

TL;DR:
You’ve chosen your AI tool and turned it on, hoping you won’t have to answer another WISMO question. But now you’re here. Why is AI going in circles? Why isn’t it answering simple questions? Why does it hand off every conversation to a human agent?
Conversational AI and chatbots thrive on proper training and data. Like any other team member on your customer support team, AI needs guidance. This includes knowledge documents, policies, brand voice guidelines, and escalation rules. So, if your AI has gone rogue, you may have skipped a step.
In this article, we’ll show you the top seven AI issues, why they happen, how to fix them, and the best practices for AI setup.
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AI can only be as accurate as the information you feed it. If your AI is confidently giving customers incorrect answers, it likely has a gap in its knowledge or a lack of guardrails.
Insufficient knowledge can cause AI to pull context from similar topics to create an answer, while the lack of guardrails gives it the green light to compose an answer, correct or not.
How to fix it:
This is one of the most frustrating customer service issues out there. Left unfixed, you risk losing 29% of customers.
If your AI is putting customers through a never-ending loop, it’s time to review your knowledge docs and escalation rules.
How to fix it:
It can be frustrating when AI can’t do the bare minimum, like automate WISMO tickets. This issue is likely due to missing knowledge or overly broad escalation rules.
How to fix it:
One in two customers still prefer talking to a human to an AI, according to Katana. Limiting them to AI-only support could risk a sale or their relationship.
The top live chat apps clearly display options to speak with AI or a human agent. If your tool doesn’t have this, refine your AI-to-human escalation rules.
How to fix it:
If your agents are asking customers to repeat themselves, you’ve already lost momentum. One of the fastest ways to break trust is by making someone explain their issue twice. This happens when AI escalates without passing the conversation history, customer profile, or even a summary of what’s already been attempted.
How to fix it:
Sure, conversational AI has near-perfect grammar, but if its tone is entirely different from your agents’, customers can be put off.
This mismatch usually comes from not settling on an official customer support tone of voice. AI might be pulling from marketing copy. Agents might be winging it. Either way, inconsistency breaks the flow.
How to fix it:
When AI is underperforming, the problem isn’t always the tool. Many teams launch AI without ever mapping out what it's actually supposed to do. So it tries to do everything (and fails), or it does nothing at all.
It’s important to remember that support automation isn’t “set it and forget it.” It needs to know its playing field and boundaries.
How to fix it:
AI should handle |
AI should escalate to a human |
|---|---|
Order tracking (“Where’s my package?”) |
Upset, frustrated, or emotional customers |
Return and refund policy questions |
Billing problems or refund exceptions |
Store hours, shipping rates, and FAQs |
Technical product or troubleshooting issues |
Simple product questions |
Complex or edge‑case product questions |
Password resets |
Multi‑part or multi‑issue requests |
Pre‑sale questions with clear, binary answers |
Anything where a wrong answer risks churn |
Once you’ve addressed the obvious issues, it’s important to build a setup that works reliably. These best practices will help your AI deliver consistently helpful support.
Start by deciding what AI should and shouldn’t handle. Let it take care of repetitive tasks like order tracking, return policies, and product questions. Anything complex or emotionally sensitive should go straight to your team.
Use examples from actual tickets and messages your team handles every day. Help center articles are a good start, but real interactions are what help AI learn how customers actually ask questions.
Create rules that tell your AI when to escalate. These might include customer frustration, low confidence in the answer, or specific phrases like “talk to a person.” The goal is to avoid infinite loops and to hand things off before the experience breaks down.
When a handoff happens, your agents should see everything the AI did. That includes the full conversation, relevant customer data, and any actions it has already attempted. This helps your team respond quickly and avoid repeating what the customer just went through.
An easy way to keep order history, customer data, and conversation history in one place is by using a conversational commerce tool like Gorgias.
A jarring shift in tone between AI and agent makes the experience feel disconnected. Align aspects such as formality, punctuation, and language style so the transition from AI to human feels natural.
Look at recent escalations each week. Identify where the AI struggled or handed off too early or too late. Use those insights to improve training, adjust boundaries, and strengthen your automation flows.
If your AI chatbot isn’t working the way you expected, it’s probably not because the technology is broken. It’s because it hasn’t been given the right rules.
When you set AI up with clear responsibilities, it becomes a powerful extension of your team.
Want to see what it looks like when AI is set up the right way?
Try Gorgias AI Agent. It’s conversational AI built with smart automation, clean escalations, and ecommerce data in its core — so your customers get faster answers and your agents stay focused.
TL;DR:
While most ecommerce brands debate whether to implement AI support, customers already rate AI assistance nearly as highly as human support. The future isn't coming. It's being built in real-time by brands paying attention.
As a conversational commerce platform processing millions of support tickets across thousands of brands, we see what's working before it becomes common knowledge. Three major shifts are converging faster than most founders realize, and this article breaks down what's already happening rather than what might happen someday.
By the end of 2026, we predict that the performance gap between ecommerce brands won't be determined by who adopted AI first. It will be determined by who built the content foundation that makes AI actually work.
Right now, we're watching this split happen in real time. AI can only be as good as the knowledge base it draws from. When we analyze why AI escalates tickets to human agents, the pattern is unmistakable.
The five topics triggering the most AI escalations are:
These aren’t complicated questions — they're routine questions every ecommerce brand faces daily. Yet some brands automate these at 60%+ rates while others plateau at 20%. The difference isn't better AI. It's better documentation.
Take SuitShop, a formalwear brand that reached 30% automation with a lean CX team. Their Director of Customer Experience, Katy Eriks, treats AI like a team member who needs coaching, not a plug-and-play tool.
When Katy first turned on AI in August 2023, the results were underwhelming. So she paused during their slow season and rebuilt their Help Center from the ground up. "I went back to the tickets I had to answer myself, checked what people were searching in the Help Center, and filled in the gaps," she explained.
The brands achieving high automation rates share Katie's approach:
AI echoes whatever foundation you provide. Clear documentation becomes instant, accurate support. Vague policies become confused AI that defaults to human escalation.
Read more: Coach AI Agent in one hour a week: SuitShop’s guide
Two distinct groups will emerge next year. Brands that invest in documentation quality now will deliver consistently better experiences at lower costs. Those who try to deploy AI on top of messy operations will hit automation plateaus and rising support costs. Every brand will eventually have access to similar AI technology. The competitive advantage will belong to those who did the unexciting work first.
Something shifted in July 2025. Gorgias’s AI accuracy jumped significantly after the GPT-5 release. For the first time, CX teams stopped second-guessing every AI response. We watched brand confidence in AI-generated responses rise from 57% to 85% in just a few months.
What this means in practice is that AI now outperforms human agents:
For the first time, AI isn't just faster than humans. It's more consistent, more accurate, and even more empathetic at scale.
This isn't about replacing humans. It's about what becomes possible when you free your team from repetitive work. Customer expectations are being reset by whoever responds fastest and most completely, and the brands crossing this threshold first are creating a competitive moat.
At Gorgias, the most telling signal was AI CSAT on chat improved 40% faster than on email this year. In other words, customers are beginning to prefer AI for certain interactions because it's immediate and complete.
Within the next year, we expect the satisfaction gap to hit zero for transactional support. The question isn't whether AI can match humans. It's what you'll do with your human agents once it does.
The brands that have always known support should drive revenue will finally have the infrastructure to make it happen on a bigger scale. AI removes the constraint that's held this strategy back: human bandwidth.
Most ecommerce leaders already understand that support conversations are sales opportunities. Product questions, sizing concerns, and “just browsing” chats are all chances to recommend, upsell, and convert. The problem wasn't awareness but execution at volume.
We analyzed revenue impact across brands using AI-powered product recommendations in support conversations. The results speak for themselves:
It's clear that conversations that weave in product recommendations convert at higher rates and result in larger order values. It’s time to treat support conversations as active buying conversations.
If you're already training support teams on product knowledge and tracking revenue per conversation, keep doing exactly what you're doing. You've been ahead of the curve. Now AI gives you the infrastructure to scale those same practices without the cost increase.
If you've been treating support purely as a cost center, start measuring revenue influence now. Track which conversations lead to purchases, which agents naturally upsell, and where customers ask for product guidance.
We are now past the point where response time is a brand's key differentiator. It is now the use of conversational commerce or systems that share details and context across every touchpoint.
Today, a typical customer journey looks something like this: see product on Instagram, ask a question via DM, complete purchase on mobile, track order via email. At each step, customers expect you to remember everything from the last interaction.
The most successful ecommerce tech stacks treat the helpdesk as the foundation that connects everything else. When your support platform connects to your ecommerce platform, shipping providers, returns portal, and every customer communication channel, context flows automatically.
A modern integration approach looks like this. Your ecommerce platform (like Shopify) feeds order data into a helpdesk like Gorgias, which becomes the hub for all customer conversations across email, chat, SMS, and social DMs. From there, connections branch out to payment providers, shipping carriers, and marketing automation tools.
As Dr. Bronner’s Senior CX Manager noted, “While Salesforce needed heavy development, Gorgias connected to our entire stack with just a few clicks. Our team can now manage workflows without needing custom development — we save $100k/year by switching."
As new channels emerge, brands with flexible tech stacks will adapt quickly while those with static systems will need months of development work to support new touchpoints. The winners will be brands that invest in their tools before adding new channels, not after customer complaints force their hand.
Start auditing your current integrations now. Where does customer data get stuck? Which systems don’t connect to each other? These gaps are costing you more than you realize, and in the future, they'll be the key to scaling or staying stagnant.
Post-purchase support quality will be a stronger predictor of customer lifetime value than any email campaign. Brands that treat support as a retention investment rather than a cost center will outperform in repeat purchase rates.
Returns and exchanges are make-or-break moments for customer lifetime value. How you handle problems, delays, and disappointments determines whether customers come back or shop elsewhere next time. According to Narvar, 96% of customers say they won’t repurchase from a brand after a poor return experience.
What customers expect reflects this reality. They want proactive shipping updates without having to ask, one-click returns with instant label generation, and notifications about problems before they have to reach out. When something goes wrong, they expect you to tell them first, not make them track you down for answers.
The quality of your response when things go wrong matters more than getting everything right the first time. Exchange suggestions during the return flow can keep the sale alive, turning a potential loss into loyalty.
Brands that treat post-purchase as a retention strategy rather than a task to cross off will see much higher repeat purchase rates. Those still relying purely on email marketing for retention will wonder why their customer lifetime value plateaus.
Start measuring post-return CSAT scores and repeat purchase rates by support interaction quality. These metrics will tell you whether your post-purchase experience is building loyalty or quietly eroding it.
After absorbing these predictions about AI accuracy, content infrastructure, revenue-centric support, context, and post-purchase tactics, here's your roadmap for the next 24 months.
Now (in 90 days):
Next (in 6-12 months):
Watch (in 12-24 months):
The patterns we've shared, from AI crossing the accuracy threshold to documentation quality, are happening right now across thousands of brands. Over the next 24 months, teams will be separated by operational maturity.
Book a demo to see how leading brands are already there.
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TL;DR:
Customer education has become a critical factor in converting browsers into buyers. For wellness brands like Cornbread Hemp, where customers need to understand ingredients, dosages, and benefits before making a purchase, education has a direct impact on sales. The challenge is scaling personalized education when support teams are stretched thin, especially during peak sales periods.
Katherine Goodman, Senior Director of Customer Experience, and Stacy Williams, Senior Customer Experience Manager, explain how implementing Gorgias's AI Shopping Assistant transformed their customer education strategy into a conversion powerhouse.
In our second AI in CX episode, we dive into how Cornbread achieved a 30% conversion rate during BFCM, saving their CX team over four days of manual work.
Before diving into tactics, understanding why education matters in the wellness space helps contextualize this approach.
Katherine, Senior Director of Customer Experience at Cornbread Hemp, explains:
"Wellness is a very saturated market right now. Getting to the nitty-gritty and getting to the bottom of what our product actually does for people, making sure they're educated on the differences between products to feel comfortable with what they're putting in their body."
The most common pre-purchase questions Cornbread receives center around three areas: ingredients, dosages, and specific benefits. Customers want to know which product will help with their particular symptoms. They need reassurance that they're making the right choice.
What makes this challenging: These questions require nuanced, personalized responses that consider the customer's specific needs and concerns. Traditionally, this meant every customer had to speak with a human agent, creating a bottleneck that slowed conversions and overwhelmed support teams during peak periods.
Stacy, Senior Customer Experience Manager at Cornbread, identified the game-changing impact of Shopping Assistant:
"It's had a major impact, especially during non-operating hours. Shopping Assistant is able to answer questions when our CX agents aren't available, so it continues the customer order process."
A customer lands on your site at 11 PM, has questions about dosage or ingredients, and instead of abandoning their cart or waiting until morning for a response, they get immediate, accurate answers that move them toward purchase.
