TL;DR:
Ecommerce brands are under pressure to convert more shoppers, but relying only on AI or human agents can lead to missed sales opportunities. While 34% feel that the use of AI improved their customer experience, according to Statista, 27% feel it hasn’t made a difference — suggesting that AI alone isn’t always the answer.
It’s true that AI speeds up responses and personalizes interactions at scale, while human agents build trust and close complex deals. But the solution isn't to choose one over the other.
This article will evaluate the strengths of both AI agents and human agents, offering insights to help you optimize and scale your pre-sale strategies using a hybrid AI-human intelligence approach.
Using AI and human support agents together in a hybrid approach will directly impact your success as a brand. It allows you to:
Reducing customer effort is one of the key ways to spark delight and satisfaction from customer interactions. The more stress-free and simple you can make navigating the shopping experience, the better.
AI comes in handy here in many ways, like:
All of these traits combined make a much easier experience for customers and an efficient, streamlined process for the brand. When agents aren’t bogged down with questions like these, they can focus on high-touch situations.
Pre-sales support moves the needle by answering crucial customer questions that might be blocking a purchase. Tools like Gorgias’s AI Agent for Sales make a world of difference on your store’s website. This tool has a 75% higher conversion rate than human agents, on average.
Here’s an example of what it looks like from bidet company TUSHY:
AI understands a shopper’s journey by tracking key behavioral signals: products and pages viewed, purchase history, and cart data.
The floating query bar transforms product search into a seamless conversation, eliminating the need for clicks, filters, or endless navigation. It allows customers to find what they're looking for through natural conversation with the AI Agent — wherever they are on your site.
Because AI tracks this information, it can personalize interactions based on the signals above. It does this by asking clarifying questions and remembering previous interactions in the same session.
This type of proactive support actually leads to more sales: it garnered almost 10k in revenue for jewelry shop Caitlyn Minimalist.
”Customers interact with the AI Agent like they would a customer service rep—it’s a two-way conversation where they answer questions and get personalized product recommendations,” says Gabi, Customer Service Lead at Caitlyn Minimalist.
That success was similar for beauty shop Glamnetic.
“An instant response builds confidence,” says Mia Chapa, its Sr. Director of Customer Experience.
“We live in a world with short attention spans, so customers appreciate how quickly we can respond to their inquiries.”
Quality assurance in CX is the process of ensuring that each customer interaction fits a specified list of criteria (communication, resolution completeness, attitude, etc.).
While this process has largely been a manual and time-consuming one, AI changes that for support teams.
AI-powered QA can actually review all tickets, is a scalable solution, is more consistent in its review process, saves time, and even provides instant agent feedback.
Manual QA, on the other hand, is a time-consuming and slow process, and often means feedback is delayed until leaders have the chance to review tickets. Even once they get to QA, there's a limit to how many tickets they can review in a given time frame.
Feature spotlight: Meet Auto QA: Quality checks are here to stay
AI can even make product recommendations for shoppers. These recommendations are based on browsing actions like if they repeatedly view the same pages and check return and shipping policies. It also tracks their entire behavior across your store: products and pages viewed, purchase history, cart data, and cart abandonment data.
Caitlyn Minimalist achieved incredible outcomes by leveraging AI for personalized recommendations:
“We've always based our customer service on a patient, empathetic point of view because a lot of people purchase for important moments in their lives—weddings, deaths, graduations. People are gifting in response to big life moments, so we need AI Agent to really listen to our customer’s situation and support them,” says Michael Holcombe, Co-owner and Director of Operations at Caitlyn Minimalist.
AI Agent can also handle objections and offer discounts, if price is what’s stopping customers from completing a purchase.
We’re not talking about reducing headcount. AI just supports agents in being able to handle their core responsibilities better. For example, mybacs was able to double the number of tickets they resolved without adding a single person to the team.
“This isn’t a matter of eliminating jobs, but giving our employees their primary jobs back," says Luke Wronski, CEO of RiG’d Supply. “Our hope is to have AI give us the time back to have a conversation with you about the stuff that keeps us stoked to do what we do.”
Aside from saving money on hiring additional human agents, AI helps your support team reduce costs in other ways.
For Dr. Bronners, that meant 4 days per month in team time-savings by handling routine inquiries efficiently, and $100,000 saved per year by switching from Salesforce to Gorgias.
Gorgias is hands down the best AI tool—not just for CX, but also for teams like web, ecommerce, and marketing. And our customers couldn’t agree more.
“We were hesitant at first, but AI Agent has really picked up on our brand’s voice. We’ve had feedback from customers who didn’t even realize they were talking to an AI,” says Lynsay Schrader, Lab and Customer Service Senior Manager at Jonas Paul Eyewear.
Here’s a complete rundown of how Gorgias’s AI Agent bridges gaps in customer experience:
Pain Point |
AI Agent |
---|---|
Limited working hours |
Operates 24/7 so customers don’t have to wait for a response. |
Juggling multiple conversations at once |
Can chat with as many customers as needed, and even remembers details within the same conversation. |
Answering repetitive questions |
Resolves frequently asked questions in seconds, freeing agents to focus on more complex requests. |
Limited time/lack of opportunity to provide proactive support |
Suggests solutions before customers encounter problems, uses advanced analytics to assess shopper intent, and adjusts strategies to nudge customers toward the checkout. |
Engaging customers with personalized messages |
Uses AI-powered intent scoring that evaluates user behavior, engagement, and responses in real-time to tailor responses, and sales strategy, and predict purchase likelihood. |
Using on-brand language across the team |
Consistently speaks in your brand’s tone of voice using Guidance and internal documents. |
Not enough time to focus on sales |
Engages customers with conversation starters, overcomes sales objections with recommendations, and guides users to purchase decisions with context-aware communication. |
A hybrid human and AI Agent approach is the best way to level up your customer support operations and sales strategy.
Book a demo with us to see the power of AI Agent.
TL;DR:
AI is no longer a futuristic concept associated with sci-fi movies and robots. It’s driving real change in ecommerce right now. Currently, 84% of ecommerce businesses list AI as their top priority. And it’s only getting bigger. By 2034, the ecommerce AI market is expected to hit $62.64 billion.
Brands that use AI to improve personalization, automate customer support, and refine pricing strategies will have a major competitive edge.
The good news? Most brands are still figuring it out, which means there’s huge potential for early adopters to stand out.
Let’s dive into the key AI trends shaping ecommerce in 2025, and how you can use them to future-proof your business.
Instead of searching for keywords, shoppers can upload a photo and instantly find similar or matching products. Visual search eliminates the guesswork of finding the right words to describe an item and reduces friction in the search process.
In 2025, improvements in computer vision and machine learning will make visual search faster. AI will better recognize patterns, colors, and textures, delivering more precise results in real-time.
For customers, visual search simplifies product discovery while brands benefit from increased average order values. Visual search creates more opportunities to surface related products that customers might miss during manual searches, ultimately boosting conversion and revenue.
Pinterest is already doing it. With Pinterest Lens, users can take a picture on the spot to find similar products or ideas to help them with easier purchases or creative projects.
Pro Tip: Optimize product images and metadata (like color, size, and material) so your products appear accurately in visual search results. Clean, high-quality images and detailed tagging will make your catalog easier for AI to process and match.
Conversational AI, like Gorgias’s AI Agent, already handles 60% of customer conversations. Brands that adopt it often see more than a 25% improvement in customer satisfaction, revenue, or cost reduction.
Soon, advanced natural language processing (NLP) will make it easier for customers to use text, voice, and images to find exactly what they’re looking for. These multimodal capabilities will elevate support conversations, resulting in fewer abandoned carts and support teams that can focus on more complex issues.
For example, Glamnetic uses AI Agent to manage customer inquiries across multiple channels, resolving 40% of requests automatically while maintaining a personalized touch. Their AI can automate responses to common questions, recommend products based on browsing history, and even track orders in real-time.
Pro Tip: Invest in AI chat tools that integrate with your customer support system and sync with real-time product and order data. Your responses will be accurate and timely, without losing the personal touch.
Read more: The Gorgias & Shopify integration: 8 features your support team will love
According to McKinsey, omnichannel personalization strategies, including tailored product recommendations, have a 10-15% uplift potential in revenue and retention. But with only 1 in 10 retailers fully implementing personalization across channels, there’s a massive opportunity for brands to innovate.
In 2025, AI-driven product recommendations will become even more precise by analyzing customer behavior, preferences, and purchase history in real-time. Predictive AI will adjust recommendations on the fly, showing customers the right products at the right moment.
Take Kreyol Essence as an example. They use Gorgias Convert to track customer behavior and recommend products based on past purchases and browsing patterns. When a customer buys a hair mask, AI suggests complementary products like scalp oil or leave-in conditioner — increasing average order value without feeling pushy.
Personalization boosts sales by helping customers discover products they actually want. Plus, it creates a more tailored shopping experience, which encourages customers to return.
Pro Tip: Test different recommendation strategies, like “frequently bought together” or “you may also like,” to see which ones drive the most conversions.
Learn more: Reduce Customer Effort with AI: A Smarter Approach Than Surprise and Delight
In 2025, more customers may use smart speakers and voice assistants like Alexa and Google Assistant to shop hands-free. AI will improve voice recognition and contextual understanding, so it’s easier for customers to find products they want.
Instead of fumbling with a keyboard, customers will be able to say, “Order more coffee pods,” and AI will not only recognize the request but also pull up the preferred brand and size based on past orders. Less friction will make the buying process more intuitive, especially for repeat purchases.
