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Every Successful Marketing Campaign Starts with a Customer Question

A successful marketing campaign starts with questions only your CX team can answer.
By Holly Stanley
0 min read . By Holly Stanley

TL;DR:

  • Start with your CX team—they know what customers are asking. Their insights reveal what’s confusing, what’s converting, and what’s causing returns before marketing ever gets involved.
  • Turn pre-sale questions into better messaging. Use common support queries to improve landing pages, product descriptions, and emails so customers feel confident enough to convert.
  • Your best-performing products aren’t always the most hyped. Let real customer comments guide your messaging by identifying what people rave about in chats and reviews.
  • Customer confusion and returns usually stem from messaging gaps. Fix product pages, policies, and descriptions to better reflect what people need to know upfront.

Your CX team talks to customers every day. They know what’s confusing, driving purchases, and causing returns, because they hear it firsthand.

But all too often, those insights stay siloed in support tickets and live chat transcripts instead of informing the campaigns that shape the customer journey.

This post is here to change that. We’re breaking down the most valuable questions marketing teams should be asking their CX counterparts. When marketing and CX work together, you get more relevant messaging, smarter product positioning, and campaigns that convert.

Whether you’re planning a big seasonal push or just want to improve product education, this is where to start.

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1. What do customers ask about before buying?

Your CX team knows what makes shoppers hesitate. They’re the ones fielding questions like: Does this come in a larger size? Is it final sale? Will it arrive in time?

Beyond being pre-sale inquiries, they’re signals. They reveal what your customers care about most, and where your messaging may be falling short. When marketing teams tune into this, they can proactively address objections in landing pages, product detail pages (PDPs), emails, and top-of-funnel content.

AI Agent answers questions on email and chat.
No matter the product, Gorgias AI Agent can answer your shoppers’ questions right in chat.

At luxury jewelry store Jaxxon, Director of Customer Experience Caela Castillo saw firsthand how important it is to address these questions early. 

Chat used to be a support tool for repetitive questions and problem-solving, but now AI Agent takes care of that for us,” she said. Once those friction points were handled upfront, the CX team could focus on more meaningful conversations, and conversions improved.

And when AI recommended the wrong products? Conversions dropped. It was a clear signal that relevance matters, especially before the sale.

Ask your CX team:

“What do customers most often need to know before they buy, and how can we answer that earlier in the journey?”

2. What product do customers rave about—and why?

Your best-selling product isn’t always your hero product. Sometimes, it’s that under-the-radar item that customers can’t stop talking about. The one that shows up again and again in reviews, chats, and post-purchase surveys.

The insight is gold for marketers. The key is to find out why people love it. Is it the fit? The feel? The results?

At online fashion brand, Princess Polly, Alexandria shared that her team expected Gen Z shoppers to lean on AI for recs, but what really influenced them was customer feedback. Reviews, not bots, built trust. That’s why campaigns built around real customer language and experiences often outperform the most polished product copy.

Shopping Assistant can turn those rave reviews into real-time action. It highlights top products using your Shopify product catalog to make personalized recommendations, proactively assists shoppers by using behavior signals, and even offers tailored discounts when they’re ready to convert. That means less guesswork, greater relevance, and an easier path to purchase.

Ask your CX team:

“Which product do customers rave about most, and what exactly are they saying?”

3. What product causes the most complaints?

When customers are frustrated, it’s easy to blame the product. But in many cases, the issue isn’t quality, it’s communication.

At Shinesty, a men’s underwear brand, Molly Kerrigan, Senior Director of Retention, observed that high return rates often stemmed from unmet customer expectations

She noted the importance of maintaining clear and consistent communication as the company grows, “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.” 

Molly notes that using Gorgias AI Agent enables Shinesty’s customers to receive quick answers, freeing her team's time for more complex or sensitive issues.  

Similarly, Princess Polly saw that delivering a standout customer experience meant being fast, consistent, and helpful at every stage. After switching to Gorgias, their support performance improved dramatically:

  • 80% decrease in resolution time
  • 95% decrease in first response time
  • 40% increase in efficiency

Before changing the product, try updating the messaging. Use insights from CX to rewrite descriptions, add size guides, include user-generated content, or even build a quick-fit quiz. Small tweaks help set clearer expectations and reduce unnecessary returns.

Ask your CX team:

“Which products are driving the most complaints, and what do customers wish they knew before buying?”

4. What confuses customers the most?

Confusion is a conversion killer. If a customer isn’t sure about how something works, what’s included, or whether it’s right for them, they’re more likely to bounce.

That’s why it pays to ask your CX team where customers get stuck. Is it a product feature that needs more context? A vague store policy? A missing detail on a bundle?

The good news is that most confusion is fixable. Start with the following steps: 

  • Simplify your product pages
  • Add quick-hit FAQs to your emails
  • Use plain language and real examples

If you’re using Shopping Assistant, you can go even further. It can detect when shoppers are hesitant and provides real-time nudges. Like an assistant who knows all your needs, Shopping Assistant automatically surfaces the questions customers are likely to ask when evaluating a product, so they’re equipped with the clarity they need to proceed to checkout.

Gorgias Shopping Assistant can surface questions while shoppers browse and search for products.
Shopping Assistant uses a shopper’s browsing behavior to answer potential hesitations and questions automatically.

TUSHY, a modern bidet brand, faced similar challenges. As bidets aren't mainstream in North America, shoppers often had concerns about product compatibility and installation. They’d ask questions like:

  • Will a bidet fit my toilet?
  • Is installation complicated?
  • Which bidet is right for me?

Without immediate answers, many potential buyers would abandon their purchase. To address this, TUSHY implemented Shopping Assistant, providing instant support. Taking this approach resulted in an 81% higher chat conversion rate compared to human agents and a 13x return on investment.

“The Shopping Assistant has been a game-changer for our team, especially with the launch of our latest bidet models. Expanding our product catalog has given customers more choices than ever, which can overwhelm first-time buyers. Now, they’re increasingly looking to us for guidance on finding the right fit for their home and personal hygiene needs,” said Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY.  

Ask your CX team:

“Where do customers get confused most often—and how can we clear that up sooner?”

5. Which products are frequently bought together?

Your CX team picks up on patterns that analytics sometimes miss. They hear which items customers ask about in the same chat, which products get added to carts together, and which pairings people reorder time and time again.

That intel is a goldmine for bundling and upselling. It helps you build smarter campaigns that feel relevant and drive real value.

Zoe Kahn, owner of Inevitable Agency and former VP of Retention and CX at Audien Hearing, emphasizes the importance of using AI to enhance customer interactions.

“A lot of that revenue was potentially missed revenue because these were customers sitting on the site, asking questions about the products, and wanting an answer now so they could purchase…Now, AI can answer those questions immediately and convert those customers.”

With Shopping Assistant, you can act on these insights in real time. It will surface personalized product pairings, bundle suggestions, or accessories based on customer behavior. All before they hit the checkout page.

Shopping Assistant can detect shoppers' likelihood to convert
Shopping Assistant initiates relevant conversations by monitoring shopper behavior.

6. Which products lead to the most returns, and why?

Returns cut into your margins and chip away at trust. Most of the time, they’re not caused by poor-quality products. They happen because expectations weren’t met.

Your CX team already knows which items come back the most and why. Maybe the color doesn’t match the photos. Perhaps the fit runs small, or the product description left out a crucial detail. 

Instead of pushing the product harder, reframe how you present it. Add real customer photos. Include fit notes or a sizing chart. Call out anything that might surprise the customer post-purchase. A little clarity upfront goes a long way in reducing returns and boosting retention.

At Pepper, an intimates brand specializing in bras for small-chested bodies, they recognized the importance of pre-sale education. When customers have sizing questions, their AI Agent, Penelope, can provide immediate assistance.

“Penelope takes the information we give her and responds better than a Macro. She tailors it so that it sounds like a natural conversation between two people,” said Gabrielle McWhirter, CX Operations Lead at Pepper.

By proactively providing instant support, Pepper improved customer satisfaction and saw an 18% uplift in average order value.

Ask your CX team:

“Which products get returned the most—and what could we do upfront to change that?”

CX + marketing = smarter campaigns, better results

Before you launch your next campaign, start with a quick sync with your CX lead. They already know what your customers need to hear. You just have to ask.

From fixing messaging gaps to surfacing the right products at the right time, these insights help you connect with customers in personal, timely, and relevant ways.

Tools like Shopping Assistant make it easier than ever to act on this data in real time. You can turn CX knowledge into dynamic recommendations, personalized nudges, and smarter discounts.

Ready to see how you can improve your online shopping experience? Book a demo to see how Gorgias Shopping Assistant engages customers in real-time.

min read.

How to Use CX Data to Improve Marketing, Messaging & Conversions

Learn how to use CX data to power your marketing—improve messaging, launch smarter campaigns, reduce drop-offs, and boost conversions.
By Alexa Hertel
0 min read . By Alexa Hertel

TL;DR:

  • Your support inbox is full of marketing gold. CX insights can sharpen messaging and inspire high-impact campaigns.
  • Ticket data unlocks smarter segmentation. Use support interactions to build more relevant, behavior-based audiences.
  • Chat campaigns work better with CX insights. Tackle objections in real time and lift conversions with proactive messages.
  • Use objection data to reduce drop-offs. Identify common blockers and address them in product pages, ads, and chat prompts.
  • Help Center stats guide better content. Turn top-searched questions into FAQs, landing pages, and ad copy.

Today’s best marketing starts with your customers.

According to Forrester’s 2024 research, “Customer-obsessed organizations reported 41% faster revenue growth, 49% faster profit growth, and 51% better customer retention than those at non-customer-obsessed organizations.”

Support teams interact with hundreds or thousands of customers every week, collecting valuable insights in the process. This voice of the customer (VOC) data is a goldmine for marketers, but it too often stays siloed among CX teams.

Ahead, we’ll break down how ecommerce brands can tap into CX insights to drive better marketing.

5 ways to use CX data to improve marketing

CX can play a crucial role in driving growth, but many brands aren’t leveraging it for marketing insights yet.

When connected to marketing, CX becomes a proactive engine that fuels better segmentation, sharper messaging, smarter campaigns, and more personalized content. 

Support functions collect objections, complaints, compliments, and pre-purchase questions. When you capture and apply those insights, your marketing can target the precise roadblocks—and key sales differentiators—customers care about.

Here’s how to turn CX insights into a high-impact marketing strategy, with real examples from brands using Gorgias.

  1. Leverage ticket insights to improve messaging
  2. Segment customers based on support interactions
  3. Launch more targeted chat campaigns
  4. Reduce drop-offs and abandoned carts
  5. Monitor Help Center and Dashboard stats to craft smarter content

1) Leverage ticket insights to improve messaging 

When you want to sharpen your brand messaging, there’s no better place to look than your support inbox. Your support inbox is a rich resource full of information specific to your brand and your customers. 

Tools like Gorgias Ticket Insights help surface recurring themes, top questions, and friction points across all conversations. By analyzing these patterns, marketers can identify the exact words customers use to describe problems, questions, or product feedback and then reflect that language across ads, landing pages, and emails.

How to implement 

Spikes in tickets around specific topics (sizing, shipping timelines, and materials, for example) are insights marketers can use to update and improve corresponding content. 

This can increase confidence and conversion on key pages. 

By incorporating the same terminology and phrasing customers use in support conversations, brands can also increase resonance across ads, emails, and social media. Messaging that mirrors the customer’s language builds trust and helps audiences feel understood. 

Ask your CX team 💬 What product issues or themes have emerged this quarter?

A line graph showing trends in topics mentioned in tickets. Mentions about damage, refunds, and replacements are displayed.

For example, cordless heating cushion brand Stoov® used Ticket Fields in Gorgias to understand and resolve a ticket spike. By figuring out that some customers were dissatisfied with the battery life of its core product offering, the team was able to add an optional upsell. For €20, shoppers now have the option to purchase a larger battery. 

The results were meaningful: the brand saw 50% of customers opt for this battery, resulting in a 10% increase in average order value (AOV). And while the team saw a significant increase in revenue, they saw no increase in support ticket volume. 

2) Segment customers based on support interactions

Most marketers rely on transactional data—like past purchases or time since last order—to build audience segments. But support data reveals a whole new layer of context: behavior, concerns, sentiment, and urgency.

Tools like Gorgias’s Ticket Insights and Ticket Fields allow CX teams to customize different properties attached to tickets. Agents can fill these out to capture data more accurately. 

Here’s how these types of tools work: tickets come with a mandatory field for return reasons, product feedback, contact reason, etc. Before the agent closes the ticket, they use a dropdown menu to fill out the ticket field. 

How to implement 

Studying support interactions helps answer key questions around why customers are getting in touch. This data can provide marketing teams with a way to build smarter segments for campaigns or personalized journeys.

For example, if one product is getting a large amount of inquiries, marketing teams could segment customers interested in those products and launch pre-sales education campaigns.

Fashion brand Psycho Bunny switched from Zendesk to Gorgias to improve access to reporting tools that surfaced customer patterns and support trends. 

“By cross-referencing our Gorgias data with insights around basket size, product performance, and store performance, we can inform broader business decisions. For example, we can see if a certain store location generated more tickets or how many incoming queries are about a certain product,” says Jean-Aymeri de Magistris, VP IT, Data & Analytics, and PMO at Psycho Bunny.

By integrating insights like these with marketing workflows, teams can build more relevant segments that improve retention and engagement.

Ask your CX team 💬 Which customer segments are most likely to churn or repurchase?