The real impact happens in how the tool anticipates customer needs. Cornbread uses suggested product questions that pop up as customers browse product pages. Stacy notes:
"Most of our Shopping Assistant engagement comes from those suggested product features. It almost anticipates what the customer is asking or needing to know."
Actionable takeaway: Don't wait for customers to ask questions. Surface the most common concerns proactively. When you anticipate hesitation and address it immediately, you remove friction from the buying journey.
One of the biggest myths about AI is that implementation is complicated. Stacy explains how Cornbread’s rollout was a straightforward three-step process: audit your knowledge base, flip the switch, then optimize.
"It was literally the flip of a switch and just making sure that our data and information in Gorgias was up to date and accurate."
Here's Cornbread’s three-phase approach:
Actionable takeaway: Block out time for that initial knowledge base audit. Then commit to regular check-ins because your business evolves, and your AI should evolve with it.
Read more: AI in CX Webinar Recap: Turning AI Implementation into Team Alignment
Here's something most brands miss: the way you write your knowledge base articles directly impacts conversion rates.
Before BFCM, Stacy reviewed all of Cornbread's Guidance and rephrased the language to make it easier for AI Agent to understand.
"The language in the Guidance had to be simple, concise, very straightforward so that Shopping Assistant could deliver that information without being confused or getting too complicated," Stacy explains. When your AI can quickly parse and deliver information, customers get faster, more accurate answers. And faster answers mean more conversions.
Katherine adds another crucial element: tone consistency.
"We treat AI as another team member. Making sure that the tone and the language that AI used were very similar to the tone and the language that our human agents use was crucial in creating and maintaining a customer relationship."
As a result, customers often don't realize they're talking to AI. Some even leave reviews saying they loved chatting with "Ally" (Cornbread's AI agent name), not realizing Ally isn't human.
Actionable takeaway: Review your knowledge base with fresh eyes. Can you simplify without losing meaning? Does it sound like your brand? Would a customer be satisfied with this interaction? If not, time for a rewrite.
Read more: How to Write Guidance with the “When, If, Then” Framework
The real test of any CX strategy is how it performs under pressure. For Cornbread, Black Friday Cyber Monday 2025 proved that their conversational commerce strategy wasn't just working, it was thriving.
Over the peak season, Cornbread saw:
Katherine breaks down what made the difference:
"Shopping Assistant popping up, answering those questions with the correct promo information helps customers get from point A to point B before the deal ends."
During high-stakes sales events, customers are in a hurry. They're comparing options, checking out competitors, and making quick decisions. If you can't answer their questions immediately, they're gone. Shopping Assistant kept customers engaged and moving toward purchase, even when human agents were swamped.
Actionable takeaway: Peak periods require a fail-safe CX strategy. The brands that win are the ones that prepare their AI tools in advance.
One of the most transformative impacts of conversational commerce goes beyond conversion rates. What your team can do with their newfound bandwidth matters just as much.
With AI handling straightforward inquiries, Cornbread's CX team has evolved into a strategic problem-solving team. They've expanded into social media support, provided real-time service during a retail pop-up, and have time for the high-value interactions that actually build customer relationships.
Katherine describes phone calls as their highest value touchpoint, where agents can build genuine relationships with customers. “We have an older demographic, especially with CBD. We received a lot of customer calls requesting orders and asking questions. And sometimes we end up just yapping,” Katherine shares. “I was yapping with a customer last week, and we'd been on the call for about 15 minutes. This really helps build those long-term relationships that keep customers coming back."
That's the kind of experience that builds loyalty, and becomes possible only when your team isn't stuck answering repetitive tickets.
Stacy adds that agents now focus on "higher-level tickets or customer issues that they need to resolve. AI handles straightforward things, and our agents now really are more engaged in more complicated, higher-level resolutions."
Actionable takeaway: Stop thinking about AI only as a cost-cutting tool and start seeing it as an impact multiplier. The goal is to free your team to work on conversations that actually move the needle on customer lifetime value.
Cornbread isn't resting on their BFCM success. They're already optimizing for January, traditionally the biggest month for wellness brands as customers commit to New Year's resolutions.
Their focus areas include optimizing their product quiz to provide better data to both AI and human agents, educating customers on realistic expectations with CBD use, and using Shopping Assistant to spotlight new products launching in Q1.
The brands winning at conversational commerce aren't the ones with the biggest budgets or the largest teams. They're the ones who understand that customer education drives conversions, and they've built systems to deliver that education at scale.
Cornbread Hemp's success comes down to three core principles: investing time upfront to train AI properly, maintaining consistent optimization, and treating AI as a team member that deserves the same attention to tone and quality as human agents.
As Katherine puts it:
"The more time that you put into training and optimizing AI, the less time you're going to have to babysit it later. Then, it's actually going to give your customers that really amazing experience."
Watch the replay of the whole conversation with Katherine and Stacy to learn how Gorgias’s Shopping Assistant helps them turn browsers into buyers.
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TL;DR:
Rising customer expectations, shoppers willing to pay a premium for convenience, and a growing lack of trust in social media channels to make purchase decisions are making it more challenging to turn a profit.
In this emerging era, AI’s role is becoming not only more pronounced, but a necessity for brands who want to stay ahead. Tools like Gorgias Shopping Assistant can help drive measurable revenue while reducing support costs.
For example, a brand that specializes in premium outdoor apparel implemented Shopping Assistant and saw a 2.25% uplift in GMV and 29% uplift in average order volume (AOV).
But how, among competing priorities and expenses, do you convince leadership to implement it? We’ll show you.
Shoppers want on-demand help in real time that’s personalized across devices.
Shopping Assistant recalls a shopper’s browsing history, like what they have clicked, viewed, and added to their cart. This allows it to make more relevant suggestions that feel personal to each customer.
The AI ecommerce tools market was valued at $7.25 billion in 2024 and is expected to reach $21.55 billion by 2030.
Your competitors are using conversational AI to support, sell, and retain. Shopping Assistant satisfies that need, providing upsells and recommendations rooted in real shopper behavior.
Conversational AI has real revenue implications, impacting customer retention, average order value (AOV), conversion rates, and gross market value (GMV).
For example, a leading nutrition brand saw a GMV uplift of over 1%, an increase in AOV of over 16%, and a chat conversion rate of over 15% after implementing Shopping Assistant.
Overall, Shopping Assistant drives higher engagement and more revenue per visitor, sometimes surpassing 50% and 20%, respectively.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Results:
Across all 11 brands, one theme is clear. When shoppers get the guidance they need at the right moment, they convert more confidently and often spend more.
Here’s what stands out:
What this means for you:
Look closely at your most common pre-purchase questions. Anywhere shoppers hesitate from fit, shade, technical specs, styling, bundles is a place where Shopping Assistant can step in, boost confidence, and unlock more sales.
If you notice the same patterns in your own store, such as shoppers hesitating over sizing, shade matching, product comparisons, or technical details, guided shopping can make an immediate impact. These moments are often your biggest opportunities to increase revenue and improve the buying experience.
Many of the brands in this post started by identifying their most common pre-purchase questions and letting AI handle them at scale. You can do the same.
If you want to boost conversions, lift AOV, and create a smoother path to purchase, now is a great time to explore guided shopping for your team.
Book a demo or activate Shopping Assistant to get started.
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TL;DR:
Your support team is handling hundreds of chats per week, but you have no idea if customers are satisfied, agents are overwhelmed, or conversations are driving sales.
Live chat metrics give you that visibility. These KPIs measure how fast your team responds, how efficiently they resolve issues, and how those conversations impact revenue. Without them, you lack visibility into staffing decisions, training priorities, and customer satisfaction.
In this guide, we'll walk through the 14 most important live chat metrics for ecommerce brands, why they matter, and how to improve them with the right tools.
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Live chat metrics show how well your support team performs, how efficiently they handle volume, and how chat impacts the business. They help you identify slowdowns, quality issues, and missed opportunities in customer conversations.
Not all metrics are equally useful. Vanity metrics like total chat volume describe activity. Actionable KPIs like first response time or resolution rate tell you what to fix and where to invest.
For ecommerce brands, these metrics matter more than in most industries. Chat volume spikes during BFCM, launches, and promos. You need to respond fast without sacrificing quality. And unlike email or phone, live chat often sits directly on the path to purchase.
When you don’t track live chat metrics, decisions rely on gut instinct. Staffing guesses replace planning. Coaching becomes reactive. Proving ROI gets harder. The right metrics help you staff smarter, coach better, reduce costs, and tie chat conversations to revenue.
Live chat metrics generally fall into a few core categories, which we’ll break down throughout this guide.
Live chat metrics measure different parts of your support operation, and you need a mix of them to understand performance clearly.
Speed and time-based metrics show how quickly your team responds and resolves chats, setting the baseline for customer expectations.
Efficiency and quality metrics reveal whether issues are solved correctly the first time, not just quickly.
Volume and coverage metrics help you understand chat demand and whether your team has enough capacity during peak periods.
Satisfaction and experience metrics measure how customers feel after a chat and how easy it was to get help.
Automation and AI metrics track how often chatbots resolve conversations without human involvement, freeing agents for complex issues.
Revenue and growth metrics connect chat conversations to conversions and sales, helping you prove ROI.
Next, we’ll break down each category and the specific metrics to track.
Speed matters in live chat more than any other support channel. Customers initiate a chat because they want immediate help. If they were willing to wait, they'd send an email. Time-based metrics reveal whether you're meeting their expectations for instant responses and quick resolutions.
What it measures:
The time between when a customer starts a chat and when an agent sends the first reply.
Why it matters:
This first moment sets the tone for the entire interaction and strongly affects whether shoppers stay engaged or leave.
Benchmark:
Top ecommerce teams respond in under 40 seconds.
Formula:
First response time = time of first agent message − time chat started
How to improve it:
Tip: Track median FRT instead of averages to avoid outliers skewing results.
What it measures:
The average time it takes an agent to reply to each message after the first response.
Why it matters:
Customers expect steady speed throughout the chat, not fast greetings followed by long pauses.
Benchmark:
High-performing teams keep average response times under 2 minutes.
Formula:
Average response time = total agent reply time ÷ number of agent responses
How to improve it:
What it measures:
The total time from chat start to issue resolution and chat closure.
Why it matters:
Fast replies mean little if the issue takes too long to solve.
Benchmark:
Simple issues should be resolved in under 10 minutes. For complex issues, aim for under an hour.
Formula:
Resolution time = chat close time − chat start time
How to improve it:
Speed metrics only tell the full story when viewed together.
For example, a team might hit a 45-second first response time, but if average response time stretches to five minutes and resolution takes 25 minutes, customers still experience friction. The chat starts fast, then slows down.
In practice, use first response time to gauge engagement, average response time to spot agent overload, and resolution time to identify process or tooling gaps. Looking at them together shows where speed breaks down.
Speed gets customers in the door. Efficiency and quality determine whether their issue is actually solved. These metrics show whether chats are resolved fully, handled by the right person, and completed without unnecessary effort.
What it measures:
The percentage of chats resolved in a single interaction without follow-ups or escalation.
Why it matters:
High FCR lowers repeat contacts, reduces support costs, and increases customer satisfaction.
Benchmark:
70%+ is standard, while 80%+ is considered excellent for ecommerce support.
Formula:
FCR = (chats resolved on first contact ÷ total chats) × 100
How to improve it:
What it measures:
The total time from when a chat starts to when it’s closed.
Why it matters:
Chats should be efficient but thorough. Shorter isn’t better if issues aren’t fully resolved.
Benchmark:
Most ecommerce chats fall between 10-13 minutes, depending on complexity.
Formula:
Average chat duration = total chat time ÷ number of chats
How to improve it:
Tip: Review chat duration alongside FCR and CSAT to ensure speed doesn’t hurt quality.
What it measures:
The percentage of chats handed off between agents or escalated from bots to humans.
Why it matters:
Each transfer adds wait time and forces customers to repeat themselves.
Benchmark:
Under 10% is ideal for most ecommerce teams.
Formula:
Transfer rate = (transferred chats ÷ total chats) × 100
How to reduce it:
Start with FCR. It tells you whether problems are actually solved.
If FCR is strong but chat duration keeps climbing, agents may lack tools or permissions. If duration is short but transfer rate is high, chats are moving fast but landing with the wrong person.
Reading these metrics side by side helps you see whether your team is being efficient, effective, or just busy.
Volume and coverage metrics show whether you’re staffed to meet demand. They help you plan schedules, avoid missed chats, and balance agent workload without hurting quality.
What it measures:
The total number of chat conversations started in a given time period.
Why it matters:
Chat volume reveals demand patterns and helps you staff proactively instead of reacting when queues spike.
Benchmark:
There’s no universal benchmark, but ecommerce teams should expect predictable spikes around promos, launches, and BFCM.
Formula:
Chat volume = total chats initiated in a time period
How to manage it:
What it measures:
The percentage of chat requests that don’t receive a response.
Why it matters:
Every missed chat is a missed chance to resolve an issue or convert a shopper.
Benchmark:
Under 5% is good, while under 3% is excellent.
Formula:
Missed chat rate = (missed chats ÷ total chat requests) × 100
How to reduce it:
What it measures:
The average number of chats handled by each agent in a given period.
Why it matters:
This metric helps balance productivity with quality and prevent burnout.
Benchmark:
30–50 chats per agent per day is typical for ecommerce, depending on complexity.
Formula:
Chats per agent = total chats handled ÷ number of agents
How to optimize it:
If volume rises but missed chats stay low, staffing is working. If missed chats spike, check chats per agent. High workloads usually mean agents are stretched too thin, even if headcount hasn’t changed.
Viewed together, these metrics show whether you have a demand problem, a coverage problem, or both.
Operational metrics show how chat performs. Satisfaction metrics show how it feels to customers. These are the strongest predictors of loyalty, repeat purchases, and long-term value.
What it measures:
How satisfied customers are with their chat experience, usually collected via a post-chat survey.
Why it matters:
CSAT reflects whether customers felt helped, heard, and resolved.
Benchmark:
Most ecommerce brands have a 4.6 CSAT.
Formula:
CSAT = (number of satisfied responses ÷ total responses) × 100
How to improve it:
What it measures:
How easy it was for customers to get their issue resolved.
Why it matters:
Low-effort experiences are more predictive of loyalty than delight.
Benchmark:
Aim for 5+ on a 7-point scale.
Formula:
CES = % of “easy” responses (6–7) − % of “difficult” responses (1–2)
How to reduce effort:
Read more: Customer delight is a losing strategy in ecommerce: Here's what's better
CSAT tells you how customers felt. CES explains why.
If CSAT drops and CES is low, the experience likely involved long waits, transfers, or repeated questions. When both are strong, customers feel helped without friction, even if the issue wasn’t perfect.
Automation only works if it helps customers. These metrics show whether AI is reducing workload without hurting the experience.
What it measures:
The percentage of AI-handled chats resolved without a human handoff.
Why it matters:
High deflection lowers cost per resolution and provides true 24/7 coverage.
Benchmark:
40–60% is typical for well-trained AI, while 70%+ is best-in-class for repetitive inquiries.
Formula:
Deflection rate = (chats resolved by AI ÷ total AI-handled chats) × 100
How to improve it:
Important: A high deflection rate only matters if customers are satisfied. Always measure AI CSAT separately from human CSAT.
Deflection rate shows efficiency. Bot CSAT confirms quality.
If deflection rises but CSAT drops, automation is creating friction. When both increase together, AI is reducing volume while maintaining a good experience.
Live chat can influence revenue, not just resolve issues. These metrics show whether conversations help customers buy and how support contributes to growth.
What it measures:
The percentage of chat conversations that lead to a purchase within a defined attribution window, usually 24–48 hours.
Why it matters:
Chat often captures shoppers in the consideration phase, when a small question stands between them and a purchase.
Benchmark:
Conversion rates typically fall at 4.7%, with the top brands at 13%.
Formula:
Chat conversion rate = (purchases attributed to chat ÷ total chats) × 100
How to improve it:
Tip: Segment conversion by conversation type. Pre-purchase chats usually convert at higher rates than post-purchase support.
📚 Read more: Customer service ROI: How to measure and improve value
What it measures:
The average revenue generated from each chat conversation.
Why it matters:
This metric turns chat performance into a dollar value leadership can evaluate.
Benchmark:
There’s no universal standard, but revenue per chat should trend upward as chat conversion improves.
Formula:
Revenue per chat = total revenue attributed to chat ÷ total chats
How to improve it:
Conversion rate indicates whether chat influences purchase decisions, while revenue per chat indicates the value of those conversations.
A high conversion rate with low revenue often means chat is closing low-value orders, while high revenue with low conversion can signal chat is engaging too late in the journey. When both rise together, live chat clearly contributes to growth, not just support volume.
Beyond the core performance metrics, there are operational insights that help you understand why your metrics look the way they do and what specific actions you can take to improve them.
What it is:
A structured way to group chats by why customers reach out, such as order tracking, sizing questions, returns, or complaints.
Why it matters:
Recurring contact reasons often point to unclear policies, missing information, or product friction that support alone can’t fix.
How to use it:
What it is:
The language customers use in live chat to describe problems, objections, and feedback.
Why it matters:
This language reflects real customer concerns and often surfaces issues before they appear in conversion or retention data.
How to use it:
Insight: Forrester found that customer-obsessed companies grow revenue 41% faster than competitors by acting on customer feedback.
What it is:
How customers behave during chats, including repeat questions, long pauses, or multiple handoffs.
Why it matters:
Behavioral friction often signals missing context, unclear processes, or tooling limitations.
How to use it:
What it is:
Using live chat insights outside of the CX team to inform marketing, product, and operations.
Why it matters:
Many support contacts are preventable when insights are shared early and acted on collaboratively.
How to use it:
Consider a team seeing a rise in live chats about returns.
Contact reasons show that most chats are tagged “returns” and “exchange.” Conversation reviews reveal customers repeatedly asking about eligibility and timelines. Voice of the customer shows frustration with unclear wording on the returns page.
Taken together, the fix isn’t faster replies. It’s clearer return messaging, better Help Center content, and proactive chat prompts that answer the question before customers ask.
Tracking the right live chat metrics helps you understand what’s working, what’s breaking, and where chat drives real business impact. When speed, efficiency, satisfaction, and revenue are measured together, live chat becomes easier to manage and easier to justify.
Gorgias brings these insights into one place. You can track performance in real time, understand customer intent, and use automation to handle routine questions while agents focus on higher-value conversations.
Want to see how it works? Book a demo to explore how ecommerce teams use Gorgias to improve live chat performance and drive growth.
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From providing you with powerful marketing tools to automating time-consuming processes that are clogging up your schedule, choosing the right extensions to integrate into your Magento store can offer a wide range of benefits.
If you already use Magento (also called Adobe Commerce), you’re probably familiar with Magento Extensions and how they work. If you’re currently considering Magento, consider taking a look at our comparison post of Magento and Shopify, another leading ecommerce platform.
Let's take a look at the top 19 best Magento extensions available today, including their standout features and common user reviews.
Unlike plug-n-play ecommerce platforms such as Shopify and BigCommerce, Magento does not come equipped with many pre-built solutions for marketing, sales, customer support, and inventory management. Fortunately, Magento and Magento 2 do offer a large number of downloadable extensions available on the Magento Marketplace.
These Magento extensions offer many powerful benefits, spanning from:
Take a look at our list to improve the user experience on your online store and ultimately help you generate more sales.
Creating effective marketing campaigns for your online products isn't always a straightforward task.
By providing a range of marketing capabilities and automating much of the campaign creation process, these Magento extensions for marketing can go a long way toward making your marketing efforts more profitable.
Klaviyo is an email marketing solution that provides several convenient tools designed to improve the results of your email campaigns. The tool also makes the process of managing those campaigns more efficient.
With Klaviyo, you can look forward to tools such as automated email and SMS marketing flows, list segmentation tools, and a user-friendly dashboard that provides an abundance of helpful analytics and insights about your email marketing campaigns.
Use Gorgias? Take a look at how Klaviyo integrates with Gorgias.
Yotpo is an ecommerce marketing platform that provides Magento store owners with unified, data-driven solutions for SMS marketing, loyalty and referrals, reviews, and more.
With Yotpo, you can create custom loyalty programs, send high-converting text messages shoppers actually want to read, and collect authentic customer feedback — all in one place.
Use Gorgias? Take a look at how Yotpo integrates with Gorgias.
With roughly a billion monthly active users, Instagram is a social media platform that offers a wealth of marketing opportunities.
The Magento 2 Instagram Connect extension allows store owners to automatically sync products from their Magento store to their Instagram account and provides a number of other Instagram marketing tools and features such as CTA buttons for Instagram photos and an Instagram widget that lets you display your Instagram feed on your website.
Boosting organic traffic with great SEO is one of the most reliable long-term ecommerce marketing strategies. With MageWorx SEO Suite Ultimate, store owners are able to access numerous SEO tools and features, including XML & HTML sitemaps, automatic cross-linking, advanced rich snippets, layered navigation, and many more.
📚 Recommended reading: Our guide to ecommerce SEO for beginners.
In 2020, ecommerce sales accounted for 14% of all retail sales, up 9.5% compared to 2011. If you would like to take a large bite out of this ever-growing ecommerce pie, here are three feature-rich Magento sales extensions worth checking out.
CedCommerce HubSpot Integration is an app that allows you to sync your Magento store with HubSpot, providing tools such as marketing automation workflows, a camping ROI tracker, and abandoned cart recovery tools.
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Zoho CRM is a CRM service designed to help ecommerce store owners store and segment customer data in order to better target their marketing campaigns and see upselling and cross-selling opportunities.
With Magenest Zoho CRM Extension, you can automatically sync data straight from your Magento store to your CRM, putting the capabilities of Zoho CRM at your fingertips without the need to spend hours syncing data manually.
Magediary Product Scheduler is an extension that offers useful countdown timer widgets such as product launch timers and promotional timers. This extension also allows you to send automated email notifications to customers who subscribe for scheduled products.
According to data from Invesp, investing in new customers is between 5-25 times more expensive than retaining existing customers. By helping you provide exceptional customer support, these customer support Magento extensions will help you keep your retention rates as high as possible while at the same time minimizing your customer support team's workload.
Gorgias is a customer support platform that provides everything you need to improve the quality of your customer service while also reducing the burden of your customer support team.
With Gorgias, Magento store owners are able to access powerful tools and features such as live chat support, a centralized dashboard for support agents to work from, self-service options for reducing support ticket volume, and a wide range of Rules and Macros for automating tasks such as ticket generation and prioritization. If you are looking for an all-in-one solution to customer support, be sure to check out Gorgias today.
With 1.6 billion users across the globe, WhatsApp is by far the most popular messaging app in the world today. The WhatsApp Chat extension by Sparsh Technologies allows Magento store owners to create a customizable plug-in that lets customers contact the store's support team via WhatsApp directly from the website. Best of all, this extension is completely free to download and use.
One of the best ways to reduce your customer support ticket volume is to provide customers with plenty of resources for finding the answers to common issues on their own. With the Amnesty FAQ and Product Questions extension, you can easily create FAQ pages and product questions designed to provide customers the answers they need without them having to contact your customer support team.
Making it as easy as possible for customers to pay for their purchases is a vital objective if you want to optimize the conversion rate of your ecommerce website. With Magento extensions for payment and security, you can provide your customers with convenient payment options while also ensuring that their sensitive financial data is kept secure.
The mPower Subscription and Recurring Payments extension by PowerSync is a solution that makes it easy for Magento store owners to create a recurring revenue business model.
With this extension, you are able to create and manage subscriptions for your products and easily accept recurring payments from customers who sign up for a subscription.
Stripe Payments is one of the most popular payment processing solutions for ecommerce store owners.
With Stripe Payments, merchants are able to provide customers with convenient and secure payment options that support almost every currency and payment method in existence today.
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📚 Recommended reading: Our guide to ecommerce payment processing.
Streamlining the checkout process as much as possible is a vital goal for merchants that want to reduce their abandoned cart rate. With Smart One Step Checkout from Aheadworks, store owners are able to provide customers with an Amazon-like, one-click checkout experience by easily adding or removing predefined fields on the checkout page.
According to data from eFulfillment Service, the average cost to fulfill an order for online retailers is 70% of the order value.
In order to keep your shipping and fulfillment costs as low as possible while also providing a great customer experience, it is essential to create an optimized shipping and fulfillment process, which is something that these Magento extensions for shipping and fulfillment are sure to help with.
ShipStation is an extension that provides a number of tools and features designed to help store owners streamline their order fulfillment process, including the ability to:
Use Gorgias? See how we integrate with ShipStation.
Having products go out of stock is something that can often lead to lost business. With Amasty Pre Order, though, merchants can enable customers to easily pre-order products that are out-of-stock or products that have yet to be released.
Quality data is the fuel that powers successful ecommerce stores. With these Magento extensions for data and reporting, you can leverage a variety of tools for collecting and analyzing customer data, providing you with the insights you need to optimize the customer experience on your online store.
WeltPixel Google Analytics Enhanced Ecommerce is a solution that automatically syncs data from your Magento store to your Google Analytics account, allowing you to easily track and analyze an incredibly wide range of data regarding your customers and website visitors.
Customer surveys are one of the most effective tools for gathering zero-party customer data. With Mopinion Feedback Surveys, you are able to embed customizable survey forms on your Magento website. Mopinion Feedback Surveys also allows you to create email surveys and app-based mobile surveys as well.
Keeping up with the finances and accounting for your ecommerce store can often be a complex and time-consuming process. Thankfully, these Magento extensions for finance and accounting provide plenty of helpful tools for keeping you organized and automating a lot of tedious accounting tasks.
QuickBooks Online is arguably the most comprehensive ecommerce finance and accounting solution on the market today.
With the Magenest Quickbooks Online extension, you can automatically sync data from your Magento store to QuickBooks Online, making it easy for you to utilize QuickBooks' many tools and features for more accurate and efficient accounting.
With sales tax rates differing from state to state, county to county, and city to city, keeping up with how much sales tax you owe for each purchase can quickly become dizzying.
TaxJar Sales Tax Automation, however, is able to automate the entire sales tax life cycle across multiple sales channels, including sales tax calculations, nexus tracking, and reporting/filing.
From a powerful ticketing system and auto-responders to live chat and customer intent detection, Gorgias has what your Magento store needs to provide a top-notch customer experience.