Voice commerce expands shopping accessibility and creates a more convenient experience for busy customers. It also opens the door for brands to surface product recommendations and upsell during the conversation.
Pro Tip: Optimize product descriptions and catalog structure for voice search. Clear, simple language and detailed product tags will help AI understand and surface the right products.
A recent McKinsey report suggests that investing in real-time customer analytics will continue to be key to adjusting pricing and more effectively targeting customers.
In 2025, machine learning will allow ecommerce brands to adjust product prices instantly based on demand, competitor pricing, and customer behavior. If a competitor drops their price on a popular item, AI can respond immediately, so you stay competitive without sacrificing margins.
Machine learning will also refine pricing models over time, finding the sweet spot between profitability and customer conversion.
For example, AI might detect that customers are more likely to buy a product when it’s priced at $29.99 rather than $30, and adjust accordingly. More competitive pricing means higher revenue and better margins, but it also increases customer trust when prices are consistent with market trends.
Pro Tip: Test different pricing strategies and monitor how they affect sales and customer behavior.
According to McKinsey, AI-driven personalization and customer insights can improve marketing efficiency by 10-30% and cut costs significantly.
In 2025, AI will analyze customer data like purchase history, browsing patterns, and feedback to generate smarter, more actionable next steps. Instead of guessing what customers want, brands will have the data to predict it.
For example, Gorgias’s AI Agent for Sales can identify a shopper’s interest level and purchase intent and then use it to adjust its conversational strategy. It analyzes shopper data like browsing behavior, cart activity, and purchase history.
Here’s how it would behave for different customers:
AI-driven personalization leads to a 5-10% higher customer satisfaction and engagement. Yet, only 15% have fully implemented it across all channels — leaving a huge gap to fill.
In 2025, AI-driven personalization will go beyond product recommendations. Brands will be able to adjust website layouts based on customer preferences, highlight products that align with their style, and even customize customer service interactions.
A higher level of personalization will boost conversion rates and customer satisfaction. When customers feel like a brand “gets” them, they’re more likely to make a purchase and come back for more.
For example, AI Agent for Sales can adjust discounts and provide smart incentives to drive sales. When adjusting for discounts, AI Agent analyzes shopper behavior, including browsing activity, cart status, and conversation context, to offer a discount based on how engaged and ready the shopper is to buy.
Pro Tip: Use AI to test different personalization strategies and refine them based on performance data. Small adjustments, like changing product order or highlighting specific categories, can have a big impact on sales.
Keeping the right products in stock at the right time is about to get a whole lot easier. In 2025, AI will predict demand patterns and automate restocking decisions based on sales trends, seasonality, and customer behavior. Instead of manually tracking inventory, AI will handle it in real time to avoid stock issues.
For example, AI could notice a spike in orders for a specific product right before the holidays. It could then automatically increase stock levels to meet demand or scale back on items that aren’t moving as fast. Real-time tracking means fewer missed sales and less wasted inventory.
Efficient inventory management not only cuts costs but also improves the customer experience. When products are consistently available, customers are more likely to trust and stick with your brand.
Pro Tip: Implement AI-powered inventory management to sync data across all sales channels. This ensures accurate stock levels and seamless fulfillment, whether customers are shopping online or in-store.
AI makes it easier for brands to deliver a personalized and efficient shopping experience. From helping customers find products faster with visual search to automating support with conversational AI, there are plenty of opportunities for personalization.
The brands that adopt and refine these strategies now will be better positioned to meet customer expectations and stay ahead of the competition. Start by implementing conversational AI and later test some other AI trends like personalized suggestions.
Ready to see how AI can upgrade your brand? Book a demo to see AI Agent in action.
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TL;DR:
As a CX manager, your reporting is your strategic advantage. It's how you prove your team's value, identify emerging trends, and determine exactly what decisions to make.
But when creating those reports becomes time-consuming? That's when insights get buried.
With Gorgias Dashboards, you can build CX reports rooted in your business goals. Unlike standard reports, these customizable dashboards allow you to mix and match over 70 metrics and KPIs, so you can track progress on efforts like reducing your ticket backlog, boosting automation rate, and more.
In this post, we’ll tell you why CX reporting matters, how to set up Dashboards in Gorgias, and show you seven different ways to customize them based on your business needs.
With 70+ charts and metrics to choose from, there are endless ways to style your dashboard. To make it easier for you, we’ve put together seven dashboards for specific use cases.
Let’s start with the basics. This is an all-in-one dashboard for a high-level overview of support and agent performance.
Recommended metrics to track:
Trying to bump up your CSAT score? This dashboard will help you improve customer satisfaction by keeping metrics related to response time and customer sentiment in your line of sight.
Recommended metrics to track:
Make sure to add a filter for customer satisfaction scores of 1-2 stars to dig into the reasons for low scores. Go to Add Filter > Satisfaction score > check 1 and 2 stars, as shown below:
What to look out for:
Peak seasons are the ultimate test of how robust your customer support organizational structure is, and nowhere is it more obvious than in your chat tickets. Without well-trained agents and proper automations in place, it’s easy to drown. Here’s a dashboard to keep up with chat inquiries.
Recommended metrics to track:
Don’t forget to toggle the filter for the chat channel by clicking Add Filter > Channel > Chat.
What to look out for:
Maybe you’re in this rut: You’ve established your SLAs (service level agreements), but your team is struggling to meet them. What now?
Go back to the data. With this SLA compliance dashboard, you can look at exactly how many tickets have breached or achieved SLAs while monitoring agent performance. This dashboard is ideal for brands that provide warranties and/or limited-time return windows.
Recommended metrics to track:
You may find that breached SLAs are caused by certain topics (like refunds) or channels (like social media). Dive deeper by adding a filter for contact reason and channel. Click Add Filter > Contact Reason / Channel.
What to look out for:
Constant returns and refund requests are issues you want to address immediately. Looking at return reasons per customer is inefficient. Instead, get the bigger picture with a dashboard that highlights customer sentiment and product data.
Recommended metrics to track:
Pro Tip: This dashboard works best if you have a Ticket Field for Contact Reason and Return as a Contact Reason. Then you can add a filter for return-related tickets by clicking Add Filter > Contact Reasons > Return.
What to look out for:
Related: 12 ways to upgrade your data and trend analysis with Ticket Fields
From food and beverage to skincare brands, product quality is central to your success. Use this dashboard to keep an eye on how customers feel about your products, then use the data to implement changes customers actually want.
Recommended metrics to track:
You can analyze specific customer sentiments (like tickets that only say “too salty”) by applying a filter. For example, you would click Add Filter > Ticket Field Filters > Flavor > Too Salty.
What to look out for:
More and more customers are using social media apps to shop — in fact, the global social commerce market is projected to grow by 31.6% each year through 2030. The best way to give browsers a good first impression of your brand is by prioritizing social media support.
Recommended metrics to track:
Don’t forget to apply a filter for your social media platforms by clicking Add Filter > Channel > Facebook / Instagram / TikTok Shop.
What to look out for:
You can create up to 10 dashboards. Here’s how to create a new dashboard:
Try it for yourself with our interactive tutorial:
With Gorgias Dashboards, CX managers have full control over their reporting.
By tracking the right KPIs and customizing dashboards based on goals, your team can set the standard for flawless customer support.
Find out the power of custom dashboards in Gorgias. Book a demo now.
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TL;DR:
Chargebacks are more than a thorn in a merchant’s side — they’re a growing financial and operational threat. According to Ethoca, chargebacks are projected to more than double, from $7.2 billion in 2019 to $15.3 billion by 2026 in the U.S. alone. And while fraud plays a role, the primary reason customers file chargebacks is simpler: they feel ignored.
At Chargeflow, we recently published a comprehensive report analyzing why customers dispute chargebacks. The findings were eye-opening. While it’s true that fraud is a real concern, most chargebacks happen for a different reason: a lack of communication between merchants and customers.
Top stats from Chargeflow’s report:
When customers feel ignored or frustrated, they often turn to their bank for a solution instead of reaching out to the merchant first. Understanding these behaviors is key to preventing disputes before they escalate and cause chaos.
So, what actually drives customers to dispute charges? Here’s what the data says.
While chargebacks are often the cost of doing business, the truth is that many disputes are preventable — but only if merchants understand the root causes. We identified five key drivers behind chargebacks.
According to our research, most customers file a dispute right away after encountering an issue, leaving no opportunity to resolve the problem. Another 38% file within one to three days if they don’t receive a timely response.
Why? Customers assume the fastest way to get their money back is by filing a chargeback, especially if they receive no response from the merchant.
We found that 80% of customers never receive a follow-up after filing a chargeback. Additionally, 64% of customers state immediate communication is crucial, yet many businesses fail to reach out.
Why? Customers expect businesses to be proactive. When they don’t hear back quickly, they assume the merchant won’t help, making a chargeback seem like the best option.
98% of customers report a neutral to highly satisfactory experience when filing chargebacks, and only 12% are denied.
Why? Many customers believe chargebacks are faster and easier than dealing with merchants directly, especially if return policies are unclear.
The most common reason for filing a chargeback is “product not received” (35% of the cases). Other common reasons included:
Why? When customers don’t receive clear shipping updates or experience delivery delays, they assume their order won’t arrive and file a chargeback rather than waiting.
Friendly fraud occurs when a cardholder makes a legitimate purchase but later disputes the charge as fraudulent or unauthorized, leading their card issuer to reverse the payment.