3) Launch more targeted chat campaigns

Chat campaigns are proactive messages that trigger based on real-time behavior and context. You can use CX trends to design campaigns that directly address common objections, answer FAQs, or deliver tailored offers.

How to implement 

Start by reviewing your most common pre-purchase questions with your CX team. Then, create chat prompts that address those concerns exactly where they arise. For example, a sizing guide prompt on product pages or a shipping FAQ in the cart. 

Make sure your message feels helpful and not overly salesy. Conversational AI assistants like AI Agent can also tailor responses in real-time, helping customers get what they need without leaving the page.

Pepper product page showing wireless bras with a customer support chat box.
Intimates brand Pepper uses AI Agent to provide chat to help answer FAQs while customers shop.

Pepper, a size-inclusive bra brand, put this into practice by combining their AI Agent (named Penelope) with targeted chat campaigns to guide shoppers through one of their most common friction points: sizing. Thanks to insights from their support team, Pepper created messaging that helped customers find the right fit instantly. The result was an 18% uplift in average order value. 

“With AI Agent, we’re not just putting information in our customers’ hands; we’re putting bras in their hands. With Penelope on board, we’re turning customer support from a cost center to a revenue generator,” says Gabrielle McWhirter, CX Operations Lead at Pepper. 

Ask your CX team 💬 How are customers reacting to recent promotions or launches?

4) Reduce drop-offs and abandoned carts

When shoppers hesitate at checkout, it’s often because they don’t have the information they need.

Tapping into support conversations allows CX teams to identify common objections. They can then share those insights with marketing to refine product messaging, improve product pages, ads, and marketing campaigns.

How to implement 

Use customer service data to identify the top three objections customers have before converting. These might be concerns about sizing, compatibility, delivery time, or product setup. Then, pair that knowledge with a proactive AI sales tool like Shopping Assistant to offer timely answers that move shoppers closer to purchase.

For example, TUSHY, a modern bidet company, found that many prospective customers were hesitant because they weren’t sure how difficult the installation would be. By using a real-time shopping assistant to address these concerns directly on-site, TUSHY was able to guide shoppers past uncertainty.

TUSHY uses AI Agent helping a customer install an electric bidet on a skirted toilet.
TUSHY’S AI Agent can sense when a customer lingers for a while on a page, and offers help to guide them to checkout.

Ask your CX team 💬 What are the top three reasons customers contact us before they buy?

5) Monitor Help Center and Dashboard stats to craft smarter content

If you want to know what content your customers actually need, your Help Center holds the answers. Real customer questions are found right in Help Center search queries and article analytics.

By tracking which articles are most viewed, most searched, and most frequently updated, marketers can spot common knowledge gaps and fill them with high-value content.

How to implement 

Start by reviewing your Help Center Statistics to see which articles are performing well, which ones are underutilized, and what terms customers are searching for. 

If an article about “returns policy” is getting a spike in views, that’s your cue to simplify the policy or preempt questions with a dedicated email campaign. Marketing teams could also use this insight to build FAQ-rich landing pages, preempt questions in email flows, or even turn top-performing help content into organic blog posts or performance ad copy.

Dashboard showing support metrics by channel and ticket response performance.
Set up your Gorgias Dashboard based on your goals.

You can also use Gorgias's Dashboard to spot emerging trends across all your channels. This custom reporting feature lets you choose from various charts that reveal high-level patterns—like the most common contact reasons or sudden spikes in ticket volume—giving marketers early insight into shifting customer sentiment and trending topics across social platforms.

Ask your CX team 💬 Which articles in our Help Center are most searched right now?

Find alignment between CX and marketing teams

When support and marketing teams collaborate, you unlock a cycle of continuous improvement. CX teams surface the insights, marketing turns them into strategy, and both sides drive measurable results.

Here’s how to make it work:

  • Set up recurring syncs between CX and marketing teams to review insights from customer service reports.
  • Involve support in campaign planning to consider what customer objections might come up. 
  • Encourage CX to tag tickets based on themes or behavior that marketing can act on.

Unlock revenue by listening to your customers

We need to reframe CX as a proactive function that drives revenue.

Support teams already have the answers marketers are searching for. You just need the tools to tap into them. Gorgias makes that easy, with flexible reporting features, powerful AI, automated tagging, and integrations that bridge the gap between CX and marketing.

Want to connect your support data to better marketing?

Explore Gorgias’s analytics tools or book a demo to speak to a product expert about how to integrate your support strategy with marketing.

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min read.

The Hidden Cost of Not Adopting AI in Ecommerce

77.2% of ecommerce leaders use AI daily. Non-adopters are losing time, trust, and revenue.
By Tina Donati
0 min read . By Tina Donati

TL;DR:

  • Ecommerce brands not using AI are falling behind, as 77.2% already use it daily to boost efficiency and revenue.
  • AI saves time and cuts costs, like Trove Brands saving $23K/month and reducing cancellations by 70%.
  • Customers want speed and privacy—AI provides fast, judgment-free answers in sensitive categories.
  • AI empowers support teams by handling routine tasks so agents can focus on high-value interactions.

Doing nothing when there’s rapid change happening in an industry is risky business.

Right now, according to our latest report, 2025 Ecommerce Trends, 77.2% of ecommerce professionals are already using AI in their day-to-day work. What happens if you’re part of the 22.8% that isn’t?

Inaction is action—one that’s a quiet drain on revenue, resources, and reputation.

Every minute spent on manual work is a minute your competitors are focusing on higher-value customer interactions, improving CX, testing offers, and scaling campaigns.

And the cost of falling behind is compounding fast. Here’s what you’re losing when you pass on AI.

Time lost = money lost

As support volume grows, so does the cost of inefficiency.

Nearly 80% of CX professionals say AI saves them time. In fact, 83.9% of support leaders using AI in Gorgias say it has made their teams more efficient.

Trove Brands experienced this firsthand:

  • They reduced missed cancellations by 70%
  • And saved $23,000/month in labor costs by automating repetitive support tasks

If AI can handle 70% of your support tickets, your team finally has the time—and headspace—to focus on the 30% that actually builds trust, drives repeat revenue, and improves the customer experience.

Trust when customers need it most

Hot take: AI isn’t impersonal. Not using it is.

In 2024, nearly one-third of CX leaders worried AI would make interactions feel less human. A year later, that number dropped by half. 

Why? Brands started to see that AI wasn’t hurting the customer experience, it was removing friction from it.

For sensitive or personal products—think wellness supplements, intimate gifts, or anything a shopper might feel awkward asking about—AI creates space for honesty without judgment. And that can change the outcome entirely.

“Too often, a great interaction is diminished when a customer feels reduced to just another transaction,” said Ren Fuller-Wasserman, Senior Director of Customer Experience at TUSHY. “With AI, we let the tech handle the selling—unabashedly, if needed—so our future customers can ask anything, even the questions they might be too shy to bring up with a human. In the end, everyone wins.”

It’s a powerful point, especially for brands where discretion matters. AI removes that barrier. 

You're losing trust if your support experience still makes customers hesitate. For many, that means being able to get an answer without needing to explain themselves first.

Revenue hiding behind unanswered questions

Every unanswered pre-sale question or missed upsell is revenue slipping through your fingers.

Product recommendations alone have the potential to increase revenue by up to 300%, boost conversion rates by 150%, and drive 50% higher AOV. But those results don’t come from hoping customers find what they need. They come from proactively guiding them.

That’s where AI comes in.

With Gorgias AI Agent and automation features, for example, Kirby Allison

  • Increased conversions by 23%
  • Grew sales from support by 46% in just two months

“Our favorite features are definitely Flows and Article Recommendations. They drive so much automation for us. Shoppers get answers to their questions by themselves—what’s the right size hanger, where is my order, what shoe polish would you recommend, etc,” said Addison Debter, Head of Customer Service.

Flows let Kirby Allison surface up to six commonly asked questions directly in the chat widget. When clicked, each one opens a relevant help article—no agent needed.

Auto responses also allowed the team to handle common inquiries like sizing, shipping, and order tracking before a human ever steps in.

If your support team isn’t set up to handle pre-sale conversations at scale, the cost isn’t just in time. It’s in all the revenue you never realize you’re missing.

A CX team stretched thin

It might sound counterintuitive, but AI gives your team more space to be human.

The myth that AI replaces agents is still floating around in some circles, but the reality inside fast-growing ecommerce teams looks different.

In fact, AI frees up time for your team to focus on what they do best: solving complex problems, building relationships, and creating moments that actually drive loyalty.

SuitShop is a perfect example of this in action. When the team adopted AI Agent, they paired automation with intentional escalation: 

“We’re helping customers feel confident during some of the most important moments in their lives—weddings, proms, job interviews, and everything in between. Naturally, my biggest concern with introducing AI was: ‘Will customers feel like they’re getting the same level of care from AI?’ But learning that AI Agent would pull knowledge from our Help Center articles and Macros, which are already written in our brand voice, made me feel more confident,” said Katy Eriks,
Director of Customer Experience.

AI was able to handle common pre-sale questions like shipping timelines and product availability, while human agents stepped in for customizations, wedding-specific questions, and tailored styling support.

The goal wasn’t to remove the human element. It was to give their agents the time and context to show up more meaningfully.

The longer you wait, the harder it is to catch up

In just one year, AI adoption among Gorgias users jumped from 69.2% in 2024 to 77.2% in 2025.

Excitement is rising, too: 55.3% of ecommerce professionals now rate their interest in AI as 8–10 out of 10, up from 45.6% the year prior.

AI is no longer in its experimental phase. It’s the standard, baked into everyday workflows across ecommerce.

If you’re still on the sidelines, 2026 is going to feel like a catch-up game.

The good news? You don’t have to overhaul everything to get started.

So while we’re on the topic of speed, let’s walk through how to start implementing AI for your brand.

How to get started with AI

You don’t need to automate everything on day one. The best CX teams start small, pick the right entry points, and give AI the same level of care you’d give a new team member. Here’s how to roll out AI in a way that actually works:

1. Vet your options thoughtfully

When searching for a new AI tool to help you manage CX, look for one that:

  • Offers strong tone-of-voice control so your AI doesn’t sound like a chatbot from 2012
  • Delivers consistently accurate responses, even as inputs and workflows evolve
  • Provides real post-sale support to help your team troubleshoot, train, and scale usage

Price matters, but it shouldn’t be your only filter.

Also, AI should make your team feel more capable. If it feels like a bolt-on or requires constant developer help, it’s going to create friction, not solve it.

2. Make someone own it

The most successful AI implementations all have one thing in common: someone owns it.

“One of our CX Managers spent 30–40 hours a week building and refining AI. That ownership was critical,” said Sarah Azzaoui, VP of Customer Experience at Clove, when she was explaining how her team first got started with AI.

What many people don’t realize is that AI isn’t going to be perfect out of the gate. AI takes real time and intention to build out. Assigning a clear point person—or better, a small squad—ensures someone is tracking performance, making optimizations, and flagging edge cases.

3. Involve your CX team from the start

No one knows your customer conversations better than your support team. They see the full range of questions, tone, friction points, and emotional nuance every day.

Bringing them into the AI rollout early helps you:

  • Identify which questions are repetitive and low-stakes
  • Flag which issues should always be handled by a human
  • Set realistic expectations across the org about what AI should handle vs. what it could handle

This step also builds trust. If your agents feel like AI is something being done with them instead of to them, adoption is smoother and the outcomes are better.

4. Start small with the right topics

One of the biggest mistakes brands make with AI is trying to do too much, too soon. AI rollout should feel like a phased launch, not a switch flip.

Start in a test environment if your platform allows for it. Roll out automation in stages—by topic, channel, or ticket type—and QA every step of the way.

We suggest beginning with high-volume, low-complexity tickets like:

  • “Where’s my order?”
  • Subscription pauses or cancellations
  • Returns and exchanges
  • Store policies and FAQs

Platforms like Gorgias offer tools like Auto QA that track whether AI responses hit the right tone, offer accurate answers, and resolve issues effectively. Use those tools to catch gaps early and monitor performance over time.

That slow, deliberate rollout pays off in performance. At Psycho Bunny, AI Agent now automates 30% of customer tickets, with custom messaging that reflects their brand tone and processes.

Once you’re ready to scale, you’ll feel more confident that the simple queries are handled correctly while you start to train the AI on more nuanced questions.

For example, Gorgias’s Guidance feature gives AI access to non-public SOPs so it knows how to respond or when to escalate.

“The Guidance feature is so important,” said Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny. “We have a lot of processes that we definitely don’t want described in a customer-facing article, but we want AI Agent to be able to access that information and manage tickets accordingly.”

5. Prep your knowledge base

Even the best AI platform can’t succeed without solid inputs.

Before you roll out, take a hard look at your help docs and macros:

  • Are they accurate?
  • Are they clear and consistent in tone?
  • Are they tagged so AI can understand when to use them?

Think of this step as training your AI. The stronger your internal content library, the more helpful and brand-aligned your AI will be across every channel.

6. Communicate with customers

Whether you disclose AI usage is up to you, but be intentional.

Some brands choose anonymity for a more seamless experience. Others find that transparency builds trust, especially when something goes wrong.

What matters most is that your approach aligns with your brand tone and customer expectations—and that clear escalation paths are in place if a conversation needs a human.

Research shows that 85% of consumers want companies to share their AI assurance practices before rolling out AI-powered experiences. Customers are open to AI. But they expect clarity when it counts.

7. Scale the program over time 

Once you’ve built the foundation, scaling AI across your CX org becomes a lot easier.

“We started with cancellations. Now we’re rolling out warranty claims, retention campaigns, and more,” said the team at Trove Brands.

