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Should You Offer Live Chat Support? A Guide for CX Teams

Should you offer live chat support? This guide covers the benefits, best practices, setup tips, and top platforms for ecommerce teams.
By Christelle Agustin
0 min read . By Christelle Agustin

TL;DR:

  • Live chat is the fastest way to help shoppers. It gives customers real-time answers and prevents drop-off.
  • You don’t need a 24/7 team to run live chat. Automate FAQs and set clear hours to keep it manageable.
  • Live chat improves conversions and customer loyalty. Shoppers who chat are more likely to make a purchase and return to your store.
  • Start by automating questions like order tracking and returns. These are easy to answer and make up most of your volume.
  • Gorgias makes it easy to launch and scale live chat. You can integrate with your store and go live in under a day.

According to 2025 Gorgias data, chat inquiries are resolved in 24 minutes versus two days on email. It’s no wonder customers prefer live chat over any other support channel.

If you aren’t already offering live chat, it might feel like a big commitment. But when the end product is happier customers, it’s high time to catch up.

Thinking about offering live chat? Learn more about the benefits of live chat customer support, how it differs from chatbots, when and how to use it, and the best live chat tools to use based on your team’s needs.

What is live chat support?

Live chat support is a form of customer service that uses a chat widget to intake customer inquiries. Ecommerce websites, browser-based tools, and mobile apps typically offer live chat in combination with other customer service channels like email, phone, and social media.

Depending on the business, live chat support availability can vary. Some businesses choose to run live chat within their operating hours, while others extend 24/7 availability with the help of automation, conversational AI, or a dedicated off-hours team.

A live chat conversation displayed in Gorgias along with a customer sidebar that shows a customer's order details
Manage all live chat conversations in Gorgias, alongside the Customer Sidebar, so you always have the context.

Related: Customer service messaging: Tips and templates for SMS + conversational channels

How does live chat support differ from a chatbot?

The main difference between live chat and chatbots is the option to speak to a live human agent.

With live chat support, customers always have the option of speaking to a live human agent. Meanwhile, chatbots can only provide customers with automated responses, whether preconfigured or generated by AI.

Why should you offer live chat support?

Live chat doesn’t just make support faster—it helps you close more sales.

Aside from quick answers, customers want confidence to buy. In fact, Hiver reports that 63% of consumers prefer live chat over phone and social media, mainly because they get instant answers while they’re still browsing.

Here are the benefits of implementing live chat for your business:

  • Customer satisfaction: Customers get the clarity they need while shopping
  • Higher conversions: Live chat removes friction at checkout by resolving doubts in real time
  • Faster resolutions: Support teams close tickets faster by solving issues right away
  • Revenue retention: Agents can recommend the right product, reducing the chance of returns later

Read more: A guide to resolution time: How to measure and lower it

When does live chat make the biggest impact?

Live chat shines in situations where timing directly impacts whether a customer buys your product or walks away. These conversations often happen before a purchase, like when a shopper is deciding between products, has concerns about shipping, or wants to confirm your return policy.

Use live chat in these moments:

Moment

Why Live Chat Works

Before a purchase

Provides instant product education, assurance, and curbs hesitation due to a lack of information

Order-related concern

Resolves time-sensitive questions on shipping or changes before the customer bounces

Checkout hesitation

Reduces cart abandonment by addressing doubts

FAQs

Deflects repetitive tickets through automation, freeing agents for complex conversations

High-value customers

Offers high-touch service that reinforces loyalty and drives repeat purchases

Bulk orders

Accelerates large sales by delivering clarity when urgency is high

How automation makes live chat support scalable

You don’t need a large support team to offer high-quality live chat support. Sure, live chat can feel risky if you’re a brand with a lean CX team or high ticket volume, but when you automate the right types of conversations, it becomes one of the most impactful support channels.

What to automate first

Start with high-frequency, low-complexity inquiries. These are repetitive questions that don’t require an agent to resolve:

  • Order tracking (where is my order)
  • Shipping, return, exchange, and cancellation policies
  • Basic troubleshooting
  • Product education, like sizing or fit guides

These types of tickets typically make up the bulk of your live chat volume. Automating them clears the way for agents to focus on conversations that require more specialized knowledge and nuance.

Gorgias Chat displays four FAQs that customers can click into to get immediate answers, an order tracker, and send us a message button
Gorgias Chat allows up to six one-click FAQ, an order tracker, and live chat.

Automation features that help you scale

The best live chat isn’t only a messaging tool, it also comes with features that make the support agents using it more productive.

Here are the top automation features to improve live chat:

  • Macros: One-click prewritten replies to common questions that agents can send manually or automatically.
  • Customer and product variables: Dynamic details—like name, order number, and delivery date—pulled from your ecommerce platform and inserted into messages can easily make interactions more personalized.
  • Flows: Interactive Q&A scenarios that automatically answer customer questions in the chat widget.
  • Routing: Prioritize or assign tickets to agents based on topic, urgency, or language for maximum efficiency.
  • Conversational AI: Leave live chat on 24/7 with tools like Gorgias AI Agent to answer repetitive questions and update orders—even when your team is offline.
Track, return, cancel, or report an issue with your order in Gorgias Chat
Track, return, or cancel an order right from chat with Gorgias.

The dos and don’ts of replying to a live chat message

Good live chat messages are quick, helpful, and easy to follow. Poor live chat messages are slow, robotic, or long-winded.

Follow these guidelines to help keep your replies effective and consistent:

Do ✅

Don’t ❌

Respond within your target SLA

Leave customers waiting

Keep responses concise

Send long, wordy messages

Use macros and templates as a starting point

Manually type everything again and again

Ask clarifying questions

Assume you understand everything

Be transparent if you need more time

Promise something you can’t deliver

Confirm resolution before ending the conversation

End the chat without checking if the issue is solved

How to set up live chat without overwhelming your team

Adding live chat for the first time or want to make your current setup more manageable? Start with these five steps:

1. Set live chat hours

You don’t need to be online at all times to offer live chat. Start by choosing live chat hours that reflect your team’s availability and peak shopping hours.

Remember to display your availability on your website clearly to manage customer expectations.

2. Prioritize live chat tickets in your inbox

Customers who reach out to you via chat are active on your site and often close to purchasing. 

Create rules in your helpdesk that flag live chat conversations as urgent, so they don’t get buried under slower channels like email. If you have a dedicated agent who handles chat, route all chat tickets to them for instant visibility.