Our research found that:
According to our State of Chargebacks report, 79% of chargebacks are actually friendly fraud, meaning they were filed for invalid reasons.
Why? Many customers mistakenly believe that a chargeback is just another way to request a refund, rather than a process intended for fraud or merchant failure.
📌 The takeaway: Most chargebacks aren’t actual fraud, but rather a result of customer confusion, impatience, or poor communication from merchants.
Merchants who want to stop chargebacks before they happen need a two-part strategy:
Chargebacks result from slow response times, poor communication, and unresolved issues, not fraud. Adopting AI-driven customer support and chargeback automation allows businesses to significantly reduce disputes and retain more revenue.
Many chargebacks happen because customers don’t receive a fast enough response. In fact, 52% say they will dispute a charge if the response time is too slow. AI-powered chatbots provide real-time support, resolving issues before they escalate.
Customers expect updates regarding orders and refunds, but often don’t receive them. 80% of customers report never hearing from a merchant after filing a chargeback.
Automated order updates, refund confirmations, and proactive notifications keep customers informed, reducing unnecessary disputes.
Customers expect round-the-clock support, but most businesses can’t provide live assistance. AI-powered ticketing and automation ensure every customer receives help, regardless of the time zone or urgency.
The result? Fewer chargebacks, faster resolutions, and increased customer satisfaction.
It’s impossible to please every customer. On average, chargebacks take 50 days to resolve successfully. Focus your energy on retaining high-value, long-term customers.
Lost inquiries take on average 15 days to resolve, and lost chargebacks take 38 days. Prioritize cases based on impact.
Advanced automated ticketing systems can route inquiries and prioritize urgent cases.
Ensure customer service teams have quick-response templates to speed their resolutions.
“Product not received” was the most cited reason for delivery-related chargebacks. Work closely with carriers and third-party suppliers to improve fulfillment and reduce disputes.
Use automated tools for real-time analytics, enhanced communication, and proactive alerts, which will reduce response times.
Successfully tackling chargebacks requires both proactive customer support and automated dispute management. That’s why Gorgias and Chargeflow work so well together to give merchants a comprehensive defense against disputes.
Post-purchase automation isn’t just about reducing customer support workload or quick replies. It's about finding the most effective ways to increase customer loyalty and prevent disputes.
Learn more about how AI-driven automation enhances post-purchase experiences here.
As you know, chargebacks are costly, frustrating, but most importantly, preventable. Our research shows that most chargebacks don’t stem from fraud, but from poor communication, slow response times, and customer uncertainty.
By prioritizing fast, AI-driven customer support and automated chargeback management, merchants can resolve issues before they escalate, improve customer experience, and protect their revenue.
With Gorgias handling proactive customer support and Chargeflow managing chargeback disputes, merchants get a powerful, end-to-end prevention system that ensures fewer chargebacks, higher dispute win rates, and, at the end of the day, happier customers.
Don’t let chargebacks drain your revenue. Take control today with faster, smarter automation.
Download Chargeflow’s full Psychology of Chargebacks Report to dive deeper into the data and start preventing disputes before they happen.
TL;DR:
Shoppers aren’t just open to AI — they’re starting to expect it.
According to IBM, 3 in 5 consumers want to use AI as they shop. And a McKinsey study found that 71% expect personalized experiences from the brands they buy from. When they don’t get that? Two-thirds say they’re frustrated.
But while most brands associate AI with support automation, its real power lies in something bigger: scaling personalization across the entire customer journey.
We’ll show you how to do that in this article.
Before AI can personalize emails, recommend products, or answer support tickets, it needs one thing: good data.
That’s why one of the best places to start using AI isn’t in sales or support — but in enriching your customer data. With a deeper understanding of who your customers are, what they want, and how they behave, AI becomes a personalization engine across your entire business.
Post-purchase surveys are gold mines for understanding customers — but digging through the data manually? Not so fun.
AI can help by analyzing survey responses at scale, identifying trends, and categorizing open-ended customer feedback into clear, actionable insights. Instead of skimming thousands of answers to spot what customers are saying about your shipping times, AI can surface those insights instantly — along with sentiment and behavior signals you might’ve missed.
Try this prompt when doing this: "Analyze 500 open-ended post-purchase survey responses. Identify the top 5 recurring themes, categorize customer sentiment (positive, neutral, negative), and surface any trends related to product quality, delivery experience, or customer support."
One of AI’s biggest strengths? Spotting intent.
By analyzing things like page views, cart activity, scroll behavior, and previous purchases, AI can identify which shoppers are ready to buy, which ones are likely to churn, and which just need a little nudge to move forward.
This doesn’t just apply to email and retargeting. It also works on live chat, in real time.
Take TUSHY, for example.
To eliminate friction in the buying journey, TUSHY introduced AI Agent for Sales — a virtual assistant designed to guide shoppers toward the right product before they drop off.
Instead of letting potential customers bounce with unanswered questions, the AI Agent steps in to offer:
With a growing product catalog, TUSHY realized first-time buyers were overwhelmed with options — and needed help choosing what would work best for their home and hygiene preferences.
“What amazed us most is that the AI Agent doesn’t just help customers choose the perfect bidet for their booty — it also provides measurement and fit guidance, high-level installation support, and even recommends all the necessary spare parts for skirted toilet installations. It’s ushering in a new era of customer service — one that’s immediate, informative, and confidence-boosting as people rethink their bathroom habits.”
—Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY
AI also helps you see the road ahead.
Instead of looking at retention and loyalty metrics in isolation, AI can help you forecast what’s likely to happen next and where to focus your attention.
By segmenting customers based on behaviors like average order value, order frequency, and churn risk, AI can identify revenue opportunities and weak spots before they impact your bottom line.
All you need is the right prompt. Here’s an example you can run using your own data in any AI tool:
Prompt: “Analyze my customer data to forecast revenue by segment. Break customers into at least three groups based on behavior patterns like average order value, purchase frequency, and churn risk.
For each segment, provide:
Here’s what a result might look like:
Instead of flying blind, you’re making decisions with clarity — and backing them with data that scales.
When used strategically, AI becomes a proactive sales agent that can identify opportunities in real-time: recommending the right product to the right shopper at the right moment.
Here’s how ecommerce brands are using AI to drive revenue across every part of the funnel.
Your prices shouldn’t be static — especially when your competitors, inventory, and customer behavior are anything but.
AI-powered pricing tools like AI Agent for Sales help brands automatically adjust pricing based on shopper behavior. The goal is to make the right offer to the right customer.
For example:
With dynamic pricing, you can protect your margins and boost conversions — without relying on blanket sales.
AI-powered chat is no longer just a glorified FAQ. Today, it can act as a real-time shopping assistant — guiding customers, boosting conversions, and helping your team reclaim time.
That’s exactly what Pepper did with “Penelope,” their AI Agent built on Gorgias.
With a rapidly growing product catalog (22 new SKUs in 2024 alone), Pepper knew shoppers needed help discovering the right products. Customers often had questions about styles, materials, or sizing, and if they didn’t get answers right away, they’d abandon carts and move on.
Instead of hiring more agents to keep up, Pepper deployed Penelope to live chat and email.
Her job?
“With AI Agent, we’re not just putting information in our customer’s hands; we’re putting bras in their hands... We’re turning customer support from a cost center to a revenue generator.”
—Gabrielle McWhirter, CX Operations Lead at Pepper
Let’s look at how Penelope performs on the floor:
A shopper asked about the difference between two wire-free bras. Penelope broke down the styles, support level, and fabric in plain language — then followed up with personalized suggestions based on the shopper’s preferences.
Using Gorgias Convert chat campaigns, Pepper triggers targeted messages to shoppers based on behavior. If someone is browsing white bras? Penelope jumps in and offers assistance, often leading to faster decisions and fewer abandoned carts.
If a customer adds a swimsuit top to their cart, Penelope suggests matching bottoms. No full-screen popups, no awkward sales scripts — just thoughtful, helpful guidance.
Penelope also handles WISMO tickets and return inquiries. If a shopper is dealing with a sizing issue, Penelope walks them through the return process and links to Pepper’s Fit Guide to make sure the next purchase is spot on.
By implementing AI into chat, Pepper saw a 19% conversion rate from AI-assisted chats, an 18% uplift in AOV, and a 92.1% decrease in resolution time.
With Penelope handling repetitive and revenue-driving tasks, Pepper’s team now has more time to offer truly personalized touches — like virtual fit sessions that have turned refunds into exchanges and even upsells.
Bundling is a proven tactic for increasing AOV — but most brands still rely on subjective judgment calls or static reports to decide which products to group.
AI can take this a step further.
Instead of just looking at what’s bought together in the same cart, AI can analyze purchase sequences. For example, what people tend to buy as a follow-up 30 days after their first order. This gives you powerful clues into natural buying behavior and bundling opportunities you might’ve missed.
If you’re looking to explore this at scale, you can use anonymized sales data and feed it into AI tools to surface patterns in:
Try this prompt:
"Analyze this spreadsheet of order data and identify product bundle opportunities. Look for: (1) products frequently purchased together in the same order, (2) items commonly bought as a second purchase within 30 days of the first, and (3) patterns in high-value or high-frequency product pairings. Provide insights on the most promising bundles and why they might work well together."
Just make sure you’re keeping customer data anonymous — and always double-check the insights with your team.
Related: Ecommerce product categorization: How to organize your products
AI isn’t just here to deflect tickets. From quality assurance to proactive outreach, AI can elevate the entire support experience — on both sides of the conversation.