After proving value with one or two ticket types, look for opportunities to expand:

  • Pre-purchase product recommendations
  • Exit-intent offers via chat
  • Predictive personalization
  • Multichannel automation across email, SMS, and live chat

The goal is to implement smarter automation that makes your team more effective and your customers more supported.

The future is human + AI

The best CX teams aren’t choosing between AI and human agents. They’re choosing both and building stronger systems because of it.

“It’s not human agents vs. AI,” said the team at Clove. “Our team helped shape the AI strategy—and that changed everything.”

But ignoring AI? That comes at a cost. And it’s not just inefficiency. It’s:

  • Missed sales from unanswered questions
  • Slower support that erodes customer trust
  • Burnt-out teams stuck in reactive mode
  • Lower CSAT from inconsistent experiences
  • And eventually, falling behind as the rest of the market moves forward

It’s time to build it into your workflows. Not just as a helper, but as a core part of your team.

Start using Gorgias AI Agent to reduce ticket load, recapture revenue, and deliver the kind of support that actually feels personal.

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

Further reading

Which Gorgias Plan Should You Choose?

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

TL;DR:

  • Gorgias subscriptions are billed monthly or yearly. Yearly plans get two months free.
  • Gorgias uses ticket-based pricing by charging per billable ticket, automated interactions, and overages. Gorgias does not charge per user.
  • Billable tickets are tickets answered by an agent or Rule. The messages within a ticket are not charged individually.
  • Overages happen when you exceed your plan’s ticket volume. When your business grows and your usage increases, we will notify you when it’s time to upgrade to the next plan.
  • Find your monthly ticket volume by using our pricing page.

Not sure which Gorgias plan is right for you? It all starts with understanding how many customer interactions you handle each month.

Whether you’re just starting out with 50 tickets or managing thousands across different channels, we’ve got you covered.

Our ticket-based pricing grows with your business, making it flexible and easy to scale.

This guide will help you figure out your ticket volume, explore the plan options, and find the perfect fit for your needs.

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How does Gorgias’s pricing structure work?

Billing is based on a monthly or annual subscription, with plans determined by the number of billable helpdesk tickets, automated interactions, and overages.

A billable ticket is any ticket where an agent or Rule (an action that triggers based on certain conditions) responds to a customer's message. Each ticket you receive on your helpdesk is counted as one billable ticket, no matter how many messages are exchanged in the thread.

An automated interaction is a customer request resolved with AI Agent features, including Flows, Order Management, Article Recommendations, and AI Agent.

Important: A billable ticket can also be classified as an automated interaction depending on the timing of the responses. If an agent or Rule responds more than 72 hours after the automated interaction, it will be billed as both. If the response is within 72 hours, it will be billed as a single billable ticket.

Overages occur when your billable ticket/automated interaction volume exceeds the number included in your plan. Consider changing to a yearly plan if your volume fluctuates from month to month. We will also notify you when to upgrade to the next plan to save money.

This structure applies to all our products and add-ons, making it flexible and scalable to fit businesses of any size:

  • Helpdesk 🖥️: All-in-one inbox with 100+ ecommerce app integrations; charged by billable tickets
  • AI Agent 🤖: AI-powered features that can automate 60% of support interactions, including conversational AI; charged by automated interactions
  • Voice ☎️: Support channel add-on; charged by Voice tickets
  • SMS 💬: Support channel add-on; charged by SMS tickets

Why ticket-based pricing, not seat-based?

Gorgias uses a ticket-based pricing model, allowing you to grow headcount without worrying about increased costs. We believe in AI-powered CX, and as AI tools become universal, brands can rely on agents to handle tasks more effectively at accelerated speeds.

Take a look at the advantages of paying by ticket volume:

  • Cost-effective: You can have unlimited support agents without incurring additional costs.
  • Efficiency through automation: Pairing our automation-focused platform with ticket-based pricing means deflecting and automating tickets is the goal, which helps businesses improve efficiency and reduce manual workload.
  • Flexibility: Managing costs is more straightforward with ticket-based pricing, as companies can pay overage fees rather than temporarily upgrading to a higher-tier plan.

How to find your current monthly ticket volume

You may be coming from another helpdesk or currently trying out Gorgias. If you’re considering switching to Gorgias, it’s important to know your current monthly ticket volume.

Below, we show you how to find your monthly ticket volume whether you’re using Zendesk, Tidio, Shopify Inbox, Re:amaze, or the Gorgias trial.

Find your monthly ticket volume on different helpdesks

Here’s how to find ticket volume on the helpdesk platforms Zendesk, Tidio, Shopify Inbox, and Re:amaze.

Zendesk

Zendesk support dashboard
  1. In Explore, click the Dashboard icon in the left sidebar.
  2. Select the Zendesk Support dashboard.
  3. Click the Tickets tab.
  4. Set the Time to a one-month range.
  5. Note your monthly ticket volume in the Created tickets section.

Tidio

Tidio Usage and Plan dropdown options
  1. Click the Usage & Plan button in the top right of the Tidio panel. 
  2. Note your monthly ticket volume in the Customer service row under Current usage.

Shopify Inbox

The Overview page on Shopify Inbox
  1. Go to Shopify Inbox > Overview.
  2. Note your monthly ticket volume under Conversation metrics.

Re:amaze

The Overview page on Re:amaze
  1. Click on the Reports icon in the menu.
  2. Under Team Reports, click Overview.
  3. Note your monthly ticket volume under Last 30 Days Volume.

Find your monthly ticket volume on the 7-day Gorgias trial

Here’s a four-step guide to accurately gauge your monthly ticket volume on the Gorgias trial.

Step 1: Connect all your support channels 

Immediately after sign-up, connect all the channels you offer support on, such as email, social media, voice, SMS, etc. All messages from these channels will now be consolidated in the Helpdesk. 

Use Gorgias to reply to all incoming messages for the entire 7 days. This is crucial because only replies sent from the helpdesk will count as billable tickets. This process ensures you select the right pricing plan after the trial ends.

Find your ticket volume in Statistics > Support Performance > Overview. There, you can view your ticket volume (created, closed, and open tickets) and support metrics like first response time and resolution time.

Gorgias created vs. closed tickets view in Statistics
Automate overview in Gorgias

Step 2: Note the total tickets used at the end of the 7-day trial

Go to Statistics > Account > Billing & usage > Usage & Plans. To get your estimated monthly ticket volume, multiply the number of tickets used by 4 (for four weeks). For average yearly ticket volume, multiply the resulting number by 12.

Tickets used with Gorgias Helpdesk and Automate

Step 3: Estimate the number of automated interactions

As a starting point, we recommend automating 10-20% of your annual ticket volume to increase repeat purchases, reduce response times, and increase overall customer satisfaction. 

Multiply your yearly ticket volume by 0.2 to find the optimum number of automated interactions you need.

Step 4: Use the pricing calculator

Once you’re ready to find the plan that works for you, input your anticipated number of tickets, automated interactions, and Voice and SMS tickets per month into the pricing calculator.

How the Gorgias pricing calculator works

Our pricing calculator is designed to help you find the most cost-effective plan for your business needs in four simple steps.

Step 1: Estimate your customer support ticket volume per month

Use the slider to set the number of tickets your store receives per month, ranging from 0 to 10,000.

Not sure how many tickets you receive per month? On average, brands receive one support ticket for every 15 orders.

Step 2: Select your helpdesk plan

You can choose from four plan options. The first is a base plan with the number of tickets you can use per month and the overage fee. The following plans are the base plan with the addition of automated tickets, ranging from 10%-30% automation.

Pro Tip: Based on 2023 data, brands that automated 20% of their tickets substantially reduced response times and resolution times and increased CSAT. 

Step 3: Choose your add-ons

Expand your customer service channels by adding Voice and SMS tickets to your plan.

  • Voice add-on: Select your monthly voice ticket volume if you receive and make calls. There is also a pay-as-you-go option.
  • SMS add-on: Select your monthly SMS ticket volume if you send and receive SMS texts. There is also a pay-as-you-go option.

Step 4: Select a monthly or yearly plan

Lastly, finalize your selection by toggling the option to pay on a monthly or yearly basis. You’ll see your final plan summary along with the time and money you save. When you’re ready, click ‘Book a Demo’ to get started with Gorgias.

Which plan should I choose?

Choosing the right Gorgias plan depends on your estimated ticket volume. Here are our recommendations based on your monthly ticket volume.

Customer Interactions

Who You Are

Plan Recommendation

What You Get

50 tickets per month

First-time helpdesk user without a support team

Starter + Automate

Basic support tools, three users, essential integrations

50-350 tickets per month

Small business with 1 agent

Basic + Automate

Unlimited user seats, essential integrations, self onboarding

350-2,500 tickets per month

Medium business with a growing support team of 1-3 agents

Pro + Automate

Unlimited user seats, unlimited integrations, lite onboarding support

2,500-6,000 tickets per month

Large business with a support team of 2-4 agents

Advanced + Automate

Unlimited user seats, unlimited integrations, full onboarding support

6,000+ tickets per month

Enterprise businesses with a support team of 4-5 agents

Enterprise + Automate

Unlimited user seats, unlimited integrations, full onboarding support

8,000+ tickets per month

Enterprise businesses with a large support team

Enterprise + Automate

Unlimited user seats, unlimited integrations, full onboarding support, customized solutions

Pro Tip: We include Automate in every recommendation because it can automatically resolve up to 60% of your customer inquiries, freeing you from repetitive work and allowing you to focus on more complex tasks.

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How to Reduce CX Stress in 2025 with AI and Automation

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

TL;DR:

  • Automate repetitive questions to give agents time back. Use tools like Help Centers, Flows, and AI agents to handle common queries so agents can take care of more complex issues.
  • Lower response times with automation. Set up automated email responses, use Flows, and leverage AI Agents to reply to customers faster.
  • Maintain a consistent tone of voice with AI. Automate QA processes and provide custom tone instructions to ensure every response aligns with your brand's voice.
  • Self-serve returns and use chat campaigns to upsell. Use tools like Loop Returns for self-serve returns and Gorgias Convert to boost revenue with personalized upselling campaigns.

According to Salesforce research, 77% of support staff have dealt with increased and complex workflows compared to the year prior. In addition, 56% of agents have experienced burnout due to support work. 

As teams transition into the next era of CX—one where almost every customer expects efficiency, convenience, and friendly and knowledgeable service –– they’ll need the support of more than just a stellar lead to avoid the stress that comes with the job.   

AI and automation are valuable and impactful tools that can aid teams in providing these top-notch experiences while helping agents lower their own stress. 

Here are seven ways to leverage AI and automation to increase agent productivity, meet customer expectations, and decrease burnout on CX teams. 

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How to reduce stress with AI and automation

While there will always be reasons for human intervention, here are seven support challenges that AI and automation can solve for CX teams long term. 

  1. Tackle repetitive questions 
  2. Lower response times
  3. Keep a consistent tone of voice
  4. QA responses at scale
  5. Upsell customer conversations
  6. Let customers self-serve returns
  7. Address common points of confusion

1) Tackle repetitive questions

Every CX team receives repetitive questions like “where is my order” (WISMO), “can I change my shipping address,” or “what is your return policy” every single day. These questions add up over time, creating frustration and burnout for agents and longer response times for customers. 

Instead, teams can leverage AI and automation to answer these questions and take time back for other essential tasks. 

How to use AI and automation to reduce repetitive questions 

If you use Gorgias, there are a couple of ways to put automation to work. 

  • Lowest effort: Create a Help Center. Help Centers are beneficial for a couple of reasons. First, they give customers an avenue for self-service. Second, they're the primary knowledge source that Gorgias AI Agent draws from. To make setup a breeze, browse 50 help center templates with included answers, all customizable to your brand’s policies.  
  • Medium effort: Set up Flows. Flows guide simple automated interactions that get customers the answers they need. Flows might help customers understand sizing, learn how long delivery will take, or find warranty information.  
  • Highest effort: Activate AI Agent. AI Agent is conversational AI that can handle repetitive tickets for teams by learning your brand’s policies, tone of voice, and specific instructions. 
US customer support pop up on Pajar's home page
Pajar uses strategic automation to tackle repetitive customer questions like “Can I return my online purchase in store.” Pajar
"Gorgias's AI Agent has been a game-changer for us, allowing us to automate nearly half of our customer service inquiries. This efficiency means we don’t need to hire additional staff to manage routine tasks, which has saved us the equivalent of two full-time positions.

—Noémie Rousseau, Customer Service Manager at Pajar

Resource: How to automate half of your CX tasks

2) Lower response times

Many customers get frustrated due to delayed support responses, especially if (they believe) they’re asking a simple question. Not only can AI and automation support by offering responses to these questions, they allow human agents to respond faster to customers who have more complex questions. 

How to use AI and automation to lower response times  

  • Lowest effort: Use automated acknowledgment responses to reassure customers that you’ve heard them, and provide a time frame for when they can expect to hear back. This can be as simple as setting up an email to trigger each time a customer sends in a support request. 
  • Medium effort: Set up Flows in Chat to give customers quick, automated answers to common questions.
  • Highest effort: Use AI Agent to answer customers 10x faster than your human agents. 
AI Agent in action

AI Agent has been an effective tool for the team at luxe golf accessory shop VESSEL. “Now we’re able to get back to people so much faster than before,” says Lauren Reams, their Customer Experience Manager. 

“We can quickly collect information – avoiding the back and forth questions like what is your name, email or shipping address. Using AI to eliminate the back and forth has been great, and getting back to customers much faster than before has been the biggest win for our team.” 

3) ​​Keep a consistent tone of voice

If customers see an inconsistent tone of voice across responses, it’ll affect your brand credibility. It also causes confusion and may create issues maintaining repeat and loyal customers. 

