

TL;DR:
Customer education has become a critical factor in converting browsers into buyers. For wellness brands like Cornbread Hemp, where customers need to understand ingredients, dosages, and benefits before making a purchase, education has a direct impact on sales. The challenge is scaling personalized education when support teams are stretched thin, especially during peak sales periods.
Katherine Goodman, Senior Director of Customer Experience, and Stacy Williams, Senior Customer Experience Manager, explain how implementing Gorgias's AI Shopping Assistant transformed their customer education strategy into a conversion powerhouse.
In our second AI in CX episode, we dive into how Cornbread achieved a 30% conversion rate during BFCM, saving their CX team over four days of manual work.
Before diving into tactics, understanding why education matters in the wellness space helps contextualize this approach.
Katherine, Senior Director of Customer Experience at Cornbread Hemp, explains:
"Wellness is a very saturated market right now. Getting to the nitty-gritty and getting to the bottom of what our product actually does for people, making sure they're educated on the differences between products to feel comfortable with what they're putting in their body."
The most common pre-purchase questions Cornbread receives center around three areas: ingredients, dosages, and specific benefits. Customers want to know which product will help with their particular symptoms. They need reassurance that they're making the right choice.
What makes this challenging: These questions require nuanced, personalized responses that consider the customer's specific needs and concerns. Traditionally, this meant every customer had to speak with a human agent, creating a bottleneck that slowed conversions and overwhelmed support teams during peak periods.
Stacy, Senior Customer Experience Manager at Cornbread, identified the game-changing impact of Shopping Assistant:
"It's had a major impact, especially during non-operating hours. Shopping Assistant is able to answer questions when our CX agents aren't available, so it continues the customer order process."
A customer lands on your site at 11 PM, has questions about dosage or ingredients, and instead of abandoning their cart or waiting until morning for a response, they get immediate, accurate answers that move them toward purchase.
The real impact happens in how the tool anticipates customer needs. Cornbread uses suggested product questions that pop up as customers browse product pages. Stacy notes:
"Most of our Shopping Assistant engagement comes from those suggested product features. It almost anticipates what the customer is asking or needing to know."
Actionable takeaway: Don't wait for customers to ask questions. Surface the most common concerns proactively. When you anticipate hesitation and address it immediately, you remove friction from the buying journey.
One of the biggest myths about AI is that implementation is complicated. Stacy explains how Cornbread’s rollout was a straightforward three-step process: audit your knowledge base, flip the switch, then optimize.
"It was literally the flip of a switch and just making sure that our data and information in Gorgias was up to date and accurate."
Here's Cornbread’s three-phase approach:
Actionable takeaway: Block out time for that initial knowledge base audit. Then commit to regular check-ins because your business evolves, and your AI should evolve with it.
Read more: AI in CX Webinar Recap: Turning AI Implementation into Team Alignment
Here's something most brands miss: the way you write your knowledge base articles directly impacts conversion rates.
Before BFCM, Stacy reviewed all of Cornbread's Guidance and rephrased the language to make it easier for AI Agent to understand.
"The language in the Guidance had to be simple, concise, very straightforward so that Shopping Assistant could deliver that information without being confused or getting too complicated," Stacy explains. When your AI can quickly parse and deliver information, customers get faster, more accurate answers. And faster answers mean more conversions.
Katherine adds another crucial element: tone consistency.
"We treat AI as another team member. Making sure that the tone and the language that AI used were very similar to the tone and the language that our human agents use was crucial in creating and maintaining a customer relationship."
As a result, customers often don't realize they're talking to AI. Some even leave reviews saying they loved chatting with "Ally" (Cornbread's AI agent name), not realizing Ally isn't human.
Actionable takeaway: Review your knowledge base with fresh eyes. Can you simplify without losing meaning? Does it sound like your brand? Would a customer be satisfied with this interaction? If not, time for a rewrite.
Read more: How to Write Guidance with the “When, If, Then” Framework
The real test of any CX strategy is how it performs under pressure. For Cornbread, Black Friday Cyber Monday 2025 proved that their conversational commerce strategy wasn't just working, it was thriving.
Over the peak season, Cornbread saw:
Katherine breaks down what made the difference:
"Shopping Assistant popping up, answering those questions with the correct promo information helps customers get from point A to point B before the deal ends."
During high-stakes sales events, customers are in a hurry. They're comparing options, checking out competitors, and making quick decisions. If you can't answer their questions immediately, they're gone. Shopping Assistant kept customers engaged and moving toward purchase, even when human agents were swamped.
Actionable takeaway: Peak periods require a fail-safe CX strategy. The brands that win are the ones that prepare their AI tools in advance.
One of the most transformative impacts of conversational commerce goes beyond conversion rates. What your team can do with their newfound bandwidth matters just as much.
With AI handling straightforward inquiries, Cornbread's CX team has evolved into a strategic problem-solving team. They've expanded into social media support, provided real-time service during a retail pop-up, and have time for the high-value interactions that actually build customer relationships.
Katherine describes phone calls as their highest value touchpoint, where agents can build genuine relationships with customers. “We have an older demographic, especially with CBD. We received a lot of customer calls requesting orders and asking questions. And sometimes we end up just yapping,” Katherine shares. “I was yapping with a customer last week, and we'd been on the call for about 15 minutes. This really helps build those long-term relationships that keep customers coming back."
That's the kind of experience that builds loyalty, and becomes possible only when your team isn't stuck answering repetitive tickets.
Stacy adds that agents now focus on "higher-level tickets or customer issues that they need to resolve. AI handles straightforward things, and our agents now really are more engaged in more complicated, higher-level resolutions."
Actionable takeaway: Stop thinking about AI only as a cost-cutting tool and start seeing it as an impact multiplier. The goal is to free your team to work on conversations that actually move the needle on customer lifetime value.
Cornbread isn't resting on their BFCM success. They're already optimizing for January, traditionally the biggest month for wellness brands as customers commit to New Year's resolutions.
Their focus areas include optimizing their product quiz to provide better data to both AI and human agents, educating customers on realistic expectations with CBD use, and using Shopping Assistant to spotlight new products launching in Q1.
The brands winning at conversational commerce aren't the ones with the biggest budgets or the largest teams. They're the ones who understand that customer education drives conversions, and they've built systems to deliver that education at scale.
Cornbread Hemp's success comes down to three core principles: investing time upfront to train AI properly, maintaining consistent optimization, and treating AI as a team member that deserves the same attention to tone and quality as human agents.
As Katherine puts it:
"The more time that you put into training and optimizing AI, the less time you're going to have to babysit it later. Then, it's actually going to give your customers that really amazing experience."
Watch the replay of the whole conversation with Katherine and Stacy to learn how Gorgias’s Shopping Assistant helps them turn browsers into buyers.
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TL;DR:
Rising customer expectations, shoppers willing to pay a premium for convenience, and a growing lack of trust in social media channels to make purchase decisions are making it more challenging to turn a profit.
In this emerging era, AI’s role is becoming not only more pronounced, but a necessity for brands who want to stay ahead. Tools like Gorgias Shopping Assistant can help drive measurable revenue while reducing support costs.
For example, a brand that specializes in premium outdoor apparel implemented Shopping Assistant and saw a 2.25% uplift in GMV and 29% uplift in average order volume (AOV).
But how, among competing priorities and expenses, do you convince leadership to implement it? We’ll show you.
Shoppers want on-demand help in real time that’s personalized across devices.
Shopping Assistant recalls a shopper’s browsing history, like what they have clicked, viewed, and added to their cart. This allows it to make more relevant suggestions that feel personal to each customer.
The AI ecommerce tools market was valued at $7.25 billion in 2024 and is expected to reach $21.55 billion by 2030.
Your competitors are using conversational AI to support, sell, and retain. Shopping Assistant satisfies that need, providing upsells and recommendations rooted in real shopper behavior.
Conversational AI has real revenue implications, impacting customer retention, average order value (AOV), conversion rates, and gross market value (GMV).
For example, a leading nutrition brand saw a GMV uplift of over 1%, an increase in AOV of over 16%, and a chat conversion rate of over 15% after implementing Shopping Assistant.
Overall, Shopping Assistant drives higher engagement and more revenue per visitor, sometimes surpassing 50% and 20%, respectively.

