

TL;DR:
The way shoppers buy online has shifted and customers are at the center.
They no longer want to scroll through product pages, dig through FAQs, or wait 24 hours for an email reply. They open a conversation, ask a specific question, and expect a useful answer in seconds. Brands that can’t deliver these experiences at scale are seeing customer hesitation turn into abandoned carts and lost revenue.
This shift has a name: conversational commerce. It's the practice of using real-time, two-way conversations as your primary sales channel, through chat, AI agents, messaging apps, and voice.
What started as an experiment for early adopters has become a key growth lever, with 84% of ecommerce brands treating conversational commerce as a strategic pillar this year vs. last year.

We surveyed 400 ecommerce decision-makers across North America, the U.K., and Europe to understand how conversational commerce and AI are reshaping the ecommerce landscape. These findings are complemented by aggregated and anonymized internal Gorgias platform data from 16,000+ ecommerce brands.
The State of Conversational Commerce in 2026 trends report breaks down all of the findings, including five key trends shaping the ecommerce landscape.
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A few years ago, adding an AI chatbot to your site that could provide tracking links and Help Center article recommendations was a differentiator. Today, it's table stakes. McKinsey found that 71% of shoppers expect personalized experiences, and 76% get frustrated when they don't get them.
Right now, most ecommerce professionals use AI, with 93% having used it for at least 1 year. Enthusiasm is accelerating quickly, with only 30% of ecommerce professionals rating their excitement for AI at 10/10 in April 2025. Similarly, while AI adoption rose steadily year over year, it reached a clear peak in 2026.

The use cases driving this adoption are practical and high-volume:

These are the tickets that flood brands’ inboxes every day. AI agents resolve them instantly, without pulling teams away from conversations that actually require human judgment.
Explore AI adoption and use case data in more depth in the full report.
The traditional ecommerce funnel, visit site, browse products, add to cart, check out, is losing ground. Shoppers now discover products on Instagram, ask questions via direct message, and complete purchases without ever visiting a website.

Conversational AI is actively increasing revenue, with 79% of brands reporting that AI-driven interactions have increased sales and conversion in their business.

The practical implication is that every channel is becoming a storefront. Creating personalized touchpoints with customers earlier in the journey, through proactive engagement, is impacting the bottom line.
Read the full report to explore how AI conversions have increased QoQ by industry.
Pre-purchase hesitation is one of the biggest conversion killers in ecommerce. A shopper lands on your product page, has a question about sizing or compatibility, can't find the answer quickly, and leaves. That's a lost sale that had nothing to do with your product.
Conversational AI changes that dynamic. When a shopper can ask a question and get an accurate, personalized answer in real time, the friction disappears.
Brands using Gorgias saw this play out at scale in 2025. When AI Agent recommended a product, 80% of the resulting purchases happened the same day, and 13% happened the next day.

Brands are further accelerating the buying cycle through proactive engagement. On-site features such as suggested product questions, recommendations triggered by search results, and “Ask Anything” input bars drove 50% of conversation-driven purchases during BFCM 2025.
Explore how AI is collapsing the purchase cycle in Trend 3 of the report.
There's a persistent narrative that AI is making CX teams redundant. The data tells a different story. 62% of ecommerce brands are planning to grow their teams, not cut them. But the scope of those teams is changing.

New roles are emerging around AI configuration and quality assurance. Teams are investing in technical members to write AI Guidance instructions, develop tone-of-voice instructions, and continuously QA results.
CX teams are also bridging the gap between support goals and revenue goals, as the two functions increasingly overlap.

The result is CX teams that are more technical than they were before. Agents who once spent their days answering repetitive tickets are now spending that time on higher-value work: complex escalations, VIP customer relationships, and improving the AI systems and knowledge bases that handle the volume.
Learn more about the evolution of CX roles in Trend #4.
Despite increasing AI adoption, data shows that ecommerce brands shouldn’t strive for 100% automation. Winning brands are building systems in which AI handles repetitive tier-1 tickets, and humans handle complex, sensitive cases.

AI handles speed and scale. It resolves order-tracking requests at 2 a.m., processes return-eligibility checks in seconds, and answers the same shipping question for the thousandth time without compromising quality.
Human agents handle conversations that require context, empathy, or decisions that fall outside the standard playbook. There are several topics where shoppers still prefer human support.

Successful hybrid systems require continuous iteration, meaning reviewing handover topics, Guidance, and reviewing AI tickets on a weekly basis.
Discover how leading brands are balancing human and AI systems in Trend #5.
The 2026 trends are about expansion and standardization. The 2030 predictions are about what comes next.

Voice-based purchasing is the biggest bet on the horizon. Only 7% of brands currently use voice assistants for commerce, but 89% expect it to be standard by 2030. The vision is a customer who can reorder a product, check their subscription status, or manage a return entirely over the phone.
Proactive AI is the other major shift. Rather than waiting for a customer to reach out, AI will anticipate needs based on browsing behavior, purchase history, and where someone is in their relationship with your brand. Think of it as the digital equivalent of a sales associate who remembers what you bought last time and knows what you're likely to need next.
Explore where ecommerce brands are allocating their AI budgets in the full report.
The brands winning in 2026 are creating smart, scalable systems where AIhandles volume and humans handle nuance. They’re treating every conversational channel as an opportunity to serve and sell.
The data is clear: AI adoption is accelerating, customer expectations are rising, and the revenue impact of getting this right is measurable.
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TL;DR:
In 2025, chat’s growth outpaced email by 2.5x quarter over quarter. Chat has become our most powerful customer experience tool for how shoppers discover products, ask questions, and decide to buy.
We knew it needed an upgrade, so we reimagined the entire experience from the ground up.
The result is 36% more engagement with product recommendations, nearly 2.25x more shoppers add-to-cart, and 7.3% more customer engagement.
In this post, we'll walk you through our thinking, what’s new in Chat, and how brands are already seeing big gains.
Chat has outpaced email support. Today’s shoppers prefer the speed of quick chat conversations over email. And when shoppers make a new move, we watch, listen, and move with them.
This behavioral shift isn’t happening in isolation. It aligns with the rise of conversational commerce and proves a universal move toward real-time conversations in ecommerce.
In fact, the signals were already there. Two years of building AI Agent showed us just how much design shapes behavior. The interface is the experience, and we knew that pushing chat experiences to closely resemble human interactions would transform how shoppers engage.
Our new and updated chat brings that vision to life. We believe that shopping is moving from static pages to conversations. This new update is built for how people actually want to shop.
The new design turns live chat into an interactive shopping surface made for modern shoppers. We've brought together multiple ways for shoppers to jump into chat, added clickable replies instead of typing, browsable product cards right in the conversation, and quick cart access.
Let's walk through what's new.
Chat now comes in a softer color palette that adapts to your store’s branding. We removed message bubbles in favor of an airy design that brings in the familiarity of speaking to your favorite conversational AI assistant. Every interaction now has the breathing room for deeper conversation and personalization.

It’s now easier for shoppers to get an answer with quick reply buttons and suggested questions in Chat. This replaces the tree-based flows of the previous Chat, removing the need to follow a fixed path. Shoppers can find answers faster without typing text-heavy explanations.

Browsing and buying within Chat is now possible. Previously, it only supported product links that would open in a new page. With the upgrade, you can view item details without leaving the conversation. Shoppers can browse, compare products, and add to cart in one place.

We’re keeping the context by removing the external redirects. The new interface lets shoppers browse product recommendations right in chat. View key product details, images, descriptions, variants, and pricing without opening a new tab.

Chat adds clickable questions on product pages — like “Is this true to size?” or “What’s the difference between shades?” — designed to match what a shopper is likely wondering in the moment. These context-aware prompts help remove buying hesitation before shoppers even think to ask.

Chat adds instant access to shopper actions, like a cart button and an orders button for returning customers. Shoppers can jump straight to their cart or check on an existing order without waiting for an agent to give them a status update.