How to use AI and automation to keep tone of voice consistent 

  • Lowest effort: Set up AI Agent’s tone of voice with custom instructions. While AI Agent comes with three pre-set options (Friendly, Professional, and Sophisticated), you can also provide custom Guidance for how you’d like it to sound.
  • Medium effort: Use Macros or templated responses to always keep agents on brand.  
  • Highest effort: Conduct agent training via an automated QA system. Auto QA can provide instant feedback on agent responses to ensure they’re on brand and use the right tone of voice.
Different settings for Gorgias's AI agent brand voice
If you use Gorgias, you’ll be able to set specific tone of voice parameters, like the three pre-built options: friendly, professional, or sophisticated. Gorgias

4) QA responses at scale

Manual quality assurance checks are time-consuming and often inconsistent. But they’re key to providing great support at scale while maintaining a high standard across thousands of interactions. Aside from catching any errors, a regular QA process also builds trust with customers, increases personalization, and helps agents improve over time. 

How to use AI and automation for QA

Automated quality assurance can provide up to 90% accuracy, according to research by McKinsey. To ensure 100% of your customer conversations are checked, used Auto QA. This AI-powered QA tool evaluates your team's responses—AI or human—based on Resolution Completeness, Communication, and Language Proficiency.

A text field for
Gorgias Auto QA evaluates responses in seven areas to give you the most accurate QA score.

5) Upsell customer conversations

When CX teams are bogged down with an overwhelming amount of tickets, there’s going to be a lack of time and opportunity to upsell in customer conversations. This is especially true when dealing with angry or upset customers, and during high-impact periods like BFCM

How to use AI and automation for upselling 

Activate onsite marketing campaigns with Gorgias Convert to provide product recommendations and promote current discounts, sales, or campaigns.

For example, you can use AI to promote relevant items to shoppers to increase their cart value. You might highlight items that are frequently bought together, or show a bundle that would make a great gift for someone. Research shows that these types of personalized recommendations can increase average order value (AOV) by 15%. 

Gorgias Convert campaign setup
A Convert campaign that recommends shoppers similar products based on what's in their cart.

Resource: 5 Holiday Onsite Campaigns to Maximize Year-End Sales

6) Let customers self-serve returns

The National Retail Federation (NRF) projects that retail returns will total $890 billion in 2024. With so many brands losing money from returns, it’s essential that you find ways to mitigate them. 

How to use AI and automation for returns

By switching to Gorgias, Audien Hearing saw nearly a 5% drop in return rates. And Rumpl saw $8,000 in recouped return fees by integrating Loop Returns with Gorgias. 

Loop lets customers self-serve returns through a returns portal that encourages exchanges instead. It makes the entire process a breeze, and eliminates back and forth between customers and busy support teams. 

A demo interface of Loop returns that asks shoppers why they're returning an item
An example of what the Loop interface looks like. Loop Returns

7) Address common points of confusion

Many times, issues that were completely avoidable are escalated, leaving support teams with more tickets and already frustrated customers. These issues are likely common points of confusion that you can easily solve before they ever reach your customers. 

How to use AI and automation to ease confusion

If you use Gorgias, here’s how you can leverage automation:  

  • Lowest effort: Update your Help Center to address FAQs or policies customers have found confusing in the past. 
  • Medium effort: Create Flows to address frequently asked questions. 
  • Highest effort: Set up AI Agent’s handover rules to only escalate certain topics to your human team. 
How to set up handover and exclusion rules for Gorgias's AI Agent
If you use Gorgias, here’s how to set up how AI Agent behaves, including handover rules. Gorgias 
“I’ve been in this role for four years and this was probably our best back to school season yet. In past years, you knew you were going to come in and be bogged down – but this year was way more seamless and much less stressful and that’s thanks to AI Agent.”

—Danae Kaminski, Customer Care Team Lead at Jonas Paul Eyewear

Get time back to do what really matters 

At Gorgias, our goal is to create solutions to the real problems CX professionals face every day. Tools like AI Agent make it possible for teams to provide better customer experiences, reduce agent stress, and create more cohesive and positive working environments overall.  

”Thanks to the time we've saved by automating many of our routine tasks, our team has had the chance to bond more,” says Noémie. 

“We even had time for a team picnic and painted a picnic table outside! It’s been great to step away and spend time as a team occasionally, knowing that our customers are still being taken care of by the AI Agent. It’s really improved team morale.”

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How to Refresh Your Help Center for 2025: A Step-by-Step Guide

By Holly Stanley
min read.
0 min read . By Holly Stanley

TL;DR:

  • Audit your help center. Review analytics, gather feedback, and test usability to identify gaps and outdated content.
  • Update and optimize content. Add trending FAQs, visuals, and clear formatting to improve readability and usability.
  • Boost accessibility and SEO. Place links across your site, optimize with keywords, and integrate with proactive support tools.
  • Leverage AI for better support. Use your help center to train AI tools and regularly update content for accuracy.

The start of a new year is the perfect time to give your help center the refresh it deserves. For many ecommerce brands, the help center is one of the most underused support tools—yet it's also one of the most powerful. 88% of customers already search your website for some kind of knowledge base or FAQ.

Customers expect fast answers, and a well-designed, updated help center can meet their needs while taking some weight off your support team. We’ll walk you through why refreshing matters and how to do it.

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Why refresh your help center?

90% of consumers worldwide consider issue resolution their top priority for customer service. A robust help center gives you the tools to meet this expectation, delivering fast and reliable solutions that simplify your customers’ lives.

A well-designed help center benefits both your customers and your team. For customers, it lets them solve problems quickly and independently. Instead of waiting for an email response or queuing for live chat, a help center empowers them to find answers on their own terms 24/7. 

For your team, a refreshed help center is transformative, too. Here’s what a help center update can achieve:

  • Deflect repetitive pre-sale questions: Save your agents from answering the same FAQs over and over by addressing common queries proactively in your help center.
  • Support your team: Equip agents with easy access to up-to-date product, service, and policy information. You’ll reduce response times, and your team will deliver consistent answers.
  • Train AI tools: Turn your help center into a powerful data source for AI tools. Comprehensive, structured content helps AI provide accurate and consistent responses, giving customers fast solutions and further reducing ticket volume.

In short, refreshing your help center will improve customer experience and boost efficiency across your entire customer service strategy. It’s a win-win for everyone.

How to refresh your help center: 4 steps to follow

Refreshing your help center doesn’t have to be overwhelming. By breaking the process into clear, actionable steps, you can transform your help center into a powerful self-service tool that delights customers and supports your team. 

Here are four key steps to guide your refresh.

Step 1: Audit your existing help center

Before making any major changes, you need to understand where your help center currently stands. A thorough audit will help you identify areas for improvement and ensure you make targeted updates.

Here's how to start:

Review analytics

Dive into your help center metrics to spot underperforming content. Look at article views, time-on-page, and bounce rates. Low engagement might mean the content is unclear, irrelevant, or hard to find.

With a customer experience platform like Gorgias, you can view the performance of each article:

Help Center Statistics displays performance by article
Performance by article can be found under Help Center Statistics in Gorgias.

Survey your customers

Customer feedback is invaluable. Use surveys or follow-up emails to ask customers what information they had trouble finding. Their responses can highlight blind spots in your help center.

Add CSAT questions

At the end of each help center article, include a simple question like, "Was this content helpful?" Use the feedback to pinpoint which articles are effective and which may need improvement.

Was this article helpful? is included in Gorgias's help center articles
Gorgias’s Help Center lets customers give feedback on articles.

Test usability

Put yourself in your customers’ shoes. Try searching for answers to common questions. Is the layout intuitive? Are the search results helpful? A smooth user experience is key to a successful help center.

Evaluate content freshness

Check if your articles are outdated or missing important updates, like new product features or policy changes.

Read more: How to create and optimize a customer knowledge base

Step 2: Update and optimize your help center content

Fresh, well-organized content is the backbone of a great help center. Customers rely on clear and accurate information, so investing in your content can transform your help center into a powerful self-service tool. 

Here’s how to refresh your content and make it shine:

Add trending FAQs

Regularly analyze support tickets to identify common and emerging questions. Integrate these into your knowledge base to address customer needs proactively and reduce incoming tickets.

Create multimedia content

Text alone isn’t always enough. Use images, GIFs, and videos to break down complex topics and make instructions easier to follow. For example, a quick explainer video can save customers time and eliminate confusion.

Princess Polly’s customer help center exemplifies what a great help center should look like. Its visually appealing design ensures that customers can quickly navigate to the information they need. Whether they’re looking for help with shipping, payments, returns, or any other issue, the intuitive layout makes the process simple and stress-free.

Princess Polly's Help Center is powered by Gorgias
Princess Polly’s Help Center is powered by Gorgias.

Gorgias lets you customize fonts, logos, and headers for your Help Center without any coding. If you want more customization, you can dip into HTML and CSS to tailor specific elements.

Standardize your tone

Ensure your content reflects your brand voice while staying approachable and customer-friendly. Consistency builds trust and reinforces your brand identity.

Need help finding your brand voice? Read AI Tone of Voice: Tips for On-Brand Customer Communication for guidance.

Update outdated articles

Review older content for inaccuracies or missing information, such as policy changes or new product details. 

Structure for readability

Use bullet points, short paragraphs, and clear headings to make articles easy to scan. Most customers skim for quick answers—design your content to match their behavior.

Step 3: Make your help center easy to find

Even the most well-crafted help center is ineffective if customers can’t locate it. Ensuring visibility across all customer touchpoints is key to driving engagement and making self-service the first stop for support. Here’s how to do it:

Link it everywhere

Make your help center easily accessible by placing links in strategic locations, such as your website’s header, footer, and main navigation menu. Include links in transactional emails, like order confirmations, tracking updates, or shipping updates, where customers often have questions.

Improve SEO

Optimize your help center articles with keywords your customers are likely to search for. Use clear, concise titles, meta descriptions, and headings to boost search engine visibility and help customers find answers directly from Google.

Integrate with support tools

Use tools like automated chat and automated email responses to proactively surface relevant help center articles. For instance, when customers type a question in a chatbox, suggest related articles before escalating to a support agent.

Read more: Offer more self-serve options with Flows: 10 use cases & best practices

Promote it proactively

Don’t wait for customers to stumble upon your help center—promote it! Highlight it in onboarding emails, social media posts, and banners on your site.

Jonas Paul's Help Center can be found in their website footer
Jonas Paul Eyewear links to their Help Center in their website footer.

Jonas Paul Eyewear ensures their help center is easy to access by prominently linking it in the website’s footer under the “Quick Links” section. The thoughtful placement ensures customers can quickly navigate to the help center from any page, making it a convenient resource for addressing their questions or concerns.

Read more: Boost your Help Center's visibility: Proven strategies to increase article views

Step 4: Use your help center to power AI tools

Your help center isn’t just for customers—it will also level up your AI-driven support strategy. By structuring your knowledge base effectively, you enable AI tools to deliver accurate, reliable, and consistent answers to customer queries.

Here’s how to make it work:

Create comprehensive content

Ensure your help center articles cover a wide range of customer questions in detail. This makes it easier for AI tools to pull relevant information and respond accurately.

Structure for machine readability

Organize your content with clear headings, bullet points, and simple language. Well-structured articles are easier for AI to parse and interpret.

Focus on consistency

Use uniform terminology across articles to prevent confusion and ensure AI tools can quickly identify relevant data.

Update regularly

Keep your knowledge base fresh by adding new FAQs, updating outdated content, and incorporating customer feedback. Up-to-date information ensures AI tools provide answers that align with your latest products, policies, and services.

Test AI performance

Periodically review how well your AI tools are using your help center content to address customer needs. Identify gaps in information and fine-tune articles as needed.

Dr. Bronner’s built their help center to power AI Agent, a conversational support assistant that answers both transactional and personalized customer inquiries in the same style as a human agent. Making this change helps the brand save $100,000 a year and decrease their resolution time by 74%.

Dr. Bronner's Help Center
Dr. Bronner’s Help Center is powered by Gorgias.

💡Pro Tip: Transform your help center into an AI training powerhouse with Gorgias’s help center AI optimization guide. This guide offers actionable tips for making your knowledge base AI-ready.

AI Agent interaction with a customer
Dr. Bronner’s AI Agent responded to a customer inquiring about their product and its compatibility with dyed hair.

By using your help center to power AI tools, you’ll improve customer self-service options and lighten the load on your support team. AI-enhanced support delivers faster resolutions, higher customer satisfaction, and a scalable approach to customer service.

Elevate your support strategy with a help center refresh

Refreshing your help center isn’t just about improving customer experience—it’s a game-changer for your entire support strategy. With tools like Gorgias’s Help Center, you can empower customers to self-serve while equipping your team with the resources they need to excel.

In 2025, make your help center the cornerstone of your support operations—and watch the results speak for themselves.

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AI Quality Assurance: The New Standard for Customer Support QA

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

TL;DR:

  • The landscape of QA is moving from manual to AI-powered, where AI can analyze every customer interaction, uncover patterns, and suggest data-driven changes at scale.
  • Automating QA allows ticket reviews to be routine. This means customers will always receive high-quality support.
  • Every customer interaction is reviewed with AI QA—not just a sample. This gives support leaders full visibility into performance and service quality.
  • AI QA saves time and improves agent and Gorgias AI Agent feedback. By automating ticket reviews, agents receive instant, unbiased feedback, and leaders can focus on big-picture CX improvements.