Shopping Assistant engages, personalizes, recommends, and converts. It provides proactive recommendations, smart upsells, dynamic discounts, and is highly personalized, all helping to guide shoppers to checkout.
After implementing Shopping Assistant, leading ecommerce brands saw real results:
Industry |
Primary Use Case |
GMV Uplift (%) |
AOV Uplift (%) |
Chat CVR (%) |
|---|---|---|---|---|
Home & interior decor 🖼️ |
Help shoppers coordinate furniture with existing pieces and color schemes. |
+1.17 |
+97.15 |
10.30 |
Outdoor apparel 🎿 |
In-depth explanations of technical features and confidence when purchasing premium, performance-driven products. |
+2.25 |
+29.41 |
6.88 |
Nutrition 🍎 |
Personalized guidance on supplement selection based on age, goals, and optimal timing. |
+1.09 |
+16.40 |
15.15 |
Health & wellness 💊 |
Comparing similar products and understanding functional differences to choose the best option. |
+1.08 |
+11.27 |
8.55 |
Home furnishings 🛋️ |
Help choose furniture sizes and styles appropriate for children and safety needs. |
+12.26 |
+10.19 |
1.12 |
Stuffed toys 🧸 |
Clear care instructions and support finding replacements after accidental product damage. |
+4.43 |
+9.87 |
3.62 |
Face & body care 💆♀️ |
Assistance finding the correct shade online, especially when previously purchased products are no longer available. |
+6.55 |
+1.02 |
5.29 |
Shopping Assistant drives uplift in chat conversion rate and makes successful upsell recommendations.
“It’s been awesome to see Shopping Assistant guide customers through our technical product range without any human input. It’s a much smoother journey for the shopper,” says Nathan Larner, Customer Experience Advisor for Arc’teryx.
For Arc’teryx, that smoother customer journey translated into sales. The brand saw a 75% increase in conversion rate (from 4% to 7%) and 3.7% of overall revenue influenced by Shopping Assistant.

Because it follows shoppers’ live journey during each session on your website, Shopping Assistant catches shoppers in the moment. It answers questions or concerns that might normally halt a purchase, gets strategic with discounting (based on rules you set), and upsells.
The overall ROI can be significant. For example, bareMinerals saw an 8.83x return on investment.
"The real-time Shopify integration was essential as we needed to ensure that product recommendations were relevant and displayed accurate inventory,” says Katia Komar, Sr. Manager of Ecommerce and Customer Service Operations, UK at bareMinerals.
“Avoiding customer frustration from out-of-stock recommendations was non-negotiable, especially in beauty, where shade availability is crucial to customer trust and satisfaction. This approach has led to increased CSAT on AI converted tickets."

Shopping Assistant can impact CSAT scores, response times, resolution rates, AOV, and GMV.
For Caitlyn Minimalist, those metrics were an 11.3% uplift in AOV, an 18% click through rate for product recommendations, and a 50% sales lift versus human-only chats.
"Shopping Assistant has become an intuitive extension of our team, offering product guidance that feels personal and intentional,” says Anthony Ponce, its Head of Customer Experience.

Support agents have limited time to assist customers as it is, so taking advantage of sales opportunities can be difficult. Shopping Assistant takes over that role, removing obstacles for purchase or clearing up the right choice among a stacked product catalog.
With a product that’s not yet mainstream in the US, TUSHY leverages Shopping Assistant for product education and clarification.
"Shopping Assistant has been a game-changer for our team, especially with the launch of our latest bidet models,” says Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY.
“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.”
The bidet brand saw 13x return on investment after implementation, a 15% increase in chat conversion rate, and a 2x higher conversion rate for AI conversations versus human ones.

Customer support metrics include:
Revenue metrics to track include:
Shopping Assistant connects to your ecommerce platform (like Shopify), and streamlines information between your helpdesk and order data. It’s also trained on your catalog and support history.
Allow your agents to focus on support and sell more by tackling questions that are getting in the way of sales.
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TL;DR:
Most shoppers arrive with questions. Is this the right size? Will this match my skin tone? What’s the difference between these models? The faster you can guide them, the faster they decide.
As CX teams take on a bigger role in driving revenue, these moments of hesitation are now some of the most important parts of the buying journey.
That’s why more brands are leaning on conversational AI to support these high-intent questions and remove the friction that slows shoppers down. The impact speaks for itself. Brands can expect higher AOV, stronger chat conversion rates, and smoother paths to purchase, all without adding extra work to your team.
Below, we’re sharing real use cases from 11 ecommerce brands across beauty, apparel, home, body care, and more, along with the exact results they saw after introducing guided shopping experiences.
When you’re shopping for shoes similar to an old but discontinued favorite, every detail counts, down to the color of the bottom of the shoe. But legacy brands with large catalogs can be overwhelming to browse.
For shoppers, it’s a double-edged sword: they want to feel confident that they checked your entire collection, but they also don’t want to spend time looking for it.
How Shopping Assistant helps:
Shopping Assistant accelerates the process, turning hazy details into clear, friendly guidance.
It describes shoe details, from colorways to logo placement, compares products side by side, and recommends the best option based on the shopper’s preferences and conditions.
The result is shoppers who feel satisfied and more connected with your brand.

Results:
Big events call for great outfits, but putting one together online isn’t always easy. With thousands of options to scroll through, shoppers often want a bit of styling direction.
How Shopping Assistant helps:
Shoppers get to chat with a virtual stylist who recommends full outfits based on the occasion, suggests accessories to complete the look, and removes the guesswork of pairing pieces together.
The result is a fun, confidence-building shopping experience that feels like getting advice from a stylist who actually understands their plans.

Results:
Shade matching is hard enough in-store, but doing it online can feel impossible. Plus, when a longtime favorite gets discontinued, shoppers are left guessing which new shade will come closest. That uncertainty often leads to hesitation, abandoned carts, or ordering multiple shades “just in case.”
How Shopping Assistant helps:
Shoppers find their perfect match without any of the guesswork. The assistant asks a few quick questions, recommends the closest shade or formula, and offers smart alternatives when a product is unavailable.
The experience feels like chatting with a knowledgeable beauty advisor — someone who makes the decision easy and leaves shoppers feeling confident in what they’re buying.
Katia Komar, Sr. Manager of Ecommerce and Customer Service Operations at bareMinerals UK says, “What impressed me the most is the AI’s ability to upsell with a conversational tone that feels genuinely helpful and doesn't sound too pushy or transactional. It sounds remarkably human, identifying correct follow-up questions to determine the correct product recommendation, resulting in improved AOV. It’s exactly how I train our human agents and BPO partners.”

Results:
When shoppers are buying gifts, especially for someone else, they often know who they’re shopping for but not what to buy. A vague product name or a half-remembered scent can quickly make the experience feel overwhelming without someone to guide them.
How Shopping Assistant helps:
Thoughtful guidance goes a long way. By asking clarifying questions and recognizing likely mix-ups, Shopping Assistant helps shoppers figure out what the recipient was probably referring to, then recommends the right product along with complementary gift options that make the choice feel intentional.
It brings the reassurance of an in-store associate to the online experience, helping shoppers move forward with confidence.

Results:
Finding the right bra size online is notoriously tricky. Shoppers often second-guess their band or cup size, and even small uncertainties can lead to returns — or abandoning the purchase altogether.
Many customers just want someone to walk them through what a proper fit should actually feel like.
How Shopping Assistant helps:
Searching for products is no longer a time-consuming process. Shopping Assistant detects a shopper’s search terms and sends relevant products in chat. Like an in-store associate, it uses context to deliver what shoppers are looking for, so they can skip the search and head right to checkout.

Results:
For shoppers buying personalized jewelry, the details directly affect the final result. That’s why customization questions come up constantly, and why uncertainty can quickly stall the path to purchase.
How Shopping Assistant helps:
Shopping Assistant asks about the shopper’s style preferences and customization needs, then recommends the right product and options so they can feel confident the final piece is exactly their style. The experience feels quick, helpful, and designed to guide shoppers toward a high investment purchase.

Results:
Decorating a home is personal, and shoppers often want reassurance that a new piece will blend with what they already own. Questions about color palettes, textures, and proportions come up constantly. And without guidance, it’s easy for shoppers to feel unsure about hitting “add to cart.”
How Shopping Assistant helps:
Giving shoppers personalized styling support helps them visualize how pieces will work in their home.
Shoppers receive styling suggestions based on their existing space as well as recommendations on pieces that complement their color palette.
It even guides them toward a 60-minute virtual styling consultation when they need deeper help. The experience feels thoughtful and high-touch, which is why shoppers often spend more once they feel confident in their choices.

Results:
When shoppers discover a new drink mix, they’re bound to have questions before committing. How strong will it taste? How much should they use? Will it work with their preferred drink or routine? Uncertainty at this stage can stall the purchase or lead to disappointment later.
How Shopping Assistant helps:
Clear, friendly guidance in chat helps shoppers understand exactly how to use the product. Shopping Assistant answers questions about serving size, flavor strength, and pairing options, and suggests the best way to prepare the mix based on the shopper’s preferences.

Results:
Shopping for health supplements can feel confusing fast. Customers often have questions about which formulas fit their age, health goals, or daily routine. Without clear guidance, most will hesitate or pick the wrong product.
How Shopping Assistant helps:
Shopping Assistant detects hesitation when shoppers linger on a search results page. It proactively asks a few clarifying questions, narrows down product options, and points shoppers to the best product or bundle for their needs.
The entire experience feels supportive and gives shoppers confidence they’ve picked the right option.

Results:
Shopping for kids’ furniture comes with a lot of “Is this the right one?” moments. Parents want something safe, sturdy, and sized correctly for their child’s age. With so many options, it’s easy to feel unsure about what will actually work in their space.
How Shopping Assistant helps:
Shopping Assistant guides parents toward the best fit right away. It asks about their child’s age, room layout, and safety considerations, then recommends the most appropriate bed or furniture setup. The experience feels like chatting with a knowledgeable salesperson who understands what families actually need as kids grow.

