools have NPS calculations built in.
If you use Gorgias as your customer service platform, you can easily integrate a survey automation tool to collect and calculate responses like:
We love and recommend all these tools, but as an example, let’s look at how Delighted and Gorgias work together. Delighted helps you spin up an automated NPS survey — one of many survey templates they offer. Then, you can automatically send out the survey to customer segments on multiple channels via Gorgias:

Source: Delighted
An accurate NPS score helps you grow your business, overall customer retention, and referrals. An inaccurate NPS may point you in the wrong direction. Accuracy doesn’t just mean you used the formula correctly — it also means you’re measuring the full breadth of your customer base and customer journey.
Below are some best practices to implement to make your NPS as accurate and helpful as possible.
First, the type of survey you use is important. There are two main types to choose between: relationship surveys and transactional surveys.
Relationship surveys try to measure a customer's brand or company loyalty. They ask questions about the overall customer experience and how satisfied the customer is with your company. You will send these to your customer base at specific intervals to help you evaluate the quality of your customer experience and support.
Transactional surveys focus on a particular transaction — for ecommerce, this is usually a purchase. The survey questions focus on that transaction, not the overall customer experience. This type of survey might give you better information about the specific product purchased, though it can also skew up or down if the customer contacted customer support.
Most of the time, you’ll start with relationship surveys. Before you drill down to specific products and transactions, it’s helpful to benchmark your customers’ overall sentiment, loyalty, and promoter status.
If you don’t have a helpdesk, you can use standalone NPS software to collect contact information and send surveys. But suppose you have a helpdesk like Gorgias. In that case, you’ll have an easier time automating your NPS surveys with one of the NPS survey tools listed above because your helpdesk already has customer contact information and can automatically send surveys after purchases or customer service interactions.
When you decide to contact, you may be tempted to ask as many questions as possible to maximize the insights you receive. We get it; we love customer insight, too. However, response rates for NPS surveys are low, and customers are even less likely to respond to longer surveys.
You’ll have higher response rates if you focus your NPS surveys on two questions:
As we said above, you should follow up after a respondent gives you their score to understand why they answered that way. Leaving the question as optional won't impact the number of NPS questions you get back, but you may get some critical qualitative data from customers who choose to fill out the open-ended question.
Open-ended questions require more than a "yes" or "no" response. Here are some examples of open-ended questions that work well:
Make this question about the customer, using plenty of second-person pronouns, and let them have an open forum to add a response. Use the information you gather to help you improve your customer satisfaction in future interactions.
It's easy to get caught up in details and never actually launch your NPS survey. While you want an effective survey, don’t let perfect get in the way of done. Even if you only have a small amount of data initially, you will have some. NPS surveys are not one-and-done; you can optimize your next survey to get more responses.
Start with the relationship survey and send it to your current customers. Then, after receiving responses, tweak your survey and send it to different customer base segments. Continue tweaking the frequency, wording, and targeting until you get a statistically significant number of survey responses.
Don't wait to start until you have a perfect system — you'll lose valuable data if you do.
Experiment with the timing of your survey to maximize the total number of respondents. We’re unaware of any universal best practice for the time and day of the week to send out NPS surveys. The timing will depend on your specific customer base, so experiment until you find the sweet spot.
Some survey automation tools, like those mentioned above, will send surveys in response to customer actions. For example, a customer could get a survey a few hours (or days) after purchasing or contacting customer support. This is a great way to ensure you target customers who are actively engaged with your brand.
Want to improve your survey response rates? Check out our list of best practices for improving your NPS response rate.
Finally, ensure you test your survey in-house before sending it to actual customers. There is nothing worse than a poorly worded, poorly functioning survey. Send a test survey to people within your organization first, and make sure it gets to their inbox and not the spam folder.
What might trigger a spam flag in the invitation email for your survey? Here are some things to avoid:
Send the invitation email to people in-house and make sure everything works. The email should open, be easy to read, work on multiple browsers and email programs, and make sense to the reader. Take feedback from your team to tweak the email and ensure the survey has the best chance of getting read and responded to once it reaches your customer.
The primary purpose of NPS is to give you an overall impression of brand loyalty. Another benefit is to identify — and fix — low-NPS interactions as they happen.
We recommend identifying some of the top reasons for low scores and implementing a system to respond to incoming low scores quickly. In Gorgias, for example, you can set up an automated Rule to automatically create a ticket for incoming NPS scores and assign low NPS scores to a dedicated agent.
As your team grows, you can even dedicate agents to each common issue: damaged products, delayed shipping, etc. Gorgias’ intent detection automatically analyzes tickets to identify the root cause of the problem and, combined with Rules, can send each issue to a specialized agent:

Source: Gorgias
Treat those flagged low scores as priority tickets and establish a suitable solution for each reason. For example, you could send a gift card to customers who receive a late or damaged product.
These conversations may be sensitive and challenging, especially among VIP customers. So, we recommend activating phone support as a last line of defense for customers with a negative experience.
Raising your NPS is one of the revenue-generating tactics from our CX-Driven Growth Playbook, which is based on research of over 10,000+ top ecommerce brands. Check out the playbook for 17 more actionable tips to drive revenue by improving your CX.
Net promoter score is a rich metric, but it’s not the only — nor necessarily the best — way to gauge customer loyalty. One issue is the premise of the survey itself: Just because a customer might promote your brand doesn’t mean they’ll stay loyal. A customer might recommend your product to a friend but choose not to purchase it again because your product is too expensive for them.
We recommend complimenting your NPS efforts by measuring customer satisfaction (CSAT), mainly to gauge the performance of your customer support team. Whereas NPS helps you understand the potential for referral-based growth, CSAT asks about customer loyalty more directly: How satisfied are you with the help you received today?
If you use Gorgias, you can automatically send customer satisfaction surveys after closing a conversation with a customer:

Source: Gorgias
This information will be displayed in future discussions to give the next agent context about this customer’s past experiences with your brand. Plus, you can zoom out to get a sense of CSAT across your entire customer base with the platform’s customer satisfaction dashboard:

Source: Gorgias
Data from our CX-Driven Growth Playbook indicates your CSAT and revenue are linked. For example, raising your CSAT from 4/5 to 4.9/5 can raise your overall revenue by 4%.
Want to better understand your ecommerce business’s overall performance with metrics like conversion rate, acquisition costs, and lifetime value? Check out our guide to ecommerce KPIs.
Want to zoom in on your customer service department’s performance with metrics like NPS, CSAT, and support performance score? Check out our guide to evaluating customer service.
A good NPS score means your customers are happy and they are spreading the news about your product via word of mouth. Gorgias helps ecommerce brands improve customer experience to drive customer loyalty, referrals, and revenue.
One of our customers, Bagallery, saw their NPS go from 19 to 41 after partnering with Gorgias. Another client, Comme Avant, now maintains a nearly perfect NPS after switching to Gorgias.
And with Gorgias, NPS is only the tip of the iceberg for reporting and analytics. You have access to reporting dashboards like our Support Performance dashboard, which combines many key customer service metrics, and our Live Statistics dashboard, which shows up-to-date information about each agent's performance.
Sign up for a free trial to see Gorgias' powerful tools for reporting, analytics, and omnichannel customer support.


As a Talent Acquisition Specialist, I firmly believe talent sourcing is a crucial component of recruitment. It involves proactively reaching out to good-fit candidates to broaden your talent pool and make key connections well in advance, rather than just waiting for the perfect person to find and apply to job postings once they go live.
Talent sourcing helps us at Gorgias cut through application noise and get the highest quality candidates possible. Our outreach emails for Engineering positions, one of the most challenging roles to fill, see 26%-46% response rates. And in this deeply competitive labor market, getting in contact with those gem candidates is especially important.
In this article, we’ll discuss the merits of talent sourcing as a hiring strategy, as well as the tools and tactics we use for talent sourcing at Gorgias.
The state of the hiring market in 2022 is worrisome, to say the least. It seems like every single company has at least 10 open roles, and they’re all competing over the same pool of top-notch candidates.
Let’s take a step back and look at the last couple of years. Compared to Q1 2020, iCIMS reports job openings in Q1 2021 are up by 86%, hires are up by 45%, and job applications are down by 11%.

Meanwhile, 78% of companies report being unable to find enough talented candidates in the market to fill their open roles. Why? As we mentioned above, the labor market has tightened. This means that naturally, there are more jobs open than people to fill them, which consequently makes hiring even harder.
2022 continues these trends. There are now a record 5 million more job openings than unemployed people in the US, according to this article published by CNBC (which contains many top takeaways from the Bureau of Labor Statistic’s Job Openings and Labor Turnover Survey.)
Also, like always, certain roles are particularly difficult to fill right now. Full-stack engineers are most in-demand right now, meaning they’re especially difficult to find and hire. Fortunately, a shift toward hiring remote talent in smaller regions is taking place. Software engineers who are open to remote work receive 20% more interview requests.
Part of appealing to this pool of in-demand talent is understanding software engineers’ top priorities. Here’s below the full list of the biggest motivators for software engineers, according to the 2022 State of Software Engineers Report:

These motivators are valuable insights because they can help you market your open roles (and, to get back to the topic, talent sourcing outreach) more sharply.
There are differing opinions about the exact definition of talent sourcing. But the basic definition of talent sourcing is engaging candidates who are not active applicants. We call the targets of talent sourcing “passive talent,” which excludes candidates who apply traditionally, through a job posting.
For us, the goal of talent sourcing is to build a pipeline of talent that operates throughout the year as a proactive approach to the company’s hiring needs. Sourcing allows us to connect with potential fits long before a need develops. Considering that hiring a new employee can take anywhere from a week to several months, getting a head start on promising candidates is a great long-term strategy.
In Q1 2022, it took our team an average of 53 days to extend an offer. In Q2, we were able to send out offers in 39 days thanks in part to talent sourcing. Therefore, we managed to speed up the process of extending an offer by 26% thanks to talent sourcing.
We looked at some statistics outside of Gorgias and here’s what we found: 70% of the world's workforce are passive candidates, and 86% of the most qualified candidates for your open positions are already employed, hence not actively looking for a job. That said, LinkedIn has found that 90% of the professionals active on their platform would like to hear about career opportunities.
Talent sourcing helps bridge the gap between the companies hiring and passive candidates (which, again, make up 70% of the workforce). We can build relationships with promising talent well before we’re urgently looking to make a hire.
Gem found that talent sourcing is the second most important recruiting trend (after diversity recruiting), according to their 2022 Recruiting Trends: Data-Driven Recruiting.

Why exactly is talent sourcing such a prominent trend? Because it’s a strategic approach to improve many of the most important metrics a recruiting team pays attention to.
Talent sourcing can improve your time to hire because you can start refining a pool of candidates well before you have a live job ad. For us, one of the best tactics was to use outreach to identify a pool of talent that uses our tech stack. That way, when you post an engineering, product management, or non-tech role, you don’t have to source from scratch and filter out candidates because of basic misalignments.
Once a job posting goes live, our team has a huge headstart (and can therefore crush previous time-to-hire metrics). Instead of going to LinkedIn and starting a search from scratch, I would go to our refined pool of (currently, but forever growing) 111K candidates that match our company’s needs, tech stack, or overall preferences and start my search there.
Talent sourcing helps us create a pool of pre-vetted candidates, so we’re never in a situation of having to accept a mediocre candidate because of a time crunch and lack of inbound interest.
Also, when a high-potential candidate doesn’t end up receiving (or accepting) an offer, they go back into our talent pool so we can potentially find another opportunity to work with that high-quality candidate.
We use Gem for robust top-of-funnel diversity reporting. The tool lets us deep dive into our natural sourcing tendencies and analyze passthrough rates across demographics like gender. This helps us point out some of the unconscious biases we each might have, so we can keep diversity and inclusivity in mind, implement action items, and source a diverse and strong team.
As you likely know, a candidate’s potential (and journey with your company) doesn’t necessarily come to an end after a rejection. To make the most of high-quality candidates who have already gone through our screening once, we check out junior candidates we talked to 2+ years ago and marked as under-qualified. We do the same with candidates who have kept warm after rejection and candidates who withdrew from the process because they took another offer.
These candidates have already expressed an interest in our company and therefore get consideration to introduce into our ongoing talent pool.
One of our most helpful tools is HireSweet. The tool enables us to explore all of the 4,000 candidates who live in our ATS much easier than just searching the database. One of the best features is that HireSweet allows us to find candidates that may have switched careers completely but live in our ATS under an old position.
But the question still stands: how do we expand our talent pool to 111K people?
We don’t reach out to leads by hand: we contact them in bulk by sourcing and scraping. Before we explain our process, the important thing to keep in mind is that your search and bulk leads import should always resonate with the company’s hiring strategy. Simply put, we don’t do volume sourcing for the sake of doing high volume.
Bulk imports can help you in a few ways:
Here’s an example of how we might pre-source our industry to collect a high volume of good-fit names:
We use the following four tools to execute the process described above:

LinkedIn will limit the number of profiles you can scrape each day. If that’s the case, you can set up bot automation to run multiple times a day. With fewer profiles scrapped more frequently, you can stay under the radar.
Did you know that 66% of people who changed jobs were aware of the company they joined before they applied? That’s why we encourage you to do everything you can (with the resources and buy-in you have) to take a proactive approach to your talent strategy. Some more tactics include:
A well-written message tailored to each candidate (or at least each role) is a terrific approach to draw top talent in, keep them interested, and persuade them to discover more about the company.
At Gorgias, we do our best to include the relevant information without plopping an entire job ad in the first message. We typically try and highlight a couple of unique features (including compensation, which we share with our SaaS calculator).
Talent sourcing doesn’t just need to be a recruiter activity. We encourage employee ambassadorship, wherein the entire company is invited to source talent for live and upcoming roles. (They aren’t scraping LinkedIn, but can refer candidates our way and spread the word.)
When employees establish a direct relationship with candidates, they can provide a meaningful testimonial and sneak peek into the company’s culture.
Engaging passive candidates involves more effort than engaging active candidates because you have to persuade someone to be interested. But the effort is worthwhile: at the very least, you spread the word about the company.
Speaking of engaging your team, check out our article of five tips to engage a hybrid or distributed team.
At Gorgias, we managed to reach a 26%-46% response rate for our outreach emails for Engineering positions.
Even though recruiting and sourcing tactics constantly evolve, the mindset is still the same:
Top talent is in high demand, and competition for their attention is severe. That’s why we need to establish a presence wherever potential candidates are — starting with their Inbox.
We’re hungry for lifelong learning and growth, so we want to hear from all the recruiters and sourcers out there. What’s your take on talent sourcing? How are you approaching it in your company? What can we learn from your practice?
Send me an email and let us know!