3. Automate your first reply

Set up an auto-response that triggers immediately when someone starts a chat. Even a short message like “Hey! Thanks for your message, an agent will be right with you,” can reduce drop-off and give your team time to prep.

4. Edit your macros for live chat

Templates that work in email may be too wordy in chat. Shorten your macros, simplify the tone, and make sure each response fits cleanly into a chat window. Use dynamic variables to pull in details like order number or shipping status without slowing down your agents.

5. Capture customer emails when live chat is offline

Customers don't stop having problems when your team clocks out. When someone tries to chat outside business hours, collect their email so an agent can follow up once your support team is back online.

Gorgias Chat asks for a customer's email when they send a message outside of business hours.
Gorgias’s Offline Capture collects customer emails when they message you off-hours.

Best live chat tools for CX and support teams

If you’re evaluating live chat software, here are five solid options to start with. Each one fits different team sizes and priorities.

Tool

Pricing Model

Best For

Standout Feature

Limitation

Gorgias

Per ticket

Ecommerce brands

Conversational AI that handles support and drives sales with upsells, recommendations, and context-aware discounts

Limited AI features for non-Shopify ecommerce stores

Zendesk

Per user

Large CX teams with dev resources

Highly customizable for large support orgs

Built for general use, not ecommerce; limited email AI; high setup cost

Intercom

Per user

SaaS and product companies

Built-in onboarding and product messaging tools

Not ecommerce-focused; limited integrations and high AI cost

Tidio

Per ticket

SMBs looking for budget automation

Affordable chatbot + live chat combo

Lacks visual upsell tools and struggles with complex sales questions

Richpanel

Per user

Early-stage teams

Simple UI and fast time to launch

Buggy UI, no AI Agent, slow updates, poor Shopify automation

Deliver faster support without adding headcount

Gorgias helps ecommerce brands deliver fast support without cutting into your budget. Automate common questions with conversational AI, resolve tickets in seconds, support and sell, and give your team the context they need to handle complex conversations with one tool.

Want live chat that takes support to the next level? Book a demo.

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19 min read.

How Online Sizing Solutions Are Replacing the Fitting Room

Bring the fitting room online with AI sizing tools, fit finders, and at-home try-ons that cut returns and boost shopper confidence.
By Alexa Hertel
0 min read . By Alexa Hertel

TL;DR:

  • 58% of fashion shoppers “bracket” orders—buying multiple sizes and returning what doesn’t fit. This drives high return rates, increased costs, and customer frustration.
  • 70% of returns are due to sizing issues. Nearly half of shoppers abandon carts over inconvenient returns.
  • Leading solutions include: AI-powered fit tools, 3D visualizations that show scale and model stats, “fit finder” tools, at-home fitting experiences, and AI-powered customer support.
  • Brands that replicate the fitting room online gain higher retention, lower costs, and stronger sustainability.

Sizing has long been a friction point for ecommerce fashion shoppers.

Without the ability to try items on, 58% of shoppers resort to "bracketing"—ordering multiple sizes of the same piece and returning what doesn’t fit. 

While it gives customers a temporary fix, it ultimately creates frustration for them and logistical headaches for brands. 

The result is rising return rates, higher costs, and wasted resources. To break this cycle, ecommerce brands need to rethink how they guide shoppers toward the perfect fit. The good news is that many brands are already showing the way by using AI-powered tools and smarter product experiences to replicate the fitting room from the comfort of home. 

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Returns are getting unsustainable 

Recent data highlights just how severe the return challenge has become for fashion and apparel retailers: 

  • 46% of shoppers have abandoned a purchase because return methods were inconvenient. 
  • Fashion and apparel brands get twice as many return requests than any other industry.
  • According to Gorgias data, 70% of returns are due to sizing confusion.
  • “Will this fit me?” is one of the top reasons customers contact support.

In addition, rapidly rising concerns around sustainability and climate change, as well as heightened awareness around over-consumption, are prompting consumers to make changes in their purchasing habits. 

Brands who prioritize well-fitting, long-lasting pieces and reduce carbon footprints and the amount of clothing diverted to landfills by lowering returns can actually benefit from a strategic edge. 

“Those who choose to approach sustainability with a long-term mindset even while battling short-term problems will be rewarded with more efficient business operations and a competitive advantage,” writes McKinsey in its State of Fashion 2025 report.

Effective sizing solutions for ecommerce brands 

Most brands already have size charts, but shoppers don’t want to measure themselves, or find those charts to be inaccurate.  

When shoppers lack confidence in choosing the right fit, they either abandon their carts or rely on bracketing, both of which lower profitability and customer trust. 

Forward-looking fashion and apparel brands are solving sizing issues by using tools for a more intuitive shopping experience. This ultimately helps them build loyalty, increase retention, and reduce returns. 

Implement AI-powered body measurement tools

Rather than purely providing static size charts on your website, opt for AI-generated personalized fit recommendations instead. 

For example, European fashion retailer Zalando reduced size-related returns by 10% using AI-driven advice.

Two phone screens showing Zalando app size recommendations and product page.
Zalando provides size recommendations based on what’s in a customer’s cart.

The brand flags whether an item is true to size or not. It also offers the ability for customers to see recommendations based on logged fit-based return reasons,  past purchases, and other clothing items that fit them well. 

Zalando also launched a body measurement feature in 2023 where shoppers can actually scan themselves for more accurate size advice.  

Zalando app shows body measurements and personalized clothing size recommendations.
Zalando uses machine learning to predict customer sizes by scanning customer photos.

Show size and scale in product photos 

As AI grows in proficiency, there are more tools than ever to help shoppers visualize product scale and fit. 

For example, accessory shop LeSportsac uses Tangiblee, a product experience tool, to help customers understand scale and what fits inside each bag.

Online tool Tangiblee shows tote bag size on a silhouette model with comparison items below.
LeSportsac helps shoppers visualize the capacity of their bags with a 3D visualization tool by Tangiblee.

Performance hunting gear shop KUIU takes another approach. It uses a photo-based layering guide, so shoppers can see how the size and fit look with multiple layers on a model. Different model stats shown within product photography give contextual sizing cues.

Male model shows four layered hunting outfits with listed gear details on the right.
KUIU visualizes size and fit with full body photos of models in their clothes, including model height and clothing sizes.

Sleep shop Cozy Earth takes a similar route, stating model height and size on product photos.