Results:
Even something as simple as choosing a toothbrush can feel complicated when multiple models come with different speeds, materials, and features. Shoppers want to understand what matters so they can pick the one that fits their routine and budget.
How Shopping Assistant helps:
Choosing between toothbrush models shouldn’t feel like decoding tech specs. When shoppers can see the key differences in plain language, including what’s unique, how each model works, and who it’s best for, they can make a decision with ease.
Suddenly, the whole process feels simple instead of overwhelming.

Results:
Across all 11 brands, one theme is clear. When shoppers get the guidance they need at the right moment, they convert more confidently and often spend more.
Here’s what stands out:
What this means for you:
Look closely at your most common pre-purchase questions. Anywhere shoppers hesitate from fit, shade, technical specs, styling, bundles is a place where Shopping Assistant can step in, boost confidence, and unlock more sales.
If you notice the same patterns in your own store, such as shoppers hesitating over sizing, shade matching, product comparisons, or technical details, guided shopping can make an immediate impact. These moments are often your biggest opportunities to increase revenue and improve the buying experience.
Many of the brands in this post started by identifying their most common pre-purchase questions and letting AI handle them at scale. You can do the same.
If you want to boost conversions, lift AOV, and create a smoother path to purchase, now is a great time to explore guided shopping for your team.
Book a demo or activate Shopping Assistant to get started.
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TL;DR:
Conversational commerce finally has a scoreboard.
For years, CX leaders knew support conversations mattered, they just couldn’t prove how much. Conversations lived in that gray area of ecommerce where shoppers got answers, agents did their best, and everyone agreed the channel was “important”…
But tying those interactions back to actual revenue? Nearly impossible.
Fast forward to today, and everything has changed.
Real-time conversations — whether handled by a human agent or powered by AI — now leave a measurable footprint across the entire customer journey. You can see how many conversations directly influenced a purchase.
In other words, conversational commerce is finally something CX teams can measure, optimize, and scale with confidence.
If you want to prove the value of your CX strategy to your CFO, your marketing team, or your CEO, you need data, not anecdotes.
Leadership isn’t swayed by “We think conversations help shoppers.” They want to see the receipts. They want to know exactly how interactions influence revenue, which conversations drive conversion, and where AI meaningfully reduces workload without sacrificing quality.
That’s why conversational commerce metrics matter now more than ever. This gives CX leaders a way to:
These metrics let you track impact with clarity and confidence.
And once you can measure it, you can build a stronger case for deeper investment in conversational tools and strategy.
So, what exactly should CX teams be measuring?
While conversational commerce touches every part of the customer journey, the most meaningful insights fall into four core categories:
Let’s dive into each.
If you want to understand how well your conversational commerce strategy is working, automation performance is the first place to look. These metrics reveal how effectively AI is resolving shopper needs, reducing ticket volume, and stepping into revenue-driving conversations at scale.
The two most foundational metrics?
Resolution rate measures how many conversations your AI handles from start to finish without needing a human to take over. On paper, high resolution rates sound like a guaranteed win. It suggests your AI is handling product questions, sizing concerns, shade matching, order guidance, and more — all without adding to your team’s workload.
But a high resolution rate doesn’t automatically mean your AI is performing well.
Yes, the ticket was “resolved,” but was the customer actually helped? Was the answer accurate? Did the shopper leave satisfied or frustrated?
This is where quality assurance becomes essential. Your AI should be resolving tickets accurately and helpfully, not simply checking boxes.
At its best, a strong resolution rate signals that your AI is:
When resolution rate quality goes up, so does revenue influence.
You can see this clearly with beauty brands, where accuracy matters enormously. bareMinerals, for example, used to receive a flood of shade-matching questions. Everything from “Which concealer matches my undertone?” to “This foundation shade was discontinued; what’s the closest match?”
Before AI, these questions required well-trained agents and often created inconsistencies depending on who answered.
Once they introduced Shopping Assistant, resolution rate suddenly became more meaningful. AI wasn’t just closing tickets; it was giving smarter, more confident recommendations than many agents could deliver at scale, especially after hours.

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

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

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

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

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

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

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

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

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

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

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

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

The more information you can share with customers upfront, the better. That will leave your team time to tackle the heady stuff.
If you’re looking for an AI-assist this season, check out Gorgias’s suite of products like AI Agent and Shopping Assistant.
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TL;DR:
Guess what? Automating your customer support doesn’t mean you don't care about every customer interaction—it’s quite the opposite.
Think about it… if someone wants to cancel an order, they simply want it done without any attempts at a personalized upsell. This type of response usually doesn’t require any additional flair.
Automation allows you to meet customers' needs promptly for straightforward requests. At the same time, it gives your team the bandwidth to invest more time and energy into solving intricate problems and building stronger customer relationships.
Many brands using Gorgias AI Agent are saving both time and money, reducing response times, and even increasing sales generated directly from support.
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As a solopreneur, it’s pretty self-explanatory. You’re busy with all aspects of your business, so automating what you can is going to help you prioritize and focus on more important things.
But what about those who have customer support teams? This might sound counterintuitive, but Gorgias AI Agent isn’t geared toward any specific type of brand.
It benefits everyone at every stage of growth, whether you’re a single founder who wears many hats or lead a large CS team at an enterprise business.
Take Obvi—this mid-market health and wellness brand has a lean CX team of only two support agents. Although surprising, given their size and stage of growth, they’ve been able to automate the tedious and repetitive parts of CX.
For example, during BFCM 2023, Obvi’s CEO Ron Shah decided to use AI Agent to boost CX efficiency even further while still providing excellent customer support.
“I told our team we were going to onboard AI Agent for BFCM, so a good portion of tickets would be handled automatically. There was a huge sigh of relief knowing that customers were going to be taken care of.”
—Ron Shah, CEO and Co-founder at Obvi
Obvi now handles 150+ tickets per day without adding any headcount, thanks to a 27% automation rate—which they achieved within two weeks of onboarding AI Agent.
Even for enterprise brands with larger CX teams, AI Agent helps them deal with the huge influx of queries that don’t require a human response—things like, “Where’s my order?” or “Can you cancel my order?”
And it’s also more than the support teams who benefit. With more time given back to agents for strategic thinking, support teams can share helpful advice across the entire organization:
This way, customer support becomes less about the speed of ticket resolution and more about providing high-quality customer service that returns the favor with higher CLTV. How? Let’s review a few stories from brands using AI Agent.
💡 Pro Tip: Deflect WISMO tickets and let customers track their order by activating Order Management in your AI Agent settings. Go to Settings > Productivity > Order Management and toggle Track Order on.
Every brand eventually faces a common dilemma: how to scale efficiently while keeping customer experience high and costs low.
This was no different for Psycho Bunny, the vibrant menswear brand known for its edgy twist on classic styles and its iconic skull-and-crossbones rabbit logo. As the company grew, so did the challenge of maintaining top-notch customer support without skyrocketing overhead costs.
"As we continue to grow this multi-million dollar company, the most important thing is maintaining or improving our current KPIs and CSAT, but without raising our customer support overhead. And being able to maintain this for the next 5–10 years."
—Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny
Recognizing the need for innovation, the team turned to AI for a solution, specifically through Gorgias. Quickly after setup, the team began trialing AI Agent and named it Lisa.
Gorgias’s conversational AI tool, AI Agent, is an extension of your team. Just like a new support agent, AI Agent can:
For Psycho Bunny, AI Agent quickly became a vital member of the team, resolving 26% of customer tickets with lightning speed—99.4% faster than human agents.
By handling repetitive questions like order status and returns, Lisa freed up human agents to tackle more complex and high-value customer interactions.
One of its standout features is its ability to respond with empathy and personalization, reflecting the specific information customers provide.
"We love the empathy in AI Agent’s responses," said Mary Mundy, Technical Support Specialist at Psycho Bunny. "Replacing a generic automated reply with a response that identifies the issues and has empathy, while communicating the key information the customer needs, is awesome."
The impact was immediate and impressive. Lisa answered queries 10 times faster than the team average, typically resolving tickets in under 2 minutes compared to the 4+ hours it took human agents.
Within the first two months, AI Agent shot to the top of Psycho Bunny’s customer support leaderboard for first response and resolution times, all while generating higher CSAT scores (4.67) than the team average (4.6).
💡 Pro Tip: Give your AI Agent some personality to match how your human agents speak. Go to AI Agent > Settings tab, and in the Tone of Voice menu, choose from Friendly, Professional, Sophisticated, or Custom tones.
Kirby Allison, the luxury shoe and garment care retailer, has been a staple for well-dressed customers since 2011. However, their growing success came with a hefty challenge: an overwhelming influx of customer support inquiries.
With just two dedicated team members handling a surge of repetitive questions and manual processes, Kirby Allison’s customer support team was stretched thin.
The pressure was on Addison Debter, Head of Customer Service, who not only managed customer queries but also juggled inventory management, product information updates, and website development.
"We were inundated with simple, repetitive questions: 'Where is my order?' 'What kind of shoe polish do I need?' We had to keep repeating similar answers to similar questions. And we were doing the exchanges and returns manually, one by one. We were losing so much time. We couldn't follow up with customers as quickly as we wanted," Addison shared.
The team wanted a better way to handle these tickets, so they switched from Zendesk to Gorgias, specifically for the automation features.