This year, 71% of customer experience (CX) leaders are using AI and automation to handle the holiday shopping season. These tools, including AI agents and email autoresponders, speed up tasks like responding to customers and updating orders.

But answering tickets isn't enough. Responses must also be high-quality, whether from humans or AI. And while customer satisfaction (CSAT) is the standard measure of how successful these interactions are, they have major limits.

CSAT scores don’t tell the full story about whether agents were helpful or if they used on-brand language. These gray areas in quality lead to missed sales, higher return rates, and frustrated customers during peak periods.

AI quality assurance (QA) is changing that. In this article, we’ll see what QA looks like today, how AI can simplify the process, and how CX teams can use tools like Auto QA to improve quality across all conversations.

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Traditional customer support QA is falling by the wayside

Today, QA in customer support is a largely manual responsibility. Customer conversations are reviewed by CX team leads to ensure customer satisfaction and identify areas for agent coaching. Team leads evaluate agent responses against a checklist of best practices, including the proper use of language, product knowledge, consistency, and helpfulness.

However, reviewing tickets takes a long time.

QA is important, but it's hard to prioritize when customers are actively waiting for help with refunds, urgent order edits, or negative reviews. And when CX teams are under-resourced and short-staffed, it’s easy to put QA on the back burner. 

What’s more, as AI plays a bigger role in responding to customers, quality assurance must evolve to ensure the quality of AI-generated responses, not just human responses. 

Over time, the lack of QA in CX can hold back support teams for three reasons:

  1. Delayed feedback makes it harder for agents and AI tools to improve.
  2. Leaders have less time to train agents and refine workflows.
  3. Inconsistent service risks losing customer trust and loyalty.

What is AI-powered QA in CX?

AI-powered quality assurance (QA) uses AI to automate the process of reviewing customer interactions for resolution completeness, communication, language proficiency, and more. 

Instead of team leads spending hours manually sifting through tickets, AI takes over and evaluates how well tickets were resolved by agents.

Shifting this traditionally manual work to an automated process pulls teams out of the weeds and into more beneficial work like speaking to customers and upselling.

Manual vs. AI-powered QA
Manual QA is prone to inconsistent checks and fewer tickets reviewed compared to AI-powered QA.

With AI QA, routine ticket reviews are not just an optional part of your customer service strategy, they become a permanent part of it. The road to greater customer trust, resolution times, and stronger product knowledge becomes easier.

Read more: Why your strategy needs customer service quality assurance

Why choose AI-powered QA over manual QA? 

Manual QA is like trying to review a handful of tickets during an incoming flood of new customer requests. Team leads can only focus on a small sample, leaving most interactions unchecked. Without complete visibility, creating a standard across all interactions is challenging.

Now, switch over to AI QA. You don’t have to choose between QA duty or answering tickets—QA checks are automatically done. You’ll still need to monitor AI’s performance, but now there’s more time to focus on creating strategies that improve the customer experience.

Here’s how AI QA and manual QA measure up to each other:

Feature

AI QA

Manual QA

Number of Tickets Reviewed

All tickets are reviewed automatically.

Only a small sample of tickets can be reviewed.

Speed of Reviews

Reviews are completed instantly after responses.

Reviews are time-consuming and delayed.

Consistency

Feedback is consistent and unbiased across all tickets.

Feedback varies depending on the reviewer.

Scalability

Scales, regardless of ticket volume.

Struggles to keep up with high ticket volumes.

Agent Feedback

Provides instant, actionable feedback for every resolved ticket.

Feedback is delayed and limited to a few cases.

Leader Advantage

Frees up leaders to train the team and improve workflows.

Disadvantageous, as leaders spend most time manually reviewing tickets.

7 benefits of using AI quality assurance in CX

AI quality assurance helps CX leaders move beyond manual reviews by offering fast, thorough insights into performance and customer needs. Here are seven key benefits it brings to your team.

1. Improved visibility into customer interactions

AI QA reviews every ticket, giving CX leaders a complete view of agent performance and customer trends. Nothing slips through the cracks, so you can act on real data each and every single time.

What the team wins: Key areas to focus on to improve the customer experience.

What the customer wins: A consistent support experience where their concerns are fully addressed.

2. Instantly identify major customer pain points

Only a third of customers highly trust businesses, and without QA checks in place, that trust only deteriorates.

AI QA feedback can highlight confusing policies or common product issues that lead to unhappy customers. With instant feedback, teams can quickly make changes and create better, consistent customer experiences.

What the team wins: Faster fixes for recurring issues.

What the customer wins: A smoother, frustration-free experience.

3. Faster identification of process gaps

Agents can receive feedback that instantly highlights gaps in workflows or unclear escalation steps. This is an efficient way to resolve issues within the wider team before they become more significant problems.

What the team wins: Process issues are solved quickly.

What the customer wins: Faster resolutions with little to no delays.

4. Standardized scoring for AI and human agents

AI QA evaluates both Gorgias AI Agent and human agent interactions using the same criteria. This creates a level playing field and ensures all customer interactions meet the same quality standards.

What the team wins: Fair evaluations for both AI and human responses.

What the customer wins: High-quality support, no matter who handles the ticket.

5. More time for coaching and training

With less time spent on manual reviews, leaders can dedicate more energy to team development. Training sessions guided by AI insights help agents improve quickly and ensure the team delivers support that aligns with protocols.

What the team wins: More focused skill-building based on data.

What the customer wins: Clearer and more accurate support.

6. Drives continuous knowledge for the entire team

AI QA is helpful for showing agents which areas they need more training on, whether it's being better about using brand voice or polishing up on product knowledge. This leads to better support processes and stronger product understanding across the team.

What the team wins: Better support tactics and product expertise.

What the customer wins: Faster resolutions due to knowledgeable agents.

7. Enhanced customer experience through consistently high-quality support

Since all tickets are reviewed, teams can feel confident they’re delivering high-quality support on a regular basis. Customers get clear, helpful answers, while agents gain insights from every ticket with AI feedback.

What the team wins: Consistent support performance.

What the customer wins: Reliable support they can trust.

How accurate is AI QA?

AI QA analyzes tickets using predefined categories to evaluate how complete and helpful agent responses are. Let’s take a closer look at how it maintains accurate ticket reviews with an AI QA tool like Gorgias’s Auto QA.

It measures multiple metrics

Auto QA evaluates tickets based on three key areas: Resolution Completeness, Communication, and Language Proficiency.

For Resolution Completeness, it checks if all customer concerns were fully addressed. For example, if an agent resolves only one of two issues raised, the ticket is marked incomplete. Tickets where customers resolve issues on their own or don’t respond to follow-ups can still be graded as complete if handled appropriately.

Communication quality is scored on a scale of 1 to 5, assessing clarity, professionalism, and tone. Agents earn higher scores when they provide clear solutions and remain positive throughout the interaction.

Finally, Language Proficiency evaluates whether an agent displayed high proficiency in the language of the conversation. The score considers how well spelling, grammar, and syntax were employed.

Auto QA in action
Gorgias’s Auto QA scores agent responses based on communication and completeness.

Teams can improve AI with their own feedback

Auto QA isn’t set in stone. Team leads can expand on AI-generated feedback by adding their comments. For example, if a resolution is graded as ‘Incomplete,’ a team lead can explain why and provide additional context. This helps clarify the evaluation for the agent and also helps the AI model improve over time.

How to get started with AI quality assurance using Auto QA

Ready to bring the benefits of AI QA to your team? Here’s how to get started with Auto QA:

  1. Audit your current QA process to identify gaps. How do you currently review tickets? Pinpoint areas where manual QA falls short, such as inconsistent feedback or missed interactions.
  2. Pilot Auto QA with a small team. Introduce Auto QA to a small group of agents to test its impact. This allows you to find out how the new QA process fits into your workflow and how it affects agent performance.
  3. Use AI insights to refine processes. Analyze the feedback Auto QA provides to identify process gaps or recurring issues. Use these insights to update your workflow, improve training, and address root causes of customer pain points.
  4. Gradually scale adoption across the team. Once the pilot is successful, roll out Auto QA to more agents. Make sure everyone is trained on how to use its insights and integrate the tool into daily operations.
  5. Monitor and provide feedback to improve AI accuracy. Review Auto QA’s evaluations to ensure accuracy. Add manual feedback as needed to fine-tune its scoring on future tickets.
  6. Measure the impact on performance and satisfaction. Track key metrics like ticket close rates, resolution times, and customer satisfaction scores. Use this data to understand how Auto QA transforms your QA process and drives better results.

Make high-quality responses a standard with Auto QA

AI QA isn’t just about automating ticket reviews — it empowers CX leaders to focus on what truly matters: training and improving processes.

Leave spot-checking and inconsistent application of policies and brand voice in the past. As a built-in feature of Gorgias Automate, Auto QA makes high-quality customer interactions your brand’s standard. 

Book a demo now.

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What to Do After Black Friday: A Guide to Post-BFCM Planning

By Tina Donati
min read.
0 min read . By Tina Donati

TL;DR:

  • Reflect quickly: Analyze customer service metrics like CSAT, FRT, and ticket volume immediately after BFCM to identify what worked and what didn’t.
  • Optimize self-service: Update FAQs and help centers to address gaps revealed in BFCM support inquiries.
  • Streamline operations: Audit staffing, inventory, and fulfillment to avoid bottlenecks in future peak seasons.
  • Turn insights into action: Use BFCM data to set measurable goals and implement quick wins for success next year.

Nailing customer support during BFCM is all about staying ahead of the game and making smart moves—fast. 

But the real key to success lies in what you do when the rush is over. Treating BFCM as a learning opportunity allows you to refine your customer experience (CX) and set yourself up for an even better performance next year.

Without a plan for what to do after Black Friday, it’s easy to repeat mistakes or overlook key trends that could make all the difference next year.

In this article, we’ll share a simple framework to help you evaluate your BFCM performance and turn insights into actionable steps for long-term CX improvement.

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Key areas to review post-BFCM 

It’s best to reflect on key areas like customer service, tech performance, customer behavior, and operations right after BFCM versus waiting until late next year. 

By taking a closer look now, you can spot what worked, fix what didn’t, and start applying those insights to other big sales events throughout the year—not just BFCM. 

A little effort now = a lot of payoff later!

1. Customer service metrics: Where did your team shine (or struggle)?

By analyzing key metrics, you can identify what worked, where your team excelled, and what areas need improvement to better prepare for future busy seasons. Key metrics include:

  • Customer Satisfaction (CSAT): Gauge how happy customers were with their interactions. Look for trends in both positive and negative feedback to pinpoint what delighted or frustrated customers.
  • First Response Time (FRT): Assess if your team met expectations for quick responses during peak periods.
  • Average Resolution Time (ART): Evaluate how efficiently issues were resolved and whether there were any bottlenecks.
  • Contact Rate: Examine whether there was a surge in inquiries, and uncover why.
  • Net Promoter Score (NPS): Determine how likely customers are to recommend your brand post-BFCM.
  • Ticket Volume: Review peak times and common customer issues. This insight can help forecast future support needs and ensure your team is adequately prepared for high-demand events.

Tools like Gorgias’s Ticket Insights can reveal which issues—like discounts, shipping policies, or damaged orders—dominated your support tickets.

View the top 10 ticket field values used during a selected period and their evolution over time.
Monitor your top trending tickets during a time period. 

For a more comprehensive view, Gorgias’s Support Performance dashboard shows how customer service influenced sales, including tickets converted, conversion ratios, and total revenue. These insights are invaluable for understanding the connection between support efficiency and revenue growth.

View the number of tickets replied to, messages sent, and more under Support Performance Statistics.
Gorgias shows you how productive your team was at responding to tickets.

Brands like Obvi, a leading supplement company, have leveraged Gorgias to enhance their support strategies.

Obvi serves a large number of shoppers seeking pre-sales guidance to choose the right supplements. By using Gorgias’s Flows and Article Recommendations, they provide instant, automated answers to frequently asked questions directly within Chat.

Here’s how it works:

  • Flows offer shoppers a menu of common queries about products and shipping, providing fast answers to top concerns.
  • For more specific questions, Article Recommendations scan Obvi’s Help Center articles and share the most relevant answer. For example:some text
    • How do I mix Obvi collagen?
    • Is Obvi vegan?
    • Can I take collagen while pregnant?
Obvi uses Gorgias Automate to display a chat widget on their website
Obvi uses Gorgias’s Flows to automatically answer FAQs.

To fine-tune their approach, Obvi uses data from their tickets to identify recurring customer questions. By analyzing the gaps between their initial FAQs and real customer inquiries, they adjusted their automated responses to better meet customer needs.

Obvi's chat can automatically send article recommendations to customers, no agent required
Article Recommendations allows Obvi to give customers the most relevant articles to their questions.
“We thought we knew what our FAQs were, but data from Gorgias was incredibly insightful to understand which FAQs to automate. That's one reason it's really valuable to have our Helpdesk tickets and automation features in one tool.”

—Ron Shah, CEO and Co-founder at Obvi

2. Technical performance: Did your tools hold up under pressure?

While marketing efforts often steal the spotlight, savvy brands know that backend systems are the unsung heroes of Black Friday and Cyber Monday. 

Start by auditing critical areas such as platform downtime, checkout errors, or slow response times. These issues not only frustrate shoppers but can also lead to lost revenue and customer loyalty during your busiest shopping days of the year.

Next, evaluate how well your tools were able to manage peak volumes. Did your helpdesk, CRM, and ecommerce platforms work seamlessly together, or were there gaps in your integrations?

If switching between platforms slowed your team down or caused data silos, consider streamlining your tech stack with an all-in-one CX solution.