Woman models olive bamboo pajama set with button top and pants on Cozy Earth product page.
Cozy Earth's product photos include the model's height and clothing size.

Introduce “fit finder” tools 

Some brands are helping shoppers pick the right size with interactive quizzes based on factors like height, weight, and the sizes of other clothing items that fit well. SuitShop is among those brands using a Fit Finder quiz on its website.  

SuitShop fit finder page with couple in matching cream suits walking.
SuitShop offers a fit finder quiz to match customers to their perfect suit size.

Similarly, Psycho Bunny leverages the AI tool True Fit as a size finder on product pages. 

Psycho Bunny men's polo page with True Fit sizing tool overlay.
Psycho Bunny uses True Fit to provide recommendations that match customer measurements.

Bring the fitting room home 

Ergonomic shoe brand Orthofeet eliminates sizing qualms altogether by including customizable inserts inside each box. Fitting spacers ensure a snug fit and arch enhancement for those who need it, helping shoppers get comfortable shoes that fit.

Orthofeet shoe display highlighting wide toe box and comfort features.
Orthofeet assures customers about sizing by including removable spacers in all orders.

Jonas Paul Eyewear shares the “try it on at home” approach, offering a free or low-cost home try-on kit. 

Jonas Paul kids home try-on glasses kit with multiple frames in box.
Jonas Paul sells home try-on kits to bring the sizing experience to customers.

Leverage AI-powered customer support

Gorgias Shopping Assistant helps brands meet that need by delivering human-like guidance at scale, giving shoppers instant answers that feel personal. 

For example, VESSEL uses Shopping Assistant in chat to provide real-time support on sizing and inventory, helping customers choose with confidence. By addressing fit questions directly, Shopping Assistant reduces returns and builds trust at the point of purchase.

A customer asks Gorgias Shopping Assistant about golf gloves for women.
Gorgias Shopping Assistant helps a customer find women’s golf gloves.

Similarly, outdoor clothing retailer Arc‘teryx provides an “ask me anything” AI chat where shoppers can confirm any questions they have around fit or sizing. 

Arc'teryx Atom Hoody women's product page with AI shopping assistant chat.
Arc'teryx uses AI to answer questions about their Atom Hoody.

The future for ecommerce size guides 

Sizing for ecommerce fashion and apparel brands has become a business-critical challenge. With 70% of returns tied to fit issues and nearly half of shoppers abandoning purchases over inconvenient returns, brands that replicate the fitting room online stand to gain a competitive advantage.

From Zalando’s 10% reduction in size-related returns to VESSEL’s use of AI-powered chat, the path is clear: investing in smarter size chart solutions pays off with higher retention, lower costs, and stronger sustainability. 

The brands that provide fitting room-level experiences online now will set themselves apart from the rest.

Book a demo to see how Gorgias, the leading conversational commerce platform, helps fashion brands cut returns, drive sales, and deliver fitting-room level experiences online.

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min read.

Conversational Commerce: A Complete Beginner's Guide

Speaking to customers in real time is the future of ecommerce—faster, smarter, and built for how people actually shop today.
By Holly Stanley
0 min read . By Holly Stanley

TL;DR:

  • Conversational commerce replaces static support with real-time conversations. Instead of making customers wait or dig through FAQs, brands can respond instantly via chat, messaging apps, and voice assistants.
  • The main types are live chat, AI assistants, messaging apps, and voice support. Each helps guide shoppers and answer questions instantly.
  • It’s most effective during key moments like cart hesitation, post-purchase anxiety, and peak seasons. Proactive conversations reduce drop-offs and boost conversions.
  • Start small and scale. Begin with repetitive questions or cart recovery, then layer in automation and AI as you grow.

While your competitors are still making customers wait days for email replies, the smartest brands are having conversations that close sales in real time.

Instead of forcing customers to search through FAQs or go through an automation loop, conversational commerce lets you have instant chats through live chat, messaging apps, and even AI assistants.

In this guide, we’ll explain conversational commerce, where it delivers the most value, and how to start using it to drive revenue and improve CX without overwhelming your team.

What is conversational commerce?

Conversational commerce means using real-time, two-way conversations as your storefront. Rather than bottling up questions in FAQ pages or forcing customers to wait for your support team to respond, you can instantly connect via:

  • Chat
  • AI agents
  • Messaging apps
  • Voice assistants

Maybe someone is on your product page and asks a question like, “Does this jacket run large?”. Through chat, they get an instant answer, increasing the chance of a sale. Or a shopper receives personalized recommendations via WhatsApp and checks out, all without leaving the app.

These channels allow you to meet customers where they already are, effortlessly. When paired with AI chatbots, you can deliver fast, accurate responses 24/7, even while your team is off the clock. That means better experiences for your customers and more sales captured for your brand.

Conversational commerce bridges the gap between shopping and support. It turns your support team (and AI tools) into revenue drivers by helping shoppers feel seen, heard, and ready to buy.

Types of conversational commerce

Conversational commerce means bringing your storefront into the flow of conversation, wherever that happens for your customers. 

Here’s where those conversations typically happen:

  1. Live chat
  2. AI assistants
  3. Messaging apps
  4. Voice assistants

1. Live chat

This is a chat widget on your site, often in the bottom right corner, where shoppers can ask questions and receive immediate answers from a human agent or automation.

It’s a quick path to support or purchase, which one agent can manage multiple chats from simultaneously, boosting efficiency and keeping things personal.

2. AI assistants

These smart helpers use Natural Language Processing (NLP) to understand what shoppers mean beyond what they type. They guide customers through questions, offer product suggestions, handle FAQs, and can sometimes complete transactions right in the chat, even handling post‑purchase support like order status or returns.

Natural Language Processing (NLP): The processing of understanding and interpreting natural language using computers. NLP is used in tasks such as sentiment analysis, summarization, speech recognition, and more.

3. Messaging apps

Think WhatsApp, Facebook Messenger, WeChat, and SMS—the apps where customers already spend their time in their day-to-day. Instead of sending them to shop on your website, you bring the shopping to them. Answer their questions, provide recommendations, and win purchases in a channel they already trust.

4. Voice assistants

Voice assistance isn’t limited to smart speakers like Siri and Alexa anymore.