"Our favorite features are definitely Flows and Article Recommendations," Addison said. "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."

Flows allow you to display up to six commonly asked questions directly in your chat widget. If a customer clicks on one of those questions, they’re redirected to articles from your knowledge base where they get the answer quickly. It’s an entirely self-serve experience.

Auto responses have also been impactful for this team. These work by using Rules to automatically reply to emails and messages based on the context of the customer's message.
The results? Within just two months, Kirby Allison saw a 23% increase in conversions and a staggering 46% boost in sales from support.
Automating responses to pre-sales questions freed up the team to engage in conversations that led to sales, improving both revenue and efficiency.
💡 Not sure which FAQs to include in your Chat? Check out our list of 50+ FAQ templates here.
The holidays are always difficult for support teams. The stakes are high, and so is the influx of support tickets.
Thankfully, customers can get the answers and guidance they need faster and more easily via self-serve order management, Flows, and AI-driven Article Recommendations.
Shinesty, the brand that’s all about making the world take itself less seriously, started out selling wacky vintage suits. Nowadays, they’re best known for their men’s underwear range, including the signature Ball Hammocks, which promise booty bliss and scrotal serenity.
Shinesty also offers a subscription service, delivering a fresh pair of underwear each month with exclusive prints and discounts.
As with many ecommerce brands, Shinesty’s peak sales period spans from Black Friday through Christmas. The year-round customer support team of three builds up to 20 agents during the holidays to handle this surge.
For the 2023 holiday season, Molly Kerrigan, Senior Director of Retention, aimed to boost efficiency through automation. The goal? Help the CX team work smarter, not harder, and maintain their stellar customer satisfaction without increasing headcount.
“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 emphasized.
The team was swamped with repetitive questions about order status, discounts, and account management—all important queries but ones that don’t necessarily build customer relationships. Self-service solutions seemed like the answer, but previous tools struggled with Shinesty’s subscription model complexities

“Other tools required a high level of customization to handle the subscription element. But Gorgias AI Agent has been straightforward,” said Molly.
After seeing the impact early, Molly and her team doubled down on optimizing their use of AI Agent:
These automations are accessible via Chat, the Help Center, or the Contact Form, giving customers fast answers without needing to speak to an agent.
📚 Read more: Offer more self-serve options with flows: 10 use cases & best practices

Shinesty’s Flows are so effective that many have an automation rate of over 90%, meaning they resolve customer inquiries 90% of the time without human intervention.
AI Agent helped Shinesty significantly save on recruitment, training, and overtime costs. Shinesty’s first response time has dropped by 65% and resolution time by 69%. This has resulted in the fastest resolution times Shinesty has ever seen, with the smallest CX team they’ve ever had—just five agents for the 2023 peak season, compared to 20 in 2021 and 12 in 2022.

Today, shoppers expect a high-quality shopping experience, and we know that they love having the power to solve problems on their own, on their schedule. In fact, 84% say a company's customer experience is as important as its products and services.
While we’ve seen how AI Agent can help you meet those expectations, a core component to making all of the flows work effectively is a customer knowledge base. This is crucial for any effective customer support automation strategy. Why?
A few reasons:
A knowledge base is an interactive portal that connects your customers to both sales and customer service. That means making it easy for them to find answers before making a purchase and helping them troubleshoot any possible issues afterward.
This brand’s Help Center shines with its customer-focused design.
At the top of the page, it addresses common questions like returns policy and product compatibility, allowing customers to find answers quickly without scrolling. To enhance the shopping experience, BrüMate offers an interactive quiz that guides customers to the perfect product, saving them the hassle of extensive research.

The Help Center also includes easily accessible links for package tracking and returning to the main site, with a chat bubble for immediate assistance. When the customer service team is offline, customers can still access helpful articles.
💡 Did you know? You can teach AI Agent information from specific URLs. Simply go to AI Agent > Knowledge > Public URL sources.
“We’ve started pushing people towards resources that are in our Help Center. We're trying to help our customers self-solve.”
—Colin Waters, leading at The Feed & former Associate Director of Customer Experience at BrüMate
By integrating AI into your customer support strategy, you can significantly reduce your team's workload. Gorgias AI Agent is proven to be able to handle 30% of inquiries autonomously within just 30 days.
Curious about how conversational AI can benefit your business? Book a demo to learn about the advantages of AI Agent and see firsthand how they can transform your customer support operations.
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While new customer acquisition is always going to be the most important driver of business growth, it’s important to keep existing customers coming back for more. Good customer retention helps brand reputation—which is itself important for new business growth—while making your overall marketing program more efficient.
Paid social media advertising is one of the most powerful customer retention tools that brands have at their disposal. In this blog, we’ll break down:
Let’s get started.
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Put simply, if you don’t use social media to stay top-of-mind for your existing customers, your competitors will. Competitor conquesting is a very real part of paid social strategy, and competing brands will always try to woo your existing audience, often with an appealing deal or offer. Retention strategies, in part, are a way to defend your brand from those encroachments.
On top of that, customers often need a reminder. Even if they love your brand and products, they aren’t going to be thinking about them all the time, so it’s on you to do a little of the lifting for them. It’s important to pop out every now and then to show them what new items you have in stock, or to encourage their next purchase with a great sales offer.
Lastly, every person’s preferred communication style is different. Not all customers read emails or marketing texts, but social usage is pretty ubiquitous: More than 7 out of 10 American adults use at least one social media platform, with Facebook (68%) and Instagram (47%) being the most popular. That makes paid social a good way to ensure your customers remain aware of your latest and greatest offerings when they’re passively browsing their preferred social apps.
Generally speaking, prospecting should always get the majority of your paid social marketing budget. At ADM, we encourage no less than 60%, and often more depending on a brand’s business model. That means retention campaigns should always represent a minority of your budget.
This is for a number of reasons: One, most businesses can’t survive without constantly restocking their pipeline of new customers. And since it’s much harder to convince an unfamiliar user to make a purchase if they haven’t heard of your brand or enjoyed your products yet, new customers will typically require more touchpoints to produce a conversion—which means more budget.
Retention campaigns, on the other hand, often work more efficiently. If you’re properly nurturing existing customers by offering perks like exclusive deals and early access to sales, they will keep purchasing. So deciding how big of a majority share your prospecting efforts get compared to retention shouldn’t be solely based on the volume of purchases you can get from each bucket: The cost of driving a purchase from each segment is a deciding factor as well.
The march towards a cookieless future has made traditional remarketing less effective on social media. Custom audiences are still useful on Meta and other social platforms, however, which means retention campaigns should rely on first-party data. Your CRM lists, which use first-party data willingly provided by your customers, will be your most important resource—though Pixel-based past purchaser audiences can also be useful for speaking to existing customers who may have purchased more recently.
The rise of AI-powered campaign types, like Meta’s Advantage+ campaigns, have also changed how marketers approach these audiences. These campaigns use algorithmic insights to deploy different ad creative based on inferences about the user and its own learnings about how different creative performs for different purposes. That makes it possible to utilize “blended” targeting—running prospecting, remarketing, and retention audiences all under the same campaign, provided you have appropriate ad creative options for each audience type in the campaign.
The most important part of this “new era” is staying on top of the spend allocated to these segments. A strong retention audience can help lift ROAS, but brands still need to monitor where spend is going within those campaigns to ensure it isn’t all gravitating to one customer type. Putting spend caps on a retention audience, or using an existing customer percentage cap in Advantage+, can be good ways to regain some control over your audiences.
There is no one-size-fits-all strategy for making sure customers come back for more, but there are some best practices to follow to set your retention efforts up for maximum success. Here’s what ADM recommends:
Upsells/Next step products:
Create targeted ads featuring “next step” products in the customer journey. For example, a running apparel brand might advertise running shoes specifically to existing customers, as these items typically have a higher price point and require more research compared to items like tights or a running bra.
First looks/early access to new products or releases:
Utilize custom lists to incentivize first-time purchasers to make a subsequent purchase with a small discount. Offer VIP early access to sales for existing customers with steeper discounts, making them feel valued and encouraging repeat business.
Special deals for existing customers only:
Target existing customers with exclusive deals on their favorite products in new colors or offer early access to new releases related to previously purchased items. This approach can enhance customer loyalty by making them feel special and appreciated.
Creative messaging specific to retention audiences:
If it’s a retention ad, users should get the impression you’re inviting them back to buy again. That’s why it’s important to differentiate retention messaging from prospecting, with ideas like:
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Because retention campaigns typically use first-party data, there’s often less guesswork involved when it comes to your results. The user is verifiably tied to the action they undertake, so marketers feel confident that they are accurately reaching existing customers they intend to.
In order to validate success, it’s best to look at the return on ad spend (ROAS) you’re getting from your retention audiences relative to your prospecting efforts. Since existing customers already have brand affinity, they should be expected to purchase more while requiring a shorter journey from impression to purchase.
That means your retention audience ROAS targets should be as much as double those of prospecting. For example, if a comfortable ROAS for one of our client’s prospecting audiences was 1.5, we would consider targeting a retention ROAS goal closer to 2.5 or 3.
The only thing as valuable as knowing what to do is knowing what not to do. Here are some of the common customer retention mistakes we have seen around the industry:
Running Generic Ads: Creating generic ads is the easiest way to lose with any segment. If your messaging isn’t tailored to your audience, it will always fall flat. This is especially true with retention audiences who already loyal customers don’t want to be spoken to like they’re brand new.
Letting Ads Go Stale: An ad might work great the first time someone sees it. It might still make an impact the fifth or tenth time. But if your same existing customers are receiving the same message repeatedly—and not converting—then fatigue can have a negative impact on performance. Make sure you’re updating retention ads frequently enough that users don’t get annoyed by or immune to your message.
Inappropriate Spend Split: As mentioned in the budgeting section, the wrong spend split and not tailoring goals to each audience can also be major hindrances to retention performance. It’s important to make sure you’re not neglecting your existing customers by putting too little budget towards them, but since existing customers are finite and new customers aren’t, it’s possible to reach oversaturation and diminishing returns if you put too much budget into those campaigns.
Bad or Outdated Customer Data: Healthy, accurate customer data is key to ensuring you are reaching the right audiences. Using outdated customer lists for targeting can be a big mistake. When using CRM segments for retention campaigns, make sure you are updating those segments frequently (or using a third-party integration like Klaviyo) to ensure segments update automatically.
As we’ve laid out here, a lot goes into running effective customer retention campaigns on your paid social media. If you’re looking for an expert performance marketing agency that can assist in all facets of your online growth, reach out to our team at Accelerated Digital Media to set up an audit.