Every update in Chat drives performance. We didn’t simply give it a makeover, we also fine-tuned its underlying mechanics.
When product suggestions are easy to browse, shoppers interact with them more. The new product cards make shopping feel natural, allowing customers to explore items at their own pace. That convenience led to a 36% increase in engagement with recommended products.
Chat keeps the entire shopping journey inside the conversation, from browsing and asking questions, to adding to cart and checking out. This new layout removes the usual tab-switching between chat and the website. Less friction has led to more than double add-to-cart actions than before the redesign.
Chat's cleaner design and contextual entry points make it easier for shoppers to start a conversation. With suggested questions on product pages and quick reply buttons, more visitors are choosing to engage earlier in their journey. This has resulted in a 7.3% lift in chat engagement.
Conversational commerce has moved from concept to reality. Chat makes it part of the everyday shopping experience, letting shoppers browse, ask questions, compare products, and check out in one interaction. It brings the ease of the in-person shopping experience into the digital world.
We built Chat to redefine the shopping experience. We hope you see it reflected in your customers’ journeys.
Book a demo to see what's possible with the new experience.
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TL;DR:
Customer education has become a critical factor in converting browsers into buyers. For wellness brands like Cornbread Hemp, where customers need to understand ingredients, dosages, and benefits before making a purchase, education has a direct impact on sales. The challenge is scaling personalized education when support teams are stretched thin, especially during peak sales periods.
Katherine Goodman, Senior Director of Customer Experience, and Stacy Williams, Senior Customer Experience Manager, explain how implementing Gorgias's AI Shopping Assistant transformed their customer education strategy into a conversion powerhouse.
In our second AI in CX episode, we dive into how Cornbread achieved a 30% conversion rate during BFCM, saving their CX team over four days of manual work.
Before diving into tactics, understanding why education matters in the wellness space helps contextualize this approach.
Katherine, Senior Director of Customer Experience at Cornbread Hemp, explains:
"Wellness is a very saturated market right now. Getting to the nitty-gritty and getting to the bottom of what our product actually does for people, making sure they're educated on the differences between products to feel comfortable with what they're putting in their body."
The most common pre-purchase questions Cornbread receives center around three areas: ingredients, dosages, and specific benefits. Customers want to know which product will help with their particular symptoms. They need reassurance that they're making the right choice.
What makes this challenging: These questions require nuanced, personalized responses that consider the customer's specific needs and concerns. Traditionally, this meant every customer had to speak with a human agent, creating a bottleneck that slowed conversions and overwhelmed support teams during peak periods.
Stacy, Senior Customer Experience Manager at Cornbread, identified the game-changing impact of Shopping Assistant:
"It's had a major impact, especially during non-operating hours. Shopping Assistant is able to answer questions when our CX agents aren't available, so it continues the customer order process."
A customer lands on your site at 11 PM, has questions about dosage or ingredients, and instead of abandoning their cart or waiting until morning for a response, they get immediate, accurate answers that move them toward purchase.
The real impact happens in how the tool anticipates customer needs. Cornbread uses suggested product questions that pop up as customers browse product pages. Stacy notes:
"Most of our Shopping Assistant engagement comes from those suggested product features. It almost anticipates what the customer is asking or needing to know."
Actionable takeaway: Don't wait for customers to ask questions. Surface the most common concerns proactively. When you anticipate hesitation and address it immediately, you remove friction from the buying journey.
One of the biggest myths about AI is that implementation is complicated. Stacy explains how Cornbread’s rollout was a straightforward three-step process: audit your knowledge base, flip the switch, then optimize.
"It was literally the flip of a switch and just making sure that our data and information in Gorgias was up to date and accurate."
Here's Cornbread’s three-phase approach:
Actionable takeaway: Block out time for that initial knowledge base audit. Then commit to regular check-ins because your business evolves, and your AI should evolve with it.
Read more: AI in CX Webinar Recap: Turning AI Implementation into Team Alignment
Here's something most brands miss: the way you write your knowledge base articles directly impacts conversion rates.
Before BFCM, Stacy reviewed all of Cornbread's Guidance and rephrased the language to make it easier for AI Agent to understand.
"The language in the Guidance had to be simple, concise, very straightforward so that Shopping Assistant could deliver that information without being confused or getting too complicated," Stacy explains. When your AI can quickly parse and deliver information, customers get faster, more accurate answers. And faster answers mean more conversions.
Katherine adds another crucial element: tone consistency.
"We treat AI as another team member. Making sure that the tone and the language that AI used were very similar to the tone and the language that our human agents use was crucial in creating and maintaining a customer relationship."
As a result, customers often don't realize they're talking to AI. Some even leave reviews saying they loved chatting with "Ally" (Cornbread's AI agent name), not realizing Ally isn't human.
Actionable takeaway: Review your knowledge base with fresh eyes. Can you simplify without losing meaning? Does it sound like your brand? Would a customer be satisfied with this interaction? If not, time for a rewrite.
Read more: How to Write Guidance with the “When, If, Then” Framework
The real test of any CX strategy is how it performs under pressure. For Cornbread, Black Friday Cyber Monday 2025 proved that their conversational commerce strategy wasn't just working, it was thriving.
Over the peak season, Cornbread saw:
Katherine breaks down what made the difference:
"Shopping Assistant popping up, answering those questions with the correct promo information helps customers get from point A to point B before the deal ends."
During high-stakes sales events, customers are in a hurry. They're comparing options, checking out competitors, and making quick decisions. If you can't answer their questions immediately, they're gone. Shopping Assistant kept customers engaged and moving toward purchase, even when human agents were swamped.
Actionable takeaway: Peak periods require a fail-safe CX strategy. The brands that win are the ones that prepare their AI tools in advance.
One of the most transformative impacts of conversational commerce goes beyond conversion rates. What your team can do with their newfound bandwidth matters just as much.
With AI handling straightforward inquiries, Cornbread's CX team has evolved into a strategic problem-solving team. They've expanded into social media support, provided real-time service during a retail pop-up, and have time for the high-value interactions that actually build customer relationships.
Katherine describes phone calls as their highest value touchpoint, where agents can build genuine relationships with customers. “We have an older demographic, especially with CBD. We received a lot of customer calls requesting orders and asking questions. And sometimes we end up just yapping,” Katherine shares. “I was yapping with a customer last week, and we'd been on the call for about 15 minutes. This really helps build those long-term relationships that keep customers coming back."
That's the kind of experience that builds loyalty, and becomes possible only when your team isn't stuck answering repetitive tickets.
Stacy adds that agents now focus on "higher-level tickets or customer issues that they need to resolve. AI handles straightforward things, and our agents now really are more engaged in more complicated, higher-level resolutions."
Actionable takeaway: Stop thinking about AI only as a cost-cutting tool and start seeing it as an impact multiplier. The goal is to free your team to work on conversations that actually move the needle on customer lifetime value.
Cornbread isn't resting on their BFCM success. They're already optimizing for January, traditionally the biggest month for wellness brands as customers commit to New Year's resolutions.
Their focus areas include optimizing their product quiz to provide better data to both AI and human agents, educating customers on realistic expectations with CBD use, and using Shopping Assistant to spotlight new products launching in Q1.
The brands winning at conversational commerce aren't the ones with the biggest budgets or the largest teams. They're the ones who understand that customer education drives conversions, and they've built systems to deliver that education at scale.
Cornbread Hemp's success comes down to three core principles: investing time upfront to train AI properly, maintaining consistent optimization, and treating AI as a team member that deserves the same attention to tone and quality as human agents.
As Katherine puts it:
"The more time that you put into training and optimizing AI, the less time you're going to have to babysit it later. Then, it's actually going to give your customers that really amazing experience."
Watch the replay of the whole conversation with Katherine and Stacy to learn how Gorgias’s Shopping Assistant helps them turn browsers into buyers.
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TL;DR:
Your AI sounds like a robot, and your customers can tell.
Sure, the answer is right, but something feels off. The tone of voice is stiff. The phrases are predictable and generic. At most, it sounds copy-pasted. This may not be a big deal from your side of support. In reality, it’s costing you more than you think.