When your company decides to launch a new support channel — usually for efficiency and customer convenience — setting it up is only half the battle. The other half is driving customers toward the new channel (and away from your old ones). Without a concerted effort for customer adoption, you risk paying for a support channel that nobody uses.
Berkey Filters, a world leader in water purification and seller of water filter systems, wanted to add SMS as a support channel for their shoppers. SMS is more convenient for on-the-go shoppers and allows agents to provide service to multiple shoppers more efficiently than other channels.
Berkey Filters launched SMS with Klaviyo, and wanted wanted to add the Klaviyo SMS integration to Gorgias to unify customer conversations in one platform.
The launch was one of the most successful we’ve seen to date, both in terms of ticket efficiency and customer adoption. Within a month of launching SMS, Berkey Filters:
We sat down with Jessica, the Gorgias account owner and Customer Experience Analyst for Berkey Filters, to ask how Berkey Filters achieved such suburb support stats so quickly. Jessica was generously willing to share her strategies to drive customer adoption of the new support channel.
In this Playbook, learn about the six tactics Berkey Filters used to launch SMS, increase the number of customers using this channel, and decrease ticket volume on older channels.
SMS is one of the fastest-growing support channels today. It’s one of five channels consumers expect from brands, alongside email, website, voice, and chat.
Consumers love SMS because it’s fast, convenient, and always with them (even on the go). They don’t need to block off time in their day to sit by their laptop or on the phone to deal with a support situation. They can carry about their day and effortlessly reply to texts whenever they have a moment – something most people already do.
Support managers love direct messaging channels because conversations are typically shorter and resolved faster. And as long as SMS tickets are managed in the same places as other channels, it’s easy for agents to manage.

Jessica was specifically interested in using the SMS channel in Gorgias for Berkey Filters to achieve the following goals:
Jessica’s team also views SMS as a modern support channel. More and more brands want to offer a customer service experience that’s seamlessly integrated into the shopper’s day, and Berkey wanted to be an early adopter.
While some of these benefits are pretty applicable to any store, make sure you’re clear on your “why” before adding a new support channels. This will help you know how to prioritize it compared to other channels and justify the work that goes into adding a new method of communication with your customers.
For the purposes of this playbook, we’ll assume you’ve already created your Gorgias helpdesk. If you haven’t, get started with a free trial or schedule a call with our team for a personalized demo.
Gorgias SMS allows you to send and receive 1:1 SMS and MMS messages with your customers. To add it, go to Settings > Integrations > SMS.
You’ll need a Gorgias phone number to get started. If you have one already (likely because you use Gorgias voice support), you can add the SMS integration without changing numbers. If you do not have a number yet, it’ll prompt you to create one first.
If you already have a phone number but it isn’t owned by Gorgias, you’ll need to port it. Learn how in this help doc.
If you’ve just added SMS (or any new channel), there are a few administrative tasks we recommend before following the steps outlined this playbook:
Now, we’ll share exactly how Jessica promoted SMS for Berkey Filters customers.
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Jessica knew they would eventually add their SMS number directly on the Berkey Filters website, but she also knew she’d have to wait for her developer to do so. In the meantime, she started with the tools available to her in Gorgias.
Here are six tactics Jessica used to drive adoption of the newly launched support channel:
Let’s break each of these down.
Even though Jessica would need to wait for her developer to update the actual page content, she knew she could launch a Gorgias Chat Campaign on the “Contact us” page to announce they now offer support via SMS. (If you don’t know, a Chat Campaign is a live chat session that automatically and proactively triggers for targeted website visitors, often to announce special promotions.)
Here’s what their campaign looked like:

Jessica’s campaign automatically opens a live chat box announcing the launch of SMS for anyone who stays on the Berkey Filters contact page for longer than 30 seconds. That time frame is a good way to target anyone who’s clearly trying to identify the best contact method, and not someone who accidentally clicked onto the page (and would likely bounce before 30 seconds).
To create a Chat Campaign in Gorgias, go to Settings > Integrations > Chat and select the chat widget you want to use. Click the “Create Campaign” button in the top right.
From here, you can enter the URL(s) the campaign should appear on, set a required time spent on the page, and customize the message that displays.
Read this help doc to learn more about chat campaigns.
One of the best ways to tell customers about a new support channel is to promote it on one of your existing channels — especially to customers who are already accustomed to those existing channels and may never visit the contact page again.
For the segment of customers who already use email to contact support, Jessica leveraged the initial auto-reply that Berkey Filters sends when a customer emails them to announce the new, faster channel.
In addition to the standard, “Thanks for contacting us! An agent will reply back shortly,” Jessica added, “We are currently experiencing high contact volumes and will be responding as quickly as possible. Our chat and text response times are typically faster. We are now accepting text messages at 1-800-350-4170.”