TL;DR:
Chances are, you’ve had at least one frustrating experience with AI in customer support. Even with 69.2% of customer support professionals using AI, you’re still skeptical about making AI a permanent part of your customer support operations.
At Gorgias, building AI has been a thoughtful process. We insist on only shipping AI features that improve customer experiences, not degrade them.
To help you understand how we’re approaching AI, we’ll walk through the four pillars that ensure a positive AI experience for you and your customers: Onboard, Automate, Observe, and Coach.
Putting it all together: we view AI as the ultimate assistive tool for customer experience (CX) teams.
Before diving into the four pillars, let’s set the stage. Two major changes have occurred in the past few years:
As AI removes the grunt work from support teams’ plates, repetitive tasks such as providing order status updates, processing returns, and answering frequently asked questions can be offloaded to AI.
AI can even handle the mental work of reading, summarizing, categorizing, prioritizing, and tagging, even when a human needs to step in.
Agents can then focus on higher-impact tasks, like speaking to VIP customers on the phone, offering new support channels, driving upsells and cross-sells, and much more. This is how CX teams evolve.
Brands using Gorgias AI Agent in the alpha testing phase are already automating as much as 30% of email tickets. By the end of 2024, we envision over half of brands’ customer tickets to be handled by AI Agent.

Our overall goal is to make CX tools, including AI, that are great for customers and their overall business goals. We follow four pillars when it comes to AI at Gorgias.
Bringing AI into your support team is like onboarding a new agent. Like any agent, AI should know:
AI should model the most efficient support reps who know their brand inside and out — while being able to empathize with customers at lightning speed. That is the future of great customer service.
AI Agent’s main knowledge reference is your owned data, including your Shopify storefront and backend, Help Center articles, order data, brand voice, conversation history, and other URLs where your brand content is stored.
When adding AI Agent to your Gorgias account, you can sync each of these resources to empower your AI Agent with the knowledge it needs to answer questions and resolve basic issues.
To enhance AI Agent’s answering power, the Guidance feature allows you to provide detailed instructions on how AI Agent should interact with customers.
While the prior resources are centered around brand knowledge, Guidance is more like team processes. You can instruct AI Agent to ask follow-up questions, confirm details, and treat customers one way or another depending on factors like whether:

Tosha Moyer, Senior Customer Experience Manager at menswear brand Psycho Bunny, highlights the value of our internal guidance feature. “Guidance is so important because we have a lot of internal processes that we do not need to be described in a customer-facing article, but we want AI Agent to be able to access that information and manage tickets accordingly.”
Last, you can instruct AI to speak in your brand’s voice. When setting up AI Agent, you can provide your team’s tone of voice guidelines, brand bible, and other resources to ensure your agent represents your brand identity.

AI can do so much more than restate your brand policies. At Gorgias, we believe AI should fully resolve inquiries — and that means taking action.
According to a report by Gartner, 82% of customers say quick resolutions influence their decision to stay loyal to a brand. When we empower AI to take action, customers have better experiences and are more likely to keep doing business with a brand.
AI Agent uses the latest model of ChatGPT, 4o, combined with the content you already have to send human-like answers to customers.
But AI Agent doesn’t only regurgitate your Help Center content. It goes one step further by updating customers’ orders, changing addresses, sending order and return statuses, and more.
Native integrations with Shopify and other apps in the Gorgias ecosystem allow AI Agent to fully resolve basic inquiries by pulling customer-specific data and performing actions in other tools.
Our goal is to make connecting these tools as simple as possible, minimizing the need for technical setups like configuring API calls.

Of course, AI’s decisions on when to execute these Actions should come from your team. That’s why you can set up conditions for each Action, specifying when (and for whom) the Action can fire.

AI Agent includes a variety of pre-built Actions from popular ecommerce apps like Shopify, Recharge, and Loop Returns — with many more on the way. You can also build Custom Actions with any 3rd-party tool.

Within two months, AI Agent outranked Psycho Bunny’s human agents’ resolution times. It resolved tickets in under 2 minutes, compared to the human average of 4+ hours. Customers even gave AI Agent a 4.67/5 CSAT score — nearly 0.1 points higher than human agents’ average CSAT score.
AI is a new technology — we humans are still building trust and comfort. In fact, only 3 in 10 Americans are able to identify AI use in digital use cases, according to the Pew Research Center. This suggests a lack of transparency in how companies use AI.
In a problem-solving service like customer support, AI’s role and decision-making should be transparent: Agents should know which tickets are handled by AI, what exactly the AI did, and why.
Agents can see the logic of AI Agent right in the ticket view. This includes the knowledge source it used, the specific actions it took, and the exact responses it generated. All actions made by AI Agent are highlighted in purple or symbolized by the purple sparkle AI Agent icon.

Being able to discern AI responses from human ones allows brands to:
We highly recommend nominating one human agent to review AI Agent’s responses. Set aside time each week to review to understand how it behaves, when it responds vs hands over, and the most common knowledge resources it pulls from.
Inevitably, AI won’t be perfect from day 1. Just like a new agent, AI needs coaching. That’s why the final pillar of our AI philosophy is improving AI’s knowledge and performance through coaching.
When AI makes a mistake, you should have the power to correct it so that future errors are avoided. When AI acts correctly, you should also be able to encourage and reinforce its positive behavior.
A continuous cycle of coaching helps AI become more aligned with your brand’s standards.
Feedback is built into AI Agent. Every decision AI Agent makes can be rated with a thumbs-up/down system. Encourage AI Agent to continue making the same actions with a thumbs up, and change behavior with a thumbs down.
You can see how AI handles every situation in detail, giving you full transparency. Reviewing these decisions leads AI to better align with your brand’s standards.

In addition, you can easily instruct AI Agent to pull from different Guidance instructions and Help Center articles or execute different Actions — with the easy ability to create or edit those resources in just a few clicks.

At Gorgias, we designed AI to enhance your customer support experience. By leveraging the pillars of Onboard, Automate, Observe, and Coach, we ensure that AI Agent is an effective and reliable partner for your team.
With AI handling low-priority repetitive questions, your team can focus on creating more meaningful connections. This includes prioritizing VIP customers and escalated tickets, upselling, and engaging in higher-impact activities.
The future of AI at Gorgias is bright, with continuous improvements and new features on the horizon. Embrace the power of AI and see how it can transform your customer service team.
Book a demo today to experience the benefits of AI Agent for yourself.
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TL;DR:
Your customer experience team is considering investing in AI and automation, but you might be wondering: What will happen to your team after?
They aren’t going anywhere.
Instead, your team has more time to tackle high-priority work that often gets put on the back burner, like:
We’ve found that automating just 30% of your incoming ticket load can take on the work of three support agents. Overall, AI is a tool that can streamline customer service work and make your agents' lives easier.
Just as a helpdesk unifies all customer messages and removes the part of the process where agents have to jump between inboxes, AI eliminates the grunt work of reading and resolving repetitive tickets and more.
Automating tickets opens a world of opportunity for your support agents. Let’s break down how your CX team will evolve once AI joins the party.
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One of the biggest benefits of incorporating AI within your ecommerce CX strategy is encouraging your team to become AI coaches.
When you automate “traditional” CX tasks, like answering incoming tickets, your team gains back time to provide feedback to continuously improve your AI and create more effective processes.