Recent data shows that 45% of U.S. adults find customer service chatbots unfavorable, up from 43% in 2022. As awareness of chatbots has increased, so have negative opinions of them. Only 19% of people say chatbots are helpful or beneficial in addressing their queries. The gap isn't just about capability. It's about trust. When AI sounds impersonal, customers disengage or leave frustrated.
Luckily, you don't need to choose between automation and the human touch.
In this guide, we'll show you six practical ways to train your AI to sound natural, build trust, and deliver the kind of support your customers actually like.
The fastest way to make your AI sound more human is to teach it to sound like you. AI is only as good as the input you give it, so the more detailed your brand voice training, the more natural and on-brand your responses will be.
Start by building a brand voice guide. It doesn't need to be complicated, but it should clearly define how your brand communicates with customers. At minimum, include:
Think of your AI as a character. Samantha Gagliardi, Associate Director of Customer Experience at Rhoback, described their approach as building an AI persona:
"I kind of treat it like breaking down an actor. I used to sing and perform for a living — how would I break down the character of Rhoback? How does Rhoback speak? What age are they? What makes the most sense?"
✅ Create a brand voice guide with tone, style, formality, and example phrases.
Humans associate short pauses with thinking, so when your AI responds too quickly, it instantly feels unnatural.
Adding small delays helps your AI feel more like a real teammate.
Where to add response delays:
Even a one- to two-second pause can make a big difference in a robotic or human-sounding AI.
✅ Add instructions in your AI’s knowledge base to include short response delays during key moments.
Generic phrases make your AI sound like... well, AI. Customers can spot a copy-pasted response immediately — especially when it's overly formal.
That doesn't mean you need to be extremely casual. It means being true to your brand. Whether your voice is professional or conversational, the goal is the same: sound like a real person on your team.
Here's how to replace robotic phrasing with more brand-aligned responses:
|
Generic Phrase |
More Natural Alternative |
|---|---|
|
“We apologize for the inconvenience.” |
“Sorry about that, we’re working on it now.” (friendly) |
|
“Your satisfaction is our top priority.” |
“We want to make sure this works for you.” (friendly) |
|
“Please be advised…” |
“Just a quick heads up…” (friendly) |
|
“Your request has been received.” |
“Got it. Thanks for reaching out.” (friendly) |
|
“I will now review your request.” |
“Let me take a quick look.” (friendly) |
✅ Identify your five most common inquiries and give your AI a rewritten example response for each.
One of the biggest tells that a response is AI-generated? It ignores what's already happened.
When your AI doesn't reference order history or past conversations, customers are forced to repeat themselves. Repetition can lead to frustration and can quickly turn a good customer experience into a bad one.
Great AI uses context to craft replies that feel personalized and genuinely helpful.
Here's what good context looks like in AI responses:
Tools like Gorgias AI Agent automatically pull in customer and order data, so replies feel human and contextual without sacrificing speed.
✅ Add instructions that prompt your AI to reference order details and/or past conversations in its replies, so customers feel acknowledged.
Customers just want help. They don't care whether it comes from a human or AI, as long as it's the right help. But if you try to trick them, it backfires fast. AI that pretend to be human often give customers the runaround, especially when the issue is complex or emotional.
A better approach is to be transparent. Solve what you can, and hand off anything else to an agent as needed.
When to disclose that the customer is talking to AI:
For more on this topic, check out our article: Should You Tell Customers They're Talking to AI?
✅ Set clear rules for when your AI should escalate to a human and include handoff messaging that sets expectations and preserves context.
We're giving you permission to break the rules a little bit. The most human-sounding AI doesn't follow perfect grammar or structure. It reflects the messiness of real dialogue.
People don't speak in flawless sentences every time. We pause, rephrase, cut ourselves off, and throw in the occasional emoji or "uh." When AI has an unpredictable cadence, it feels more relatable and, in turn, more human.
What an imperfect AI could look like:
These imperfections give your AI a more believable voice.
✅ Add instructions for your AI that permit variation in grammar, tone, and sentence structure to mimic real human speech.
Human-sounding AI doesn’t require complex prompts or endless fine-tuning. With the right voice guidelines, small tone adjustments, and a few smart instructions, your AI can sound like a real part of your team.
Book a demo of Gorgias AI Agent and see for yourself.
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TL;DR:
You’ve chosen your AI tool and turned it on, hoping you won’t have to answer another WISMO question. But now you’re here. Why is AI going in circles? Why isn’t it answering simple questions? Why does it hand off every conversation to a human agent?
Conversational AI and chatbots thrive on proper training and data. Like any other team member on your customer support team, AI needs guidance. This includes knowledge documents, policies, brand voice guidelines, and escalation rules. So, if your AI has gone rogue, you may have skipped a step.
In this article, we’ll show you the top seven AI issues, why they happen, how to fix them, and the best practices for AI setup.
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AI can only be as accurate as the information you feed it. If your AI is confidently giving customers incorrect answers, it likely has a gap in its knowledge or a lack of guardrails.
Insufficient knowledge can cause AI to pull context from similar topics to create an answer, while the lack of guardrails gives it the green light to compose an answer, correct or not.
How to fix it:
This is one of the most frustrating customer service issues out there. Left unfixed, you risk losing 29% of customers.
If your AI is putting customers through a never-ending loop, it’s time to review your knowledge docs and escalation rules.
How to fix it:
It can be frustrating when AI can’t do the bare minimum, like automate WISMO tickets. This issue is likely due to missing knowledge or overly broad escalation rules.
How to fix it:
One in two customers still prefer talking to a human to an AI, according to Katana. Limiting them to AI-only support could risk a sale or their relationship.
The top live chat apps clearly display options to speak with AI or a human agent. If your tool doesn’t have this, refine your AI-to-human escalation rules.
How to fix it:
If your agents are asking customers to repeat themselves, you’ve already lost momentum. One of the fastest ways to break trust is by making someone explain their issue twice. This happens when AI escalates without passing the conversation history, customer profile, or even a summary of what’s already been attempted.
How to fix it:
Sure, conversational AI has near-perfect grammar, but if its tone is entirely different from your agents’, customers can be put off.
This mismatch usually comes from not settling on an official customer support tone of voice. AI might be pulling from marketing copy. Agents might be winging it. Either way, inconsistency breaks the flow.
How to fix it:
When AI is underperforming, the problem isn’t always the tool. Many teams launch AI without ever mapping out what it's actually supposed to do. So it tries to do everything (and fails), or it does nothing at all.
It’s important to remember that support automation isn’t “set it and forget it.” It needs to know its playing field and boundaries.
How to fix it:
AI should handle |
AI should escalate to a human |
|---|---|
Order tracking (“Where’s my package?”) |
Upset, frustrated, or emotional customers |
Return and refund policy questions |
Billing problems or refund exceptions |
Store hours, shipping rates, and FAQs |
Technical product or troubleshooting issues |
Simple product questions |
Complex or edge‑case product questions |
Password resets |
Multi‑part or multi‑issue requests |
Pre‑sale questions with clear, binary answers |
Anything where a wrong answer risks churn |
Once you’ve addressed the obvious issues, it’s important to build a setup that works reliably. These best practices will help your AI deliver consistently helpful support.
Start by deciding what AI should and shouldn’t handle. Let it take care of repetitive tasks like order tracking, return policies, and product questions. Anything complex or emotionally sensitive should go straight to your team.
Use examples from actual tickets and messages your team handles every day. Help center articles are a good start, but real interactions are what help AI learn how customers actually ask questions.
Create rules that tell your AI when to escalate. These might include customer frustration, low confidence in the answer, or specific phrases like “talk to a person.” The goal is to avoid infinite loops and to hand things off before the experience breaks down.
When a handoff happens, your agents should see everything the AI did. That includes the full conversation, relevant customer data, and any actions it has already attempted. This helps your team respond quickly and avoid repeating what the customer just went through.
An easy way to keep order history, customer data, and conversation history in one place is by using a conversational commerce tool like Gorgias.
A jarring shift in tone between AI and agent makes the experience feel disconnected. Align aspects such as formality, punctuation, and language style so the transition from AI to human feels natural.
Look at recent escalations each week. Identify where the AI struggled or handed off too early or too late. Use those insights to improve training, adjust boundaries, and strengthen your automation flows.
If your AI chatbot isn’t working the way you expected, it’s probably not because the technology is broken. It’s because it hasn’t been given the right rules.
When you set AI up with clear responsibilities, it becomes a powerful extension of your team.
Want to see what it looks like when AI is set up the right way?
Try Gorgias AI Agent. It’s conversational AI built with smart automation, clean escalations, and ecommerce data in its core — so your customers get faster answers and your agents stay focused.