For example, conversational AI platforms like Gorgias enable CX teams to consolidate support, sales, and automation into a single tool. Gorgias combines Helpdesk and AI Agent to resolve customer issues efficiently, while Convert supports upselling and increasing customer lifetime value.

A streamlined, integrated platform not only boosts efficiency but also helps your CX team focus on what matters most: delivering exceptional customer experiences.

3. Customer trends and behavior: What did your shoppers really want?

Start by reviewing product demand, buying patterns, and cart-building behaviors. Were there any unexpected customer needs or shifts in preferences? Identifying these trends can help you refine your inventory planning, marketing strategies, and product offerings.

For example, here’s a detailed breakdown of what to look for:

Product demand shifts

Use these insights to adjust inventory planning for future campaigns. Ensure you have sufficient stock of trending products and create promotional bundles for underperforming items.

  • Which products outperformed expectations? Were they planned bestsellers or surprise hits?
  • Did slow-moving products unexpectedly gain traction, or did top-sellers underperform?

Cart-building behaviors

Tailor future cart-building promotions to encourage higher Average Order Value (AOV). For instance, highlight complementary products or offer discounts on bundles.

  • Did customers prefer individual purchases, or did bundling promotions drive higher AOV?
  • Were there abandoned cart trends tied to specific products or price thresholds?

Unexpected customer needs

Incorporate these suggestions into your product development or cross-sell strategies. Highlight related products in future campaigns to meet these emerging needs.

  • Did reviews or support tickets indicate demand for features, colors, or sizes you didn’t offer?
  • Were there inquiries about add-on products or product pairing ideas?

Self-serve helpfulness

If you have an FAQ page or Help Center, evaluate how well it performed. Did customers find the information they needed, or did they still open tickets for common questions? 

Metrics like Article Views, Number of Searches, and Click-Through Rates can show how effectively your self-service resources meet customer needs. 

If customers contact support for information already in your Help Center, it may indicate unclear articles or poor visibility of resources. This means you should rewrite unclear articles, optimize search terms, and ensure Help Center links are prominently displayed across your website and emails.

4. Operational challenges: Where did the stress show up most?

BFCM is a stress test for your operations, and reflecting on how well your systems handled the surge can help you uncover critical areas for improvement. 

Staffing

Start by reviewing your staffing during peak periods. Did your customer service and warehouse teams feel overwhelmed, or were they adequately supported? 

Questions to Ask:

  • Were there enough team members to handle the workload?
  • Did customer service or warehouse teams experience burnout or delays?

Next Steps:

  • Plan staffing schedules around peak demand forecasts.
  • Cross-train employees to cover high-pressure roles, such as fulfillment or customer support.
  • Offer incentives, like performance bonuses, to encourage seasonal staff retention.

Preparing your team with a more flexible schedule and extra resources for high-demand areas can make all the difference.

Order fulfillment

If order fulfillment workflows slowed down or became error-prone, it may be time to optimize your processes.

Questions to Ask:

  • Were there delays in shipping or errors in packaging?
  • Did order accuracy or speed decline as volumes increased?

Next Steps:

  • Audit fulfillment workflows to identify slow or repetitive steps.
  • Invest in automation for picking, packing, and shipping processes.
  • Partner with a third-party logistics (3PL) provider if in-house capacity was overwhelmed.

Inventory management

Stockouts or overstock situations during BFCM can directly impact both sales and customer satisfaction.

Questions to Ask:

  • Did stockouts or overstock situations impact your Black Friday sales?
  • Was inventory tracking accurate during the busiest days?

Next Steps:

  • Implement real-time inventory tracking to reduce discrepancies.
  • Use demand planning software to improve forecasting for top-selling products.
  • Bundle slow-moving inventory with bestsellers in future holiday deals to avoid overstock.

Operational challenges often have a ripple effect on customer experience. By reflecting on these areas—staffing, fulfillment, and inventory—you can identify actionable improvements that streamline operations and create a smoother experience for both your team and your customers.

Building a CX improvement plan post-BFCM

Once you've reviewed the key areas of your BFCM performance, the next step is turning those insights into actionable strategies. Here’s how to build a CX improvement plan that sets you up for long-term success.

Step 1: Document lessons learned before they’re forgotten

Start by centralizing everything you’ve uncovered from your retro. 

Use collaborative tools like Notion, Google Docs, or Trello to organize insights across customer service, tech performance, and operations. 

And don’t just focus on observations—highlight actionable takeaways. For example, instead of noting “high contact rates,” document the underlying causes, like gaps in FAQs or unclear return policies.

If you’re feeling overwhelmed by the volume of data, let AI do the heavy lifting. Use prompts like these to quickly spot patterns:

  • “Analyze the common themes in this ticket data and summarize the top three trends.”
  • “Identify recurring customer complaints and suggest improvements to address them.”
  • “Provide recommendations to optimize self-service options based on this dataset.”

AI tools can save you time and ensure nothing slips through the cracks as you plan your next steps.

Step 2: Tackle your biggest support pain points

Analyzing challenges in your CX processes can reveal quick wins and long-term improvements. Here are a few common support pain points and how to address them:

High contact rates

A surge in customer inquiries often signals that self-service options aren’t meeting expectations.

Solution: Add or update tools like chat widgets, Help Centers, and post-purchase emails to proactively answer common questions.

Inconsistent response times

This usually points to workflow inefficiencies or a lack of team bandwidth.

Solution: Use automation to prioritize urgent tickets, deflect repetitive inquiries, and ensure smoother workflows.

Low CSAT scores

Frustration with slow resolutions or insufficient empathy often leads to poor satisfaction ratings.

Solution: Invest in empathy training and implement faster resolution strategies, like automating FAQs or integrating sentiment detection tools to flag unhappy customers.

AI escalation issues

While tools like Gorgias’s AI Agent can streamline support, improper setup can lead to automation loops that frustrate customers.

Solution: Define rules for when AI should escalate to a human, feed it more comprehensive data (like updated Help Center articles), and set boundaries for topics it shouldn’t handle.

Poor service snowball effect
Whether your support team is underwhelmed or overwhelmed, the end result is poor customer service.

For example, even with the efficiency provided by their Helpdesk, Obvi found Black Friday and Cyber Monday to be a hectic and stressful period for their small customer support team—just one full-time agent and half of another team member’s time. 

The influx of customer inquiries made it difficult to focus on more complex tickets that could save sales from unhappy customers or convert inquiries into purchases. Instead, their team was bogged down by thousands of repetitive questions, like Where is my order?

Automating answers to repetitive questions gave the Obvi team the room to focus on personalized and revenue-driving customer interactions, like engaging with their community of 75,000 women.

“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

The extra bandwidth helped Obvi drive over 3x the purchases from support conversations compared to previous years. AI Agent also enabled their team to reach inbox zero by 6 pm—during Black Friday week!

By automating 27% of their inquiries, they not only improved their response times but also handled over 150 tickets daily with just 1.5 agents, driving 10x more sales during BFCM

Step 3: Focus on quick wins that deliver big impact

Even the smallest changes can deliver a big impact. 

For example, update FAQs based on ticket trends or refine chat flows to reduce repetitive questions. Consolidating your CX tools into an omnichannel helpdesk like Gorgias can also reduce agent workload while delivering consistent customer experiences.

Repetitive inquiries—like shipping updates, return questions, or product FAQs—don’t need to consume your team’s time. Automating these workflows can significantly lighten your team’s load while keeping response times quick.

Gorgias users, for example, can automate up to 60% of support tickets with conversational AI tools like AI Agent, enabling teams to focus on higher-value interactions.

Quick wins aren’t just about streamlining support—they can also drive measurable results. 

For instance, Pajar, a footwear brand, leverages AI Agent to handle common inquiries in English and French. While this is a feature they use year-round, it’s handy during holiday shopping seasons when support teams are under pressure to respond quickly.

AI Agent is a conversational assistant that answers support tickets
AI Agent is a conversational AI assistant that can answer and resolve customer inquiries.

This freed up their small team of five agents to focus on complex tickets, achieving impressive results:

  • Resolved 45% of queries with automation, surpassing their 30% goal.
  • Reduced first response times to just 12 minutes.
  • Maintained high satisfaction scores by delivering timely, accurate responses.

With tools like AI Agent and Sentiment Detection, you can automate prioritization for tickets—such as flagging urgent issues or unhappy customers—while still maintaining a personal touch.

Step 4: Level up training and leverage your team’s tools

Peak season often highlights gaps in both team training and CX tools. Addressing these areas not only improves your team’s ability to handle high-pressure situations but also fosters a stronger customer-first mindset across your organization.

Start by leveraging the feedback you’ve collected. Your team has so much data they can review between channels like email, SMS, chat, and social media—both compliments and complaints. You need to be willing to listen to every customer’s needs.

At Love Wellness, customer feedback is treated as a daily priority. 

The team has a dedicated Slack channel for feedback, where team members regularly drop insights from all touchpoints. This collaborative approach helps them get familiar with recurring themes, dissect customer needs, and work together on solutions. 

Love Wellness shares feedback on their team Slack
Love Wellness made a customer feedback channel to highlight positive customer reviews.

The Love Wellness team recommends scheduling recurring feedback share sessions with Product or Website teams—or even inviting those teams into Gorgias to create dedicated views for feedback categories like product improvements or website issues.

Beyond tools and processes, training is crucial. Their team also emphasizes the importance of fostering a customer-first mindset at all levels:

Customer service is one of the main ways they build trust with customers, especially in the personal care and women’s health niche. That’s why the Love Wellness team created an immersive customer experience training program that involves everyone—from the company's president to its office manager.

This holistic approach ensures that every team member, regardless of their role, understands the company’s purpose and how their actions contribute to a seamless customer experience. 

Step 5: Prove the ROI of CX to get more resources

Your customer support team isn’t just there to clear tickets—it’s a key driver of revenue, retention, and customer lifetime value (CLV). Yet, too many teams measure success based solely on metrics like response and resolution times. While these are important, they’re only part of the story.

As Zoe Kahn, Manager of Customer Experience and Retention at Chomps, explains:

“Aiming for overly broad goals of ‘surprising and delighting’ customers without a real understanding of how support impacts the whole customer journey or business ROI is a common pitfall. Customer experience, largely driven by the support team, touches every stage of the journey—from pre-sales to post-sales—and directly influences more sales and loyalty.”

To demonstrate CX’s value, it’s crucial to track metrics that reflect your team’s true impact on the business. For example:

  • Customer Retention Rate (CRR): How well does your team retain customers over time?
  • CSAT Scores: Are your customers satisfied enough to return or recommend your brand?
  • Revenue From Support Conversations: How many sales are driven by proactive or reactive support interactions?

By focusing on these KPIs, you’ll incentivize your support team to go beyond answering questions and actively contribute to business goals. This could include suggesting products during conversations, encouraging happy customers to leave reviews, or proactively addressing issues that lead to churn.

Revenue Statistics
See how many customer support tickets turned into online sales with the Revenue Statistics dashboard.

Teams using Gorgias have even greater opportunities to prove ROI through tools like the Revenue Statistics dashboard, which tracks metrics like tickets converted into sales, conversion rates, and total revenue driven by support interactions.

“Without knowing how much money your customer experience (CX) drives, you’ll never fully understand your impact on the business or have the data needed to advocate for more resources from leadership.”

—Zoe Kahn, Chomps

Set smarter goals next year

The best way to close out your post-BFCM retro is by setting clear, measurable goals for next year. Use this year’s insights to create actionable targets that enhance your customer support and CX strategy:

  • Reduce ticket volume: Implement or improve self-service options like FAQs, chatbots, and Help Centers.
  • Decrease response and resolution times: Optimize workflows, invest in automation, or plan for better staffing during peak periods.
  • Boost CSAT: Address recurring customer pain points, streamline support processes, and train your team to deliver more empathetic, effective service.

Tools like Gorgias make it easier to turn these goals into reality. With powerful automation, integrated insights, and scalable support solutions, you can transform this year’s lessons into meaningful, lasting improvements.

Start planning now to make next year’s BFCM your smoothest—and most successful—yet!

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How We Keep Talent Density High and Impact Higher at Gorgias

By Adeline Bodemer
min read.
0 min read . By Adeline Bodemer

TL;DR:

  • High talent density means a team where every member is highly skilled and performs at their peak. This creates a positive ripple effect, where talented individuals enhance each other's effectiveness and drive overall success.
  • Gorgias maintains high talent density by following three pillars: hire great talent, part ways with non-performers, and nurture your talent pool.
  • Train managers to share 100% honest feedback with direct reports. Honest feedback, performance improvement plans, and fair severance ensure a respectful and constructive approach to managing team dynamics.
  • Measure talent density with key metrics. These include performance scores over time, cross-evaluation reviews, regrettable attrition rates, and transparent promotions to ensure fairness and improvement.

At Gorgias, we’ve embraced the concept of high talent density, introduced by Netflix co-founder and CEO Reed Hastings in No Rules Rules, as a foundation of how we operate. The idea is simple: a team is at its best when every member is highly skilled and performing at their peak.

I’ll walk you through exactly how we’ve built a workplace that prioritizes talent density by breaking down what the concept means, how it shapes our hiring process, and how we keep Gorgias a rewarding environment to grow in.

What is high talent density?

High talent density refers to having a team where each member is highly skilled and performs at their best. When a group consists of top performers, their collective effectiveness increases. Hastings notes, "Talented people make one another more effective."

For example, in a team of five exceptional employees, each individual's high performance elevates the group's overall success. If there is even one underperformer, a team's effectiveness decreases by 30 to 40 percent.