Quick summary:
A great customer experience relies on much more than positivity and kindness — your customers expect personalization at scale, self-service options, and concrete benefits like free shipping. That said, using the right words is an important factor in customer conversations.
Positive scripting is one practice that can help your customer service representative steer customer interactions toward desired outcomes (like upselling shoppers and bringing first-time customers back for a second purchase).
However, over-relying script templates in customer support is a shortcut to unhelpful customer care interactions. Read on to learn how to make the most of positive scripting while also avoiding its pitfalls.
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Positive scripting is the practice of creating canned responses for customer service interactions that use positive language to limit customer frustration and promote desired outcomes.
With positive scripting, brands can provide support reps with resources such as scripts and templates that they can use to help ensure positive customer interactions. These scripts and templates can also be used as training resources to provide reps with examples of constructive interactions and positive language.
There are several goals that brands can accomplish with positive customer service scripts, including:
Positive scripting can be used across numerous contact centers and customer support channels.
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Like any customer support practice, positive scripting should be tweaked for each channel.
Providing support via a phone call requires reps to be quick on their feet, and this is where the practice of positive scripting first originated.
Providing call center scripts to your call center agents can go a long way toward helping agents stay positive and on-brand when there isn't much time for them to formulate a response.
Agents have a little more time to think about their SMS responses, but not much. Customers contacting your support team via SMS still expect swift responses, and positive scripting can help ensure that your SMS responses are swift, positive, and on-brand.
Like SMS, live chat conversations tend to be fast-moving — and this is one of the primary reasons why many consumers list live chat as their preferred customer support channel.
With positive scripting and live chat tools like Gorgias live chat, you can provide fast, convenient, and helpful support via this advantageous channel.
📚 Recommended reading: Find out how Gorgias customer Ohh Deer used Gorgias chat to generate $12,500 in revenue — per quarter.
Support reps can typically put a little more time and thought into their email responses.
Nevertheless, email templates with positive scripting can still help keep these responses positive and consistent while also enabling reps to respond to email queries more efficiently.
Providing support via social media is a great way to meet your customers where they're most comfortable — and positive scripting helps keep these responses positive and on-brand.
This is especially important when responding to comments and posts that other potential customers are likely to see.
Scripts, templates, and automated responses should all be built using positive scripting.
If you use a helpdesk, chances are you can build a library of templates in the tool for agents to use during customer conversations.
For example, you can use Gorgias Macros to build positive templates and autoresponses. Unlike most templates, Gorgias Macros pull customer information from ecommerce platforms like Shopify and BigCommerce, as well as other ecommerce tools (like Klaviyo and ShipBob) to automatically personalize the response.
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Even better? Thanks to automated Rules, Gorgias can automatically send these personalized templates to customers for basic interactions — like WISMO (where is my order), questions about shipping and return policies, and so on.
This way, your customer service team time saves time while still fostering a great, personalized customer experience.
You can use positive scripting to guide customer service training by using customer support scripts with positive language as examples of beneficial customer interactions.
This helps new team members get a feel for expectations regarding your company's voice and tone, which they can reflect in their individual customer interactions.
When used correctly, positive scripting can improve the quality of a brand's customer support services in several key ways, including:
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Did you know that 54% of customers say they would stop purchasing from a brand after just a single bad experience? If you want to promote customer loyalty and repeat business, it's vital to provide positive experiences throughout every step of the customer journey.
Likewise, repeat customers generate 300% more revenue than first-time shoppers, according to our data from over 10,000 ecommerce brands. Repeat customers place repeat orders, place larger orders, refer friends to your store, leave product reviews, and more.
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While many different elements go into crafting positive customer experiences, facilitating friendly and welcoming customer interactions with positive scripting is one important step.
Using positive words and language may not solve a customer's problem, but it can help ease their frustrations. Positive scripting is an effective way to de-escalate angry customers — and a great way to prevent customers from ever becoming angry in the first place.
Your customer service agents don’t just need to be positive, they need to follow the same policies and procedures, especially for common customer interactions. Using scripting to guide
Of course, you can also specify which policies agents can bend, and when. For example, if repeat customers ask for an extension on refund eligibility, it’s probably in your best interest to permit the return rather than frustrate a repeat customer.
📚Recommended reading: Our guide to creating a customer service policy that actually provides value.
Positive scripting helps you maintain a consistent brand voice, but, just as importantly, it also helps you maintain a positive brand voice. By using positive scripting to guide your brand's messaging, you can carefully (and intentionally) design your language to encourage customer satisfaction and beneficial outcomes.
A majority of customer interactions can become more pleasant and productive with positive scripting. Here are some scenarios that would benefit from positive scripting:
The biggest potential drawback of positive scripting is one that we've already touched on; customers who contact your call center or other customer support channel want to feel as though they are talking to a real human and not a robot regurgitating a script.
It's also vital to remember that customers are ultimately much more interested in resolving their problems quickly than in the language that your reps use. Many times, a simple message with the information they're looking for (such as a tracking number) will suffice with no flair or positivity required.
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To prevent positive scripting from harming your customer interactions rather than improving them, here are a few other key mistakes and pitfalls to avoid:
These are all serious mistakes to avoid if you want to make the most of positive scripting. When used appropriately, though, the benefits of this practice far outweigh its cons.
Positive scripting is a powerful tool for ecommerce brands to leverage, but it's important to use it correctly. Here are the seven best practices that you should employ to make the most of positive scripting (and avoid its pitfalls).
The scripts you give your support reps should be used for the most common, predictable part of customer interactions rather than mapping out the entire conversation.
For example, your agents might use a script to greet customers and share information about your shipping policy (in response to a question about shipping). But, the agent should be flexible enough to include unique information or handle follow-up questions that may not be so predictable.
“I like to think of Macros as guidelines. When you open up a Macro, it's not 100% the right thing to say, because you have to match the customer’s tone and specific query. And it's up to the agent to understand that and adjust along the way — but Gorgias gives you the tools to do that.”
— Leeor Cohen, Founder and CEO at CreateCX
If you require your agents to follow a script from start to finish, you risk sounding robotic and not providing agents with the flexibility they need to keep customers happy.
Customers who cannot track their order, received the wrong item, or want to make a return are just a few examples of common situations where customers are sure to welcome a little friendliness and empathy — along with helpful information and clear next steps.
Using positive scripting to create responses to these common situations helps your brand handle these issues consistently and ensure that they are handled with care and positivity.
All you have to do is identify the questions that your support team receives most frequently and then load positive, brand-consistent responses into your helpdesk:
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While each brand varies, some of the most common situations include:
Customer service reps should be free to deviate from scripts when needed or inject them with their unique flair. Encouraging your reps to use scripts as a guide rather than a word-for-word requirement ensures that your brand doesn't script away its human touch.
We love this example of an agent bending a policy and sparking up a delightful conversation:
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Along with using customer service scripts to guide customer interactions in the moment, you can also use them as resources for training your representatives. Once again, not everything that your agents say will be scripted, so ensuring they understand the principles behind positive scripting is just as important as providing the scripts themselves.
Using scripts to showcase what positive customer interactions look like will allow your agents to leverage positive language even when they aren't using a script. For example, you can use scripts to demonstrate mock customer service interactions and then dive into the specifics of why the scripted responses you've created work well for those situations.
📚 Recommended reading: Our Director of Support’s guide to customer service training.
Several of the tips we've already covered are geared toward preventing support agents from sounding wooden or robotic, and this is an essential consideration when using positive scripting.
By using scripts to initiate an interaction rather than scripting the entire conversation, giving agents the freedom to add their own flair to the scripts, and adding personality to the scripts you create, you can avoid this common pitfall of positive scripting.
It's also vital for your reps to demonstrate genuine empathy throughout customer interactions to avoid sounding uncaring and robotic. This can't be easily scripted, making it important to ensure that your reps know how to adopt an empathetic tone and approach.
📚 Recommended reading: The ultimate guide to offering personalized customer service at scale.
Your agent's initial greeting to a customer sets the tone for the rest of the interaction. It's also one of the easiest parts of customer interactions to script since the initial greeting will largely remain the same regardless of the customer's specific issue or sentiment.
Stating the company name and the agent's name, asking the customer's name, telling them good morning/good afternoon, and assuring them that you are happy to assist them are all great elements to consider including in your greeting script.
Like almost every aspect of ecommerce, positive scripting in customer service is something you can continually improve with proper testing. CSAT surveys are one excellent way to gather customer feedback following a customer support interaction. You can use the feedback you gather from these surveys to fine-tune your customer support scripts.
For instance, if many customers complain that your reps sound unempathetic or robotic, you may want to revisit the language of your scripts or encourage your agents to inject more of their own personalities. Throughout testing and refining your scripts, keep in mind that script building should be a collaborative experiment, with customer service teams working alongside reps and using data from past customer service interactions to guide the process.
Positive scripting is one effective way to improve the quality of your brand's customer support and encourage more positive customer experiences. However, it's also just one small element of high-quality, revenue-generating customer support.
If you would like to offer the type of fast, positive, and helpful customer service that will set your brand apart from the competition, it's important to use the right customer support tools.
With Gorgias' industry-leading customer support platform, you'll be able to leverage a range of advanced customer support tools and capabilities — all designed to boost customer satisfaction by improving both the speed and helpfulness of your support services.
To get started offering positive, fast, and helpful customer support via the best ecommerce customer support platform on the market, be sure to sign up for Gorgias today!
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Maximizing peak season sales isn’t only about driving customers to your website. If website visitors people encounter a slow, unhelpful, or lackluster customer experience, they’ll click away before buying — flushing away all your marketing efforts and dollars.
In a recent webinar, Caela Castillo, Director of Customer Experience at luxury men’s jewelry brand Jaxxon, shared Jaxxon’s strategies for optimizing customer experience to maximize revenue during peak season.
We’ll start with some of the most concrete strategies Jaxxon leverages, and wrap up with some bigger-picture insights on how Caela manages the team.
You can also hear Caela share these tips herself by watching the webinar here.
Last year, Jaxxon had what Caela describes as a very successful but challenging peak season, when customer support tickets skyrocketed to three times normal levels. As a result, Jaxxon has stepped up its approach to optimizing customer support for efficiency and self-service during the 2022 peak season.
Here are the tactics and tools Jaxxons used to manage ticket spikes this year:
Jaxxon uses Gorgias Quick Response Flows to answer frequently asked questions during peak season. Caela and her team customize the questions and answers so that customers can get an instant response to common queries.
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“We really noticed that adding automated self-service with Gorgias took part of the load off us. A lot of customers’ questions are answered by self-service, so then they’re happy and we don’t have to do anything further with those tickets,” Caela says.
Automating these responses has two-fold benefits:
“If the customer has additional questions, then our agents have the time to have an authentic conversation with them, and give them a really great experience.”
Caela regularly reviews recent customer conversations to monitor individual agent performance and identify areas for improvement or lessons learned. Using Gorgias tags — automatically applied to customer tickets for categorization and filtering — Caela can also get a sense for the most common customer questions and issues.
“If we're noticing a trend with a certain issue, then we want to solve it right away rather than figure it out weeks from now when it’s a bigger issue,” Caela explains. “So we don't want to only review tickets once a month. We want to do it in real time.”
Jaxxon realizes that any peak season is a starting line, not a finish line. Providing an awesome first customer experience doesn’t just net a sale. It nurtures longterm relationships and turns happy customers into loyal brand advocates.
“We want to make sure that first shopping experience is really great — everything from the customer support to the shipping to the box it arrives in — so they want to come back and buy again. We listen to our customer reviews and we really want to help people have a great experience.”
Jaxxon invests in ongoing training and support to ensure its customer service agents have the knowledge, skills, and tools they need to do their job confidently and effectively.
“Sometimes customers are a little hesitant about buying something as expensive as solid gold online. And our agents can explain to them the difference between our products, or suggest an upgrade, or say, hey, would you like this bracelet to go with the Cuban link chain you bought last time?” says Caela.
“For our agents to be able to upsell and cross-sell like that is super important for us — and it works.”
Quick Response Flows help Jaxxon open the door to some of these conversions. Providing quick, helpful answers about product restocks, sizing, shipping and more, lays a positive foundation that human agents can easily build on.
One of the biggest challenges during any peak season is thinking ahead so that your team — not just your customers — succeed.
First off, make sure you have enough customer service agents in place to cope with soaring demand. Jaxxon has increased its customer support team for this year’s peak season.
Caela uses a zoning plan to stagger agents’ shifts across different time zones and locations, so there is always enough coverage for Jaxxon’s 24/7 customer support. She adapts this as peak season unfolds to meet shifting demand.
“Having open communication is essential. We always say there are no stupid questions. We’re here to help each other. Even though we work remotely, we're still able to communicate really well and work as a team.
Once the team is in place, get them ready. “Training your team is really important, and making sure they have the resources and support they need,” Caela says.
📚 Related reading: How to stand out during Black Friday with 18 marketing strategies
“Keeping morale high is so important for peak season, because it’s a busy time in life, not just at work,” Caela says. This is a unique situation in ecommerce — did anyone else have a turkey in the oven while answering support tickets during BFCM?
“Everyone gets stressed; sometimes people get sick. It's hard to sustain motivation sometimes. So we want to make sure everyone's really taken care of and set up for success. And we try to make it fun for the team.”
A culture of mutual support among the Jaxxon customer service team is reinforced by team-based incentives to win gift cards, jewelry and more when certain targets are met.
“A positive attitude goes a long way to keeping people motivated. You get so much farther if you're kind and positive. And I’m very big on looking at difficult situations as learning experiences. And if someone is struggling, other team members will help them so we all rise together.”
📚 Related reading: How Jaxxon offers motivates agents with rotating customer support incentives.
Having the right systems in place to manage customer support more efficiently is important at any time of year. But it has the biggest impact during peak periods when demand balloons.
“You have to prepare for the worst, in terms of very high demand. Things just get crazier as peak season progresses! So make sure to have your self-service and automation set up and ready to go,” says Caela. “After last year’s challenges, we've made sure to have stronger systems in place this year.”
Jaxxon now uses Gorgias to manage all customer conversations. This helps the team work more efficiently in several ways:
Implementing self-service chat has cut Jaxxon’s live chat volume by 17%, yet increased conversions by 6%. Meanwhile, revenue generated by chat has shot up by an impressive 46%. The overall impact has been positive for customer experience and Jaxxon’s bottom line.
Read more about how Jaxxon uses Gorgias to speed up response times without sacrificing the quality of customer service.
By assembling a larger, well-trained customer service team and putting the right tools in place, Jaxxon is poised to continue delivering high-quality customer service this peak season — even when ticket volumes triple. Caela and her team are excited to dive into the peak season. With Gorgias by their side, they are ready to ride out whatever challenges come their way.
To hear the full story of Caela’s tips, lessons learned, and Jaxxon’s preparations for peak seasons, watch the webinar replay.