TJ’s Top Advice:
Everybody wants to skip to the answers, but for TJ Balo, there is more joy to be found in the learning. Since 2014, TJ has been the Head of Customer Relations and Marketing at Andrea Iyamah, a fashion line founded in 2011 by Nigerian designer Andrea Dumebi Iyamah. From Toronto, TJ leads a group of customer service reps from around the world, including New York and Nigeria, teaching them the ins and outs of customer service operations, logistics, and lingo.
Brainstorming is one of the most exciting parts of the job for TJ, who’s always finding ways to improve the customer experience. When his team gets together, there is no wrong answer. TJ encourages his staff to think outside the box. Whether it’s a bold social media marketing play or a never-before-done collection, he wants to hear it all.
“I always want them to bring new concepts and ideas to the table. I think that for success, it's not about the implementation. It's about what you’re thinking,” he says.
The vulnerability to share out-of-the-box ideas allows his team to create a playground where creativity is the only goal. It’s where every idea has a chance to shine when the time is right, whether it’s in a month or in the next year. All TJ asks is for every person to be fearless and confident: “Let your presence be known. The minute I can identify you, that's when I know that you're doing something right and I'm doing something right.”

Online businesses, especially fashion brands, are no strangers to the challenge of meeting customer expectations. Sometimes colors don’t appear the same way on a screen as they do in person. Other times, sizes may run a smidge too loose or snug. Regardless of the issue, “it’s about consistent communication first,” TJ says.
How can you show up for the customer and show them they matter? For TJ’s team, customer satisfaction is their guiding light. They always remember to throw in an incentive for customers, whether it’s a refund, discount, or replacement.
TJ pays the same heed to internal feedback. His team’s opinion takes precedence before a product is released. They answer questions like, “What’s missing?” “Does it translate well to different body types?” People naturally gravitate towards good products, and TJ wants to hit that mark as closely as possible the first time around.
When mishaps occur, broadcasting the solution to their customer base is imperative. “I think that that's one step a lot of fashion and retail brands miss. They take the feedback in, and they come out with a new or better product, but the customer doesn't know because they don't communicate that message to them to say, ‘We took this in from you, we have this new version out, come and try it again,” he says.

Peruse Andrea Iyamah’s Pinterest and their inspirations draw from a cornucopia of African cultures, stories, and experiences. Traditional details can be found in every piece, from a modern sleeveless dress in the recognizable silhouette of a Kaftan to jumpsuits adorned with sculptural pleats similar to those found on a Gele. The room to innovate is boundless, especially with their Treasures.
Treasures, the term of endearment for their customers, are the backbone of Andrea Iyamah. Without the support and feedback of their Treasures, the brand would not have crossed international borders, dressing icons like Michelle Obama, Gabrielle Union, Ciara, and Kate Hudson.
“We treat our customers as our stakeholders. We believe they’re the driving force of the brand and its vision, hence our goal to make them feel valued and appreciated,” TJ emphasizes.
On Instagram, they spotlight their Treasures’ voices with Instagram carousels of rave reviews on Twitter. One Treasure confidently states, “Andrea Iyamah never misses… I swear.”
“You have to take in every single detail. That is where the brand meets the stakeholder. That's where they both come together. I never give credit to just either or. They both come together to create and to curate this amazing masterpiece.” —TJ Balo on handling custom orders
For a business that’s been operating for over a decade, you could say Andrea Iyamah has accomplished everything. But for TJ, the learning never stops. “Research and ensuring that you're actually taking in that research is the genesis of staying on the cutting edge.”
He recognizes that they aren’t the first to do it in their industry, that there are countless other companies making great strides. Nonetheless, he wants to be the best to do it. “As we grow, as a business, as a brand, as a company, even just as a team generally, I want to be a reflection of what I would like from my team. You can never know it all. Continuous learning is also leadership.”
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Customers who use chat support are 2.8 times more likely to convert than those who don’t. Despite its proven impact, misconceptions around chat’s limited scope — reducing it to only live interactions — persist, creating a missed opportunity for the online stores that could benefit from it the most.
The reality is chat is a versatile tool that can adjust to company needs, whether it’s a self-service tool that runs on its own, a channel for providing live support, or both.
For ecommerce businesses on the fence about incorporating chat into their customer service operations, we're here to clear up five of the most common myths about chat’s functions, costs, and benefits. After that, we’ll lay out a five-step guide to efficiently set up chat so you can start delighting customers now.
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Live chat is real-time communication that allows customers to interact with a customer service representative instantly. It's the digital equivalent of walking into a store and speaking directly with an employee.
On the other hand, chat is more than just live interactions; it includes automated responses that ensure customers receive support, even without agents. This hybrid approach allows businesses to deliver 24/7 customer support.
Chat solutions, like Gorgias Chat, blend live chat's on-demand nature with automation and AI. Chat allows businesses to provide support regardless of time zone and staff availability.
Confusion about what chat can do often discourages businesses from leveraging the powerful customer service tool. Below, we’ll be myth-busting five common misconceptions about chat to reveal its true potential.
Contrary to popular belief, chat can be a cost-effective solution to operate customer service. Brands can earn 10x more revenue by implementing chat and, in turn, operate a smaller support team. Support agents can be costly, so using chat to deflect tickets can be a quick way to optimize both time and budget.
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Chat's usefulness transcends business size and breaks down silos in customer service by allowing customers to get answers on their own time. As a customer service tool, any business engaging with customers can benefit greatly from it to tackle pre-sales questions and resolve issues efficiently.
As previously mentioned, chat can handle both live and automated interactions, which means no agents are required to manage it. Online stores can set up chat on their websites, allowing it to run 24/7. Businesses can decide whether to enable live chat or keep it fully automated.
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Related: Customer service outsourcing: why, when, and how
Due to automation-based conversations in chat, ticket volume does not necessarily increase when customers use chat. A ticket is only created when a customer converses with a live agent. Unlike using social media as a support channel, chat empowers customers to self-serve and resolve issues on their own.
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Contrary to popular belief, chat has a positive impact on customer satisfaction. Based on Gorgias data, brands experienced a 1% increase in CSAT when using automation, including chat. The improved satisfaction can be attributed to the efficiency of automated answers and the absence of wait times.
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While email remains a staple, chat offers immediate engagement in the shopping flow that can create opportunities for upselling. For example, an on-site campaign toolkit like Gorgias Convert becomes a seamless extension of your sales and support strategy with the ability to recommend products within chat.
Since chat simplifies the process of reaching out, it is also easier for companies to build trust with their customers. The fewer hurdles customers have to jump over to get an answer, the more readily they will trust your brand.
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Read more: You’re doing it wrong: better ways to use email as a customer service channel
Now that you know chat isn’t expensive and can give you a great return on investment, you can start making the most of it. Here’s the optimal way to set up chat in four, simple steps.
A study from the University of Göttingen found that customers value clarity on whether they're conversing with a bot or a human agent. Their satisfaction did not dwindle when issues went unresolved, knowing they were interacting with a chatbot.
You can add “Bot” to your chat name on Gorgias whenever automated messages are sent. Enabling this improves the customer experience by letting them know exactly who they are talking to.
In addition, customizing your chatbot avatar to your company logo instead of leaving it as the default robot avatar adds a personal touch. If live chat is enabled, uploading individual profile photos for your agents will help customers feel more comfortable since they’re able to associate a face with the agent they’re talking to.
Frequently asked questions can quickly dominate your inbox, but with Quick Responses, you can offer fully automated answers. This allows you to provide customer service on an international scale without worrying about increasing agent workload.
Gorgias Automate upgrades your customer experience with an entire automation toolkit that includes Quick Responses in Chat. You can display up to six Quick Responses at a time, providing customers with immediate answers to their questions.
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While many assume live chat needs to be available for extended hours, the truth is that live chat hours can be tailored to what suits your brand best, even if that's just one hour a day. The key is to clearly communicate when an agent will respond to customers outside of these hours.
Customers prefer live chat because of the lack of wait times, so if you’re offering live chat, be sure your agents meet customer expectations by answering chat conversations in 30 seconds. Strengthening customer relationships is crucial to building trust and, therefore, increasing your ecommerce retention rate. On Gorgias, setting your business hours will directly update how Chat appears to customers.
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A help center is a database of articles that range from frequently asked questions and guides to video tutorials and policies. On Gorgias, Chat can use your Help Center articles to enrich automated answers with detailed information. For instance, fashion and apparel stores can create a sizing guide article, which Chat can then reference, guiding customers directly to the information they need.
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Gorgias Automate enabled luxury luggage company July to handle the equivalent workload of three extra agents. With tools like Chat, July went from handling repetitive queries to focusing on more significant customer issues. This significant change enhanced their support efficiency and customer satisfaction.
Want to become a success story? Discover how Gorgias Automate can streamline your support workflow and elevate customer experience. Book a demo today.