The three pillars of high talent density

We follow three pillars to maintain and grow high talent density. These pillars guide how we build and sustain a team of exceptional performers at Gorgias.

  1. Hire Great Talent: We look for people who excel in their roles today and show the potential to grow with the company in the future.
  2. Part Ways with Non-Performers: We prioritize honest feedback and offer support for improvement, but we’re not afraid to make changes when necessary.
  3. Nurture Your Talent Pool: We invest in our team’s development, ensuring everyone has the tools and opportunities to succeed as the company grows.

To bring this to life, we’ll use an analogy of colors to represent different types of performers in our talent pool:

Diagram of the 3 pillars of high talent density pillars
At Gorgias, our talent pool consists of great talents (dark green circles), performers (light green), underperformers (pink), and non-performers (red).

Let’s take a closer look at how we practice each of these pillars below.

Pillar #1: Hire great talents

Every manager wants to hire someone exceptional, but even with the best intentions, it doesn’t always work out.

To clarify, we’re looking for someone great to do the job now but has the potential to grow and stay strong as the company evolves. 

Here’s how we approach it.

Pay well (i.e. transparently and competitively)

Let’s be upfront: great talent often comes with a higher price tag. 

The first step in building high talent density is offering competitive pay. Exceptional people expect to be compensated for their contributions, and rightly so.

A single outstanding hire, even if paid 50% more than two average employees, often delivers far greater results. 

This is especially true in creative roles, where the impact of a single talent can be worth that of several others. It’s certainly not easy to prioritize compensation when resources are tight, but talented people are an investment — and talent is usually expensive.

Related: How we built an international SAAS salary calculator for our distributed team

Focus on sourcing, not just applicants

Great candidates don’t always come knocking on your door. The best talent is often already employed, not actively looking for a new role. 

To hire the best, we go beyond applications and invest heavily in proactive sourcing.

Use a structured recruiting playbook

At Gorgias, we rely on scorecards and standardized feedback forms to assess every applicant fairly and thoroughly. We also include role-specific assessments or assignments as part of the process. 

While some argue that take-home tasks are no longer standard, we’ve found them invaluable. A strong interview doesn’t always translate into strong performance, and these assignments often reveal critical insights into a candidate’s true capabilities.

Referrals are another piece of the puzzle. A-players tend to know and recommend other A-players. While leveraging referrals, we also keep a close eye on maintaining diversity to make sure everyone gets the same chance.

Pillar #2: Part ways with non-performers

Regularly assess your talent pool

Performance isn’t static. Someone who was a top performer last year might not meet expectations today, especially as the company grows and their role evolves.

To stay objective, we pair performance reviews with bi-yearly cross-evaluation talent reviews. Cross-evaluations provide a broader perspective, helping managers see beyond potential biases and assess whether a top talent has changed in performance quality.

These regular evaluations ensure we’re always aware of who is meeting expectations and who may need support or a more difficult conversation.

Enforce honest feedback with your managers

While Netflix's philosophy is to immediately separate with employees when they underperform, we believe in a more empathetic approach that follows our company’s core value of being 100% honest.

At Gorgias, we train managers to deliver clear, actionable feedback so team members always know where they stand and how they can improve. To us, honesty means being thoughtful, encouraging, and focused on helping people grow. 

We also use Performance Improvement Plans (PIPs) as a tool for growth. We don’t simply view them as compliance tools, but as opportunities for employees to get back on their feet. In fact, 50% of our PIPs result in team members regaining performance.

Provide fair and generous severance packages

Sometimes, despite feedback and coaching, parting ways becomes the best option for both the employee and company. When that happens, we believe in making the transition as respectful and fair as possible.

Offering a strong severance package not only supports employees during their transition but also empowers managers to make tough decisions confidently. It reflects our shared responsibility and ensures we treat people with dignity, even when their time with us comes to an end.

Pillar #3: Nurture your talent pool

Help talent grow alongside the company

When a company grows, employees need to match that pace to keep delivering at a high level. This requires consistent learning and development to meet the challenges of each new stage.

Growth doesn’t happen by accident. As Daniel Coyle explains in The Talent Code, greatness isn’t born; it’s grown through “deep practice.”

To encourage growth, Gorgias managers hold career conversations every six weeks, focusing on the “3Es”: education, exposure, and experience. These discussions identify growth areas, leverage networks, and clarify the steps team members can take to excel.

We also reward our top performers with opportunities beyond financial incentives. From double learning stipends to travel experiences and executive mentorships, these rewards keep our “dark green” talents motivated and engaged.

Read more: Why we don’t increase salaries based on performance

Cultivate a positive and collaborative environment

In the pursuit of high talent density, results are important, but so is maintaining a positive, team-oriented environment.

A top performer with a toxic attitude can harm the environment you’re working hard to build. For that reason, we hire and nurture people who align with our values, show respect for others, and contribute to a collaborative culture. Both the what (talented employees) and the how (exemplary behavior) matter. 

Implement pressure management programs

I believe this is one of the toughest topics when it comes to talent management.

Top performers are eager to work hard and prove their worth. Oftentimes, they approach work intensely and passionately. However, too much intensity can lead to exhaustion. And, of course, tired employees can’t deliver well.

That’s why managing pressure is crucial to maintaining high talent density. Introducing programs and initiatives that support the well-being of your employees helps prevent stress and burnout.

We take a tailored approach to prevent burnout, recognizing that one size doesn’t fit all. Having strong management training and great HRBPs (HR Business Partners) are the most impactful pieces. They help uncover the underlying issues of burnout: lack of vacation time, heavy workload, personal challenges, or misalignment.

Once the issues are clear, we provide the right tools to help. This could include coaching, training, enhanced benefits, or adjusted workloads.

How we measure, refine, and design our talent pool

We use specific metrics to gain insights into the effectiveness of our talent management strategies and refine our approach as needed.

Here are the metrics we track to evaluate talent density:

  1. Performance scores over time: We track average performance scores across the company (excluding new hires) to monitor overall talent density.
  2. Cross-evaluation reviews: Our biannual talent reviews include cross-evaluations, introducing variables like leadership, learning agility, and drive to ensure a holistic assessment.
  3. Regrettable attrition rate: We analyze turnover rates to identify potential issues and address them proactively.
  4. Transparent promotions: We’ve developed a promotion process that prioritizes fairness and merit. Managers must document and justify promotions, holding them accountable for consistency and equity.

By regularly tracking these metrics, we can see where we may be falling short — whether that’s being slow to part ways with low performers, struggling to attract great talent, or losing top performers unnecessarily.

Building strong organizational design

The ultimate goal of having strong talent density is to build a well-performing organization.

After each talent review, HRBPs will work hand in hand with managers to refine the organizational chart. They identify opportunities for improvement, such as promoting top talent, adjusting scopes of responsibility, or making changes to strengthen the team.

Ultimately, you should always make sure that your top performers are leading the most critical and top-priority initiatives.

Before prioritizing high talent density, your org may be keeping low performers. After following the three pillars of high talent density, your org will be saturated with top performers.

A personal note on the journey to high talent density

In my role as VP of People at Gorgias, I’ve seen how fast growth fuels the resources and opportunities needed to attract and develop exceptional talent. High performers thrive in environments with big goals and fast results, but it’s up to us to create the right conditions for them to succeed.

Sustaining high talent density takes dedication and humility. It means holding ourselves to high standards while being transparent. While we’ve made great strides, there’s always more to learn and refine.

As we continue this journey, let us remain humble, acknowledging that there is always room for growth and improvement.

How 10 Brands Transformed Customer Support Into Revenue in 2024

By Holly Stanley
min read.
0 min read . By Holly Stanley

TL;DR:

  • Support automation cuts resolution times and saves brands thousands. Dr. Bronner's and LSKD automated 40–45% of tickets, saving $100K annually and cutting resolution times to just over a minute.
  • Phone support is a profitable yet underutilized support channel. Obvi boosted revenue by $22K in 2 months using phone support alongside Gorgias for upselling and subscription retention.
  • Automating returns results in new sales and cost savings. Rumpl recouped $8K in return fees with automated returns, while Pajar resolved tickets in 12 minutes using bilingual AI support.
  • App integrations enhance the customer experience. Shopify, Aircall, and Loop Returns integrations helped brands like Jonas Paul Eyewear slash response times by 96% during peak seasons.

Scaling great customer support is often seen as a challenge, especially when ticket volumes climb and customer expectations rise. But for CX leads and executives, it’s essential to recognize that support isn’t just a cost center—it’s a profit driver. Exceptional customer support builds loyalty, drives repeat business, and creates upselling opportunities, directly boosting revenue.

That’s where Gorgias comes in. In this blog, we’ll show you how brands like Rumpl, TalentPop, Stylest, and Baby Gold have turned their support challenges into measurable wins with the power of automation and smart tools.

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1. Obvi boosted revenue by $22,000 in just 2 months with Gorgias and phone support

Obvi was leaving money on the table. Without phone support, they faced challenges like subscription drop-offs and missed upsell opportunities. Voice as a support channel wasn’t on their radar, so valuable revenue streams slipped through the cracks. Plus, they lacked a proactive strategy to retain subscriptions.

By integrating Gorgias’ omnichannel support tech, Obvi transformed their customer experience. They introduced a personalized, phone-based support system tailored to upselling and subscription retention, and partnered with Aventus’ Learning Management System (ALMS) to give their agents expert training.

The result? 

A customer support system that delivered exceptional service while boosting revenue.

Results achieved:

  • Saved 271 subscription orders, equalling $21,244 in revenue.
  • Achieved an average of 20+ upsells per week.
  • Enhanced customer satisfaction and retention through personalized interactions.

With Gorgias and phone support, Obvi unlocked the potential of voice to grow their business and deepen customer loyalty.

2. Jonas Paul Eyewear slashed response times by 96% with AI Agent

During peak seasons like back-to-school, Jonas Paul Eyewear struggled to keep up with the sheer volume of customer inquiries. The small customer care team was overwhelmed with repetitive questions, leading to slower response times and increased stress. They needed an efficient solution to handle the increased load while maintaining excellent service.

By partnering with Gorgias, Jonas Paul Eyewear transformed their customer service operations. AI Agent automated responses to common queries like prescription details and return policies, freeing up their team to focus on more complex issues. 

An integration with Aircall allowed agents to handle phone calls directly within Gorgias, with access to customer interaction history and Shopify data. A Klaviyo integration streamlined inquiries related to home try-on kits and orders. Together, these tools created a customer-focused experience.

Results achieved:

  • Despite a 28% increase in tickets, the team reduced first response time by 96%.
  • AI Agent influenced $600 in sales in a single month, nearly doubling its $360/month cost.
  • Automated over 30% of support volume, eliminating the need for temporary staff during busy periods.
"With faster responses and more proactive support through AI, we are seeing happier customers, which obviously translates into more retention and more brand loyalty. Overall with the improvement in first response time, we've really seen an uptick in customer satisfaction and less of an escalation in tickets."

—Lynsay Schrader, Lab and Customer Service Senior Manager at Jonas Paul Eyewear

3. Dr. Bronner’s saved $100K annually by automating 45% of customer interactions

As Dr. Bronner's business grew, so did their customer support challenges. The limitations of their previous system, Salesforce, made it difficult for their small customer experience (CX) team to handle increasing inquiries, especially repetitive questions. As a result, customers experienced longer response times, and the brand needed a more effective solution.

By switching to Gorgias, Dr. Bronner's transformed their customer support operations. They implemented AI Agent to automate routine inquiries, allowing their team to focus on more complex, personalized interactions.

The addition of a comprehensive Help Center empowered customers to find answers independently. At the same time, integrations with Shopify, Aircall, and Loop Returns streamlined the management of orders, returns, and voice communications — all within a single platform.

Results achieved:

  • Saved $100,000 annually by replacing Salesforce, reducing licensing and development costs.
  • Automated over 45% of customer interactions within two months.
  • Increased customer satisfaction scores by 11% through faster responses and personalized service.
  • Reduced resolution time by 74%, enabling the team to address inquiries more effectively.
Dr. Bronner's help center
Dr. Bronner's Help Center
"Our CX team is small, which is why leaning into automation was so crucial for us. We were really at a turning point at the beginning of the year, and we knew that we had to make a change. We had to make our tools work for us, not against us. Gorgias was a huge opportunity, and we decided to jump in head first. Within the first 30 days, we were able to automate 30% of customer interactions and are now up to 45%."

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

4. Pajar automated 45% of tickets to cut response times from days to minutes

Peak seasons like winter, Black Friday, and Cyber Monday brought immense pressure to Pajar’s small customer service team of five agents. With high ticket volumes and a bilingual customer base (English and French), maintaining quick response times and delivering excellent service became a major challenge. They needed a solution to streamline operations and keep their customers happy.

Partnering with Gorgias proved to be a game-changer. Pajar implemented AI Agent to handle common inquiries in both English and French, freeing their team to focus on complex tickets. Automation reduced repetitive tasks, improving team efficiency, while Gorgias’ 30-in-30 onboarding program helped them quickly hit their automation goals.

Results achieved:

  • Surpassed their 30% goal by fully resolving 45% of queries with automation.
  • Achieved a first response time of just 12 minutes and 15 seconds, and a resolution time of 1 day and 20 hours.
  • Maintained high satisfaction scores by delivering timely, accurate responses in English and French.
Pajar uses Gorgias Automate to automate frequently asked questions on their website
Pajar uses Gorgias AI Agent to automate answers to their most commonly asked questions.
"We were nervous to get started at first, but as soon as we had the implementation call it was a huge weight off of our shoulders — we knew it was going to be great. And we were right. The first day we turned it on, we started seeing results right away."