Now, AI voice support lets brands deliver natural conversations over the phone, without needing a massive contact center team. These AI voice agents can:

  • Answer common questions using branded knowledge
  • Route calls or escalate when needed
  • Handle returns, exchanges, or order tracking
  • Personalize support based on customer intent and past behavior

AI-powered voice support combines the human feel of a phone call with the speed and accuracy of automation. It's especially useful for high-ticket products, customers who prefer calling, or peak season overflow when your human team is maxed out.

The benefits of conversational commerce for ecommerce brands

Conversational commerce isn’t a CX buzzword. When done right, it directly impacts your bottom line.

Here’s how it pays off for ecommerce brands:

  1. Higher conversion rates
  2. Faster and more efficient support
  3. Bigger carts, fewer drop-offs
  4. Stronger customer relationships

1. Higher conversion rates

When customers can ask questions and get answers in real time, whether it's sizing info, shipping details, or help choosing between products, they’re far more likely to hit “buy.”

Success story: Clothing brand Tommy John generated $106K+ in sales in just two months through conversation-led upselling and cross-selling, with a 15% conversion rate.

2. Faster and more efficient support

Conversational commerce tools like AI agents help offload the repetitive support tasks, including answering questions like “Where’s my order?” or “What’s your return policy?”

With that time back, agents get time back to:

  • Handle complex or sensitive customer issues
  • Follow up with VIP customers
  • Collaborate with marketing and sales teams to improve processes
  • QA conversations to enhance human and AI agent performance
  • Update knowledge docs used by AI tools for more accurate resolutions

Instead of getting buried in basic tickets, your team gets to do the work that really moves the needle for your customers and your business.

Related: Every successful marketing campaign starts with a customer question

3. Bigger carts, fewer drop-offs

The right nudge at the right moment, like a personalized recommendation from an AI shopping assistant, can turn a single item into a full cart. You can also recover more abandoned checkouts by re-engaging customers directly through chat or a messaging app.

Read more: You’re missing out on sales without an AI shopping assistant—here’s why

4. Stronger customer relationships

Conversational commerce lets you meet customers with a human (or human-like) touch. When your brand is helpful, fast, and easy to talk to, shoppers remember and return. 

In the long run, that means better customer retention, higher lifetime value, and more organic growth through word of mouth.

When conversational commerce creates the biggest impact 

Conversational commerce shines brightest when the stakes are high or when the moment is just right.

Here are the critical moments where a real-time conversation can make all the difference:

  1. When shoppers have items in their cart but are hesitating to check out
  2. Right after customers place an order, and anxiety starts to kick in
  3. During peak shopping seasons like Black Friday and Cyber Monday
  4. When customers are browsing complex products like skincare, makeup, or apparel

1. When shoppers have items in their cart but are hesitating to check out

A customer’s on your product page, they’ve added an item to their cart, but are hesitating. Maybe they’re unsure about sizing, shipping time, or which variation to choose. This is where a quick, helpful chat, automated or human, comes in and becomes the difference between bounce and conversion.

Pro tip: Use proactive chat prompts based on page behavior to start the conversation before the shopper leaves.

2. Right after customers place an order, and anxiety starts to kick in

After a customer hits “place order,” expect more questions to roll into your inbox. Where’s my order? How do I track it? What’s your return policy? Post-purchase excitement—and anxiety—is normal, and a smart AI agent helps you get ahead of these questions while putting customers at ease.

3. During peak shopping seasons like Black Friday and Cyber Monday

Black Friday. Holiday rush. Product drops. These are prime opportunities to boost revenue—but they also flood your support team. Conversational commerce tools help you scale without sacrificing quality, keeping shoppers happy and sales flowing.

4. When shoppers are browsing complex products like skincare, makeup, or apparel

If you sell skincare, supplements, tech, or anything that requires a bit of education, your customers likely need guidance before they commit. A personalized conversation helps them find the right fit and feel more confident in their purchase.

What to consider before you start

Conversational commerce sounds exciting, and it is. But before you dive in, it’s worth thinking through a few key factors to set your team (and your customers) up for success.

  1. Cost vs. ROI: Start small, scale smart
  2. Team resources: Who’s managing the conversations?
  3. Customer expectations: Meet them where they are

1. Cost vs. ROI: Start small, scale smart

You don’t need a full-blown chatbot army on Day 1. Start with your highest-impact touchpoints, like pre-sale FAQs or WISMO questions, and layer in automation over time. The goal is to generate clear ROI early, then expand once you see traction.

Here’s how to gradually implement automation into your CX process:

  • Identify your top repetitive questions. Use your support data to pinpoint your most common tickets. For most brands, these are WISMOs, shipping concerns, and product-specific questions.
  • Create macros for your most-asked questions. These macros will be used to answer the top recurring questions. For agents, this means no more copy-pasting the same responses.
  • Build out self-service automation flows. Once you’re feeling more comfortable with automation, set up self-service flows to let customers resolve their own needs, like checking order status, starting a return, or finding their size.
  • Automate your top channels. Don’t stop at email. Automate responses on live chat, Instagram DMs, and SMS too. Shoppers expect speed everywhere, not just on your site.
  • Maintain impact, then introduce conversational AI. If your CSAT is still healthy after these changes, you can expand to using conversational AI for faster support and team efficiency.

The goal isn’t to automate everything, it’s to automate smartly so your team can spend time where it counts: high-touch sales, VIP support, and strategic growth.

Learn more: How Dr. Bronner's saved $100K/year by switching from Salesforce, then automated 50% of interactions with Gorgias

2. Team resources: Who’s managing the conversations?

Do you have in-house agents ready to handle live chat? Or do you need automation to handle the bulk of it? Make sure your setup aligns with your team’s bandwidth.

Pro tip: Tools like Gorgias AI Agent and Shopping Assistant can handle the support and sales heavy lifting, making them perfect for lean CX teams.

3. Customer expectations: Meet them where they are

Your customers aren’t just on your website. They’re messaging on Instagram, browsing via mobile, or checking their texts. To deliver great conversational commerce, you’ll want to show up in the places your shoppers already use.

Pro tip: Don’t spread your efforts too thin. Start with the channel that aligns with your goals and customer behavior, live chat, SMS, or social DMs, and build from there.

How to get started with conversational ecommerce in 2 steps

Ready to make conversational commerce part of your CX strategy? You don’t need to overhaul your tech stack or hire a whole new team. With Gorgias, you can start fast, stay lean, and scale smart.