Since ChatGPT was introduced in November 2022, customer service automation has stormed its way into almost every industry, including ecommerce. This leap in technology has paved the way for companies to increase their support efficiency dramatically, as demonstrated by the buy-now-pay-later service Klarna, which recently resolved two-thirds of customer service chats with AI.
The business gains arising from automation are evident. Faster and smarter tools mean less time handling mundane tasks and more time improving the customer journey with meaningful conversations, personalized experiences, and seamless upselling opportunities.
At Gorgias, our mission is to elevate customer experiences with automated solutions. To determine the impact, we analyzed data from over 14,000 merchants who use automation compared to those who do not.
Our data revealed a 36% increase in repeat purchases, a 37% reduction in first response time, a 52% reduction in resolution time, a 27% decrease in the ticket-to-order ratio, and a 1% increase in CSAT when automation is used.
These compelling results assert our belief in automation as the next, inevitable step for scaling support teams.
“AI is going to help us transform ourselves into deeper thinkers by taking over simple, standardized functions” —Ron Shah, CEO and Co-founder at Obvi
Before automation, customer service teams scrambled to hire more agents as their customer bases grew. When Black Friday and other peak seasons arrived, hiring more agents was the Band-Aid fix. Today, companies are opting for leaner support teams as automation allows them to do more with less. The benefit? Teams can scale and improve the quality of service without temporarily bringing on new staff.
Automation works like a junior support agent but at a higher efficiency. It can handle frequently asked questions like where is my order? and customize responses according to brand voice. So, as repetitive tasks are handled in the background, agents can focus on more complex tickets, such as product-specific questions or technical issues that require troubleshooting.
“Before, agents had to handle it all. Now, they rarely take a ticket about frequently asked questions. They’re only handling escalations, special product-related questions, and things like that.” —Caela Castillo, Director of Customer Experience, Jaxxon
The flexibility of automation makes it the ideal tool for personalized customer service. Aside from being a keyboard shortcut or macro, automation can be a hands-off assistant that can engage customers and influence as much as 25% of revenue.
At Gorgias, automation is at the core of our products, powering almost every feature in Helpdesk, Automate, and Convert. It allows merchants to deliver delightful and personalized customer interactions across various channels and touchpoints in the customer journey.
While automation is only one of many factors, we’ve found it to positively impact support performance metrics. Based on our data, merchants who used automation saw clear improvements in repeat purchase rates, response times, resolution times, tickets per order, and CSAT scores.
Retaining customer loyalty is challenging even when brands launch loyalty programs, as customers are discouraged by the effort required to receive rewards. However, Gorgias data shows that simply using automation can increase repeat purchase rates. Within 28 days, merchants who automated up to 20% of tickets increased their repeat purchase rate by 8 points.
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Yoga apparel brand Manduka used Gorgias Convert's on-site campaigns to influence customers to purchase multiple products. The campaign convinced shoppers to hit a $100 order total for free shipping by recommending small additional items they may be interested in. Their campaign brought in nearly $12,000, proving that automation can directly affect revenue.
“We want to be able to target our repeat customers who have purchased a lot, and say, ‘Welcome back! Here's a new product that would go wonderfully with the item you bought last time.’ It would be a wonderful translation of the in-person retail experience where staff know what you like, so they can assist you better.” —Jessica Botello, Customer Service Manager at Manduka
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Automated responses resolve tickets in zero seconds and result in faster first response times. On average, merchants using automation respond 37% faster than ones who don’t automate customer service.
Responding to customers as quickly as possible is especially important during busy seasons like Black Friday and Cyber Monday so that revenue-generating questions don’t get pushed to the backlog. The customer experience team at health supplement brand Obvi was able to drive 3x more purchases from support conversations compared to previous years.
Faster response times also mean agents are able to make stronger connections with customers. For Obvi’s CX team, it translated to more time to engage with their vibrant Facebook community:
“Instantly, our CX team had time to prioritize important matters, like being active in our community of 75,000 women instead of sitting answering emails.” —Ron Shah, CEO and Co-founder at Obvi
When customer tickets are automated, resolution times improve dramatically. Merchants using automation resolved tickets 52% faster than those without.
Automation is especially helpful in answering pre-sales questions. High-end luggage retailer July deflected 450 tickets a month immediately after activating Quick Responses, one-click FAQs that live in Chat. Their Head of Operations and CX, Alex Naoumidis, notes that setup was “so easy, with a huge payoff.”
This significant efficiency gain ensures customers are well-educated about their products, leaving agents time to personalize the rest of the customer journey.
As automated responses provide quick solutions to customer issues, customers need to contact support less. Based on our data, brands that automate 10% or more of their tickets see a decrease in billable tickets per order. Brands with little to no automation do not see a significant improvement in the ticket-to-order ratio.
For apparel brand Shinesty, automating more than 10% of tickets greatly decreased the number of tickets per order by 27%. Self-serve tools like interactive conversations called Flows and Article Recommendations enabled customers to solve issues relating to discounts, subscription policies, and returns on their own.
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“Automate would be useful for any ecommerce company that needs to lower their ticket counts, or wants to provide a more consistent experience.” —Molly Kerrigan, Senior Director of Retention at Shinesty
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Thirty days after setting up automation in Gorgias, brands enjoyed a 1% increase in CSAT score, a 4.51 score compared to 4.46 for non-automating brands. Even though satisfaction only nudged an inch, the positive effects reached support teams, improving agent morale and team alignment.
Molly Kerrigan, Senior Director of Retention at Shinesty, emphasizes the importance of preserving quality customer interactions during growth, "We get a lot of praise from our customers, and they talk highly of our CX team after 1:1 interactions. We can’t lose that as we scale."
Since Gorgias provides in-depth conversation analytics, CX teams are finally able to see their impact.
“Tracking customer satisfaction scores in Gorgias is a really big help to us. Before, we didn't know if we were doing well or not, but now we can see people like the service we provide. We use the KPI tracking data for internal monthly meetings to review performance and see where we can improve,” says Deja Jefferson, Customer Experience Manager at Topicals.
Clearly, balancing automation with personalization significantly improves the customer journey. Given that customers with positive customer experiences are 2.7 times more likely to do repeat business, the value of automation is unmistakable.
AI progress has advanced in a short amount of time. But to remind you, this is only the beginning of what automation and AI can do in customer service. We envision AI as a constant work in progress, meant to intake information until it is capable enough to handle more complex tasks. This means agents will spend more time building strong customer connections and finding ways the business can grow.
Gorgias is at the forefront of this evolution, developing automation and AI-driven solutions like an AI-generated Help Center, an AI Agent, a generative AI assistant that autonomously answers customer questions, and an Interaction Quality Score to measure and report on AI-customer interactions. Gorgias aims to transform how support teams and customers interact with AI, paving the way for more impactful customer experiences on a human scale.
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The Help Center is more than a database to make the lives of your agents and customers easier. It's also an ingenious way of creating brand awareness. By enhancing your Help Center's visibility, you carve new pathways for shoppers to discover your brand while solidifying your brand's reliability with loyal followers.
This guide delves into practical methods for increasing your article views and turning your Help Center into a dynamic hub with Gorgias. We’ll look at the basics of a Help Center, how to structure it based on statistics and SEO, and how to share it across multiple channels.
A Help Center is a knowledge database of articles addressing common questions about your products, services, and brand. It empowers customers to find solutions on their own without needing to contact your customer service team.
A Help Center can include how-to articles, policies, answers to frequently asked questions, and more. Each article can also be supplemented with images, GIFs, and videos to better guide customers toward solutions.