—Noémie Rousseau, Customer Service Manager at Pajar

5. LSKD tripled email automation and boosted customer satisfaction with AI Agent

LSKD, a popular Australian activewear brand, struggled to keep up with a high volume of customer inquiries during peak periods. Their previous system couldn’t handle repetitive queries efficiently, leading to slower response times and an overburdened support team. To maintain their commitment to excellent customer service, they needed a smarter solution.

Gorgias delivered. By implementing AI Agent, LSKD automated responses to common questions, enabling their team to focus on complex, high-value interactions. Automation streamlined workflows, reducing manual tasks, while integration with Shopify provided instant access to customer order data. LSKD could respond faster and more accurately, improving the overall customer experience.

Results achieved:

  • Automated 40% of tickets overall with Gorgias AI Agent.
  • Reduced first response time from 1 day 2 hours to 1 minute and 2 seconds.
  • Reduced resolution time from 1 day 19 hours to 1 minute and 8 seconds.
How LSKD tripled email automation rate with AI Agent
LSKD tripled their email automation rate by using AI Agent.
"Gorgias AI Agent is going to be a game-changer for us during BFCM. With the ability to provide immediate, personalized responses, we’re confident it will not only reduce the volume of repetitive inquiries but also ensure our community feels supported during the busiest time of the year.”

—Kailey Burton, Community Experience Head Coach at LSKD 

6. Baby Gold automated 20% of emails and cut resolution time down to 1 minute 4 seconds

Baby Gold, a jewelry brand known for its personalized pieces, faced growing challenges in meeting customer demands for quick and efficient support. Their existing customer service system lacked the automation needed to manage repetitive inquiries, leading to slower response times and an increased workload for their team. 

They needed a solution to improve efficiency and meet customer expectations for rapid assistance.

AI Agent autonomously resolved customer email tickets by learning the brand’s unique policies and voice while automation reduced manual tasks. Easy integration with their existing systems provided agents with instant access to customer data, enabling quicker, more accurate responses and improving overall efficiency.

Results achieved:

  • Achieved a 20% email automation rate after joining the AI Agent Beta program.
  • Reached a first response time of 49 seconds and a resolution time of 1 minute and 4 seconds.
  • Answered 1,361 tickets within two weeks.
"I feel that nowadays, people expect quick responses and rapid assistance. AI and tools such as AI Agent are perfect to meet these expectations."

—Sindi Melgar, Customer Service Manager at Baby Gold

7. Psycho Bunny answers tickets 10x faster with AI Agent

Psycho Bunny, a bold menswear brand known for its edgy take on classic styles, faced a challenge: how to maintain a stellar customer experience while scaling their multi-million dollar business. With a focus on improving key performance indicators (KPIs) and customer satisfaction (CSAT), they needed a solution to boost efficiency without adding to their customer support team’s workload.

Psycho Bunny implemented AI Agent to handle routine customer inquiries, such as order status, returns, and exchanges, freeing up human agents to focus on more complex, high-value interactions. 

With automation managing 26% of tickets and integration with existing systems, Gorgias provided the tools to streamline operations and deliver exceptional service, all from one unified platform.

Results achieved:

  • Resolved 26% of customer tickets through AI Agent.
  • Reduced first response time by 99.8% and resolution time by 99.4%.
  • Queries are answered 10x faster than the team average thanks to AI Agent, with a 4.67 CSAT score.
"I already love Gorgias because its email and chat capabilities are ahead of the competition, so I trust Gorgias to also build the best AI agent. And having all our CX tools within the same system is important—I don’t want yet another dashboard to check."

—Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny

8. Stylest achieved a 35.56% conversion rate with Gorgias Convert

Stylest, a swimwear brand, set its sights on a big goal: to boost visitor engagement and convert more casual browsers into loyal customers. They wanted to increase sales and highlight their best-selling styles while providing an enjoyable shopping experience.

To achieve this, Stylest partnered with ECOM DEPARTMENT and implemented Gorgias Convert, an onsite marketing tool designed to optimize customer interactions and drive conversions. With Convert, they launched targeted campaigns that effectively guided visitors toward completing their purchases without disrupting the shopping experience.

Results achieved:

  • Achieved an impressive 35.56% conversion rate through exit intent campaigns.
  • Campaigns contributed to a 20% lift in Average Order Value (AOV) revenue.
  • Over 90 days, campaigns influenced 3% of total revenue, with a peak impact of 18%.

9. TalentPop expanded its customer base by 410 clients through a strategic partnership with Gorgias

TalentPop, a customer service management agency serving ecommerce brands, set out to expand its client base and elevate its service offerings. To achieve these goals, they needed a partner that could align with their go-to-market strategies, provide innovative tools, and help attract new business.

TalentPop tapped into Gorgias’s robust platform and co-selling initiatives to acquire mutual customers.

They received tailored guidance to plan forward-thinking strategies, looking 1–2 years ahead, while maintaining a high standard of service delivery. Access to essential tools and operational support allowed TalentPop to streamline processes, boost efficiency, and increase revenue from customer support services.

Results achieved:

  • Acquired 410 mutual customers through effective co-selling efforts.
  • Perfectly aligned go-to-market strategies with Gorgias, critical for winning key accounts.
  • Helped their client Silky Gem to automate 40% of 5,000 monthly tickets.
"Gorgias has been instrumental in TalentPop’s growth from the start of our partnership. They have provided key prospect opportunities, supported us in winning accounts, and invested in TalentPop by bringing on best-in-class customer service agents to support their teams."

—Olivia Parker, Senior Partnerships Manager at TalentPop

10. Rumpl recouped $8,000 in return fees and achieved 4.89 CSAT

Rumpl’s manual, 3PL-dependent returns process was time-consuming and inefficient, with resolutions taking 2–3 weeks. A reliance on shared Excel sheets created operational bottlenecks during busy periods and frustrated customers.

By integrating Loop Returns with Gorgias, Rumpl automated and streamlined their returns process. Customers could manage returns and exchanges via an automated portal in the Gorgias chat widget. Self-service tools and automated communications reduced manual workloads, while centralized support within Gorgias improved efficiency and visibility.

Results achieved:

  • Cut first resolution time by 39% with automation.
  • Recouped $8,000 in return fees by converting 31.4% of returned revenue into exchanges or store credit.
  • Boosted CSAT to 4.89 by delivering quicker, more efficient service.
"The Gorgias/Loop integration has been really useful for us. Being able to view return info in Gorgias, then open that return in Loop with one click, makes it super easy to navigate and resolve any issues the customer might have."

—Jacob Cantu, Senior Customer & People Experience Manager at Rumpl

Turn customer support into your brand’s growth engine

Great customer support goes beyond answering questions. It involves building trust, driving loyalty, and turning everyday interactions into opportunities for growth. From streamlining returns to automating repetitive tasks, brands like Rumpl, TalentPop, Stylest, and Baby Gold show how the right tools can transform support into a revenue-driving powerhouse. 

With Gorgias, you can work smarter, resolve issues faster, and create exceptional experiences that keep your customers coming back.

Want to see how Gorgias can help you scale your support and grow your business? Book a demo today and discover the tools that will take your customer experience to the next level.

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AI Tone of Voice: Tips for On-Brand Customer Communication

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

TL;DR:

  • Tone of voice builds trust. A consistent tone of voice helps create personal connections with customers and builds trust in your brand, even when using AI.
  • Analyze your brand's personality to find your tone. Review customer conversations, website copy, and marketing materials.
  • AI can mimic brand voice by learning your data. This data includes your brand’s help docs, internal guidebooks, macros, and brand guidelines.
  • Keeping AI on-brand requires regular training. Audit your brand voice, set guidance, and monitor responses to keep your AI accurate.

Tone of voice—and a strong brand personality—have become essential components of exceptional customer service. 

As many brands introduce AI to automate customer service interactions, the challenge of ensuring that AI is helpful looms. Part of that helpfulness means speaking to customers in a way that connects with them, not alienates them.

That’s why implementing AI that uses your brand’s signature tone of voice has never been so important.

This post will explore why tone of voice matters in customer service and provide insights on how AI can effectively replicate brand voice, with tips on implementing it successfully. 

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Why tone of voice matters in customer service

Through a customer service lens, tone of voice is the style, word choice, and general vibe of how your brand speaks when it communicates with customers. Tone of voice is one of the key components of brand identity, so the tone of voice a support team uses will always align with its greater brand.

According to Statista, 64% of customers prefer making purchases from companies that create experiences tailored to their needs and wants. A consistent tone of voice does just that, building trust, creating better relationships between customers and brands, and making experiences more personal.

On the flip side, brands that don’t prioritize tone of voice — especially when it comes to AI — will see robotic tones cause a loss of customer trust. 

How AI effectively replicates brand voice

51% of customers share concerns that brands that use AI won’t connect them to a human. But if you choose the right AI tools that leverage your brand’s information and use it effectively, you can train it to mimic your unique voice — sometimes to the point where customers don’t even know that it’s the AI talking.

That’s true for the CX team at toddler carrier brand Wildride

”An influencer emailed us saying, 'I really love you guys,' and our AI Agent replied, 'Love you too,' with heart emojis, which was really funny. It was just like an email from me and my other team members,” says Amber van den Berg, their Head of Customer Experience. 

Wildride trusts Gorgias AI Agent to manage a high volume of tickets while still providing each customer with a great experience.  

📚 Further reading: How Wildride automated 33% of email tickets with AI Agent 

AI Agent uses a few key components to mimic tone of voice, including LLMs (Large Language Models) to form human-like responses, guidance from you, and the internal resources you provide it. 

“We’ve had customers respond to AI Agent thinking they were speaking to a real person. That’s how elevated the response was from AI,” says Emily McEnany, Senior CX Manager at Dr. Bronner’s

Brand voice: Friendly

4 tips for successfully infusing AI with your brand’s tone of voice

You can absolutely train AI to match your brand's specific voice and style. Here are a couple of tips that will help you be successful: 

  • Audit your brand’s existing voice and tone
  • Set up guidance
  • Monitor responses and give feedback
  • Keep up with regular training

1. Audit your brand’s existing voice and tone 

If your brand has an established voice and tone, make sure that you either have internal documents that detail it or can describe it accurately in a couple of paragraphs. 

You’ll use that information to help train the AI, so it’s essential that it’s up-to-date and accurate. 

If you don’t have an established tone, now is a great time to generate your brand voice. Review customer conversations and the copy on your website. Chat with your marketing team and even your brand’s founder to get a clear picture of what it is or what you’d like it to be. 

Here’s a quick-start guide for how to find your tone of voice: 

  1. Think about the brands you want to be similar to and pick two. 
  2. Now, take a look at those brands’ websites. Make a list of what you love — it could be the way these brands speak to customers, leverage active verbs, write their product descriptions, or how they talk on social media. 
  3. Now that you have your list, circle the things that feel most relative to your brand. 
  4. Can you put an overarching “vibe” to this list? For example, you might choose a word like friendly, sophisticated, or fun.  
  5. Then, fill in this sentence: “We are (Your Brand) and our tone of voice is (the vibe word you chose). 
  6. Now, see if you can expand on that a little more, with some thoughts about how you might interact with your target audience or write about your products.

2. Set up guidance

Most AI-powered tools will allow you to set up some sort of guidance around how they interact with customers. If you use Gorgias AI Agent, you’ll be able to set specific tone of voice parameters. Choose from three pre-built options—Friendly, Professional, Sophisticated—or Custom to give it your own instructions.

For example, jewelry brand Baby Gold uses an upbeat, friendly, warm, and personable tone. They would likely choose the Friendly option, which is the go-to option for many teams. 

“Sometimes agents forget personal details to call out when communicating with our customers, like birthdays or weddings,” says Sindi Melgar, their Customer Service Manager.  

“But I noticed on a few different occasions where the AI Agent is highlighting these things and is saying, congratulations on your wedding! Just the tone of voice that Michelle is able to adopt is definitely on brand for us.”

If you’re looking to provide your own specific guidelines, create custom guidance like Wildride did below: 

Choose a custom tone of voice for Gorgias's AI Agent

📚 Recommended reading: How to customize AI Agent with 7 brand voice examples

3. Monitor responses and give feedback

In general, you should always keep an eye on how your AI tool is answering questions to ensure that it’s providing accurate responses and that your customers aren’t getting frustrated. Combing through responses manually can be overwhelming, so that’s why Gorgias offers an AI Feedback feature. 

In the ticket sidebar you’ll find a summary of the response AI Agent provided, including why it responded the way it did and the resource it pulled the response from. 

Mark a response as correct or incorrect with AI Agent

Then, give feedback by using the 👍 or 👎 icons to mark AI Agent’s response as correct or incorrect. AI Agent uses this feedback to improve responses over time.

📚 Recommended reading: How to coach AI Agent and give feedback

4. Keep up with regular training

Any time you add new policies or update existing ones, make sure you add them to your helpdocs and Macros, which are the main resources the AI is going to draw from. 

The more consistently you can go in and provide the AI direct feedback on each response, the more easily AI will nail your unique tone. 

Create on-brand responses with AI 

Your brand’s tone of voice makes a huge impact on the relationships you build with customers. Combining your unique brand voice with AI means you’ll provide more personalized responses and resolve customer issues faster. 

“We were hesitant at first, but AI Agent has really picked up on our brand’s voice,” says Lynsay Schrader, Lab and Customer Service Senior Manager at Jonas Paul Eyewear. “We’ve had feedback from customers who didn’t even realize they were talking to an AI.” 

Gorgias AI Agent is the go-to tool for AI-driven customer support that aligns with brand tone.

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