Here’s how:

1. Start with AI Agent for 24/7 support

Gorgias AI Agent is designed to take repetitive tickets off your team’s plate, from “Where’s my order?” to “How do I make a return?” It understands natural language, pulls in relevant customer data, and responds in seconds—all using your brand’s approved knowledge.

The result is faster responses, fewer tickets, and more time back for your team.

Gorgias AI Agent supports and performs actions on behalf of customers.

2. Add Shopping Assistant to drive revenue

While AI Agent, covers the support front, Shopping Assistant is your digital salesperson. It engages high-intent shoppers in real time, recommends the right products, and even upsells or cross-sells based on what the customer is browsing.

Whether it’s helping someone choose the perfect shade or nudging them to complete their cart, Shopping Assistant is designed to increase AOV and reduce abandonment.

Gorgias Shopping Assistant understands context and suggests products to browsing shoppers.

The future of ecommerce is conversational

Every time a shopper lands on your site, scrolls through Instagram, or replies to a shipping update, they’re opening the door to a conversation. The brands that show up quickly, helpfully, and with the right message, are the ones winning loyalty and revenue.

With AI Agent, you can automate accurate responses to common questions, giving your team time back without sacrificing customer experience. And with Shopping Assistant, you can turn those conversations into conversions, offering personalized recommendations, upsells, and discounts based on shopper intent.

You don’t need a massive team or months of setup to start. Just the right tools, and a strategy built for your customers.

Book a demo and learn how Gorgias helps you turn every conversation into an opportunity to grow.

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min read.
Create powerful self-service resources
Capture support-generated revenue
Automate repetitive tasks

Further reading

Why Your Strategy Needs Customer Service Quality Assurance

By Alexa Hertel
min read.
0 min read . By Alexa Hertel

TL;DR:

  • Manual QA is time-consuming and inconsistent. Reviewing conversations manually makes it difficult to ensure uniform quality across agents and touchpoints.
  • Automating QA saves time and improves accuracy. Automation ensures all tickets are reviewed with the same quality, freeing up agent time to create stronger customer connections.
  • QA helps teams continuously improve. It enables better agent training and brings forth actionable feedback to exceed customer expectations.
  • Implement QA one step at a time. Begin by setting KPIs, introducing small changes, and investing in automation tools to streamline and measure success effectively.

Forrester’s 2024 Customer Experience Index reports that 39% of brands’ customer experience (CX) quality has declined over the past year.

It can be challenging to get a full understanding of how your team—and AI, if you use it—are truly performing.

This is true even with metrics like CSAT

“A 5-point scale only tells you and your agents so much, and relying on consumers providing feedback further limits what you’re able to look at and learn from,” says Kayla Oberlin, Senior Manager of Customer Experience at amika

Quality Assurance (QA) is becoming a more crucial component of a customer experience strategy, especially one that prioritizes customer happiness. 

We’ll cover the importance of customer service QA, best practices, tools, and tips to implement QA effectively.

🗺️ This article at-a-glance

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What is QA (Quality Assurance) in CX? 

In the CX context, QA (Quality Assurance) refers to reviewing customer conversations to improve your support team’s performance and enhance customer satisfaction. QA ensures a consistent and satisfying customer journey across touchpoints, including your website, support channels, and social media.

Common QA pain points for CX teams 

Aside from accuracy issues, a manual quality assurance process is:

  • Time-consuming: Manual conversation reviews are slow and labor-intensive.
  • Limited visibility: It’s difficult to get a clear, scalable view of team and AI performance.
  • Inconsistent: Maintaining uniform quality across customer service teams can be tough.
  • Resource allocation: Difficulty in ensuring the right skills, training, and resources are in place.
  • CSAT limitations: Negative scores often reflect policies, not agent performance.

The solution isn’t for CX teams to skip the QA process altogether but to automate it.

According to research from McKinsey, “A largely automated QA process could achieve more than 90 percent accuracy—compared to 70 to 80 percent accuracy through manual scoring—and savings of more than 50 percent in QA costs.”

With an automated QA process, brands can:

  • Save time: Automated quality checks help support agents to focus on the most critical tickets.
  • Ensure consistency: Both human agents and AI agents are evaluated with a unified, comprehensive QA score.
  • Boost performance: Agents receive targeted coaching to provide more consistent customer experiences.
  • Meet customer expectations: Customers benefit from higher-quality support with quicker resolutions and accurate responses.

Why QA is critical for customer experience

According to Statista, 94% of customers are more likely to purchase again after receiving top-notch support. Quality assurance ensures that every customer gets the same experience, and provides agents with the feedback to learn and stay on-brand with each resolution.

At its core, QA: 

Consumer attitudes and behaviors based on their customer service experience worldwide as of May 2022, Statista
Consumer attitudes and behaviors based on their customer service experience worldwide as of May 2022, Statista

Prevent errors 

Addressing errors early is important, as even small mistakes can harm customer trust and create lasting negative impressions. QA tools can prevent mistakes because of better coaching and training. This can stop misinformation in its tracks –– and from escalating into bigger problems down the line. 

Ensure consistency 

QA makes sure that all customer touchpoints, like calls, emails, live chat, and even AI responses, are handled with the same level of care. This is especially helpful when training new team members, introducing new products or policies, or during high-traffic periods.

Build trust 

Consistent and reliable experiences build customer trust and loyalty. If you were to reach out to a brand and have an amazing experience the first time but a bad experience the next, you’d probably question which experience was the norm. 

Top-notch experiences that happen time and time again tell your customers that you’ll always be there to help. This can boost repeat sales and even referrals:  According to Statista, 82% of customers recommend a brand after a great experience.

Personalize experiences 

Aside from increasing happiness and making customers feel heard and appreciated, personalized support also affects your bottom line. Statista notes that 80% of businesses found that providing personalized customer experiences led to increased spending for consumers.

Aids in better coaching and training 

With QA, teams are able to rate and review all tickets instead of spot-checking. This provides them with a:

  • Quicker turnaround on coaching opportunities
  • Wider volume of tickets they can review, learn from, and use for training
  • Better understanding of when a Macro or a process is leading to incomplete or unhelpful conversations
  • Bigger opportunity for constructive feedback and flow improvements that are based on real responses and not frustrations with brand policies

Continuously improve

Whether it’s lowering resolution times, introducing a knowledge base, or adding AI Agent to your team, making continuous improvements will help you stay ahead of the competition.

Implementing a QA program (especially if you can automate it) is one of those additions that provides you with the refinements you need on a resolution-to-resolution level.