Manual QA is slow, selective, and often feels like it’s chasing the wrong tickets.
That’s where Auto QA comes in. Instead of reviewing just a handful of conversations each week, Auto QA evaluates 100% of private messages, whether they’re handled by a human or an AI agent.
Every message is scored on key metrics like:
It gives support leaders a full picture of how their team is performing, so they can coach with clarity, not just gut feeling.
Here’s what brands can do with automated QA:
Let’s walk through a real example.
Customer: “Hi, my device broke, and I bought it less than a month ago.”
Agent: “Hi Kelly, please send us a photo or a video so we can determine the issue with your device.”
Auto QA flags this interaction with:
Reactive support is table stakes. AI takes it a step further by anticipating issues before they happen — and proactively helping customers.
Let’s say login errors spike after a product update. AI detects the surge and automatically triggers an email to affected customers with a simple fix. No need for them to dig through help docs or wait on chat — support meets them right where they are.
Proactive AI can also be used for:
This saves the time of your agents because the AI will spot problems before they turn into tickets.
Your customers are telling you what they think. AI just helps you hear it more clearly.
By analyzing reviews, support tickets, post-purchase surveys, and social comments, AI can spot sentiment trends that might otherwise fly under the radar.
For example:
Related: 12 ways to upgrade your data and trend analysis with Ticket Fields
Whether you’re enriching customer data, making smarter product recommendations, triggering dynamic pricing, or proactively resolving support issues, AI gives your team the power to scale personalization without sacrificing quality.
With Gorgias, you can bring many of these use cases to life — from AI-powered chat that drives conversions to automated support that still feels human.
And with our app store, you can tap into additional AI tools for data enrichment, direct mail, bundling insights, and more.
Personalized ecommerce doesn’t have to mean more work. With the right AI tools in your corner, it means smarter work — and better results.
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TL;DR:
AI is everywhere in customer service—powering live chats, drafting responses, and handling inquiries faster than ever.
But as AI takes on more of the customer experience, one question keeps coming up: Should brands tell customers when they’re talking to AI?
Legally, the answer depends on where you operate. Ethically? That’s where things get interesting. Some argue that transparency builds trust. Others worry it might undermine confidence in support interactions.
So, what’s the right move?
This guide breaks down the debate and gives CX leaders a framework to decide when (and how) to disclose AI—so you can strike the right balance between innovation and trust.
Depending on where your business operates, disclosure laws may be strict, vague, or nonexistent. Some laws, such as the California Bolstering Online Transparency Act, prohibit misleading consumers about the use of automated artificial identities.
For maximum legal protection, it’s best to proactively disclose AI use—even when not explicitly required.
A simple disclaimer can go a long way in avoiding legal headaches down the line. Here’s how to disclose AI use in customer interactions:
Truthfully, AI laws are evolving fast. That’s why we recommend consulting legal counsel to ensure your disclosure practices align with the latest requirements in your region.
But beyond avoiding legal trouble, transparency around AI usage can reinforce customer trust. If customers feel deceived, they may question the reliability of your brand, even if the AI delivers great service.
Related reading: How AI Agent works & gathers data
Research shows that 85% of consumers want companies to share AI assurance practices before bringing AI-driven products and experiences to market.
But what does “transparency” actually mean in this context? An article in Forbes broke it down, explaining that customers expect three key things:
How you disclose AI matters just as much as whether you disclose it. At the end of the day, AI isn’t inherently good or bad—it’s all about how it’s implemented and trained.
The way a brand approaches AI disclosure can impact trust, satisfaction, and even conversion rates—making it a decision that goes beyond simple legal requirements.
While some customers appreciate honesty, others may hesitate if they prefer human support. Brands must weigh the pros and cons to determine the best approach for their audience.
Let’s be honest: AI in customer service still carries baggage. While some consumers embrace AI-driven support, others hear "AI" and immediately picture frustrating, robotic chatbots that can’t understand their questions.
This is one of the biggest risks of transparency: customers who’ve had bad AI experiences in the past may assume the worst and disengage the moment they realize they’re not speaking to a human.
For brands that thrive on personal connection and high-touch service, openly stating that AI is involved could create skepticism or drop-off rates before customers even give it a chance.
Another challenge? The perception gap.
Even if AI is handling inquiries smoothly, some customers may assume it lacks the empathy, nuance, or problem-solving skills of a live agent. Certain industries may find that transparency about AI use leads to more escalations, not fewer, simply because customers expect a human touch.
Despite the risks, transparency about AI can actually be a trust-building strategy when handled correctly.
Customers who value openness and ethical business practices tend to appreciate brands that don’t try to disguise AI as a human.
Being upfront also manages expectations. If a customer knows they’re speaking to AI, they’re less likely to feel misled or frustrated if they encounter a limitation. Instead of feeling like they were "tricked" into thinking they were talking to a human, they enter the conversation with the right mindset—often leading to higher satisfaction rates.
And then there’s the long-term brand impact.
If customers eventually realize (through phrasing, tone, or inconsistencies) that they weren’t speaking with a human when they thought they were, it can erode trust.
Deception—whether intentional or not—can backfire. Proactively disclosing AI use prevents backlash and reinforces credibility, especially as AI becomes a bigger part of the customer experience.
Arcade Belts, known for its high-quality belts, wanted to improve efficiency without compromising customer experience. By implementing Gorgias Automate, they reduced their reliance on manual support, creating self-service flows to handle common inquiries.
Initially, automation helped manage routine questions, such as product recommendations and shipping policies. But when they integrated AI Agent, they cut their ticket volume in half.
The transition was so seamless that customers often couldn’t tell they were interacting with AI. “Getting tickets down to just a handful a day has been awesome,” shares Grant, Ecommerce Coordinator at Arcade Belts. ”A lot of times, I'll receive the response, ‘Wow, I didn't know that was AI.”
You can read more about how they’re using AI Agent here.
We mentioned it earlier, but deciding whether or not to disclose your use of AI in customer support depends on compliance, customer expectations, and business goals. That said, this four-part framework helps CX leaders evaluate the right approach for their brand:
Before making any decisions, ensure your brand is compliant with AI transparency regulations.
AI transparency should align with your brand’s values and customer experience strategy.
Rather than making assumptions, run controlled tests to see how AI disclosure affects customer satisfaction.
AI strategies shouldn’t be static. As customer preferences and AI capabilities evolve, brands should refine their approach accordingly.
If you decide to be transparent about AI in customer interactions, how you communicate it is just as important as the disclosure itself. Let’s talk about how to get it right and make AI work with your customer experience, not against it.
AI doesn’t have to sound like a corporate FAQ page. Giving it a personality that aligns with your brand makes interactions feel natural and engaging. Whether it’s playful, professional, or ultra-efficient, the way AI speaks should feel like a natural extension of your team, not an out-of-place add-on.
Instead of:
"I am an automated assistant. How may I assist you?"
Try something on-brand:
"Hey there! I’m your AI assistant, here to help—ask me anything!"
A small tweak in tone can make AI feel more human while still keeping transparency front and center.
Read more: AI tone of voice: Tips for on-brand customer communication
One of the biggest mistakes brands make? Leaving customers guessing whether they’re speaking to AI or a human. That uncertainty leads to frustration and distrust.
Instead, be clear about what AI can and can’t do. If it’s handling routine questions, product recommendations, or order tracking, say so. If complex issues will be escalated to a human agent, let customers know upfront.
Framing matters. Instead of making AI sound like a replacement, position it as a helpful extension of your support team—one that speeds up resolutions, but hands off conversations when needed.
Even the best AI has limits—and customers know it. Nothing is more frustrating than a bot endlessly looping through scripted responses when a customer just needs a real person to step in.
AI should be the first line of defense, but human agents should always be an option, especially for high-stakes or emotionally charged interactions.
A smooth handoff can sound like:
"Looks like this one needs a human touch! Connecting you with a support expert now."
AI disclosure doesn’t have to feel like an apology. Instead of focusing on limitations, highlight the benefits AI brings to the experience:
It’s the difference between:
"This is an AI agent. A human will follow up later."
vs.
"I’m your AI assistant! I can answer most questions instantly—but if you need extra help, I’ll connect you with a team member ASAP."
The right framing makes AI feel like an advantage, not a compromise.
AI perception isn’t static. Regularly analyzing sentiment data and customer feedback can help refine AI messaging over time—whether that means adjusting tone, improving explanations, or updating how AI is introduced.
When you follow these best practices, AI can be a real gamechanger for your customer support. Just take it from Jonas Paul…
Jonas Paul Eyewear, a direct-to-consumer brand specializing in kids' eyewear, needed a way to manage high volumes of tickets during the back-to-school season without overwhelming their customer care team.
To streamline these conversations, Jonas Paul implemented AI Agent to provide instant responses to FAQs. This allowed human agents to focus on more complex cases that required personalized attention.
“Being able to automate responses for things like prescription details and return policies has allowed us to focus more on the nuanced questions that require more time and care. It’s been a game changer for our team,” said Lynsay Schrader, Lab and Customer Service Senior Manager and Jonas Paul.
Jonas Paul saw a 96% decrease in First Response Time and a 2x ROI on Gorgias’s AI Agent with influenced revenue. You can dive in more here.
Whether or not your brand chooses to disclose AI in customer interactions, the key is to ensure AI enhances the customer experience without compromising transparency, accuracy, or brand identity.