Yohan Loyer started his job at Gorgias as the first Customer Success Manager for Europe. His current position is EMEA Partner Manager, with the goal of growing Gorgias’ presence in Europe, the Middle East, and Africa (EMEA). The role boils down to building meaningful relationships and being a reliable, trustworthy partner for our agency partners.
In this interview, Yohan tells his story and we learn more about his internal career development and the environment Gorgias provided to nurture it accordingly.
My role is to help our ecommerce agency partners:
As a social person who likes to interact with other people and has hands-on experience working with Gorgias customers, this role is a great fit for me. There really is no chance to be bored in Partnerships!
I did my undergraduate degree in international business in New York, where I got a scholarship to play for my university’s soccer team. Then, I did my master's in Business Consulting and Information Systems Management in France.
Right after university, I worked as an IT consultant and then moved to Salesforce as part of the EMEA customer success team in Dublin. I worked as a Customer Success Manager (CSM) for 3.5 years, when my main focus was helping the company’s customers get the most out of the Salesforce platform and resources.

Apart from that, I have always been passionate about new technologies and how they impact the world, so continuing to work in tech and ecommerce at Gorgias is not a coincidence.
I was looking for a role in a fast-growing company in the ecommerce space with an innovative product, strong company culture, and competitive package. I did some research online and found out about Gorgias on an ecommerce blog, if I remember correctly.

Gorgias had everything I was looking for. They were also hiring for their first Customer Success Manager in Europe at that time, so it was perfect timing for me to apply!
I was initially recruited as the first Customer Success Manager (CSM) in Europe. We already had one Onboarding Manager in Europe when I joined (Emna Charfi, who is now the manager of our Customer Success team).
She was already working as a CSM with some customers (on top of her main role as Onboarding Manager). Even after I joined as the first full-time CSM in Europe, she continued as the CSM for some of our largest customers while I onboarded.
After a few months, I took over as the Customer Success Manager for our largest European customers for about 1.5 years, before transitioning to the Partnerships team last July.
I worked closely with Louis Lavedan from the Partnership team when I was a CSM, so I got to see what Partnerships was like. When he moved to San Fransico, taking over his role as Partner Manager for EMEA seemed like a logical next step.
The Gorgias team has always been super helpful and available with me and new team members in general.

Learning directly from colleagues has definitely been one of the highlights of my onboarding and overall experience with Gorgias. Whether it is answering questions on Slack, sharing screens, recording Loom videos, or jumping on a quick call, there is always a Gorgian ready to help!
The two managers I worked with both have hands-on experience with Gorgias customers and partners, and a genuine desire to be helpful and see their team members grow. They are always reliable and helpful when needed, which builds trust and promotes a culture of feedback and transparency.
Gorgias as a company is obsessed with scaling and automating processes, and my managers have definitely lived up to those values and helped me become more efficient and see the big picture when working on projects.

At Gorgias, we are also lucky to have a best-in-class product and grow at a very rapid rate, which comes with a lot of super interesting challenges and opportunities. The company has a really unique positioning with an obsession for customer satisfaction, which all contribute to a great environment to work in.
My experience at Gorgias so far has been very much aligned with our core values, especially “Customer first”, and “Maximize your impact”.

We live and breathe for customers, automate time-consuming tasks, share best practices with the rest of the team, and try out new tools and processes — all with the end goal of providing a better product and experience to merchants who use Gorgias.
Our managers highlight Gorgians who are living up to our core values weekly on our Slack channels, so we get to see first-hand all the great things our team does in accordance with our values.
As someone who worked closely with customers for all of my career, I think that my favorite thing at Gorgias is our huge focus on customer experience and satisfaction. Making our customers happy and successful, independent of their size, is our target and biggest investment as a company.
Whether it is reviewing our processes to make sure they benefit our customers, going the extra mile when helping our customers out, finding workarounds, prioritizing product features, or letting our customers get on a call with our highly available success and support teams, we are always doing things with our customers’ interest in mind.
I guess it would maybe be the name of the company (haha). Simply because it’s hard to pronounce. Also, people don’t read or hear “Gorgias” for the first time and instantly know what we do.
As I started my new role as EMEA Partner Manager recently, my focus is becoming a great Partner Manager, first and foremost.
We have a pretty good presence and network in Europe, but it’s still in the early stages compared to the US. I am learning and getting a lot of help from our US team who built a very strong market presence and brand in the US, and I am super excited to help develop the Gorgias brand and customer base in Europe, the Middle East, and Africa!
Interested in joining Yohan and the rest of Gorgias team? Check out our jobs page to learn more about our benefits, interview process, and open roles.