Best practices for implementing QA in CX

QA best practices include: 

Establish a baseline for metrics and KPIs 

As you set out to integrate a Quality Assurance process into your CX program, first establish benchmarks for various metrics and KPIs. These benchmarks help track and evaluate the performance of QA as you implement it. 

If you don’t already track customer support metrics, CSAT, first response time (FRT), resolution time, and net promoter score (NPS) are great ones to start with. 

💡Tip: If you use Gorgias, you’ll find your current support performance statistics in the Statistics menu. Make sure that you can see back at least six months. Then, compare an equal time frame for post-QA implementation.

Monitor and evaluate regularly

While it might sound a bit “meta” to monitor your quality assurance (which is already monitoring your support responses), it’s still worth noting. 

Ensure that your QA process works smoothly, helps your metrics rather than hurts them, and provides actual helpful feedback to your agents. 

Implement automation tools 

The simplest way to maintain your support quality standards is to use an automated QA tool. Automating the QA process lets CX teams get deeper insights into agent strengths and areas for improvement, and captures deeper insights than a CSAT score could.

Collect customer feedback 

Understanding how customers feel will allow you to fine-tune your processes and ensure you’re delivering a consistent and high-quality experience. Here are a few ways to collect feedback:

  • Surveys and reviews - Post-interaction surveys or direct reviews provide real-time feedback on what customers think of their experience.
  • Social listening and real-time feedback - Monitoring online reviews, social media mentions, and customer comments offers insight into how your customers are feeling that might not be captured through formal surveys. 

Challenges of adding QA

Lack of resources, ineffective training, poor communication between team members, not having the right tools, and doing everything manually are some of the challenges you can encounter when adding a QA process.

Here are a couple of solutions we recommend:

  • Start with phased rollouts. Rather than rolling out a QA process across your whole team, let more seasoned agents experiment with it first to give you feedback and make tweaks.
  • Make incremental improvements. Changing an entire CX process at once to include QA can be overwhelming. We recommend making small changes (like starting to send CSAT surveys if you don’t already) one at a time. These changes will allow you to better measure what’s really working. 
  • Invest in better technology. A manual QA process can be more time-consuming than helpful. Look for an automated QA tool that’s already integrated into your helpdesk. It will allow you to measure AI and agent responses equally, while also measuring results from a handy dashboard. 

Ensure customer experience meets quality standards

By prioritizing QA, your team can identify potential problems early, reduce errors, and improve overall performance, leading to a smoother, more reliable experience for customers –– and your CX team. 

In the long run, brands that focus on QA can gain a competitive edge, building stronger relationships with customers and driving sustainable growth. Book a demo now.

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Building Customer Loyalty Through Effective Post-Purchase Support and Automation in Ecommerce

By Rebecca Lazar
min read.
0 min read . By Rebecca Lazar

Let's talk about something that often gets overlooked in ecommerce: what happens after someone hits that "Place Order" button. You might think the hard part's over once you've made the sale, but here's the thing  the post-purchase experience can make or break your relationship with customers. 

In today's competitive online marketplace, those relationships are everything — especially considering that loyal customers spend an average of 67% more per purchase than new customers.

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The importance of post-purchase support and automation in ecommerce

Providing an excellent post-purchase customer experience can turn one-time customers into loyal advocates who are more likely to make repeat purchases and recommend your brand to others.

It's all about the customer experience

When someone buys from your store, they're not just getting a product — they're starting a relationship with your brand. 

A great post-purchase experience shows customers you actually care about their satisfaction beyond just making the sale. 90% of U.S. customers say that an immediate customer service response is "important" or "very important.”

90% of US customers say that getting an immediate response is important

When you nail this part, something magical happens: one-time shoppers transform into passionate advocates who not only come back for more but can't help telling others about their amazing experience with your brand.

Having accessible support and an efficient and easy returns process may make the difference between a happy customer and an unsatisfied one.

Building trust that lasts

Trust is everything in online shopping. When customers feel supported after making a purchase, they're much more likely to give you the benefit of the doubt if something goes wrong down the line.

It's like building a friendship: every positive interaction adds another layer of trust. And that trust translates directly into repeat business and glowing recommendations. 

The post-purchase support experience makes a huge difference in building that trust. In fact, 96% of customers say excellent customer service builds trust.

Keeping your return rates down

Great post-purchase support can actually help reduce your return rates. By addressing concerns quickly and providing clear information upfront, you can prevent many returns before they happen.

This can save you money on shipping and restocking and create a smoother experience that keeps customers happy and your business healthy.

Making processes more efficient

Automation eliminates manual tasks, freeing up your team to focus on more strategic initiatives. By automating repetitive tasks, you can improve efficiency and productivity, allowing your team to focus on more value-added activities. 

You can automate everything from customer support to returns and exchanges to your order tracking and more. Besides meeting customers' straightforward needs, automation allows you to focus your team's energy on solving bigger problems and strengthening customer relationships.

Accuracy, guaranteed

Automation helps ensure consistency across all your post-purchase processes. 

When customers know they can count on a reliable experience every time they shop with you, it builds confidence in your brand. 

Plus, fewer mistakes mean happier customers and less time spent fixing problems.

Creating better customer experiences

Speed matters in today's world, and automation helps you deliver faster, more personalized responses to customer needs. 

Whether it's instant order updates or quick responses to questions, automation helps you meet and exceed customer expectations. The result? More satisfied customers who feel valued and understood.

How to automate the post-purchase experience for better loyalty

Here are some ways to automate the post-purchase experience:

Automate your returns and exchanges process

Streamline the returns process with automated return labels, tracking, and updates. Use ReturnGO to automate this process, saving time and reducing manual errors. With automated returns, you can provide a hassle-free experience for customers, encouraging them to return to your store in the future.

Automated returns can help to improve the customer experience by making the returns process easier and more convenient. 65% of customers say the speed and ease of refunds affect where they choose to shop. 

By automating tasks such as generating return labels and tracking packages, you can reduce the time and effort required for customers to return items. 

Think about it from their perspective — if returning an item is hassle-free, they'll feel more confident buying from you in the future. It's like having a safety net that makes customers more comfortable taking chances on new products.

Centralize customer support

In today's fast-paced world, customers expect quick and efficient support. Using a customer experience platform like Gorgias, you can manage all your customer support tickets in one place, making it easier to provide fast, accurate help when people need it.