So how can you get started? Gorgias AI Agent was built with both effectiveness and transparency in mind.
For every interaction, AI Agent provides an internal note detailing:
Excited to see how AI Agent can transform your brand? Book a demo.
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The Covid-19 pandemic has dramatically accelerated the move from offline to online in retail. This got us busier than ever supporting our merchants, new and old, to ensure we help them work towards providing exceptional customer service.
The latest example of this is Black Friday and Cyber Monday, where Shopify saw an uptick of 75% GMV when compared to last year.
As a result of this huge ecommerce spike, 2020 has been a massive year for Gorgias.
At the beginning of the year, we had just 30 people on our team and now, we’re sitting at over 100 incredible people working each and every day to help serve 5,000+ merchants.
The reason our team grew so much this year is to support the growth of our merchants.
Throughout the year, order volume has massively increased and therefore, lots of customers have been contacting businesses through customer service. We went from having 2 million support requests a month on Gorgias to 6 million during the holiday season.
So today, we’re announcing a $25m series B lead by Rajeev Dham at Sapphire Ventures, with participation of Jason Lemkin (SaaStr), François Meteyer (Alven) and other historic investors.
We want to accelerate our progress towards our mission to transform support from painful to exceptional for merchants.
We asked our merchants and learned that they have the following needs: first they want their support to be fast and high quality, then they want to optimize their cost, and once they’ve done that, they are willing to shift the way they think about support to make it a profit center.
In 2021, we want to focus on the top questions our merchants are getting, which account for 60% of the support volume. By empowering support agents to respond faster to these frequent questions, we’re aiming at reducing first response time for our merchants and at increasing the quality of their support. This will free up agents time so that they can focus more on the more complex questions their customers are asking.
You can learn more about our next quarter roadmap here.
Looking further ahead into the future, our goal is to change the role of support from responding to customers’ issues to helping the business grow.
2021 is going to be a new chapter for us. With this round, we’re going to double our team to 200 people across all our hubs, in San Francisco, Belgrade, Paris, Charlotte, Toronto and Sydney.
If you’d like to join the adventure and help us improve the daily lives of 3 million support agents in the US (and more worldwide), we’re hiring aggressively in all these locations.
I want to thank our amazing team for helping build a company that has an impact on 60 million customers yearly, and the 5000 merchants who’ve decided to use our product every day.
The adventure continues, we’re more excited than ever!
Alex & Romain
Your eCommerce business has proven to be successful and may have encountered growth limits. The natural next step is to expand, either by gaining more sales in your current market or moving into a new one. This can be done by creating new products, moving to a larger office, buying new technology, hiring additional staff—essentially taking all of the steps needed to set your store up for success.
However expanding an eCommerce business carries with it opportunities for both growth and failure, and it takes a lot of energy and resources to get it right. Passion and confidence are excellent, but they aren’t the only ingredients that go into growing an eCommerce business.
For this venture to succeed, you need a great business plan. In this article, we go through every step of the process so that by the end you will completely understand how to write a great business plan for expanding your eCommerce store.
Let’s start with the basics: Think of your business plan as fulfilling the role of a road map. Naturally, it can’t predict real-life variables flawlessly but it can establish a contingency plan for a wide range of situations. This will identify problems, how to overcome them and show lenders, potential partners or investors where your business is headed.
Your business plan will also explain what the market opportunity is, growth projections, and other important milestones. Basically, this is the document where you state what you want to accomplish and how you will accomplish it.
The business world can be harsh and unforgiving. About 45% of businesses fail in the first five years and only 25% of them are still operating after ten years. If you are going to expand your eCommerce business so that it is thriving in new markets and selling out new product lines, you need to utilize every beneficial tool and resource.
A good business plan sets you up for this type of success right from the beginning. Creating one isn’t the only factor that contributes to success, but data shows startups with a business plan grow 30% faster, are twice as likely to secure funding and succeed 16% more often.
Even though an eCommerce business plan is a complex document, writing one doesn’t have to be an intimidating process.
Below, we list out every factor that should be taken into account as you work to draft a successful business plan for expanding your business.
The executive summary is the last part you will write, but the first section that anyone reading your business plan will see. As the preface, it is basically a one-page synopsis that summarizes almost every important detail. It should grab your reader’s attention and convince them it’s worth their time to read the entire document.
Below is the basic information that you should include in your executive summary:
Describe all your of your products, new and old, explaining their key benefits and features. They need to address a need that customers have or opportunities in the market. You should also show how they differ from competitor’s products and highlight why potential customers will choose your product over the other options on the market.
A monetization strategy is a detailed plan about how to generate revenue for your products. In this section, describe three or four of the main strategies you intend to implement to market your products to your target audience.
Define your specific target market by including information like market size data, growth rate, customer segmentation, and market structure. You should also explain the characteristics of the ideal people to whom you intend to sell your eCommerce products.
A company overview will include vital details about your eCommerce business. It will describe the size of your company, how many more staff you plan on hiring, what you want to achieve and where it is located. It is typically the second section and appears after the executive summary.
You should include the following elements when writing the company overview section of your business plan:
List out your key players in the team section of your business plan. This might include everyone from the C-level executives to the HR representatives and the new positions you plan to hire for. Make sure you paint a picture of your team that showcases their professionalism and finest skills.
In the company structure section, you should provide information about how your company is organized. The most common business structures are sole proprietorship, LLC, S Corporation, or partnership. If required, it will also discuss how your business structure will change.
The mission statement serves as an existential justification for why your business has been created. In a few sentences, you explain why you exist, and what you strive to accomplish. In addition to serving as a brief explanation of your business to readers, the mission statement can also serve as an internal reminder of your company’s values—one that could potentially shape decisions in the future.
This section should demonstrate both your expertise and provide a thorough analysis of your current market. If you plan on tapping into a new market, it should also be analyzed.
When you craft this part of your business plan, you should have a significant understanding of who operates in the space you have taken an interest or are currently in—both in terms of competition and consumers. This includes potential customer segments, the value and volume of the market, who your competitors are and what their challenges and successes have been.
Let’s look at these in more detail:
It’s essential that you understand who your target market is, and never assume that everyone will want to buy your products. In this section, you will provide readers with your current and and new target buyers’ demographic data so that they understand who customers are or will be. You can use this research to create a customer profile, using information such as their education, income level, gender, lifestyle preferences and age.
The market size refers to how many people are shopping and purchasing products from your niche. This will also depend on the scale of your expansion. For instance, if you plan on selling clothing all around the world instead of only national, you should take an international approach to assessing the size of the market. The industry market size is often a huge factor for investors that will read your business plan. You should also note if the market is declining or growing.
You want to know who is thriving in your niche, and why. For this part of your business plan, dissect your competitors, including as much information as you can gather about them. This could be everything from their weaknesses to their web traffic, to their product and pricing strategy.
The more you know about your competition, the better you will be able to position yourself to stand out.
This segment of your business expansion plan is where you share your comprehensive marketing plan. Identify how you plan to promote your new products, attract leads, and retain customers. Your marketing strategy will determine whether your expansion will have massive amounts of growth or you have none at all.
To retain customers that purchase new products at your eCommerce store, consider rewarding them through a loyalty program. Planning and outlining this from the offset will help increase your chances of accumulating a new and invaluable, solid customer base. There are different loyalty programs for you to choose from, such as point based, tier based, paid based and progress based.
Search engine optimization (SEO) is a marketing strategy that requires sustained planning and well-organized content production. Targeting keywords, producing content, building links—all for organic visibility so that your new products on your eCommerce store will appear at the top of search engines to obtain as much traffic as possible.
Print marketing may seem like a thing of the past but it can still be effective, especially when combined with digital. Direct mail marketing can drive traffic online and aid online sales when voucher codes are delivered to potential customer’s homes, for example.
Social media is a very important element of any marketing strategy and should be accounted for in your business expansion plan. It may refer to what type of social media platforms you will use, what will you share, and when you will share it. This section should also include what metrics you are going to track, such as engagement, click-through, and conversion rates.
You should plan on expanding and segmenting your email list right from the moment you list your new products so that you have a cost-effective way to communicate and promote them. This will provide your business with a dependable base of consumers that you can offer compelling deals to time and time again.
In this part of your business plan, it is time to get much more precise about your current and new products, including what you have, what you expect to have, and how you plan on handling that inventory.
Product descriptions allow you to explain your inventory to a buyer succinctly so they understand what they are getting - think benefits, not features. Product descriptions also serve as an opportunity for SEO and simply for differentiating your inventory from that of the competition.
Write down what you expect to add in the weeks, months and years to come, beyond your current expansion. This will be extremely useful information to investors when evaluating your business plan.
In this section, you will account for what is involved in your day to day operations of running your eCommerce store. It is important to demonstrate that you understand the process it takes to also buy, manufacture and deliver additional new products. This can cover a lot of ground, depending on your business model.
Is your company building its own products? If so, create a step-by-step outline on how they will be manufactured. If not, state whether you will be using a dropshipping or third party manufacturing company instead. It’s also important to acknowledge any problems that may occur. Production is a very important component of success, so be very detailed.
Here, you include how much inventory you have at any given time. It’s also important to plan for how you will store, handle, and track new product lines.
A lot of considerations factor into this very important element of your eCommerce business. Will you sell your new products to international customers? If so, how long will it take to package your products and ship them? Will a third party shipment company be necessary, or will you be able to handle the entire process from your own physical location? These questions need to be answered.