TL;DR:
Your tech stack can make or break your ecommerce business, but most new store owners don't realize it until they're already drowning in disconnected tools and manual workarounds.
The right combination of tools should result in fuss-free customer experiences, automated tasks, and the ability to scale effortlessly. Choose the wrong stack, and you’ll have a piling tech debt (and wasted budget) than you know what to do with.
In this guide, you'll learn what an ecommerce tech stack is, why it matters, how to evaluate and choose the right tools for your business, and how to build a stack that grows with you — without the costly mistakes most founders make.
An ecommerce tech stack is the collection of digital tools and software that work together to run your online store. These tools handle sales, marketing, customer service, fulfillment, payments, and other essential operations while revealing customer insights that fuel growth.
Your tech stack has two main parts:
According to Gorgias’s 2025 Ecommerce Trends Report, most ecommerce professionals use 3-5 apps to perform their day-to-day tasks.
A typical stack includes your ecommerce platform (like Shopify or BigCommerce), CMS, CRM, payment gateways, analytics tools, and customer support software. These tools connect through APIs so data flows smoothly between them — avoiding data silos that slow you down.
Pro Tip: Use builtwith.com to scan the back-end of any website to see the tech it uses.
A poorly assembled tech stack creates slow site speeds, lost sales, and frustrated teams drowning in manual work. The tools you use directly impact every aspect of your business, from customer experience to operational efficiency. Here's why getting it right matters.
The right tools improve site speed and streamline checkout, reducing friction at every touchpoint. Customers expect pages to load in under three seconds and checkout to take less than a minute.
Integrated tools automate repetitive tasks and unify customer data across channels. Your team spends less time switching between platforms and more time solving problems.
When your tools connect properly, you get analytics that show the complete customer journey. You can identify bottlenecks, optimize campaigns, and make data-driven decisions rather than make uninformed guesses.
The right stack handles growth without requiring a complete rebuild. As you add new channels, products, or team members, your tools should scale with you — not hold you back.
Avoiding redundant tools and reducing manual work saves money over time. Understanding your total cost of ownership (TCO) — including implementation, training, and maintenance — helps you invest wisely.
Selecting the right tools requires careful evaluation beyond flashy features and marketing promises. The wrong choices lead to wasted budgets, frustrated teams, and technical debt that's expensive to fix. Consider the following as you build your stack.
Go beyond looking at the monthly subscription price to gauge total cost of ownership (TCO). Look at implementation costs, training time, maintenance efforts, developer hours for customization, and migration costs if you outgrow the tool. A $50/month tool requiring 40 hours of developer time costs far more than a $200/month plug-and-play solution.
Most AI tools have usage-based pricing models, which makes it easy to scale, but makes budgeting harder. Set a realistic budget early, factor in growth projections, and balance costs against ROI — will the tool save team time, increase conversions, or reduce cart abandonment?
When evaluating costs, ask yourself:
Consider ease of use for both technical and non-technical users on your team. A powerful tool that requires developer expertise for basic tasks will slow you down if your marketing team can't use it independently.
When evaluating complexity, ask yourself:
Yes, some complexity is unavoidable for enterprise-grade features, but unnecessary friction kills adoption and will cost you productivity during the transition period.
Your tools have to integrate seamlessly to create a connected ecosystem.
For this reason, native integrations are always preferable. They're faster, more reliable, and easier to maintain than third-party connectors.
For example, Gorgias offers 100+ integrations with ecommerce platforms, marketing tools, and shipping providers, allowing support teams to access order data, modify subscriptions, and process refunds without leaving the helpdesk.
When evaluating compatibility, ask yourself:
Evaluate the vendor's support quality before committing. Check reviews from current customers about their support experiences and documentation quality. These include knowledge bases, video tutorials, and active community forums.
For enterprise plans, review the service level agreement (SLA) carefully. It should define expected uptime percentages, response times, and solutions if the vendor fails to meet commitments.
When evaluating support, ask yourself:
Scalability means the tool grows with your business without requiring a complete overhaul. User-friendliness drives team adoption. If your staff finds the tool frustrating, they'll find workarounds that undermine your data quality and workflows.
Test tools with actual team members who'll use them daily, not just decision-makers. The best tool is the one your team will actually use consistently.
When evaluating scalability and usability, ask yourself:
Your tech stack architecture reflects the balance between flexibility and control and the speed of launch.
You don’t have to pick one or the other. Most businesses land somewhere on the spectrum between fully managed solutions and completely customized, composable architectures.
Your decision depends on your technical resources, growth stage, and how differentiated your customer experience needs to be.
Architecture Type |
Best For |
Pros |
Cons |
|---|---|---|---|
Managed SaaS |
Businesses wanting quick launch with minimal technical resources |
Faster setup, automatic updates, built-in security, predictable costs |
Less customization, ongoing platform fees, potential vendor lock-in |
Self-hosted |
Businesses with dedicated developers and specific requirements |
Complete control, unlimited customization, no platform transaction fees |
Responsible for security, scaling, updates, troubleshooting |
Composable / Modular |
Businesses wanting best-of-breed tools and flexibility |
Avoid vendor lock-in, swap tools as needed, specialized solutions for each function |
Requires integration work, ongoing maintenance, technical expertise |
Headless / API-First |
Brands building omnichannel experiences across multiple touchpoints |
Update front end without touching back end, custom experiences, device flexibility |
Requires developer resources to build and maintain front end |
Managed SaaS platforms handle hosting, security, and updates automatically. You get faster setup, automatic updates, built-in security features, and predictable monthly costs. These are well-known platforms, like Shopify and BigCommerce, which are fully managed. You don't worry about servers, patches, or uptime. The tradeoff is less customization and ongoing platform fees.
Self-hosted solutions give you complete control over your infrastructure. You can customize every aspect of the experience and avoid platform transaction fees. But you're responsible for security, scaling, updates, and troubleshooting. Self-hosted works best when you have dedicated developer resources and specific requirements that managed platforms can't meet.
Composable commerce means building your stack from tools that integrate via APIs. Instead of one platform handling everything, you select specialized solutions for each function. For example, an app for checkout, another for content, another for search. This approach maximizes flexibility over being pilot-ready.
The benefits are clear: You're never stuck with mediocre features in one area because you love the platform's other capabilities. You can swap tools as better options emerge. On the opposite end, it requires more integration work, ongoing maintenance, and technical expertise. Your biggest dependency? Someone who can troubleshoot when integrations break or APIs change.
Headless commerce separates your front end (what customers see) from your back end (where data is managed). You can update your storefront design without touching back-end systems, or vice versa.
This architecture shines for brands building omnichannel experiences. However, you’ll have to sacrifice time and effort to build and maintain the front end. Headless isn't necessary for most businesses starting out, but it becomes more valuable as you scale.
API-first platforms expose all functionality through APIs, making it easier to build custom experiences across any device or touchpoint. This approach enables seamless integration between tools and allows you to access data and features programmatically, giving you maximum flexibility in how you build and scale your customer experience.
Every ecommerce tech stack is made up of foundational layers. Understanding each layer helps you identify gaps in your current setup and make smarter vendor choices.
Your ecommerce platform is the foundation — it's where you build your online storefront, manage products, and process orders. Popular options include Shopify, BigCommerce, WooCommerce, and Magento. Managed platforms like Shopify handle hosting automatically, while open-source options like WooCommerce require separate hosting arrangements.
Whether you choose managed or self-hosted, prioritize platforms with strong performance track records and reliable infrastructure. Look for built-in CDN support, image optimization, and mobile responsiveness out of the box.
Tip: Site speed and uptime are critical. Even a one-second delay can reduce your sales significantly.
A content management system (CMS) controls how you create and publish content beyond product pages. These include blog posts, landing pages, promotional banners, and educational content. Many platforms include basic CMS functionality, but brands with content-heavy strategies often need bigger solutions.
Headless CMS platforms like Contentful or Sanity lets you manage content separately from your storefront and push it to multiple channels. This matters if you're publishing across web and other touchpoints. For most businesses, the CMS built into platforms like Shopify is sufficient.
Payment gateways and processors securely handle transactions between your customers and their banks. Options like Stripe, PayPal, and Shop Pay each offer different features, fees, and geographic coverage. Your checkout experience directly impacts conversion rates, so prioritize speed and simplicity.
Security and compliance are non-negotiable. Your payment solution must be PCI DSS compliant (Payment Card Industry Data Security Standard) to safely process credit card information. Most managed platforms handle this automatically. Consider offering multiple payment methods — credit cards, digital wallets, buy now pay later — to reduce friction at checkout.
Inventory management systems (IMS) track stock levels across locations and channels, preventing overselling and stockouts. Order management systems (OMS) coordinate fulfillment, shipping, and delivery tracking. For larger operations, these might be separate tools; smaller businesses often use platform-native features.
Returns and exchanges platforms streamline the post-purchase experience. Tools like Loop Returns and ReturnLogic create self-service portals where customers can initiate returns without contacting support.
For end-to-end fulfillment, 3PL partners like ShipBob handle warehousing, picking, packing, and shipping, plus platforms like NetSuite offer comprehensive ERP solutions for larger operations.
A CRM (Customer Relationship Management) system stores customer data, tracks interactions, and manages the entire relationship with a customer. Customer support platforms handle inquiries across multiple channels — email, chat, social media, SMS, and voice — from a unified dashboard.
Gorgias is a unified platform for support and sales, built specifically for ecommerce. It centralizes conversations from every channel, giving agents instant access to order history, customer preferences, and inventory levels without switching tabs. Gorgias’s AI Agent can automate 60%+ of repetitive questions 24/7, route tickets to human agents, and can even modify orders, offer upgrades, and personalize recommendations interactions.
Other options include Salesforce for enterprise-level CRM and HubSpot for marketing automation, combined with basic CRM functionality.
Web analytics platforms track customer behavior, traffic sources, and conversion funnels. Google Analytics is the standard for understanding how visitors interact with your site. More advanced options like Mixpanel offer deeper product analytics and cohort analysis. Business intelligence tools help you aggregate data from multiple sources into actionable dashboards.
Performance monitoring tools track site speed, uptime, and user experience metrics in real-time. The goal is reporting that connects marketing spend to revenue, customer lifetime value, and operational efficiency. Without proper analytics, you're making guesses.
Don’t overlook the potential for security breaches to occur. Ecommerce businesses handle sensitive financial and personal data, making them prime targets for attacks. Building security into your tech stack from day one is far easier and cheaper than retrofitting it later. Here are the essentials.
PCI DSS compliance is legally required if you process, store, or transmit credit card data. Most managed platforms handle this automatically, but if you're self-hosted, you're responsible for maintaining compliance through regular audits and security updates.
Data encryption at rest and in transit protects customer information from interception. Use HTTPS everywhere, encrypt databases, and ensure your payment processor uses tokenization.
Access controls limit who can view and modify sensitive data. Implement multi-factor authentication (MFA) for all administrative accounts, use identity and access management (IAM) systems to enforce role-based permissions, and audit access logs regularly.
Web application firewalls (WAF) protect against common attacks like SQL injection and cross-site scripting. Many managed platforms include WAF protection; self-hosted stores need dedicated solutions.
Compliance requirements vary by region. GDPR (Europe) and CCPA (California) mandate specific data privacy practices, including customer consent for data collection, the right to deletion, and transparent privacy policies. Failure to comply results in significant fines.
Managed platforms typically include compliance features, but you're still responsible for how you use customer data. Review your vendors' security certifications and data processing agreements to ensure they meet your requirements.
Your tech stack needs room to grow without reactive overhauls. This means choosing tools that can handle increased traffic, new channels, and expanding teams. It also means building automation and analytics into your function. Here’s how.
Automation frees your team from repetitive tasks so they can focus on strategic work. Start with high-volume, low-complexity processes, i.e., answering where is my order tickets, fulfilling return and refund requests, and sending out shipping updates and inventory alerts.
Workflow automation tools connect your apps and trigger actions based on specific events, automatically adding customers to email sequences, updating your CRM, and creating fulfillment tasks.
Customer support is your direct line to your loyal followers. Using AI-powered automation lets you satisfy customers with immediate replies 24/7, without a big lift.
Gorgias's AI Agent, for example, helps hesitant customers pick the right product and move them closer to a sale. It can even execute Shopify actions autonomously, making order edits and address self-serve.
Performance monitoring tools track uptime, response times, error rates, and user experience metrics across your entire stack. Dashboards should alert you to issues before customers complain. Regular monitoring helps you identify bottlenecks, optimize slow queries, and plan capacity upgrades proactively.
Review your tool usage and costs every quarter. Are you paying for licenses your team doesn't use? Do you have tools that overlap in functionality? Unused subscriptions quietly draining your budget every month?
Cut tools that don't deliver clear value to keep your stack lean, efficient, and focused on what moves the business forward.
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Building your tech stack works like furnishing a new home — you don't buy everything on day one. Start with the essentials, identify what's missing as you go, and add the right pieces gradually. The best approach is methodical.
Map out every tool your team currently uses across all departments. Document what each tool does, who uses it, what it costs, and how it integrates with other systems. Identify redundancies (multiple tools doing the same job), gaps (critical functions with no solution), and friction points (manual workarounds or data silos). Talk to your team about their daily pain points — they know where the breakdowns happen.
Not all gaps are equally important. Focus first on tools that directly impact revenue (checkout optimization, customer support, marketing automation) or create significant operational friction (manual data entry, disconnected systems). Score potential solutions based on expected ROI, implementation complexity, and strategic importance. Build a phased roadmap rather than trying to fix everything at once.
Start with proof-of-concept trials on a small scale. Test with a subset of products, a single customer segment, or a small team. Measure results against clear success criteria before committing to annual contracts or company-wide deployment. Pilots reveal integration issues, usability problems, and unexpected costs that demos never show. Get stakeholder buy-in by demonstrating real results, not vendor promises.
Gorgias integrates with 100+ ecommerce tools, centralizes all customer interactions, and uses conversational AI to automate repetitive customer requests, so you can continue growing.
Book a demo to learn how our platform fits into your ecommerce tech stack and helps you scale support without scaling costs.
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Free shipping has become so ubiquitous in ecommerce that shoppers now expect it.
According to a survey conducted by Forbes, 77% of respondents abandoned their cart because they were unhappy with the shipping options. 84% made a purchase because it qualified for free shipping.
Free shipping isn’t always an option for ecommerce stores though, especially for those with small margins or where shipping is expensive for every order.
These are the best strategies for how to offer free shipping, even if you’re unsure it’s something your business can afford.
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Free shipping has become a key differentiator in a very crowded ecommerce ecosystem, with 75% of customers now expecting it on all orders.
Offering free shipping can drive more revenue for your business, encourage repeat business, decrease cart abandonment, and even pull customers away from your competition.
Let’s be clear: Offering free shipping for all products is not sustainable for most businesses. But free shipping is not all-or-nothing. Below, explore why providing free shipping in some capacity is worth the expense for your business.