By centralizing your post-purchase support, you can manage support tickets more efficiently, respond to customer inquiries quickly, and provide the most up-to-date information. This centralized approach can hugely improve response times.

Keep customers in the loop

Nobody likes being left in the dark about their order. Automated post-purchase notifications keep your customers informed every step of the way - from order confirmation to delivery and returns. Using tools like ReturnGO, you can send personalized updates that make customers feel looked after. This is essential for building customer loyalty. 

Keeping customers informed about their orders can help reduce customer anxiety. When customers know what to expect, they’re less likely to worry about their purchase and are more likely to keep buying from you again and again. 

ReturnGO keeps customers updated

Create an integrated workflow

To truly streamline your post-purchase customer service, if you connect your returns management system with your customer support system, you really bring all of the pieces of a puzzle together.

When these two systems are in sync, you can create a smooth workflow that makes things easier for both your team and your customers.

By automating tasks like creating support tickets and processing returns, you can save time and create a more reliable, efficient system that helps you serve customers better. No more jumping back and forth between systems to check on a return when a customer reaches out about it.

The ReturnGO-Gorgias integration makes this happen seamlessly, with features like:

  • Automatic ticket generation: When a customer requests a return, a support ticket is automatically created on Gorgias, saving you time and preventing errors.
  • Real-time updates: Return request information is automatically updated from ReturnGO to Gorgias, so your team always has the latest details right there.
  • Centralized system: No more digging through multiple systems. This means your support agents always have access to the most up-to-date information and respond quickly and efficiently to customers.
  • Smart widget: The ReturnGO-Gorgias integration includes a widget embedded in your Gorgias dashboard, for managing RMAs directly from within Gorgias. This widget enables your team to:
    • View RMA information: See all the relevant details about a return, including the customer's information, the items being returned, and the reason for the return.
    • Take actions on the RMA: Easily approve or reject a return request directly from Gorgias.
ReturnGO x Gorgias widget

The ReturnGO-Gorgias integration makes it easy for your team to manage returns and communicate with customers without having to jump between systems to hunt for information.

The path to lasting customer loyalty

So, there you have it! In the world of online shopping, how you handle the after-purchase experience can be just as important as making the sale in the first place.

By automating your post-purchase process, you can create a seamless and satisfying customer experience. 

Tools like ReturnGO and Gorgias can help you create the kind of experience that builds customer loyalty.

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How to Customize AI Agent with 7 Brand Voice Examples

By Christelle Agustin
min read.
0 min read . By Christelle Agustin

TL;DR:

  • AI Agent adapts to your brand's unique tone of voice. Choose from three default voice options (Friendly, Professional, and Sophisticated), or create countless types of tone with the Custom option.
  • Aligning AI with your brand voice builds consistency. A consistent tone in customer interactions helps build trust and brand loyalty.
  • Specify what AI Agent can and can’t say. Like your human agents, tell AI Agent your brand do’s and don’ts. From going all out with fun and emoji-filled replies to avoiding certain words, use custom instructions to make AI Agent sound distinctly on-brand.

People are only able to identify AI-generated content 46.9% of the time. That’s less than half the time!

In the ecommerce customer service industry, this is just one reason teams are getting more comfortable with using AI.

Better language processing abilities mean AI can be a better extension of CX teams, relieving agents of repetitive questions, like where is my order?, while speaking in a way that’s familiar and delightful to customers.

Upholding a strong brand voice should be one of your top priorities in CX. With Gorgias AI Agent, you can choose AI Agent’s exact tone of voice, from sophisticated to fun. Below, check out seven AI Agent brand voice examples from real customer conversations.

“We’ve had customers respond to the AI thinking they were speaking to a real person. That’s how elevated the response was from AI.”

—Emily McEnany, Senior CX Manager at Dr. Bronner’s

What is Tone of Voice?

Tone of Voice refers to how AI Agent communicates with your customers. In Gorgias, you can select from three pre-built tone options: 

  • Friendly
  • Professional
  • Sophisticated

Or, you can create a custom tone, keeping your brand guidelines, style guide, and target audience in mind.

Note: AI Agent and Tone of Voice are only available to Gorgias Automate subscribers.

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7 Tone of Voice Examples for AI Agent to Match Your Brand's Style

Explore how effectively AI Agent adapts to seven distinct tones in the examples below. First, we’ll show you what a preset AI Agent tone option sounds like, then we’ll move on to six examples using custom instructions.

Feel free to copy and paste our provided instructions to set up your AI Agent with the custom tone of your choice, or, even better, take some inspiration to create your own. 

1. Friendly

A friendly AI Agent is the go-to for most CX teams. A Friendly tone of voice is outgoing and welcomes inquiries with enthusiasm. If you were to imagine the model support agent, they would speak like this.

The Friendly tone of voice is available by default in AI Agent’s settings.

How it looks in action

Here’s how an AI Agent with a Friendly tone of voice responds to a customer asking for samples and coupons:

Default Friendly AI Agent voice
AI Agent lets a loyal customer know about the brand’s 10% discount.

2. Direct and brief

Now, we move away from AI Agent’s default Tone of Voice options and toward the vast possibilities of the Custom option.

If you prefer your AI Agent get to the point in as few words as possible, create a Custom tone of voice that breaks up text into separate lines, limits paragraphs to two to three sentences, and keeps responses short. 

💡 Tip: Access a custom tone of voice by going to Automate > AI Agent > Settings > Tone of Voice > Custom. A text field will appear where you can write your instructions.

AI Agent Custom Tone of Voice

Tone of voice instructions:

Acknowledge the customer's feelings by briefly repeating their initial concern(s). Break text up, don’t send entire paragraphs, and keep responses short and easy to read. Keep interactions brief but filled with empathy. We are not long-winded. Keep an informative tone while remaining professional, clear, and easy for customers to follow. Insert links where needed. Don't use too many adjectives when expressing empathy. Never tell the customer to email support or contact our customer service team.

How it looks in action

Here’s how an AI Agent with a direct and brief tone of voice responds to a customer who wants to cancel their order:

Custom direct and brief AI Agent voice
AI Agent directs a customer to their brand’s return portal without being too wordy.

3. Fun (with lots of emojis! 🤗)

Who says support agents can’t have personality? Bring some fun into your conversations by creating a custom tone of voice that allows your AI Agent to use emojis and exclamation points.