Boosting your Help Center's visibility involves two key elements: understanding customer concerns to create relevant content and using SEO to increase article views.
Focusing on your customers' specific needs and questions allows you to provide articles that directly address their concerns.
Let’s delve into the two strategies you can use with Gorgias.
The first step to creating Help Center articles is understanding your customers’ problems. Identifying their concerns ensures your content aligns with what questions need clarification.
Here are five ways to uncover customer concerns with Gorgias Statistics:
Tags are labels for categorizing tickets by topic or customer intent. Regularly reviewing tags helps identify common customer inquiries. Generally, the more a tag is used, the greater the need for clarity on that topic.
On Gorgias, navigate to Statistics -> Ticket Insights -> Tags to see tag usage frequency. This view gives you an overview of popular tags. You can also adjust the view by filtering by app integration, channel, and date range.
💡 Pro Tip: The most frequently used tags can help inform what articles you should include in your Help Center. Based on the screenshot below, it would be smart to create articles about FAQs and a Price Match policy.

Intent Statistics provide valuable insights into why customers contact support. By analyzing these statistics, you can understand the primary reasons behind customer queries.
On Gorgias, go to Statistics -> Ticket Insights -> Intents to review the usage frequency of different customer intents.
This feature provides a clear bar graph view of customer concerns that are frequently mentioned in messages. You can also change the view using filters such as channel and date range.

Another way to learn about your customers’ concerns is by looking at contact reasons. On Gorgias, Contact Reason is an AI-powered feature that identifies a ticket's contact reason from its message content. Reasons could range from cancellations and refunds to shipment issues and feedback.
The Contact Reason is conveniently located at the top of each ticket, as shown in the image below.

While positive CSAT scores are gratifying, it's the negative feedback that truly helps improve your customer support.
To view Satisfaction scores on Gorgias, navigate to Statistics -> Support Performance -> Satisfaction. This section provides details on surveys sent, response rates, average ratings, and response distribution over three months.
💡 Pro Tip: For deeper insights into CSAT scores, filter for scores of 3 stars or below. Analyzing lower ratings and their accompanying comments will help you pinpoint the exact topics your Help Center articles should address.


Checking the performance of your articles can be the key to adding relevant articles to your Help Center while avoiding unnecessary topics.
On Gorgias, you can find individual article performance by going to Statistics -> Help Center -> Performance by articles. Articles are sorted from most viewed to least.
Here’s how to use article performance data to write relevant articles:
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SEO (Search Engine Optimization) isn't solely for your primary webpages. It's equally crucial for Help Center articles. Using SEO tactics in Help Center articles boosts their online visibility, but most importantly, they allow you to turn visitors into customers.
Here are some effective SEO strategies to apply:
Using relevant and related keywords in an article can boost search visibility. Customers won’t always use the same search query, so anticipating their word usage will help capture all types of customers looking for your content.
On Gorgias, you can find out what keywords customers are searching for under Statistics -> Help Center -> Help Center searches.

Here’s how to leverage search result data:
💡 Pro Tip: Don’t forget to incorporate relevant keywords into your article titles, subheadings, and excerpts. There are two benefits to this: they make it easier for customers to quickly scan your content and enhance your brand's discoverability in search engines.

Again, data plays a crucial role in making your support and Help Center the ultimate resources. On Gorgias, the "Performance by articles" section allows you to track how well each article performs. Articles are sorted by view count, ratings, and the dates they were last updated.

Here’s how you can leverage the following types of articles:
Internal links are hyperlinks that point to other articles in your Help Center, creating a network of related content. This tactic helps to proactively address questions customers might not have considered, effectively reducing the load on your support team.
To effectively increase the visibility of your Help Center articles, consider leveraging a variety of communication channels:
Remember, a well-optimized Help Center is a powerful tool in building brand awareness and customer loyalty.
Do more with an AI-powered Help Center with the power of Gorgias Automate. Discover how our advanced tools can streamline your support processes and improve customer satisfaction. Book a demo today.
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At Gorgias, we're avid believers in transparency. You'll find us documenting processes diligently, asking for feedback frequently, and addressing concerns openly. This may be surprising and even unconventional to most, but after witnessing its long-term benefits on employee satisfaction and engagement, our team is set on continuing the practice.
As a natural next step in our commitment to openness, we decided to make our People Resources available to everyone. These resources include documents and processes that outline how we operate at Gorgias, including how we approach the compensation process, performance reviews, and more.
We invite you to delve into our resources, whether you’re a founder or a job seeker.
Our decision to share our People Resources is driven by a vision that sets new standards for transparency in evolving corporate practices.
By opening up our resources to the public, Gorgias positions itself as an innovator and thought leader in the industry. Allowing our processes to be read and critiqued by others outside of the company gives way to perspectives we may not have considered.
We view our People Resources as living documents and as we drive discussions about transparent work culture, the opinions and critiques of others will be a constant source of value for us to continue improving our processes.
For other organizations, accessing Gorgias' People Resources serves as a blueprint for building a positive and engaging workplace. By publicizing our processes, we hope to guide companies to create safer and more honest work environments, which in turn will improve employee satisfaction globally.
Our People Resources encompass a wide range of materials, including documents, processes, and additional resources. Here's what you'll find:
Read more: Why we don't increase salaries each year based on performance
Our People Resources are designed with a wide audience in mind, ensuring that anyone interested in building a positive team environment can find value. Here's who can benefit:
You can find our public People Resources on Notion.
If you're inspired by what you see and want to join our growing team, we invite you to check out our current job openings.
We look forward to welcoming you to Gorgias, where we will continue building a transparent and innovative workplace.