Empowering your human agents to become AI coaches could happen in multiple scenarios, such as:
Psycho Bunny uses Gorgias’s conversational AI tool, AI Agent, to automate 26% of customer tickets, providing empathetic and personalized responses to customer questions rather than generic auto-replies.
An incoming customer inquiry may occasionally require an agent to refer to internal, non-public information. At Psycho Bunny, AI Agent uses Guidance to leverage internal information and prompts to properly resolve or escalate issues as needed.
“The Guidance feature is so important because 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,” says Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny.

AI can handle most of your incoming repetitive questions, like “Where’s my order?” or “What’s my size?” but where it falls short is tackling high-priority issues, like a question asked shortly after a purchase is made.
When it comes to ticket prioritization, we recommend using AI to handle low-priority tickets to free up your team to solely take care of the most pressing customer issues. Low-priority tickets are not time-sensitive or tied to generating a sale, making them perfect candidates for automation.

With AI handling easy-to-resolve issues, your team can focus on high-priority and revenue-related requests. High-priority tickets include those tied to revenue, such as VIP or returning customer inquiries, escalated cases like potential bad reviews, and conversations needing immediate responses via SMS or live chat.
Every conversation with a customer is an opportunity to drive a sale.
Your support team is on the frontline of customer interactions. No one knows your brand's customers and their pain points better.
When you allow AI to manage ticket loads, the nature of your team changes from simply managing grunt work to becoming more like sales associates.
This is an opportunity for agents to think beyond answering tickets and to become cross-functional partners across the brand, providing more value to the business overall by:

Manduka implemented Gorgias Convert, an ecommerce marketing tool designed to turn first-time shoppers into repeat customers. Using onsite campaigns, Convert leverages audience segmentation to provide proactive and personalized interactions to increase conversions and boost average order value.
For instance, when an online shopper looks likely to leave Manduka’s website and meets certain conditions, a discount code campaign is triggered if customers sign up for email or SMS marketing messages.
Between April and August 2023, Manduka’s on-site Convert campaign saw:

“Gorgias Convert is amazing, we highly recommend it,” says Jessica Botello, Customer Service Manager at Manduka. “Gorgias Convert is almost a one-to-one translation of the in-person retail experience to the online retail experience where that wasn't available before.”
(For anyone considering implementing Convert, we also offer a Convert Bootcamp to get CX teams up and running in just a few weeks.)
When AI can automatically handle the bulk of incoming customer inquiries, you can put your human team on channels that push conversations and higher lifetime value (LTV).
Here are some ways to enhance your customer experiences:
Caela Castillo, Director of CX at JAXXON, notes that automation is not a total replacement for agents but a tool that provides instant information to shoppers while allowing agents to focus on more critical, revenue-generating tickets.
While AI Agent automatically resolves 37% of their tickets, JAXXON agents have more time to attend to higher-impact conversations, such as escalations and particular product-related questions. In addition, they can spend more time in the back end of their helpdesk by creating engaging chat campaigns and improving their self-service resources.

AI makes agents' jobs more strategic.
With a bulk of tickets automatically managed, your team can spend less time putting out small fires. Agents can identify trends in customer interactions and make better-informed decisions that affect more than the CX team.
The key is to share insights and collaborate with other teams to improve the business as a whole.
Here are specific insights to share with certain teams:

Topicals wanted to reduce the high number of returned products by providing more helpful information to shoppers before they went to the checkout, so they leveraged Gorgias AI Agent to handle 69% of incoming tickets.
With AI Agent, Topicals’ return rate dropped significantly, and sales from customer support increased by 78%. Agents also gained free time to think more strategically about the customer experience overall. Thanks to improved pre-sales conversations, customer satisfaction scores are now at 4.8/5.
As a result, the Topicals team now better understands what types of customer experience generate more sales and higher satisfaction scores. Best of all, they can leverage these insights to continuously fine-tune the experience.
“Being able to track customer satisfaction scores in Gorgias is a really big help to us. Before, we didn't know if we were doing well or not, but now we can see people like the service we provide. And we use the KPI tracking data for internal monthly meetings to review performance and see where we can improve.”
— Deja Jefferson, Customer Experience Manager at Topicals
There’s a lot of fear around AI. We get it — change is hard (and scary).
It’s important to choose a tool you can trust. At Gorgias, AI and automation aren’t new trends. With AI Agent, Gorgias has led the revolution in AI-driven customer support solutions for 16,000 ecommerce brands.
Sign up for free to kickstart your journey in automating CX with the power of AI.
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TL;DR:
In the competitive ecommerce landscape, turning browsers into buyers is like… trying to get a cat to take a bath (if you know, you know). You can activate various website campaigns until something sticks, but without relying on concrete data, you may never see the conversions you want.
This is where addressing pre-sales friction points comes into play. In other words, resolving concerns that customers face before making a purchase.
Once you’ve determined the problem areas, you can use Convert campaigns to lead customers to the checkout. These onsite campaigns have proven to enhance customer engagement, drive conversions, and significantly reduce return rates.
Ready to gain new customers? Let’s deep dive into identifying pre-sales friction points and resolving them with Convert campaigns.
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Creating campaigns that convert requires identifying your top pre-sales barriers. These are obstacles in the buying journey that prevent customers from proceeding with a purchase.
Some sale-preventing questions could be:
Proactively addressing these friction points can remove customers' hesitation when purchasing.
Take a look at three data sources to identify your brand’s specific friction points.
After you’ve identified the obstacles in customers’ buying journeys, the next step is to resolve them.
Targeted onsite campaigns with Convert are an excellent way to tackle these issues.
Here are three effective strategies to address common pre-sales friction points and enhance the shopping experience for your customers.
As of 2024, 70% of customers worldwide end up abandoning their online shopping carts. Price, value, competitors — there are many reasons why customers choose not to checkout. The solution is to engage with customers in real time while deep in shopping mode.
Conversational campaigns are among the highest-performing Convert campaign strategies, allowing brands to address customer questions and provide personalized assistance instantly.
TUSHY enhances product education by launching an educational campaign for shoppers browsing their product pages. The campaign features a video demonstrating how easy it is to install their bidets, reassuring customers about the simplicity of using their products.
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Tips for Effective Real-Time Engagement:
Timing is a critical factor in the success of onsite campaigns. Messages should be delivered at the right moment to ensure visitor attention without interrupting their browsing experience.
Fortunately, with Convert, you can target an audience based on the time spent on a visit or specific page.
Check out how cosmetics brand Glamnetic appeals to browsing customers who spend more than a minute on their page:
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Strategies for Timely Messaging:
Educating customers is about providing information and empowering them to make confident purchasing decisions.
If customers are hesitant to buy from you, consider creating educational campaigns for:
Glamnetic runs focused educational campaigns to provide customers with helpful product info and tutorials, like how to apply lash extensions. These campaigns make shopping easier and answer customers' specific questions, helping them make better buying choices.
The results? +27% higher conversation rate and +12% AOV.
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Numbers don’t lie, and these impressive data points highlight the impact of well-crafted educational campaigns:
Making the leap from browser to buyer is no easy feat. By addressing the friction points in the buyer journey, brands can smooth the path for their customers. These strategies not only enhance the shopping experience but also build customer confidence and trust.
The data speaks for itself: well-crafted educational campaigns drive higher engagement, better conversion rates, and significantly reduce returns. Remember, you're not just selling a product — you're providing a solution, building relationships, and fostering long-term success in your brand.
Let the campaigns do all the work, and book a demo with Gorgias if you’re not leveraging Convert campaigns already.