One survey found that 90% of consumers consider free shipping to be the primary factor driving them to shop with online retailers more frequently. And, according to Gorgias, repeat shoppers generate 300% more revenue than first-time shoppers, on average.

When customers are online shopping, they remember easy experiences, which includes not having to pay for shipping when they find something they love. A stress-free experience (without unpleasant surprises at checkout) creates loyal customers who want to shop with your business long term.
📚 Recommended reading: Learn why customer experience is a largely untapped revenue stream for most ecommerce brands.
On top of that, some free shipping models encourage customers to place larger orders, generating more revenue per customer.
Take the minimum order value model (what you might call the Amazon not-Prime model), where shipping only becomes free once the cart reaches a certain subtotal. Depending on which study you prefer, at least 84% — and perhaps as many as 93% of customers — have added items to their cart to qualify for free shipping, increasing average transaction value and potentially total revenue per customer.
When you offer free shipping and a competitor doesn’t, that single difference can pull new customers your way — and away from the competition. When 90% of consumers consider free shipping their top incentive and a full 60% of them expect free shipping no matter what, offering it is a huge differentiator for your customer base.
📚Recommended reading: 7 Strategies for Creating a Customer-Centric Post-Purchase Experience
One firm determined the overall rate of cart abandonment in ecommerce stores is north of 75%, and unexpected charges (including shipping charges) at checkout are the top culprit.

In other words, providing free shipping — and keeping other unexpected fees out of the checkout process — will reduce cart abandonment and increase conversion rate for typical ecommerce businesses.
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Making the decision to implement free shipping isn’t always as simple as flipping a switch. It takes careful planning and even more careful execution. Consider the following factors to help you understand the cost of free shipping for your business and decide if it’s the right move for you.
The demand for free shipping has changed the way that small businesses choose to operate. For example, writer Amanda Mull at The Atlantic reveals how free shipping priorities (and algorithms favoring the vendors who offer it) have hurt numerous small business owners on Etsy.
If you’re operating on razor-thin margins and you’re already struggling to be price-competitive, pivoting to an always-free shipping model might not be feasible. Even if your margins are healthy, for many smaller ecommerce retailers, blanket free shipping isn’t sustainable or feasible—nor are the extra costs that come with it.
On a spreadsheet, compile the shipping costs for every product you sell — from the smallest and lightest to the largest and bulkiest — to all four corners of the US (if you’re a US-based store) and anywhere you ship internationally.
This cost will differ based on your preferred shipping carrier, too. Compare rates between FedEx, UPS, and USPS to see who has the most affordable option — we’ve linked shipping calculators for each above. Once you have these numbers, calculate your average shipping cost. Then, multiply it by the average number of orders you get in one month.
You’ll also want to look at your best-selling items and calculate how much it costs to ship them, as you’ll likely be sending these out more often than other items in your catalog.
Don’t worry about exact numbers here. The goal is to get a ballpark number to compare with your monthly revenue. If your estimated shipping costs will put you in the red, free shipping may not be the best option (even with the bump in orders). If this is the case, consider qualified or flat-rate shipping instead — more on both below.
📚 Recommended reading: Our list of shipping best practices for ecommerce businesses.
Offering a flat-rate shipping charge is one way to give customers a low-cost shipping option without absorbing the entire cost yourself.
Even if you can’t afford free shipping, charging one flat shipping cost for all orders on your site incentivizes larger orders. And, if you can keep the flat rate low, it can convince customers who just want to make a small order to convert.
Setting up flat rate shipping is quick and easy if you use Shopify: Here’s how to do it.
Most brands can’t support universally-free shipping. That’s why a qualified free shipping option based on factors like order size or location is such a good option.
The most straightforward way to offer qualified free shipping is to set a minimum order amount. But in terms of your bottom line, this minimum threshold needs to be high enough that you aren’t losing money on most transactions.
Here’s a formula for calculating your free shipping threshold:

Free shipping threshold = (Average shipping cost per order / gross profit margin percentage as a decimal) + average value of an order
Free shipping threshold = ($10 / .30) + $50
Free shipping threshold = $83.33
The result you get from this formula is the average amount at which free shipping won’t create a loss for you.
Now in some cases that figure will be too high to be all that relevant. “Free shipping on orders $350+” can make sense for some retailers, but not those with an average ticket of $50.
Fit Small Business gives additional formulas for calculating a minimum threshold that still operates at a loss.
Consider free shipping for returns
Customers hate paying for return shipping. If you can afford it, letting shoppers return an item for free is a great way to avoid driving them away. It also can create repeat business, low-effort experiences, and encourage loyalty.
Of course, free returns leave you vulnerable to expensive spammers and order spikes. So, tighten up your return policy and try to incentivize exchanges over returns to protect lost revenue.
Ecommerce is a wide field, and your business is competing for only a small slice of the market. Look for differentiators with lower cost pressures and high levels of impact that may be unique to your industry or market.
Free shipping isn’t the only thing that matters. Fast delivery also makes a difference in many industries and markets. Can you outmaneuver your competition by offering next-day shipping, even at a premium price? Perhaps your customers will be willing to pay for faster service if it isn’t available elsewhere.
Here are a few other areas you might explore in search of other ecommerce differentiators:
Similarly, you may not be able to prioritize free shipping until you figure out other logistics like inventory management, order management, order fulfillment, order tracking, and returns management.
If you’re ready to put together your free shipping strategy, use these tips to craft a program that’s enticing to online shoppers without destroying your bottom line.
According to research from the Baymard Institute, 48% of shoppers abandoned their cart because the extra costs were too high. People like the transparency of seeing one price without getting surprised by additional fees at checkout.
Speaking generally, most customers would prefer to pay $50 for an item that ships free than spend $45 on the same item, only to discover an additional $5 charge for shipping in their shopping carts. Even though you’re passing shipping costs onto the customer in other ways, you still give buyers the perception of lower costs overall.
Consider raising your prices to include shipping costs to limit surprises at checkout and increase transparency.
Offering free shipping when a customer reaches a minimum price threshold can be a powerful strategy for raising ticket value.
Customers will frequently add more items to reach that threshold, increasing average order value (AOV), overall revenue, and your business’s order volume as a whole.
To make it easy for customers to see how close they are to free shipping, add an app to your ecommerce store (like the Essential Free Shipping Bar for Shopify stores) that shows progress visually. For example, Gorgias customer OLIPOP makes it easy for folks to see how many more packs of soda they need to purchase to get free shipping.

This is also a great way to build upselling into your strategy. When customers are looking for additional items to meet the free shipping threshold, consider showing items that pair well at checkout. This automation is easy to add via the app store if you’re on Shopify, and you can see how OLIPOP sneaks in suggestions in the screenshot above.
If you’re going to offer completely free shipping, make sure you use it as a marketing tool and make it very clear to shoppers. For example, Woxer uses a banner at the top of its site to announce that it offers free shipping across the US no matter the order total.

A cohesive and realistic shipping strategy is highly valuable to any company that ships products to people because it is part of your brand image.
📚 Recommended reading: Our guide to creating an ecommerce shipping and fulfillment strategy.
In a survey conducted by Salesforce for CFO, more than half of survey respondents said that 40% of their revenue was made up of subscriptions.
A subscription format is powerful because it ensures repeat purchases and raises the overall lifetime value (LTV) of customers who opt in. If you choose to become part of the subscription economy, you could choose to offer free shipping on subscriber orders only. That way you limit the amount of free shipping you give, and further incentivize shoppers to sign up for a subscription.
Stores with wide product catalogs that include many low-dollar items may not be able to offer blanket free shipping. But, you can limit free shipping to certain high-dollar product categories, select items within those categories, people who live within a certain distance, or VIP customers.