TL;DR:
While there’s a common concern that automation might alienate customers with responses that miss the mark, it turns out that 73% of customers have higher expectations for personalized experiences when advanced tech is involved.
Not only do customers expect automation and AI in customer service, but they also believe that brands should make the most out of them.
Luckily, helpdesk tools like Gorgias have found the right balance between automation, personalization, and human touch. The only thing left for CX agents to do is to use automation strategically.
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Automation and AI are distinct, just like live chat versus chatbots. AI, such as ChatGPT, evolves in real-time from interacting with and learning from input data, while automation follows set rules for routine tasks without understanding natural language.
Automation is highly customizable — it won’t spew out an inappropriate sentence unless you tell it to. If you’re still hesitant about automating your support, here are four automation myths debunked below.
The tone and style of your automated messages are entirely within your control, thanks to the customizable nature of automation. This flexibility ensures that your brand's unique voice shines through, allowing for a tailored approach that aligns with your ecommerce strategy.
If we’re talking about AI, we’ve also come a long way from generic chatbot responses. In fact, a 2019 Stanford University report found that AI computational power doubled every 3.4 months. The result? Humans are only correct 60% of the time when guessing if they’re talking to AI or a real person.
In reality, automation is highly adaptable and can incorporate customer data, brand voice, and plenty of dynamic variables to create powerful communications for personalized customer service.
Learn more: How Manduka used personalized, on-site campaigns and earned $70k
While automation enhances efficiency, it works best in tandem with human insight rather than as a complete replacement for human agents. Customer service thrives when there is a route back to human support.
Yes, customers appreciate the ease of connecting to a fellow human, but they also value speed — something automation excels at compared to humans.
Learn more: How Luksusbaby boosted 66% first response time with 45% automation
A customer-centric helpdesk trained on AI is the most effective way to have rapid and authentic customer interactions. A tool like Gorgias enables you to scale your customer service operations by connecting your ecommerce store. Gorgias learns customer conversations and data and automates simple processes like responding to repetitive tickets and refunding orders.
To effectively implement customer service automation, always remember to add a human touch to make customers feel comfortable. More importantly, not all customer interactions are suitable for automated responses so automate strategically.
Here are five ways to implement personalized automation with Gorgias, from automating responses to using website chat and creating a help center.
Skip the mental work of reading a frequently asked question and thinking of a response. Auto-responses will do both for you in the background while you complete other high-priority tasks.
How to implement:
Note: Manually follow up on complaints or technical issues. Using auto-responses on these sensitive issues may escalate them and cause more customer frustration.

AI is excellent at answering simple inquiries, but sometimes customers will ask questions that need a human’s problem-solving skills. Include a route to a live agent to address this. Allowing AI and agents to work in tandem is an effective way to improve customer satisfaction.
How to implement:
Note: Don’t trick customers into thinking they’re speaking to an agent when they’re speaking to AI. Customers are more likely to trust you when you set clear expectations from the start.

Make personalization a part of the customer journey to create friendly experiences on a large scale. Without tailored communications, you’ll likely frustrate 76% of your customers due to irrelevant recommendations and marketing campaigns.
How to implement:

According to a survey of 3,000 consumers, 56% would repurchase from a retailer that provides personalization. For this reason, create an automated action, also known as a rule, that labels tickets from VIP customers. Prioritizing VIP needs will allow your team to strengthen loyalty and drive repeat purchases.
How to implement:

The responsiveness of AI depends on the knowledge you feed it. To accelerate automation’s efficiency, provide it with resources from your knowledge base or help center. In 2020, organizations reported a reduction of up to 70% in call, chat, and email inquiries after implementing a chatbot or virtual customer assistant.
How to implement:

Read more: 9 types of customer self-service
Setting up automation without the right tools can detract from personalization efforts. Gorgias Automate remedies this by equipping CX teams with features like Autoresponders, self-service Order Management, Quick Responses in Chat, and Article Recommendations. Elevate customer experiences and grow your customer relationships by booking a demo with Gorgias today.
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Last September, Gorgias hosted CX-All Star: Episode 1, a webinar presented by a superstar panel of customer experience leaders in the DTC industry. From the health and wellness space to the tech sphere, experts Eli Weiss, Amanda Kwasniewicz, Deja Jefferson, and Ren Fuller-Wasserman gathered years of experience and wasted no time sharing their top strategies, tips, and a-ha moments with fellow attendees.
One hour wasn't long enough to reveal all their expert tricks, but it was definitely enough to help fellow CXers rethink their strategy. If you weren't able to attend the event, these were the top four lessons we learned from CX All-Star: Episode 1.
Amanda Kwasniewicz, the VP of Customer Experience at Love Wellness, emphasizes how CX should be the core of any business. "[CX] has a finger on the pulse of everything we do, whether we're just on the receiving end or whether we're executing it."
To emphasize CX's far-reaching impact, Amanda introduced a company-wide policy where every new employee spends six weeks working directly with support tickets and customers. This immersive approach to CX was so successful that non-CX team members, from marketing to finance, were able to help the CX team during a hectic inbox day when Love Wellness migrated platforms.
Read more: Why customer service is important, according to a VP of CX
"I think CX is often viewed as a call center, a revenue driver—and we're missing the core part that it's a feedback machine. It's like a feedback treasure trove. So, if you can think about it as all three of those things, that's what it is. It really is about the experience."
—Amanda Kwasniewicz, VP of Customer Experience at Love Wellness
"Brands are either notoriously anti-having a big CX team, or they're very straightforward. Either one of those extremes is dangerous," says Eli Weiss, VP of Retention Advocacy at Yotpo. The balance lies in building a team of passionate learners willing to grow.
Our experts agree that product knowledge can be taught through training, but soft skills like empathy, creativity, and passion are intrinsic. Eli notes that asking questions like "Why CX?" helps determine if a candidate will stick around. Amanda notes these team members often become superstar hires for other departments because of the breadth of their knowledge and skills.
Related: Hiring for customer service
“[LinkedIn] is how I've gotten a lot of people early on. I just looked at brands that crush it and said, 'Stay exactly where you are. I just need 2 hours.' Those 2 hours will usually give you what you as a founder can do in six, because somebody that's doing it all day is probably really good at figuring out how to put a move on it.”
—Eli Weiss, VP of Retention Advocacy at Yotpo
"If people can understand and learn the product they're selling and they can educate the customer, I think that's really valuable," says Deja Jefferson, Manager of Customer Insights at skincare brand Topicals. That's why she takes a diverse approach to product knowledge onboarding.
At Topicals, new hires don't only have to pore over lengthy documents to learn about skincare products. They get their hands dirty by speaking to experts in the product team, reading cheat sheets, and talking to customers about personal skin concerns. This multifaceted strategy is inclusive to all types of learners and leads to agents becoming true experts.
Read more: Customer service training: what to cover + how to do it
"People who are passionate about what they're doing and about helping customers [will] figure out the rest."
—Deja Jefferson, Customer Insights Manager at Topicals
Ren Fuller-Wasserman, Head of Customer Experience at bidet brand TUSHY, empowers her team to go above standard protocols to create memorable or, as her team calls it, mensch (Yiddish for a person of integrity) moments. These are exceptional CX moments that can't be found in the onboarding manual, things like sending handwritten notes, personalized texts, and replacing items without question.
However, as with all things, it's also valuable to understand that mistakes happen. Ren likens the trial-and-error nature of customer experience to building a plane as it's being flown — it won't be perfect. She notes that protocols are important guidelines, but it's also worthwhile to allow your team to be mensch and decide, where do I need to follow the protocols here?
"There are incredible opportunities to make moments that matter, but only if your team has the agency to do so."
—Ren Fuller-Wasserman, Head of Customer Experience at TUSHY
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Imagine leaving your angriest customers to spar with an automated script in your website’s chat window. Now picture your support team reading “Where is my order?” for the hundredth time and glancing at the clock, only to find six hours left in the workday.
Who do you think is more frustrated?
Luckily, you won’t have to answer that, because these are completely avoidable problems. Once you learn the important distinctions between chatbot software and live chat software, you’ll understand how to use them both more effectively and lower blood pressures across the board.
Chatbots rely completely on automation and artificial intelligence (AI) while live chat software connects customers with human agents via a real-time chatbox. A third option, self-service chat, is an appealing alternative.
To determine which solution(s) is best for your business, let’s compare chatbots and live chat software and go through the top use cases for each.
Live chat support connects customers with human support agents who can answer their questions and assist them with any issues. When a customer opens the chat box on a live chat support solution, they are connected with a real person from the company's customer support department.
Support agents then use live chat messaging to address customer inquiries and walk customers through the solution to their problem.
Interested in getting live chat software? Check out one of these lists for tailored recommendations:
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Unlike live chat software, chatbot software doesn’t connect customers with human agents. Instead, chatbot software connects customers with a chatbot that utilizes AI and machine learning to provide natural language answers to common questions.
Automation assists customers with less complex issues and provides quick answers. Chatbot technology enables companies to reduce their average response time, and frees up support agents to focus on more complex queries.
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When comparing chatbots with live chat solutions, it's important to recognize that each category offers its own unique advantages. Many companies choose to employ both live chat and chatbot apps on their ecommerce websites.
With that in mind, let's explore the strengths of each solution.
One of the biggest advantages of chatbot solutions is the fact that they allow for immediate responses to customer inquiries. Live chat solutions can also help companies reduce their wait times, though not to the same degree.
According to data from HubSpot, 90% of customers rate an "immediate" response as important or very important when contacting customer service, with 60% of customers defining "immediate" as 10 minutes or less.
With a chatbot app, offering immediate response times to customer queries is a much more attainable goal. Best of all, these immediate response times are a 24/7 offering for customers, whereas live chat agents may not always be on the clock.
The problem with relying solely on chatbots to reduce customer wait times is the fact that even the best and most intelligent chatbots are often unable to resolve complex issues. Chatbots are excellent at pulling information from internal databases to answer common questions, such as providing the status of a customer's order or editing it.
But for uncommon questions or complex issues, a chatbot alone may not be sufficient. Because they can only handle one thing at a time, it can take forever before you get all of your questions resolved.
Many companies use chatbots alongside live chat support. This allows businesses to offer both immediate responses, as well as more in-depth support for complex issues.
For example, a customer may first be connected with a chatbot that provides instant responses to their query and assists with gathering initial information. If the chatbot determines the customer's question or issue is too complex to resolve, the customer is then connected to a support agent via live chat.
This combination is an ideal solution for many companies, allowing them to quickly resolve common issues without the need for a live chat agent. At the same time, customers have the option to speak with a real person in cases where assistance from a chatbot alone isn’t sufficient.
While chatbot apps can help reduce customer service wait times and the number of customer service reps needed, many customers prefer speaking with a person.
A CGS study found that 86% of customers would rather interact with a human agent than a chatbot. Further, 71% of customers say that they would be less likely to purchase from a brand that did not have real customer service representatives available.
Chatbots have come a long way toward replicating natural language and determining customer intent for better customer engagement. Today, the best chatbot applications can come quite close to sounding like actual human beings.
Chatbots leverage AI and machine learning to deliver personalized responses, as opposed to only “canned” responses, and can better serve your customers.
Even the most advanced chatbots still fall short of a live representative when it comes to delivering a personalized, human touch. They’re also lacking when it comes to handling more complex questions or customer issues.
Once again, a combination of automation and live chat support is typically the best approach.