By customizing the auto-reply to promote the new channel, Jessica met Berkey Filters’ customers where they were to make sure they knew about the latest and greatest way to get support.
At this point, Jessica got developer support to add the support phone number to the website. The contact page is a natural location to add any new support channels, because you know new customers will go there looking for contact information.
Here’s what the Berkey Filters “Contact us” page looks like:

When building this page, Jessica made many intentional decisions to funnel visitors toward the new channel. Specifically, she:
The lesson? When releasing a new support channel, don’t be afraid to give extra context around it to help your shoppers understand when they should use one over the other.
The banner at the top of the website is a high-visibility location that’s especially great for getting in front of returning customers (since they may not need to visit your contact page anymore).
Brands usually use the top banner for promotions or sales, but Berkey Filters uses it for a mix of sales and support to cater to the entire customer experience. If you refresh their website a few times, you’ll see it rotate through three messages:

You might’ve picked up on this already, but Jessica was doing something really strategic with her messaging about SMS: She was promoting their first response time of 2 minutes.
That’s fast! And therefore, a pretty compelling reason for shoppers to use it over other, slower channels like email or voice.
Now, obviously this only works if your team is achieving a fast response time like that and willing to maintain it. (More on that in the next point.)
What’s important is that Gorgias gives you insights into your support team’s performance. While that’s useful for internal planning (staffing, budgeting, etc.), we also highly recommend leveraging these data points with your own customers to show the value of the support you provide.
Support stats that are great to leverage when promoting support via SMS:
We don’t currently include SMS CSAT score in Gorgias reporting. If you’d like to measure and promote your SMS CSAT score, share that product feedback here!
To help her team keep those impressive first response and resolution times, Jessica knew she needed to improve (and not just measure) those times. She set up a service-level agreement (SLA) view in Gorgias that shows SMS tickets that are open and were created more than one minute ago.
Here’s what that looks like:

This view sits at the top of their sidebar along with a few other SLA-based channel views, so agents can quickly prioritize what tickets they should solve next.
In addition to the view, Jessica created an Auto-Reply Rule that sends the first message to an SMS ticket.
This message thanks the customer for texting support, and states the business hours for Berkey Filters. We love how this helps set expectations right from the start, especially for customers who might text in outside of these hours. (So they don’t text again waiting for a reply!)
Here’s what that Rule looks like:

Last but not least, it’s worth mentioning that Jessica was also incredibly intentional about rolling all of this out to the Berkey Filters agents. Specifically, she involved them in the decision to launch the new channel, trained them on the new system, and made sure they were prepared before launch.
None of this would be possible if agents were unsure how to handle incoming SMS tickets or use the SLA view.
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We’ve already teased some of the impact that Berkey Filters has seen since adding SMS support, but how does it all add up?
In their first 30 days using Gorgias SMS, Berkey Filters:
That’s remarkable! And while those stats certainly speak to the high quality of their support team, they first needed to make customers aware and excited about the new channel. If you decide to launch a new support channel, we recommend following Berkey’s lead and creating an intentional adoption campaign to accompany the launch.
Prioritizing SMS shifts customer service conversations to a “live” channel where agents can help multiple customers at once, giving everyone a better experience.
And even if you’re strained for resources (like waiting for your developer to be able to update your store’s site) you can follow Berkey Filters’ lead and use other features and channels in Gorgias to start promoting your new channel.
Gorgias also integrates with SMS marketing platforms like Klaviyo to make texting a seamless part of your customer journey (and easy for agents to manage).
Specifically, if customers reply to an SMS sent with Klaviyo, Gorgias will create a ticket so your agents can respond right away. Plus, Klaviyo and Gorgias share customer data in real time, so you have as much information about your customers as possible in both tools:
“Having the Gorgias + Klaviyo integration has helped provide a service to our customers that we did not have before. Our customer service department is now able to provide a near-instant response via text message without having to exit Gorgias. This feature has made the entire process of getting to these tickets so effortless and much more efficient.”
— Jessica Robles, Customer Experience Analyst at Berkey Filters
To get started with Gorgias SMS, log into your helpdesk or click here to sign up for free.