Undoubtedly, equipment will be required for your business to operate. In this part of the business plan, you can list out what you have on hand, what you will need before you launch your new products, and what you might need as your business grows even more. You should also include the costs of your equipment.
In order to be as detailed as possible, list all types of software, hardware and machinery. This can include forklifts, computers, and other types of marketing automation that are critical to the success of certain departments within your company.
The purpose of writing a business expansion plan is to prove that your eCommerce store is and will continue to be successful. You will have the opportunity to demonstrate this by translating all the components of your business into numbers. You will then need to elaborate on these numbers in a way that makes the expansion of your store sound like a profitable venture to investors. This section is often the least favorite part of the business plan to write, but it’s inclusion is essential.
An income statement refers to your revenue streams, expenses, and profits over a certain period of time. It will show whether or not your business is profitable. If you are still in the planning stages of the expansion for your eCommerce store and the products have not yet been launched, you can model your income statement from the experiences of a similar business that is operating and selling the same products within your industry.
Here, the term break-even point refers to how much of your products you will need to sell before you can cover the costs of all your expenses. This also helps make your case for a business loan as it shows the sales level your store requires to ensure it won’t incur a financial loss.
Cash-flow statements refer to the cash that comes in and goes out, typically per-month. When your company has more cash coming in then it does going out, this is referred to as “positive cash-flow” or, in other words, profit. On the other hand, if your expenses are higher than your revenue, this is called “negative cash-flow”.
Forecasting cash-flow is very important, even if it is an imprecise practice. It allows you to prepare for a variety of different circumstances, such as a quiet season, and demonstrate how you will adapt your eCommerce business strategy accordingly.
The business plan you will write exists not just for attracting investors, but for helping you to overcome common obstacles eCommerce businesses often face while expanding. By planning ahead, you increase your chances of success and help to ensure that your business will enjoy a continued fruitful future.
By taking into account everything we have discussed in this post, you have the resources and tools needed to write a comprehensive business expansion plan.
By doing quality assurance on the support side, you’re able to see what’s working, what triggers customers and how to train your team to improve. It’s also a great tool for your team’s personal development as a support agent.
Since it’s time consuming though, everyone wants to find a way to streamline.
The good news?
Klaus can do it, and there’s officially an integration that you can use with your Gorgias account to streamline it. Klaus is a quality review tool that helps you create a perfect customer experience for buyers and potential buyers
So, how does this help with the issues you may be facing with customer support quality assurance?
Let’s dive in.
As we just talked about earlier, customer assurance can be a time sucker. You may be manually looking at transcripts and organizing everything yourself, but there’s no need to do it this way. You know at Gorgias how much we love saving you time, so here’s how to reduce that with our new Klaus integration.
By pulling conversations automatically from your helpdesk, you can get instant review samples with erases the manually part of copy and pasting transcripts. Using Klaus, there’s also manual filtering options to help you quickly, and seamlessly, find specific cases or keywords you’re looking for.
For example, say you were curious about those tickets that took several responses to solve, or ones that received negative ratings from customers, you can easily pull those up in an instant
Notifications are also automatic when it comes to using Slack or email. By setting up these notifications, you’re able to ensure that none of your support agents misses a piece of their feedback. Thus saving you time, and constant reminders, to ensure that they receive these reviews.
You all know how we love having all our data and information in one place, and Klaus is the same as Gorgias. Their dashboard which allows you to track you team’s performance over time, see the aspects of their communication they may be struggling with and looking into their quality scores (which will get into), really makes things easy.
This full overview makes things efficient for you to see the overall health of your customer support team for your ecommerce business.
On top of that, reporting efficiencies are really easy. Reporting, no matter the department, tends to take up a lot of time. With Klaus, you can have all your efforts easily viewable in the dashboard.
No matter the size of your ecommerce business or support team, you’re always going to want to know how each of your members are doing. Using customizable scorecards with Klaus you can create these to add in a rating criteria for a number of different situations (an unlimited about by the way!).
This is helpful when it comes to working with multiple teams or support channels since it allows you to efficiently track quality in as much detail as you need based on what you’d set the customizable scorecards for.
Klaus also lets you choose between different rating scales. For example, a binary thumbs up/down suit some people, while others would rather use the 3 or 5 point scoring system -- you choose what you prefer!
At Gorgias, we’re continuing to work on partnerships that will make your life easier, and Klaus is one of those that will make the difference in a critical part of your strategy. Haven’t tried Gorgias out yet? Give it a try for 7-days free and see how it can make your life more efficient and simple when it comes to your ecommerce store and customer support.
Your online store, mixed with the e-commerce helpdesk Gorgias, and topped with the quality review tool Klaus - that’s how you cook purr-fect customer experiences for your buyers.
You don’t even have to write this recipe down because we’re excited to announce that we’ve just released the native Gorgias and Klaus integration! You can now pull your customer conversations from Gorgias seamlessly into Klaus for internal support QA and provide consistent feedback to your agents.
There’s a number of reasons why Gorgias can be the best solution for your online store. And there’s a lot of sense in using it together with Klaus if you want to provide your customers with top-notch customer care.
Let’s look into the magic that you can unleash with the Gorgias and Klaus integration.
If you’re running an online store then you probably already know that e-commerce customer service is not just about helping your users. It’s about converting customers, increasing sales, and growing your business.
To reap the benefits of having a revenue-driving e-commerce support team, set your team up for success with the right tools. A regular helpdesk may be enough to give timely answers to your online visitors’ questions, but it might not reveal the full potential of each of your customer interactions.
That’s why dedicated ‘e-commerce helpdesks’ are a thing now, and why Gorgias has become so successful in this category. Here’s what sets Gorgias apart from other more generic helpdesk solutions:
Gorgias also delivers information about the customers’ previous orders and other nifty functionalities that help you turn your customer service team into a sales department - and, as a matter of fact, a very successful one.
But how can you make sure that your customer service agents actually nail every sales opportunity hiding in your support interactions? That’s where Klaus comes in.
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Klaus is a conversation review and support QA tool dedicated to helping your agents make the most out of every support interaction. It’s a platform for having a systematic insight into your customer conversations, providing consistent feedback to your agents, and gaining control over support performance.
You can’t improve your support quality if you don’t measure it. And Internal Quality Score - the metric of conversation reviews - does just that. It makes the quality of your customer service quantifiable and allows you to track and compare your team’s performance over time.
While some smaller teams prefer to manage their internal quality reviews in spreadsheets, companies like Automattic, Wistia, PandaDoc, and Geckoboard, have trusted the manual work behind support QA to Klaus. Here’s why:
Klaus is a very dynamic and customizable tool and that’s why it works well with all customer service teams. If you want to boost your online store sales results through your support team, make sure you create the respective rating categories, measure your agents’ performance in them, and give regular feedback on how to score higher.
We’re firm believers of support-driven growth and we’ve written more about building customer loyalty through customer service here. Go forth and prosper!
Your e-commerce customer service is running on Gorgias and now you want to start improving your customer service quality and drive more sales with Klaus? Can be done easily.
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Connecting your Gorgias account with Klaus is easy as one-two-three with our native integration seamlessly connecting these software solutions. To set up the connection:
There you go, you’ve built yourself a scalable way of assessing your support team’s performance and providing individual feedback to your agents with no unnecessary hassle.
The Gorgias and Klaus integration can give your customer service such an advantage that it almost sounds unfair. Poor competitors of yours!
Getting control over your support interactions and turning them into your sales reps is an art that not everyone can master. Working with the right tools is a quick shortcut to success.
We’re excited to welcome Gorgias into our extended family connected through our native integrations. Which other integrations would you like to see on our list? Share your thoughts in our online CX community The Quality Tribe.
Eli Weiss, OLIPOP’s CX team. OLIPOP is a drink that is a healthier alternative to soda and has taken the beverage industry by a storm. It has achieved great accomplishments such as generating $10,000 of sales, without any discounts, in less than 15 minutes and has over 2,500 subscribers, making up 35% of their business. Working at the frontlines of customer experience, Weiss emphasizes that a good customer service team is the key to a successful business and he imparts two important takeaways in the podcast. Subscribe to Hello Gorgias on Apple, or listen below.
It's also worth nothing that we're able to get results like these, because of our integration with Postscript for SMS marketing.
Want to try Gorgias? Use Eli's special link, and we'll send you a free case of OLIPOP.
As a special bonus, anyone who listen's to Eli's podcast episode and does a trial of Gorgias using his special link will receive a free 12 pack variety case of OLIPOP.
Customers want to feel like they are an important part of a brand – that they are helping to build the company and that they are not just going through a revolving door. They want to know that they are cared for and not just seen as a walking and talking wallet. By adding a little bit of individuality in each message, even by doing something as simple as referring to them by their first name in an email, it shows the care and consideration that the customer service team has for their clients. Although problems such as shipping estimates and an unsatisfactory drink flavour are out of the team’s control, the customer’s satisfaction is. After all, it is five to ten times easier and cheaper to retain an existing customer than it is to acquire a new one, so it is essential to keep the client base happy.
Asides from making them feel like they are an important part of the company, it is also essential to develop a long-term relationship with them and SMS is a perfect tool to do so. A lot of brands have started to abuse SMS, sending out marketing messages so frequently and without any personal touch that it pushes interested parties away. SMS is an intimate tool, allowing companies to jump into a person’s cellphone, so when it is taken for granted, customers tend to leave. Brands should not always think about the fastest way to make money and bring in customers because, in the end, it can do the exact opposite. By growing at a slower but steady pace, people will begin to follow. They will appreciate the freedom and flexibility and remember this in the long-term.