TL;DR:
Let’s stop with the doom and gloom ecommerce trends and talk about what’s really up: growth.
Yep, you read that right.
Ecommerce sales are set to soar by 8.8% in 2024, and the digital marketplace is ripe with opportunity.
Sure, we’ve all been budget-conscious for the past year or more—businesses and consumers alike. And we’re not saying you shouldn’t be.
Despite that, there is a ton of opportunity to grow your sales this year. It’s just time to understand how consumer behavior is shifting and how you should adapt to it.
So, what’s changing? We shared six trends to know about below.
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There’s no denying that the more budget-conscious mindset is creating longer consideration times.
According to a 2023 consumer behavior report from Knocommerce, only 23.4% of shoppers reported discovering a brand and making a purchase on the same day.
Meanwhile, 15.3% reported buying in the first week, and 61.3% of people reported taking longer than a week to make their first purchase.
It's imperative to adopt a full-funnel approach and strategically engage customers at every stage of their buying journey.
How? First, you must understand what they need to learn about your products, when they need to learn it, and which customer service channels and content formats they prefer for learning about your products.
Part of the issue is knowing how to simply be available for your customers. They shouldn’t feel like they’re on a scavenger hunt on your website, trying to track down your product FAQs and contact information.
Helpdesks are a great way to solve both issues. For example, with Gorgias onsite campaigns, you can recommend products to shoppers in a subtle way, typically at various stages of their buying cycle like:


Over half of consumers (55% to be exact) rank search as their top source for pre-purchase information.
Despite what some marketing gurus share online, SEO is still an essential part of any brand’s growth strategy. Don’t sleep on SEO as an acquisition channel.
Don’t forget the basics of SEO.
We know it’s easy to forget when to set up an internal link or use a specific keyword, but there are a few best practices you should use to make sure your SEO engine is chugging alone:
Remember, SEO takes time to build. Two things you should know:
Essentially, what you do today will shape your results next year, which is why it’s worth investing ASAP.
According to a report by Salesforce, 74% of customers express concerns about the unethical use of AI. Additionally, 80% emphasize the importance of human validation of AI output.
Can shoppers be any more clear about the fact that we need a human-centered approach to AI implementation?
AI is impacting how customers trust businesses. Plain and simple, you need to implement an ethical strategy and make sure it’s managed by humans.
There’s a fine balance between speed to resolution and adding a human element to every customer message. And you can have both automation and humans running the show.
Businesses that take this approach meet customer expectations for AI safeguards while driving operational efficiency and delivering exceptional customer experiences.
The proof is in the pudding: According to Gorgias data, within just 28 days, merchants who automated up to 20% of tickets experienced an impressive 8-point increase in repeat purchase rates.
Automation goes beyond keyboard shortcuts or macros; it serves as a hands-off assistant capable of engaging customers and impacting revenue significantly—while making it easy for a human to jump in at any point for more specific customer inquiries.
TL;DR: Don’t be afraid to embrace automation as a strategic tool for customer engagement and growth.
Returns are an inevitable part of ecommerce, with up to 30% of sales potentially resulting in returns.
Contrary to common belief, returns are not a cost center—they can be transformed into a profit driver and a valuable touchpoint for enhancing customer loyalty and retention.
In fact, 91% of consumers actively track their packages, indicating a high level of interest and engagement in the returns process.
By making it easy for customers to track returns and exchanges directly from the order tracking page, you reduce return-related support tickets while providing a transparent experience for buyers.
TL;DR: A well-handled return can start a new chapter in the customer's relationship with a brand, not the final page.
At the end of the day, returns can be costly… Unless you customize the returns experience based on shopper segments and save time to re-allocate to other growth-related initiatives.
Some tips:

Read more: Ecommerce returns: 10 best practices for taking your online store to the next level
A staggering 79% of customers expect consistent interactions across different departments. Unfortunately, only 45% of customers feel that companies currently provide such consistency.
Additionally, 56% of customers report the frustration of having to repeat or re-explain information to different representatives, highlighting the disconnect between departments within organizations.
PwC states that 44% of consumers are willing to engage with chatbots to seek product information before making a purchase, making it even more important to have consistency across departments.
Today, customer support teams play a dual role as both problem solvers for post-purchase inquiries and guides for customers exploring products before buying.
Your support team must understand how to provide consistent support, pre-sale and post-sale. No matter where a buyer is in their journey, every message should feel consistent with the rest of the brand’s ethos.
Our recommendation?
First, develop templates and macros for customer communication to ensure consistency in tone of voice. By providing standardized responses, businesses can maintain a cohesive brand identity and deliver a seamless experience to customers.
Second, keep all customer information in one centralized location to avoid the need for repetitive inquiries and ensure a holistic view of each customer's interaction history with the brand. No one should have to repeat themselves when trying to get support.
Last, promote a customer-first mindset across the entire organization by prioritizing the needs and preferences of customers in all decision-making processes. For a real-life example of what this looks like, Amanda Kwasniewicz, VP of Customer Experience, shares the strategies she uses at Love Wellness in this article here.
(Teaser: the team shares customer feedback directly in Slack for the whole company to see.)

You’re likely already aware that Gmail, Yahoo, and others are imposing stricter rules for inbox placement, making it harder for marketing emails to reach their intended recipients.
Not only that, but according to Klaviyo's benchmark report, email-placed order rates have remained stagnant, with only a minimal increase from Q1-Q3, reaching just 0.8%, and a slight rise to 0.9% in Q4.
PWC also shares that TV and social ads remain highly influential in customers’ purchase decisions, whereas email is closer to the bottom. This doesn’t mean you should stop investing in email marketing, but connecting with customers in other ways is a good idea to supplement your email efforts.
You can explore many other channels—SMS, direct mail, mobile apps. Even voice marketing is a super unique and niche way to connect with audiences today.
Here at Gorgias, we’re experts at customer experience marketing, and using conversational customer service is a great way to engage with customers directly and personally—without hoping the message hits their inbox and not the spam folder.
This communication style engages customers using various channels, including live chat, messaging apps, chatbots, and even voice support.
For example, skincare brand Topicals increased sales by 78% using conversational customer support. Specifically, the brand uses Flows to automate answers to common questions, such as:
All of this takes place within a self-service chat. These chat flows also guide shoppers to additional helpful resources in Topicals' Help Center or product pages. If a customer still has unanswered questions, a customer support agent can take over the conversation and chat with them directly.

If there’s one thing we’ll leave you with, it’s this:
Embrace the shifts, leverage the trends, and explore new avenues of engagement.
You don’t have to be scared of new customer expectations, and thankfully, there are a ton of awesome tools out there now that make it easier than ever before to connect with your buyers.
With Gorgias, you can set up conversational marketing across your website, connecting with customers in ways that resonate and drive results. You can try it out for yourself here.
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TL;DR:
For most CX teams, budgets are getting tighter, but tickets are on the rise.
With strapped teams and incoming customer issues, automation is becoming an ideal tool.
94% of Gorgias customers agree, according to our recent survey.
Supporting automation in your workflow now is a surefire way to set your team up for success. Let’s explore why we’ll see an AI and automation-driven future within CX.
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Happy customers are the best fuel for growth. Why?
Happy customers want to come back to shop with you, and we know that repeat customers give long-term value to your brand.
Findings from 12,000+ Gorgias merchants show that repeat customers:
Our research also found that it is five times less expensive for a brand to retain an existing customer than it is to source a new one.
If you want to see improvement in your repeat purchase rates, automation is the way to go. Automation can handle repetitive inquiries from customers, like “Where’s my order?” so your team can focus on high-touch problems.
Brands that use Gorgias to fuel automation see improved repeat purchase rates. Within 28 days, merchants who automated up to 20% of tickets increased their repeat purchase rate by 8 points.
Gorgias's research found that 90% of U.S. customers expect an immediate customer service response. Of those customers, 60% want that response in 10 minutes or less.
A significant advantage of automation is that it effectively gives you a zero-second response time. When you trust automation to handle even a tiny percentage of your incoming tickets, you will see a decrease in your first-response time (FRT).
After Shinesty implemented Gorgias AI Agent, the company saw a 65% boost in its first response time. This change in FRT made a monumental impact on the support team's workload.
Thanks to AI Agent, Shinesty is able to deflect 55% of incoming tickets with automation, giving CX agents more time to deliver personalized and proactive support to customers.
On this improvement, Molly Kerrigan, Senior Director of Retention at Shinesty, says:
“AI Agent has allowed us to focus on improving customer experience from the ground up, because we're not so deep in ‘ticket town.’”
Thanks to automation features from Gorgias, Shinesty gained the best of both worlds, providing excellent customer service while saving the budget.
An added benefit of lightning-fast response times is getting to a resolution faster. This is more than just a nice-to-have — it makes your customers happier.
As we said earlier, happy customers are more likely to shop again and cite an overall more positive experience with your brand. This is a full-circle moment that shows how a slight change in workflow can lead to significantly positive results.
In 2022, Gorgias studied over 10,000 ecommerce brands to understand the connection between customer experience and growth. We found that lowering the average resolution time to under 6 hours gave companies a 2% boost in revenue.
With Gorgias, customers see resolution times improve dramatically, with automatically handled tickets resolving issues 52% faster than those handled without.