Every month, our product team holds a casual, conversational event with our customers to demo new features, receive real-time feedback, and host live Q&As.
Watch the video below or read on for a recap of our latest product updates.
While Gorgias does a lot to keep your data secure, one of the best ways to add an extra layer of security is to encourage agents to use secure passwords and two-factor authentication (2FA).
And with our latest update, you can do more than just encourage. Admins can now require agents to set up two-factor authentication.
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Once an admin toggles the option, all users in your account will have 14 days to set up 2FA. After 14 days, users will need to set it up to access your helpdesk.
It can be hard to follow up with chat tickets that were left during off-business hours. Sometimes customers don’t include enough details in their message, making it harder to follow up on the next day.
Using a contact form in Gorgias Chat, you can capture a customer's email and message in a short conversational way. The contact form is designed to collect more information without disrupting the conversational experience, so you can easily follow up and help via email when you log back into Gorgias.
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The contact form prompts your web visitors to select a subject (to help you triage tickets faster), and then provide more details about their issue so your agents know what they’re trying to solve. Last, it collects the shopper’s email address so you know who to follow-up with and where to reach them. All of this information will be collected in a single ticket in your helpdesk.
Read this help center article to learn how to enable the contact form in your Gorgias chat.
Create multiple levels of categories to help your shoppers navigate to improve help center organization and find help content for related issues more easily.
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These new categories also give your team more options when creating a Help Center, so you can organize FAQs in whatever way makes sense for your brand.
Rules are a powerful feature that let Gorgias users automatically organize, tag, and reply to tickets. Thousands of Gorgias customers have adopted rules in their customer support workflow to save time and allow themselves to provide faster and higher quality service. Focusing on the common inquiries like WISMO, we’ve built Managed Rules to optimize time for Automate subscribers.
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Managed Rules are pre-built automations developed by the Gorgias team and include some of the most common and helpful automations. They need no code, no setup. Install them from the Rule Library and you’re good to go! If we improve the Rule, it will automatically update in your helpdesk, no action from you required.
Tune into the above timestamp if you want the full 25 minutes of customer questions and answers from our product team. Here were a few of the highlights!
Some features listed in Q2 of our public roadmap will indeed be released in Q2, while others will spill into Q3 (or later). We’re proud to provide transparency with our public roadmap, but please understand that it’s subject to change throughout the quarter. We do our best to update our roadmap frequently but can’t always do so right away.
Although we can’t promise to release any of these features in Q2, a few features we plan to release sooner than later include:
Our team is actively prioritizing the roadmap for Q3 right now. Check back soon to see the latest plan!
This is a limitation we’re definitely aware of, and are exploring options. The long-term solution is to build better integrations with Loop and other top returns platforms. If this is a feature you’d like to see, please submit the request here.
We’re hoping to release more features around that at the start of 2023. Today if you receive a phone call, you can always reply to that ticket via SMS. In the future, we’ll focus on helping you deflect the phone call entirely and prioritize SMS instead.
Thanks for checking out the recap of our June customer product event. We hold these events once as a month as a way to share the latest releases and connect with our customers in real-time. It’s a favorite – from both customers, and the Gorgias team.
If you’d like to sign up for the next one to attend live, you can register here. We’d love to have you join us!

There are now over 85 incredible integrations in the Gorgias App Store with the tools that power your ecommerce store. While each app is unique, together these integrations can help your agents work more efficiently to provide excellent service to your customers.
Take a look at the newest additions so far from 2022.
In the first half of the year, we’ve launched 15 new integrations for your Gorgias helpdesk:
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!

Klaviyo is an email and SMS marketing automation platform built for ecommerce. Gorgias was the first helpdesk to connect to Klaviyo SMS, allowing your brand to create seamless conversations between your marketing campaigns, shoppers, and support team.
With the updated Klaviyo integration, you can:
This integration helps you streamline customer interactions and create higher-converting marketing campaigns. To learn more, go to the Gorgias App Store.

We recently released Gorgias SMS, an easy way for your brand to offer this convenient and conversational communication channel. It’s one of the fastest-growing support channels for ecommerce brands, and one of the most reliable for customers to contact you on (since it’s not dependent on internet access).
With Gorgias SMS, you can:
Click here to learn more about Gorgias SMS, available with all plans.

Thankful AI is a platform dedicated to helping you deliver better support for the post-purchase needs of your customers. The AI is tailored specifically for retail and ecommerce businesses, so you don’t have to worry about a disjointed experience.
With this integration, the Thankful AI agent can:
This frees up your agents to focus on more meaningful conversations with customers. Visit the Gorgias App Store to learn more about the Thankful integration.

NetSuite is a cloud ERP including financials, CRM, and ecommerce. It helps brand work more efficiently, take control of inventory and fulfillment, and bring all your tools together in a unified business management suite.
Sync NetSuite data into Gorgias to give your agents important customer & order information in a single tab.
With this integration, you can:
This helps your agents have all the context they need next to every conversation they have. Visit the Gorgias App Store to learn more.

Okendo is a customer marketing platform and an Official Google Reviews partner that helps brands capture and showcase high-impact social proof such as product ratings & reviews, customer photos & videos, and Q&A messageboards.
With this integration, you can:
Visit the Gorgias App Store to learn more about our Okendo integration.

Link Narvar Return & Exchanges for Shopify with Gorgias to automate returns management and get rich insights that help you save costs and improve operations.
With this integration, you can:
To learn more about our Narvar integration, visit the Gorgias App Store.

Skio helps brands on Shopify sell subscriptions. With this integration, you can add a Skio widget to your Customer Sidebar in Gorgias. This gives your agents insights into customer subscriptions right in the helpdesk without having to switch tabs.
With this integration, you can:
To learn more about our Skio integration, visit the Gorgias App Store.