At the end of the day, everyone is human – especially the customers. They may seem like just another order or a small percentage of the total revenue, but no one wants to be viewed as a ticket number or a computer. It is important to view everyone as an individual and by making each message personal and different for each customer, it demonstrates exactly that. Rather than sending an email that simply says, “here is your refund”, make it unique by acknowledging that the customer is heard and felt. Therefore, while it is good to have a solid macro, it is also important to make it flexible for the team to adjust it.
This also applies to macros for negative experiences. Just as it is important to keep the customers happy, the CX team needs to be content as well. When employees are not valued, they become burnt out, exhausted, and contribute to a high turnover rate. They will not interact with the customers in the way that the company needs so having a macro that they can refer to, it allows for interactions to flow the way they are supposed to. Furthermore, it saves their mental health by letting them take a step back.
Customer service is built on empathy and integrity. A long-term relationship with a client base is impossible if they are not treated properly, but it is also impossible if the customer service team does not get the proper support that they need. Just as marketing needs a large budget for the brand to be successful, customer service needs one as well to thrive. Weiss has seen this experience first-hand and cannot emphasize enough how important it is to remember that everyone behind a computer screen is still a human being.
To speak to Weiss and hear about his enthusiasm for his customers and Gorgias, he can be reached via Twitter at @eliweisss.
No matter what product or service you sell, customer support is always one of the highest priorities. If you don’t give your customers the best support and experience possible, a few things can happen:
The good news is, if you’re here you’re already thinking in the right way -- you want to enhance your support so that it’s seamless for both the customer, and your team.
That’s why all BigCommerce store owners can now integrate with Gorgias to deliver an outstanding customer support experience to consumers.
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Gorgias is all about the customer-first model and this aligned vision with BigCommerce stores can bring your business to the next level.
We touched on that a little bit already, but let’s dive in more on why support actually matters.
Countless business owners view the support side as a cost centre, but when you look at it as more than that, this is when you really start seeing success. By improving satisfaction overall, you’re able to maintain loyal customers, which is key to growing your store. On top of that, you can increase engagement on-site and also across social channels because when people have a good experience with a brand, they love to share the story.
Of course, at the end of the day, it also heavily contributes to sales. Using live chat and other means of customer support channels you can advise people quickly on what the best product for them is. When you create those loyal customers, word of mouth can be one of your strongest driving forces.
Nowadays your audience and customers are everywhere. On top of that, they want the same experience across all channels which can sound very overwhelming. That being said, it is possible to make everything from social media to live chat, phone and beyond (we’ll talk about that in a little bit) work together seamlessly. By making all these channels easier to check on and respond on, it’ll help immensely with organization and responsiveness.
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We all know that the faster you respond the happier the customer will be. The issue is, countless stores have a low response time, and this offers a big opportunity for those who can do better. Not only does it lead to higher customer satisfaction, but it can lead to more sales too.. For instance, if someone is asking your support team about a particular product, there’s a good chance they have other stores open in other tabs, and if you can answer that customer first they may be more likely to go with your product over another.
Lastly, don’t forget that sounding robotic isn’t cool and customers can usually read right through it. By being human, you’re able to have a more personal relationship with customers as opposed to something strictly transactional. By personalizing answers, your customer will truly feel like you care and know them, making it far more likely that they’ll purchase from your store again.
Well, let’s start with a couple words from Iris Schiefer, Sr. Strategic Partnerships Manager, EMEA at BigCommerce. She knows what Gorgias can do to help shop owners out, saying that it “allowsBigCommerce merchants to offer an exceptional support experience and deepen relationships with customers.”
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This is fairly broad, and that’s because there’s lots of ways Gorgias can benefit your BigCommerce store. By using Gorgias, you can actually cut your customer support first response times and ticket resolution time without losing that precious human touch element.
Gorgias allows BigCommerce merchants to offer an exceptional support experience and deepen relationships with their customers. We are strongly aligned in terms of both our values and dedication to providing best-of-breed solutions to our merchants - We couldn't be happier to have Gorgias on board as a BigCommerce partner.
We understand, it sounds too good to be true, but it is possible. So, let’s dive into a few things you’ll be able to do if you integrate Gorgias into your BigCommerce store.
You can connect BigCommerce along with all your communication channels including email, social media, phone, live chat and more to Gorgias. This centralizes everything into one platform so that it's all in one place. This allows you to not miss any requests, and handle responses much faster.
With Gorgias, you can view your customer’s order history easily from the BigCommerce backend. This way, you can ensure speed and accuracy in responses as opposed to switching between tabs or cutting and pasting.
Personalization becomes easy and far less time consuming as well. With Gorgias, you can integrate data provided by BigCommerce like first name, shipping address and much more. This gives you the opportunity to send automatic and accurate messages for a personalized customer experience.
Repetitive questions can get frustrating, but Gorgias also has a function to get to these quickly and easily. You can automate answers to common questions to save valuable time for your team, that way they can focus on new customers and those with more complicated requests.
When you integrate Gorgias, you’re also using advanced machine learning to detect the intent, along with sentiment of each and every message. This means that by learning about tracking updates, return policies and urgency, Gorgias helps set priorities and categorize tickets based on what they’re all about.
Just like every other area of your business, tracking customer support performance is essential. Using Gorgias you can track KPIs to ensure you and your team are on track to delivering incredible support.
By integrating Gorgias, you’ll be able to also integrate with some of the biggest Apps in the BigCommerce Marketplace including Klaviyo, Omnisend, Smile.io and many more.
Now, how do you get started? It’s easier than you might think:
You can find a more detailed step by step guide here.
Are you building out your ecommerce tech stack and seeking more app recommendations for BigCommerce? Check out our lists of:
By the way, if you haven’t already signed up for Gorgias, you can start off by getting a free, 7-day trial to test it out on your BigCommerce store!
The fact is that content marketing can help an eCommerce brand immensely, given that content is a foundational element for visibility in the SERPs, social media engagement, the cultivation of thought leadership and industry authority, lead generation, customer self-service, and other vital business activities.
But the reality is that most blogs fail, and for a variety of different reasons. One of the most prevailing is that it doesn’t generate immediate results, ultimately discouraging future content creation.
However, there are various tactics that merchants can use to cultivate traffic to blogs and boost conversions as a result of those visits.
For merchants who want to take advantage of the benefits that content marketing has to offer, here are seven ways to boost conversions with eCommerce blog content.
One of the best ways to gain more site visitors who turn into paying customers is to create content that targets the intent of the user.
Of course, “user intent” is the reason behind the individual’s Google search. It is the outcome they aim to achieve.
For instance, if a consumer searches "best Bluetooth headphones," the intent behind the user's search is to obtain information that will narrow down their purchase options to just a couple of products.
When looking at how people search, there are three main types of user intents, often referred to as “Do, Know, Go.” Those intents are:
When creating content for a blog, merchants will likely be targeting information queries. These types of searches will result in a consumer finding high-ranking materials that relate to their search for knowledge.
Alternatively, a transactional search will often lead shoppers directly to product pages.
However, this isn’t to say that sellers shouldn’t link to their item listings within information blogs, assuming that the product is relevant to the piece. This can actually be a great way to pull a shopper from the top of the funnel down to deeper stages. More on this momentarily.
The sales funnel model is something that marketers use to delineate the path to purchase that consumers take. While there are numerous iterations of this model, the basics are that:
The job of site owners is to get consumers to move through the entirety of the brand’s sales funnel. Since awareness and research are highly dependent on the content offerings available to shoppers, merchants must craft quality content that targets top-of-funnel prospects.
Optimizing top-of-funnel content relies on uncovering and integrating long-tail keywords into various pieces. Since long-tail phrases are highly-specific and generate less search volume (and more conversions) than broad-head keywords, these phrases are a must.
Fortunately, a variety of tools such as Answer the Public, Keyword Tool, Ubersuggest and many others are geared specifically towards this task.
While all of these tools are extremely useful, Answer the Public is a favorite as it provides long-tail keywords questions that consumers are searching, thereby cluing in retailers even further as to what precisely potential buyers want to know.
In addition to these tools, sellers can also mine incredibly useful information about consumer queries from sites like Quora, Reddit and similar boards.
Speaking of answering questions, we also recommend you host an FAQ page on your website to help customers. Check out our free FAQ template to get started.
While this idea was touched upon slightly with targeting long-tail terms and phrases, there is a lot more to optimizing content for conversions than just plugging in a few keywords.
For retailers to get the visibility required to earn clicks and conversions, it is necessary to optimize blog posts according to Google’s SEO ranking factors. Some tactics that merchants will want to utilize include:
Additionally, while meta descriptions have no bearing on SEO performance, they do influence clicks, which does impact rankings. Therefore, crafting a concise, alluring and accurate meta description is also a necessity.
Linking to a product within a piece of content is a simple yet effective tactic for driving clicks to product pages and earning conversions.
However, the key thing to remember here is that the item must be relevant to the content. If sellers create a blog centered on ways to remedy plantar fasciitis and then include a link to great running shoes, that link will generate very few clicks and even fewer sales.
Alternatively, if a seller talks about and links to shoes or inserts for plantar fasciitis, it is far more likely that the content will earn sales as a result of the internal link.
The point of the post is to solve the reader's problems. If merchants have a product that can achieve that goal, then it is vital to include a link to the item. That said, do not promote products that are not relevant to the piece just for the sake of promotion. Doing so could damage a store’s credibility in the consumer’s eyes.