That happened at Psycho Bunny, where the customer support team saw resolution times improve by a staggering 99.4% after implementing Gorgias AI Agent to automate 26% of customer tickets.
With AI Agent to support the team, Psycho Bunny’s human customer support agents were free to spend more time on higher-value tasks beyond answering FAQs.
“Our customer support KPIs are already fantastic: we're already leading in the industry,” says Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny. “To improve on that, we need AI — it’s not physically or financially possible with human agents alone.”
Growth is always the goal, and incorporating automation into your existing CX workflow is a tool for achieving that growth.
Brands that use Gorgias's automation tools can successfully scale their customer service operations quickly.
For example, just 30 days after deploying Gorgias's automation features, brands see an average 1% increase in CSAT.
It's a small move in the meter that has a long-lasting impact on team morale, improved customer interactions, and a more positive experience for shoppers.
Obvi relies on Gorgias’s automation features to efficiently handle 150+ tickets each day with a slim team.
AI Agent manages about 27% of Obvi’s incoming tickets — which consist of low-priority, simple, or repetitive customer inquiries. This frees up the support team to answer complex tickets and drive sales, leading to an astonishing 10x boost in revenue over BFCM.
Even better, Obvi was able to achieve all of this after onboarding Gorgias in just two weeks.
“AI is going to help us transform ourselves into deeper thinkers by taking over simple, standardized functions,” says Ron Shah, CEO and Co-founder at Obvi. “In the ecommerce world, Gorgias is getting ahead with doing that for customer support — they’re the center of the AI revolution, and that is the standard customers are expecting.”
Your team can focus on more meaningful work by automating responses to repetitive questions or low-priority tickets.
Quickly solving a customer's problem also means they can get back to checkout faster.
But remember, automation is a tool, not a replacement for human agents. Automation helps teams of all sizes drive value, gaining extra support without spending more overhead.
July turns to AI Agent to tackle 30% of incoming tickets, taking on the workload of three extra agents.
In this case, the company has the demand to support a bigger team but not the budget. Automation helps July fill this gap to provide a seamless customer experience without overextending their human teammates.
“We immediately deflected 450 tickets a month just by setting up some automated Flows,” says Alex Naoumidis, Head of Operations and CX at July.
“Now, we don’t waste the customer or the agent’s time with basic questions that probably don’t require any human interaction.”
Gorgias is leading the revolution in conversational AI for ecommerce.
Features like our AI-generated Help Center, AI Agent, Flows, and Quick Responses allow brands to autonomously answer customer questions and track and measure AI-customer interactions to create more meaningful customer experiences and transform how support is delivered.
Start a free trial to see Gorgias AI Agent and automation features in action.
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Unfortunately, many shoppers struggle to find the information they need while shopping online, even when self-service portals should be standard, according to 88% of consumers.
At Gorgias, we focus on simplifying customer experiences with AI and automation tools. Our automation tool, Flows, is a self-service feature that delivers shoppers instant answers throughout the entire buying journey, whether it’s to find the right size or track an order.
Keep reading, and we’ll show you how to leverage self-service options at every customer touchpoint using Flows. We’ll start with 10 Flows examples from ecommerce brands, show you how to do it yourself on Gorgias, and then put all the learnings together with some best practices.
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Flows are designed to initiate simple interactions that quickly guide shoppers to the information or actions they need. They minimize website bounce rates and enhance automation rates for ecommerce customer support teams.
Flows enhance your website's chat by automating interactions with customers. They provide an immediate automated response with just one click or guide customers through a branching path that caters to their specific needs. This path could include multiple-choice questions or even prompt customers to log in and select an order.
Effective ways to use Flows:
Read more: The types of Flow steps
Flows are so versatile that they can be used for every type of shopping experience, whether a shopper has just discovered you or they’re already a dedicated brand advocate.
We’ll go through 10 use cases that could benefit from a Flow, show you how real ecommerce brands use them, and how you can make them yourself with Gorgias AI Agent.
Provide instant answers to customers' shipping inquiries with an easy-to-access shipping policy Flow directly on your website. This Flow efficiently resolves questions about shipping times and fees, helping customers quickly go from browsing to buying.
Nomad states their shipping policy in a Flow that conveniently answers processing time, shipping time, and shipping rates:
Gorgias has a templated Flow to get you started. Here's what a shipping policy Flow might look like:

If a customer isn’t satisfied with your product, don’t make it harder for them to return it. A returns Flow not only clarifies your return policy to motivate a customer who's on the fence but also connects them directly to the right process to start a return or exchange. All they have to do is enter their order number and email, and they’re done.
No handling it on the agent side and waiting from the customer end.
Try out bag brand CALPAK’s returns Flow in the tour below:
Gorgias has a templated Flow to get you started. Here's what a return and exchange Flow might look like:

A product-matching quiz can solve decision fatigue if shoppers are faced with multiple versions of a product — like a supplement for different concerns, beverage flavors, or makeup for different skin tones.
Sol de Janeiro, the fast-growing body care brand, boasts shower gels, body creams, and fragrances of different scents and colors. To prevent customers from feeling overwhelmed, Sol de Janeiro offers product-matching quizzes.
For example, their What body cream is right for me? quiz asks customers about their main skin concern. If a customer’s concern is smooth skin, they’ll recommend a body cream supporting skin elasticity. If the concern is firmer-looking skin, they recommend a cream rich in antioxidants.
Here’s what the Flow looks like on Sol de Janeiro’s website:
Gorgias has a templated Flow to get you started. Here's what a simple product recommendation Flow might look like:

Seventy-four percent of customers forget they’re paying for a subscription, based on C+R Research. Keep customer relationships honest and show customers that they have full control over their memberships, whether they want to upgrade, downgrade, or cancel their subscription plans.
Even if you have a customer portal for managing subscriptions, not all customers will look for it on their own. A Flow can bridge this gap by guiding customers directly to the portal while significantly reducing the volume of subscription-related tickets in your inbox.
Online vet care service Dutch lays it all out with a subscription management Flow, providing customers with straightforward instructions:
Gorgias has a templated Flow to get you started. Here's what a subscription management Flow might look like:

Big ticket purchases need extra support in case of defective parts. Tell customers you’ve got their back by displaying your warranty policy upfront. You’ll ease their concerns and earn their loyalty knowing their premium buy is protected.
Bidet brand TUSHY sells premium bidets. To provide similarly premium customer experiences, they have a 12-month guarantee on equipment and parts. They present their warranty policy Flow on their website:
Gorgias has a templated Flow to get you started. Here's what a warranty policy Flow might look like:

“Sold Out” or “Out of Stock” aren’t the nicest words to see on a product page, especially if you’re a repeat customer ready to buy your favorite product. To keep customers in the loop, create a Flow that lets them know the status of your products.
For the baby stroller brand Zoe, popular products sell out quickly. To efficiently manage customer inquiries, they created a When are you expecting a restock? Flow. It informs customers about product availability and also encourages them to leave their email address or SMS number. This ensures they can purchase a stroller as soon as it's back in stock and allows Zoe to connect with them for future marketing efforts.
Here's what a restock notification Flow might look like:

Products may require additional assistance depending on their usage. These can be products like electronics, apparel, and furniture. If customers are asking the same troubleshooting question, it would be best to add a troubleshooting Flow.
Check out how CAKES handles product issues with a simple Troubleshoot Flow:
Gorgias has a templated Flow to get you started. Here's what a troubleshooting Flow might look like:
Nothing beats a warm welcome, especially for new customers who are just starting their journey with your brand. A welcome Flow is essential for engaging these newcomers right from the start. It provides them with crucial product education and relevant information, setting the tone for a supportive customer relationship.
Take a look at how Crunch Labs, STEM building kits for kids, assists customers with a welcome Flow:
Here's what a welcome Flow might look like:

Apparel brands face frequent sizing inquiries that can lead to returns. A sizing guide Flow provides clear, self-service information upfront, reducing sizing issues. This Flow acts as a self-service tool that customers can use to find their correct size before purchasing.
Here’s how gender-inclusive apparel brand Both& guides customers to the right size:
Gorgias has a templated Flow to get you started. Here's what a sizing guide Flow might look like:

Unanswered pre-sales questions can deter purchases. A pre-sales question Flow delivers immediate, thorough answers, leads to a boost in customer confidence, and reduces post-purchase dissatisfaction.
Organic soap brand Dr. Bronner’s provides shelf life information for all their products with a Flow:
Here's what a pre-sales question Flow might look like:

Single-step Flows are the most engaging Flows because there’s no opportunity for shoppers to drop off. Single-step Flows can link out to additional resources, like a Help Center article or a returns and subscription portal through tools like Loop Returns or Recharge.
💡 Pro Tip: Keep Flows to a maximum of five steps. Any more and you're likely to lose customers’ attention.
Online stores’ top-performing Flows are almost always about shipping and return policies. Make sure to anticipate customer questions by creating a Flow for each policy, succinctly answering questions like:
Shipping Policy:
Return Policy:
Flows will not appear for shoppers unless the language of the Flow matches the language of the shopper's browser — including regional languages.
If a Flow is only in English (UK), it will not show up for American shoppers whose browsers are in English (US).
If you sell internationally, we highly recommend adding all possible languages to Flows, including regional languages.
Note: Gorgias Chat supports 15 languages, including English (US and UK), French (France and Canada), Spanish, Danish, Swedish, Italian, Dutch, German, Norwegian, Czech, Brazilian Portuguese, Japanese, and Finnish.
Read more: Multi-language support for Chat
Flows often automate interactions when they send customers to another page (like a Recharge login page or a Loop portal, or even sometimes a Help Center article).
If a customer’s inquiry could be solved with one of these tools, include a link to the right page in the Flow’s automated answer.
Join brands like Shinesty that use AI Agent to transform their customer experience. By using our AI and automation features, Shinesty has been able to automate over 50% of their customer tickets.
Book a demo now and be a part of the 15,000+ ecommerce brands using Gorgias to transform their customer experiences.
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