Via is a mobile commerce (SMS marketing) platform for ecommerce businesses. Send personalized messages to your customers for increased revenue and customer satisfaction.
With this integration, you can:
Visit the Gorgias App Store to learn more.

With Clyde and Gorgias working together, you can create a seamless and positive support experience by syncing all warranty data inside your Gorgias account. Stay focused and close tickets faster by viewing Clyde contracts and claims information in the same window you use to talk to customers.
With this integration, you can:
Manage warranty requests & find claims information in one tool. Head to the Gorgias App Store to learn more.

Smartrr is a seamless, full-service subscription solution. Paired with Gorgias, you can equip your team with the best customer service tools in one convenient location to increase customer satisfaction and drive customer loyalty.
With this integration, you can:
To learn more about our Smartrr integration, go to the Gorgias App Store.

ShipMonk is an order fulfillment platform for eCommerce businesses ready to scale. They offer technology-driven fulfillment solutions that enable business founders to devote more time to the things that matter most in their businesses.
With this integration you'll be able to:
Learm more about the ShipMonk integration in the Gorgias App Store.

Annex Cloud is a cloud-based customer loyalty platform for enterprises. They provide integrated loyalty, engagement, and retention solutions across a range of program types like paid memberships, incentives, and more.
With this integration, you can:
Click here to learn more about our Annex Cloud integration.

Daton can replicate Gorgias data to your data warehouse in minutes, freeing up your analysts to focus on generating important business insights instead of extracting data.
With this integration, you can sync information from Gorgias to your data warehouse like:
To learn more about Daton, visit the listing in the Gorgias App Store.

Shogun is a headless ecommerce platform built for merchants. Convert more with richer merchandising and sub-second store speed. The Gorgias integration allows merchants to add chat capabilities to their Shogun-powered shops.
With Gorgias chat on your Shogun Frontend, you can:
Click here to learn more about our integration with Shogun Frontend.

Gobot helps fast-growing Shopify stores convert more shoppers and reduce support burden with beautiful guided selling quizzes and AI-powered support chatbots.
With this integration, you can:
Visit the Gobot listing in the Gorgias App Store to learn more.

Shop2app is a mobile app builder. It’s designed for local delivery, national delivery, and in-store pickup, and also makes it easy to manage subscriptions and send push notifications to customers.
With this integration, you can:
Visit the Shop2app listing in the Gorgias App Store to learn more.
The Gorgias App Store features 85+ high-quality integrations with other leading ecommerce tools. By connecting the apps that power your store, you can give your agents the context they need to provide remarkable customer service from a single workspace. (No more switching tabs!)
To add any of these apps to your helpdesk, go to Settings > Integrations or visit the Gorgias App Store.

Each month, our product team holds a casual, conversational event with our customers to demo new features, receive real-time feedback, and answer live Q&As.
Watch the video recap here, or read on for a recap of the latest releases.
With this new channel, you can receive and respond to SMS and MMS messages within Gorgias. This makes it easy for your customers to communicate with your store while they’re on the go, and easy for your agents to provide fast, conversational support.

We’re releasing SMS this quarter as a free trial for every customer on every plan. Conversations will count toward your plan’s ticket count, but there are no additional charges for minutes, usage, phone numbers, etc. In the coming months, we’ll be assessing the best way to provide Voice and SMS so we can continue to innovate and build powerful new features for these channels.
If you want customers to consent to receive SMS messages before your agents actually reply, you can do this with a simple Rule in Gorgias. Here’s what it would look like:

Read this article for four more Gorgias Rules to help automate SMS.

This is especially great for anyone who gets tickets assigned to them, but may not be looking at Gorgias throughout their entire workday. (Think managers, social media collaborators, etc.)
To see these notifications, you may need to adjust your browser and/or computer settings. You can see an example for Chrome + Mac in our official Product Update.
Quick response flows bring in a critical component to self-service, creating more ways to engage with shoppers who visit your store online. We designed quick response flows with the guidance that 60% of the time, customers use chat to ask pre-purchase questions. Most successful merchants leverage their FAQ content to prompt conversation with quick response flows that result in generating revenue, trust and loyalty.
If you haven’t yet activated quick response flows, you’re in for a treat. With this revamp, you can now easily manipulate every step of the experience for quick response flows from self-service settings. Immediately under the Quick Response Flows tab, you can write in any question and answer you prefer and hit save. There is no other place or screen you’d need to navigate. Using the preview on the right, you can reassure the quality of the experience you want to create for your customers.