Chatbots and live chat applications have unique advantages when it comes to delivering consistent and accurate responses to customer queries.
Chatbots are excellent at delivering consistent, on-brand messaging. They can be programmed to systematically follow templates or scripts to provide a consistent customer service experience.
When working with human customer support agents, this high degree of consistency can be a little more difficult to achieve.
While live chat support may not offer the same consistency as chatbots, human support agents do tend to be more accurate when determining the intent of the customer they are assisting.
For example, a simple spelling error can sometimes confuse chatbots, whereas a human customer support agent would be much more likely to look past the error and correctly figure out what the customer needs.
A human agent is also much more likely than a chatbot to accurately interpret questions that are worded strangely.
For companies that are choosing between chatbots and live chat support, it’s a question of whether they’d like to prioritize consistency or accuracy. This is yet another reason why a combination of chatbots and live chat support is often the best solution.
More chat features to provide self-service support without the bots
Many of the issues your website visitors have with bad chatbots involve their mimicry of support from real people. It’s easy to tell when you’re chatting with a robot, but it’s not always made clear to you by the chat widget.
But there’s a third chat option that you should consider in addition to live chat and chatbot software.
Self-service chat options make it clear to your customers that they are receiving automated help. By presenting menus instead of imitating a human conversation, self-service customer support empowers customers to find the answers they need on their own.
It’s a win-win, because the customers get the answers they need in real time, at any hour. And your team can focus on support tickets that are more important to the business.
Here are a few ways self-service chat options can work.
Up to 30% of incoming customer service tickets are shipping status requests. With self-service order management in the chat widget, customers are empowered to make these queries on their own — providing fast answers and reducing your support tickets.
These automated options are easy to add with Gorgias. This self-service adds buttons to the chat widget to automatically:
Quick service with chat automation provides quick, responsive customer service, which means better customer experience and a positive impact on revenue.
Barcelona-based shoe brand ALOHAS added self-service order management flows with Gorgias after experiencing a high chat volume. This allowed customers to find information on their own without a human needing to respond.
Here’s how a “track order” request looks in action:

When using a chat widget, you’ll notice the same questions come up again and again. You can satisfy those FAQs by adding quick answer flows into the chat widget.
These automations can be set up in the widget for questions like:
These automations can be customized for whatever FAQs are most relevant to your ecommerce store.
Here’s how it looks, for example, when an ALOHAS customer wants to find out more about the brand’s shipping policy.

Luxury jewelry brand Jaxxon has used these self-service quick responses with great success. The customer service team found themselves overwhelmed with customer questions and unable to respond as quickly as desired.
Jaxxon upgraded their live chat widget with Gorgias Automate with Quick Responses for customers. The result, combined with using Gorgias’ helpdesk, reduced live chat volume by 17% and lifted the on-site conversion rate by 6%.

Even when a customer chooses to type out a question, automation can be used to provide quick, customized service through the chat widget.
Gorgias can detect questions that come in through chat and provide automatic answers using Rules and Macros.
Here’s how the flow works:
The best part is this can not only be used for chat, but for responses to tickets coming in through other communication channels like email, social media, and SMS.
With Gorgias, you can make sure your chat widget isn’t missing a single ticket, even if your customer support team is offline.
First, you can set up your business hours to correspond with when you have live chat available. This will show up on your site’s chat widget by either showing the current status as online or offline.
From there, you can create automated responses for whether you’re offline or online. During business hours, this message can tell customers you’ve received their request and give a time by which they can expect a response.
After business hours, the responder can tell customers that although you’re offline, they can expect a response during the next day’s business hours via email.

You can also use a contact form which turns a chat into an emailed ticket. This is great to use after-hours and to make sure chat requests don’t get lost overnight.
The use of automation within customer service is multifaceted. As we discussed earlier, a human touch is critical for many customers, and speaking with an automated chatbot can be a turn-off. However, automation certainly has its place in the customer service process.
On the customer’s side, starting with self-service chat helps them receive quicker customer support at scale — a more satisfying experience. On your team’s side, automation allows for sorting, segmenting, and prioritizing tickets.
When self-service chat can’t solve an issue, someone from your support team can easily step into the conversation. You can use Macros — scripts that automatically bring in the customer’s information — to scale the human touch on your support team.
So in reality, it’s not automation vs human support. These are two complementary tools that work better together. And the result is a stronger and faster customer experience for your website visitors, which can increase your conversion rate by as much as 12%.
Still not convinced? In 2021, brands using the Gorgias chat widget generated an average of $38,702 from conversations involving chat. We have a whole post on live chat statistics that can help illustrate the impact our chat widget can have on your business.
If you’re an ecommerce business looking for an all-in-one customer support solution that includes live chat support and AI-powered chatbots, Gorgias is your one-stop shop.
Our algorithms are trained on hundreds of millions of ecommerce tickets, so you can be sure your customers are getting the right responses every time.
Plus, you can manage both live chat and chatbot conversations in the same dashboard that you use for all your other channels, including phone, email and major social media platforms. Bring in chat from other channels, including Facebook Messenger. We’ll even be supporting Whatsapp in early 2023.
Our customer support platform is available for Magento, Shopify, and BigCommerce users.
Read more about our chat offerings by clicking here.