Tone of voice instructions:

Greet with first name only. Acknowledge the customer's feelings by repeating their initial concern(s). Be concise and provide shorter responses, try to keep your responses to a few sentences. Use a warm, positive, and engaging—like chatting with a helpful, considerate friend. Sign off with "Best Regards". Avoid jokes or comments related to sensitive topics. Make the customer feel like a friend. You can include approved emojis for a personal touch and exclamation points. Approved emojis to use: 💞🫶✨🥰💖🎀💓💘🥳💗💕💯 You should recognize and celebrate personal milestones mentioned by customers, making the interaction feel more personal. After the customer's initial message, there's no need to restate their issue in follow-up responses.

How it looks in action

Here’s how an AI Agent with a fun tone of voice responds to a customer asking about exchanging their damaged product:

Custom fun emoji AI Agent voice
AI Agent replies to a customer in a bubbly manner, even using heart emojis.

4. Comforting

Customer support often gets a bad rep. Customers anticipate long response times and unpleasant interactions. Flip customer expectations by giving your AI Agent a calming and comforting voice that can instantly fix negative experiences.

💡 Tip: Brands in the wellness and baby industry would do well to use a comforting tone of voice for their AI Agent.

Tone of voice instructions:

Our brand embodies the role of a nurturing parent, promoting happiness, growth, and well-being while creating moments of joy and inspiration. Stay genuine and reflect childlike wonder without being overly sentimental. We maintain a positive and supportive tone, offering a safe, comforting space. Avoid admitting fault or apologizing. Be shorter in replies. Do not offer replacements. Do not give out phone numbers.

How it looks in action

Here’s how an AI Agent with a comforting tone of voice responds to a customer asking about exchanging their damaged product:

Custom positive and comforting AI Agent voice
AI Agent is empathetic and understanding to a customer who is asking about stock availability.

5. Bro-y

Give your AI Agent a laid-back, “we’ve got your back” vibe that feels like chatting with a buddy. This tone keeps things casual, approachable, and like you’re ready to tackle any issue together.

Tone of voice instructions:

Sound like a gym bro. Speak casually and friendly. Be eager to help. However, do not go overboard with puns or stereotypical phrases. You may use the following emojis: 🤙💪🏋️ End responses with "Stay awesome,"

How it looks in action

Here’s how an AI Agent with a bro-y tone of voice responds to a customer asking about glove sizing:

AI Agent responds to a glove sizing question
AI Agent embodies your average bro and answers a customer’s question about glove size.

6. Punny

If your brand isn’t afraid to lean into humor and puns, this tone will definitely connect with your audience. Let your AI Agent use wit and clever wordplay to keep conversations lighthearted and customers smiling at their screens.

Tone of voice instructions:

Speak in bee and honey puns and use colorful emojis. Use at least one emoji per message. Keep your messages brief. Sign off with a different pun in every conversation. If a customer is upset or needs urgent help, avoid puns. 

How it looks in action

Here’s how an AI Agent with a punny tone of voice responds to a customer asking about suit sizes:

AI Agent uses bee puns to answer a customer
AI Agent uses bee and honey puns to reply to a customer asking about size availability. 

7. Bonus: Robotic

In all of our examples, AI Agent responses can easily be mistaken for one of your human agents. But if, for any reason, you want to change that by making your AI Agent sound robotic — it’s possible.

Tone of voice instructions:

Sound like a robot. Make robot sounds and puns. Use short, direct, and easy-to-read sentences.

How it looks in action

Here’s how an AI Agent with a robotic tone of voice responds to a customer asking about exchanging their damaged product:

Custom robot AI Agent voice
AI Agent speaks like a robot to a customer.

Say it how you want with AI Agent

Like a chameleon, AI Agent adapts to your brand voice. Whether it’s friendly, professional, or a custom tone, you can be sure that every interaction aligns with your brand’s identity. 

With AI Agent on your side, you have the power to make each conversation feel authentic. Take it from Psycho Bunny’s Senior Customer Experience Manager Tosha Moyer who says, “The overall tone is good, and its responses are really excellent.” 

Ready to see AI Agent’s excellence for yourself? Book a demo and discover how AI Agent can be a permanent part of your team.

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Nik Sharma on Marketing's Biggest Secret

Marketing's Biggest Secret, Finally Revealed by Nik Sharma

By Lucas Walker
1 min read.
0 min read . By Lucas Walker

This episode’s featured guest is Nik Sharma, the CEO at Sharma Brands. He works with founders and executives of a wide variety of brands to launch their digital platform, develop an acquisition and retention strategy, expand their channels, and optimize their revenue. He has worked with big brands such as Bill Blass, Roc Nation, and Haus, and he is on the podcast today to discuss the importance of customer service.


Customer service is a brand’s frontline of defense. They are the first to know when something is wrong, broken, or if anything can be done better. By identifying the needs, concerns, and issues of the customer faster than anyone else, they can also fix or address problems before it gets any bigger and becomes damaging to the company. For example, when Nik was working with Judy, an emergency kit brand, there was an issue with their discount code. It simply was not working but no one knew until an online shopper got in contact with customer service. Immediately, the code was fixed and although Judy must have lost several potential customers during the mistake, they could have lost far more if customer service were not there to receive and respond to the matter.


It is important to keep the customer happy. If it is their first time ordering from a brand and they have a less than stellar experience, they are most likely not going to order again. They will not give any of the company’s second products a try, such as the more expensive purchases or subscriptions. That is why customer service is there to pacify the consumer and their issues, acting as a prevention method to any bad experiences. By offering even simple solutions from a technical standpoint, such as dealing with refunds or providing a shipping label, the customer is excited that the brand provided them with a solution.


Through this excitement and acknowledgement, an intimate relationship is created between the brand and customer. The customer feels valued as the brand understands and emphasizes with them. They recognize that they will be taken care of and as more customers begin to feel the same way, a community is built. Every company talks about wanting to build a community and all the strategies that it will take to do so, but the easiest and fastest way to accomplish that is by just having an efficient customer support team. Even a simple third-party logistics team can give a significant boost to a brand by providing front-line workers for customers.


It is not an exaggeration to say that customer service is the most vital piece of a brand. Nik has seen firsthand what good customer service can do and how much feedback, both positive and negative, it can receive. By offering world-class customer experiences, it can boost businesses to new heights and maximize profits. To speak to Nik and to get a further insight into the importance of customer service, he can reached via text at 917-905-2340.

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