Social proof has become a necessity in the eCommerce industry. With all the shady dealings that are happening online, consumers want to know that what they are getting is the real deal.
Therefore, including social proof within content and on product pages is a powerful strategy for increasing conversions and encouraging that elusive second purchase.
Some excellent forms of social proof that can be deployed in content or on product pages include:
By providing the evidence that other customers love their purchase, others are more likely to follow the same path.
Visuals are a critical element for content.
Including images throughout blogs dramatically increases the readability of the piece and helps consumers to retain more of the information contained therein. The fact is, nobody likes reading massive walls of text.
Therefore, several ways that merchants can increase the readability of a piece and keep it engaging include:
There are a slew of tools out there for creating such visuals, including Canva, Pablo, Easil and many others.
If merchants are looking to create content that converts, visuals are a must.
No matter if merchants are looking to drive traffic to product pages, get readers to share a post or simply generate comments, including a clear, direct call-to-action is vital to meeting that goal.
The fact is that if a merchant wants to achieve something with their content, they often must make it explicit by letting consumers know what step they should take next.
By including a call-to-action at the end of a piece for visitors to check out a product page or other content, retailers are far more likely to generate conversions than if they were to leave consumers to their own devices.
For retailers who employ tracking pixels, those who visit their site can be retargeted to on Google, through social media and other popular online destinations.
Retargeting is an essential tactic for earning more conversions as consumers have already shown interest in a brand’s offerings–be they content or products.
While some consider retargeting to be an off-putting practice, looking at the facts about retargeting shows that this strategy is extremely useful in reaching consumers, generating sales and optimizing conversion rates.
In today’s attention economy, merchants must remain top-of-mind. Retargeting adverts help them achieve that end.
Creating eCommerce content that drives conversions is critical for merchants to compete in the increasingly crowded online retail industry. Moreover, by targeting user intent with such pieces, sellers can reel in new readers and bolster their customer base while still catering to existing shoppers.
For other ways to grow your ecommerce store, check out our list of ecommerce growth tactics.
Utilize the strategies listed above to help ensure that your company’s content earns the visibility it needs to generate clicks and conversions from shoppers–new and old. Don't have enough time to start a blog? Check out our ecommerce customer service automation guide to see how you can save time by automating many of the repetitive tasks that go into running an online store.
You might be assuming that there’s really nothing you can do to change this outside of overworking your team, or hiring more people.
This is completely normal, but there’s no need to panic. That’s because with Gorgias you can now integrate Loop in your ecommerce store. In case you’re wondering, Loop is an on-demand portal that allows customers to get the product they want, with less support touchpoints.
Using Loop, there are many ways you can reduce one of the biggest and more time-consuming support-related requests… returns. Plus, they do this while still giving your customers a seamless experience.
So, let’s dive in.
Did you know that 40% of support tickets are order related, with 5% being about returns? It might not seem like something worth looking into, or too problematic, but it is.
Though these customers returning items do deserve a great level of customer care (everyone does), it’s not the most valuable way to actually use your support team’s skills.
Why? Glad you asked.
It’s always good to remember that your support team is juggling a lot more than you think because there’s so many different types of requests that come through. One of those requests that takes a lot of time is, you guessed it, return requests. While these are important, they don’t exactly require a human touch since they’re very straightforward and focus heavily on process.
If your support team isn’t able to address other requests in a timely manner, that could mean losing new customers or returning ones because of those support tickets.
Luckily, return-requests can be easily automated.
It may come as a surprise to hear that your customers don’t actually want a high touch support experience for returns from your team. They actually want to be the ones to choose where and when they want to engage with support teams.
Since customers want a more on-demand experience when it comes to returns and something that happens fast, automation doesn’t hurt in these scenarios since it can be quick.
Bringing Loop and Gorgias together for a seamless customer experience that saves your team time is like a dream come true.
But how exactly, can this address the issues we’ve been discussing?
First off, this partnership will allow your support team to use that extra time in valuable ways that make sense and benefit the business. For example, focusing more on new customers, shipping issues and more.
Secondly, it benefits your customers since it allows them to take control of their returns and do things on their own time. This makes it more seamless and makes them feel like the return process is easier than ever.
Using both Loop and Gorgias together will create a better environment all around, decreasing stress both within your support team and customers so that your team can focus on conversions instead of returns.
Whether you’ve been looking for a way to reduce your support requests related to returns, or if it’s something new on your radar, it’s worth thinking about. Thankfully, you can sign up for a free 7-day trial with Gorgias and add in the Loop integration to see just how much time it can save.
A quick look into BigCommece, and you'll quickly see one of the main advantages about
As eCommerce-Aholic says in their YouTube video: 5 reasons to choose BigCommerce over Shopify, when deciding whether a SaaS ecommerce platform is right for you, you have to consider APIs.
Because more often than not, you don’t have access to the underlying code fuelling your ecommerce website.
This is where APIs come into their own.
In short, API stands for 'Application Programming Interface.' This enables two apps to communicate with each other. As such, this is what allows you to extend the overall functionality of your chosen ecommerce platform.
With that in mind, let’s delve into this subject a little deeper.
BigCommerce's API coverage is incredibly impressive. As is the number of API calls that BigCommerce can process per second. In fact, it can handle 100 times more API calls per second than Shopify Plus!
Shopify limits you to just two API requests a second, or four API per second if you’re a Shopify Plus user. Whereas BigCommerce can handle a whopping 400 API calls per second!
Let’s take synchronizing your entire stock list with BigCommerce’s Catalog API as an example. This API enables you to integrate your BigCommerce store with your POS and multiple online sales channels...so that you can handle everything from a single platform. Needless to say, this makes selling on popular third-party platforms like Amazon, Walmart (Jet), Wayfair, Best Buy, Houz, etc. a breeze!
So, suppose you’re running a large enterprise and have thousands of items to synchronize (or have tons of different product options). In that case, 25,000 products could take over four hours to sync on Shopify! Whereas, with BigCommerce, that same volume of merchants would take around a minute.
Following this same logic, if you're syncing multiple systems with your ecommerce store, you’ll be thankful that BigCommerce handles so many API calls per second. After all, there are only so many hours in the day!
The biggest perk?
But, that isn't the best thing about BigCommerce's APIs. In fact, it's the real-time information your shipping and logistics partners feedback to your store that's of the most value.
Of course, this also has a knock-on effect on the quality of your customer support. Slow and unreliable API calls adversely impact your store's inventory levels and shipping updates for customers.
While we're on the topic of customer service, just think of the kind of high-quality customer support you could provide, using one of your many APIs to connect your BigCommerce store with Gorgias.
You'll be able to offer all the following at lightning speed:
On top of the obvious benefits listed above, you can also use BigCommerce's API points to create mobile apps using data retrieved from your online store. Not only does this make app development much easier, but ultimately, it'll also provide a seamless experience for the end-user. Win-win!
For the sake of ease, we've listed some of the different kinds of BigCommerce APIs you can use and how they could benefit your online store. Hopefully, this provides some much-needed inspiration for making the most out of your abundance of APIs.
Storefront APIs: This enables you to manage customer carts and checkouts (from the client's side and your back end). For instance, you can add products to a shopper’s cart, gather and display customer order info, update billing addresses, and erase current e-shopping trolleys.
GraphQL Storefront API: Similar to above, you can also use this API to access your customer's product info and modify customer details and orders. But more unique to this API, you can build frontend apps. This permits you full control over the look and feel of your brand.
Scripts API: You can insert any scripts for analytics, single-click apps, live chat, support plugins, and theme extensions for any apps or integrations you’ve downloaded, so you'll no longer have to manually paste code into your control panel.
Widgets API: Here, you can create modular blocks of content to reuse wherever you want. Similarly, you can also develop tools to empower non-techy users to manage your content. Trust us, your team will thank you for not making them go to the trouble of modifying the theme files.
Payments API: As its name so aptly suggests, this API facilitates the acceptance of customer payments. You can create custom checkouts either using a Server-to-Server Checkout API Orders endpoint or via the V2 Orders endpoint.
First off, you need to obtain the API credentials.
From there, you can experiment with your APIs using BigCommerce's in-built 'Request Runner.' Here, you just copy and paste your store_hash, client_id ID, and access_token.
Then once you've done that, hit 'Send.'
Alternatively, you can use the REST Client extension to make API requests, using the Visual Studio Code. Once you've installed this extension, you'll need to create a new file called BigCommerce.http.
Then you'll need to paste the following:
@ACCESS_TOKEN = your_access_token
@CLIENT_ID = your_client_id
@STORE_HASH = your_store_hash
###
GET https://api.bigcommerce.com/stores/{{STORE_HASH}}/v3/catalog/products
X-Auth-Token: {{ACCESS_TOKEN}}
X-Auth-Client: {{CLIENT_ID}}
Content-Type: application/json
Accept: application/json
Now, hit 'Save.'
This should trigger a 'send request' link to display above GET. Click 'send request,' and the API response will appear in a split window.
There are other ways to start using BigCommerce APIs, but we don't have time to go through them all in this article. Hopefully, this has been enough to help steer you in the right direction. For more information, take a look at BigCommerce’s API documentation.
We hope having read this article, you have a better idea of what you could achieve with BigCommerce's generous API allowance. The BigCommerce API lets you sync inventory across channels, and locations, connect to apps, and offer exceptional customer support. How have you used the BigCommerce API?