If customers click on a quick response flow and find the information they need, this will not count towards your monthly ticket volume.
If they click on a quick response flow and select “No, I need more help” option, it will create a ticket for an agent to address.
It’s amazing when our merchants start using a feature and take it to the next level. We’ve seen some of the best practices to include creating unique tags for each quick response flow created (e.g. Quick_Response_Flow_1), then adding a corresponding view in Tickets. This way, you can track closely the conversations prompted by quick response flows and dedicate a select group of agents who are trained to expand on the subject and help your customers become fans. For more on this subject, check out Quick Response Flows help doc here.
Tune into that timestamp if you want the full 25 minutes of customer-led questions and answers from our product team. Here were a few of the highlights!
Gorgias phone is an easy way to add a basic phone line to your store. If you’re looking for advanced, full call center features, our partners like Aircall or RingCentral may be a better solution for you.
For example, their phone-specific statistics are more in-depth than ours, but the ability to create a phone number and answer it in the Gorgias helpdesk is naturally easier with Gorgias.
Our long-term vision for Gorgias Phone is not to fully compete with apps like Aircall, but rather to invest in ecommerce-specific solutions so you can provide the best voice support to your shoppers.
It’s our next new channel, coming Q3! We have access to the API and are ready to start building at the end of the quarter. (Just need to polish up a few existing channel bugs first.)
Not yet, but we’d love to hear more feedback about this if it’s something you’re interested in! Submit this idea on our Product Roadmap to help us prioritize it.
That completes our recap of our May customer product event. We hold these events once as a month as a way to review the latest releases and connect with our customers in real-time. It’s a favorite – from both customers, and the Gorgias team.
If you’d like to sign up for the next one to attend live, you can register here. We’d love to have you join us!

Wondering if your team should add voice support to your ecommerce channels this year? You’re not alone.
Over 15% of our customers currently have a phone integration added to their account, thanks to the Gorgias Voice integration and partners like Aircall and RingCentral.
While voice support may feel like an “outdated” channel in the age of live chat and social media, this tells us that ecommerce support teams are increasingly finding value in offering it to their clients.
Here are 4 benefits of adding voice support to your ecommerce store:
Phones are an immediate communication channel, so it’s not surprising that adding voice support can boost your first response time. What we weren’t expecting, however, was by how much:
Our customers with phones have a first response time that’s 7x faster than merchants that don’t offer voice support. (30 minutes compared to 4 hours.)
What’s even more important to note, however, is that adding voice support doesn’t decrease resolution time (like many support managers fear). In fact, it makes quite a positive impact:
Our merchants using phones have an average resolution time that’s 34% faster than customers who don’t.
So not only does this channel help you respond to customers faster, but it helps you resolve their issues faster. That means your team can work more efficiently and spend up to 66% less time resolving each ticket. (Imagine how that could help increase your store’s revenue!)
Talking (literally) to shoppers and hearing their tone of voice is the best way your agents can adjust their responses to create a great customer experience.
While you can do your best to read clues in email and chat, it’s always going to be easier to match the customer’s tone when actually listening to them on the phone.
And when your agents can express empathy and solve the problem accordingly, you’ve got a better chance at getting that 5-star review and positive customer feedback.
Our customers using phones have an average Satisfaction score of 4.56 out of 5.
While that score also depends a lot on your support agents and their personal approach to customer service, there’s no denying that actually speaking to clients is helpful for both parties in those moments.
Especially if you sell high-end products or have VIP customers (like wholesalers buying in bulk), having a phone number adds a level of legitimacy to your business.
Since most online stores don’t immediately add phones as a support channel, it will stand out to customers when your shop does offer voice support.
Phones add a sense of maturity to your business (and especially if you’re using an integrated solution like Gorgias Voice), there’s not much cost involved to elevate the status of your store like this.
While the internet has come a long way over the years in terms of accessibility, the truth remains that phone support may be an easier and more comfortable contact method for some of your customers than digital channels.
Test your live chat experience with a screen reader, for example. What’s the experience like? (And how does it compare to dialing a phone number and talking verbally to someone?)
If there’s a chance that voice support is more approachable for a part of your customer demographic, you’ll create a better shopping experience for them by adding a phone line.
The first thing you’ll need to decide is who on your team will actually be answering the phones.
A few options to explore:
Next, you’ll need to choose a phone platform.
If you’re adding our built-in voice channel to your Gorgias helpdesk, all you have to do to get started is log into your Gorgias helpdesk and create a new number (or forward or port an existing one, if you happen to have one already).

Our phone integration is included in all Gorgias plans, and unlike other providers, there’s no annual contract fee and no minimum seat requirement.
This makes it a great option for teams looking to add phones for the first time or who want to manage all communication channels in one place.
Plus, our ecommerce integrations save your agents time by displaying callers’ shopping history right in the helpdesk, so they don’t have to go searching for the last order, for example.

For more tips on how to create efficient phone processes and increase resolution time by 34%, check out this article.
Finally, once you’ve set up your team and chosen your provider, all that’s left to do is make your number visible.
If you’re offering voice support for all your customers, you might place it in the footer of your website or all transactional emails.
If you’re piloting voice support or using it exclusively for a segment of shoppers, you might save it for smaller email segments or place it only on dedicated landing pages just for them.
Wherever you decide to put your number, just make sure it's easily accessible and clearly visible so your shoppers can start calling, and your support team can start delivering even better customer experiences!