Here are a few approaches you can use to limit free shipping:
Partnering with a third-party logistics company allows you to split inventory across multiple fulfillment centers throughout the nation. That means they’ll end up closer to customers’ homes, which reduces shipping costs because of location proximity, and means that you can offer faster shipping for less cost.
ShipBob is a great option for this, as they’re a trusted global fulfillment company.
Take care of your shoppers with the Gorgias + ShipBob integration. Sync shipping data with your helpdesk, reduce tab-shuffling, and help you improve customer experience during fulfillment.
Shipping fees are calculated based on item weight, size, speed, and distance to destination. And the size and weight of your packaging contribute to that cost. Cutting down on the dimensions of your packaging where possible and using lighter-weight mailers can lower the cost of each package.
📚Recommended reading: 8 Tips to Minimize Shipping Costs and Maintain Quick Delivery
There’s nothing quite as powerful as a ticking timer, whether it’s a 15% off coupon that’s only good for the next hour or a sale that only lasts for the weekend. Discounts are powerful, but free shipping can be just as enticing.
Consider adding free shipping promotions to existing promotional events such as holiday sales, store anniversary sales, Black Friday and Cyber Monday, and other seasonal events pertinent to your industry and market.
Time-limited holiday sales can be effective, but they also tend to be some of your busiest sales windows in any given year. If you could use some additional help with your logistics this upcoming Black Friday and Cyber Monday, check out our complete guide to BFCM logistics.
📚Recommended reading: The 12 Best Shipping Software Tools for Ecommerce Stores
Free shipping is often one key to a world-class customer experience in ecommerce. But whatever you choose to do with your shipping policies, you absolutely must pair it with world-class customer service and support. Customers will appreciate your free shipping, but they’ll love you (and show it through repeat business) when you outpace the competition in terms of customer service.
Gorgias is an all-in-one customer service and helpdesk platform built for ecommerce businesses like yours. It integrates with a variety of different apps, like LoyaltyLion, Attentive, and Klaviyo. We operate at the speed of ecommerce, empowering you to serve and scale like never before. We also offer support for logistics like free shipping and order management, largely thanks to our many ecommerce integrations.
Ready to see what Gorgias can do? Get started for free right now!

TL;DR:
BigCommerce's app ecosystem offers hundreds of tools to extend your store's functionality beyond its built-in features. The right apps help you automate repetitive tasks, improve customer experience, and drive more revenue. This guide covers the top BigCommerce apps across key categories including marketing, customer service, analytics, reviews, subscriptions, and site utilities. Each app includes pricing details, key features, and ideal use cases to help you make informed decisions. Whether you're looking to automate support, boost marketing performance, or optimize your analytics, there's an app that fits your needs.
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BigCommerce provides solid built-in functionality, but apps unlock capabilities that would take months to build in-house. Apps extend functionality by adding features like subscription billing, advanced analytics, or AI-powered chat that aren't native to the platform. They help you automate repetitive tasks like sending review requests, updating inventory across channels, or routing support tickets.
The best apps offer seamless integration with BigCommerce through native APIs, pulling in customer data, order history, and product catalogs automatically. This means your tools work together rather than in silos. Apps also provide customization options to match your brand and workflows without requiring developer resources.
Most importantly, apps provide scalability — they grow with your business. Here are the core benefits:
Marketing apps help you attract, engage, and convert shoppers into loyal customers. Data from 14,000 brands shows how automation tools turn customer conversations into sales opportunities, demonstrating how the right apps drive measurable revenue. Here are the top marketing apps for BigCommerce stores.
Klaviyo is a top marketing automation app for ecommerce stores. It offers features to help you optimize your email marketing campaigns and SMS marketing flows.
Klaviyo's marketing platform is built specifically for ecommerce. Its advanced segmentation lets you target customers based on purchase history, browsing behavior, and predicted lifetime value. The platform's predictive analytics help you identify customers at risk of churning or ready to make their next purchase.
Klaviyo's integration with BigCommerce pulls in real-time customer data, enabling highly personalized campaigns that drive conversions. You can automatically trigger emails based on cart abandonment, price drops, or back-in-stock notifications. We prefer Klaviyo over its competitor, Mailchimp, because of Klaviyo's superior SMS offerings and better segmentation features.
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Klaviyo is free for up to 250 contacts, and paid plans start at $20/month.
Are you a Gorgias user? See how Klaviyo integrates with Gorgias.
Privy is a conversion optimization platform that helps you capture leads and reduce cart abandonment through targeted popups and email campaigns. The platform excels at exit-intent technology, displaying offers at the exact moment a shopper is about to leave your site. Privy's drag-and-drop editor makes it easy to create on-brand popups without any coding knowledge.
The platform includes gamification features like spin-to-win popups that increase engagement and email list growth. Privy's email marketing capabilities let you follow up with captured leads through automated welcome series and cart abandonment campaigns. Built-in A/B testing helps you optimize popup performance over time.
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Justuno is a conversion optimization platform with advanced targeting and personalization capabilities. Unlike basic popup tools, Justuno lets you create sophisticated targeting rules based on visitor behavior, traffic source, geolocation, and more. The platform's product recommendation engine suggests relevant items based on browsing history and cart contents.
Justuno's analytics dashboard provides detailed insights into popup performance, conversion rates, and revenue attribution. You can run multiple campaigns simultaneously with different targeting rules for different customer segments. The platform's exit-intent technology captures abandoning visitors with personalized offers before they leave.
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The Essential plan is $25/month, and the Justuno Plus plan starts at $399/month.
Customer service apps help you support shoppers across email, chat, social media, SMS, and more. According to data from Microsoft, 90% of Americans consider customer service an important factor when deciding which companies to do business with. The right helpdesk can turn support into a revenue channel by empowering agents to upsell and recommend products. Here are the top customer service apps for BigCommerce stores.
Gorgias is a powerful customer experience solution (also called a helpdesk) built specifically for ecommerce brands. Unlike generic helpdesks, Gorgias understands ecommerce workflows and integrates deeply with BigCommerce to pull in customer data, order history, and product catalogs. This means your support agents can see everything they need in one place without switching between tools.
Gorgias's AI Agent automates up to 60% of repetitive support inquiries, handling questions about order status, returns, and product information automatically. When complex issues require human attention, agents use Macros (templated responses with variables) to respond faster while maintaining personalization. The platform's Self-service capabilities let customers help themselves through a Help Center and automated flows.
Since Gorgias was purpose-built for ecommerce businesses, we're proud of how deeply it integrates with BigCommerce. You can see customer information pulled directly from BigCommerce, including past orders. You can also control order management from within Gorgias, processing refunds, cancellations, and much more without leaving Gorgias.
Gorgias also integrates with most of the tools on this list for a more unified customer experience hub. Check out our App Store to see if your favorite apps integrate.
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Gorgias offers custom pricing based on ticket volume and includes a 7-day free trial.
To see for yourself how Gorgias can optimize your customer support process, be sure to book a demo today.
LiveChat is a real-time customer support platform that helps you engage shoppers at the moment they need help. The platform's chat widget loads quickly and doesn't slow down your site, making it ideal for high-traffic stores. LiveChat's mobile app lets your team manage conversations on the go, ensuring you never miss an opportunity to help a customer.
The platform includes canned responses and chat tags to help agents work more efficiently. You can route chats to the most qualified agent based on skills, availability, or customer history. Chat transcripts and archives make it easy to review past conversations and identify training opportunities.
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Pricing starts at $16/month per agent.
Tidio offers live chat and chatbot capabilities for your BigCommerce store. Its AI-powered chatbots automate support conversations and handle chat requests around the clock.
Tidio's visitor tracking shows you who's browsing your site in real time, letting you proactively reach out to high-intent shoppers. The platform integrates with email marketing tools to capture leads and nurture them through automated sequences. Live visitor lists help you prioritize the most valuable conversations.
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Related reading: Our list of the best live chat apps for BigCommerce.
Analytics apps help you understand customer behavior and make data-driven decisions about your store. According to data from Intergrowth, 70% of online marketers say that good SEO is more effective at generating sales than PPC ads. Track everything from traffic sources to product profitability with these analytics tools. Here are the top analytics apps for BigCommerce stores.
Google Analytics is the industry-standard web analytics platform that every BigCommerce store should use. The platform tracks visitor behavior, traffic sources, and conversion paths at no cost. Google Analytics' ecommerce tracking shows which products drive the most revenue. It also reveals which campaigns generate the highest ROI and where customers drop off in the checkout process.
The platform integrates seamlessly with Google Ads and Search Console, giving you a complete view of your paid and organic traffic performance. Custom reporting lets you create dashboards focused on the metrics that matter most to your business. Enhanced ecommerce tracking provides detailed insights into product performance, shopping behavior, and checkout abandonment.
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Google Analytics is free.
Lucky Orange is a heatmap and session recording tool that shows you exactly how visitors interact with your store. Watch session recordings to see where customers get confused, stuck, or frustrated. Heatmaps reveal which elements get the most attention and which get ignored.
The platform's conversion funnels help you identify exactly where customers drop off during checkout. Form analytics show which fields cause friction in your checkout process. Lucky Orange's live chat feature lets you proactively engage visitors who show signs of confusion or hesitation.
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OrderMetrics is a profit analytics platform built specifically for ecommerce sellers. Unlike Google Analytics which focuses on traffic, OrderMetrics shows actual profitability. It does this by factoring in product costs, shipping expenses, and marketing spend.
OrderMetrics' marketing ROI analysis shows which campaigns actually drive profitable sales, not just revenue. Cohort analysis reveals customer lifetime value and helps you optimize retention strategies. The platform's shipping cost optimization identifies opportunities to reduce fulfillment expenses.
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Review apps help you collect and display customer feedback that builds trust and increases conversions. We've written about how ecommerce product reviews instill confidence in your site's visitors. They also nudge potential customers to make a purchase. Social proof is essential for ecommerce success. Here are the top review apps for BigCommerce stores.
Yotpo helps you generate and manage product and site reviews. It also handles other forms of social proof like testimonials and user-generated content (UGC). The platform's automated review collection sends perfectly timed email and SMS requests after purchase, maximizing response rates. AI-powered review prompts help customers write more detailed, helpful reviews.
Yotpo's schema markup ensures your star ratings appear in Google search results, improving click-through rates from organic search. The platform syndicates reviews to Google, Facebook, and other channels automatically. Photo and video reviews provide richer social proof than text alone. Yotpo is the best tool for managing that process, thanks to the automation features for collecting and displaying reviews on your site.
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Are you a Gorgias user? See how Yotpo integrates with Gorgias.
Fera is a review and social proof app that helps you consolidate reviews from multiple sources into one platform. Import existing reviews from Google, Facebook, Amazon, and other platforms to build social proof quickly. The platform's customizable widgets let you display reviews in ways that match your brand aesthetic.
Fera's social proof notifications show recent purchases, reviews, and other customer actions in real time, creating urgency and trust. Photo and video reviews give shoppers a realistic view of your products. Automated review requests are sent at optimal times to maximize response rates.
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Subscription apps help you build recurring revenue streams by offering products on a subscription basis. Subscription models improve customer lifetime value and create predictable cash flow. Here are the top subscription apps for BigCommerce stores.
Recharge is an app that allows BigCommerce store owners to sell subscription-based products or services. The platform's self-serve customer portal lets subscribers manage their own subscriptions, reducing the burden on your support team. Customers can pause, skip, or modify subscriptions without contacting support.
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Recharge provides subscription payment options at checkout. It also makes it easy for customers to manage their subscriptions through SMS or a pre-built customer portal.
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Recharge offers custom pricing based on subscription volume.
Are you a Gorgias user? See how Recharge integrates with Gorgias.
PayWhirl is a subscription and recurring payment solution designed for BigCommerce merchants. The platform handles recurring billing, pre-orders, and payment plans with ease. PayWhirl's pre-designed customer portal gives subscribers control over their subscriptions without requiring custom development.
The platform's automated billing handles failed payments automatically, retrying with smart logic to maximize successful charges. Customizable subscription widgets match your store's design and brand. Reporting tools provide insights into subscription performance, churn rates, and revenue trends.
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Site utility apps handle essential behind-the-scenes tasks like backups, translations, and mobile optimization. These tools protect your store and expand your capabilities. Here are the top site utilities for BigCommerce stores.
Rewind Backups is an automated backup solution that protects your BigCommerce store from data loss. The platform creates daily backups of your entire store, including products, images, inventory, settings, themes, and orders. Cloud storage keeps your backups secure and accessible from anywhere.
One-click recovery lets you restore your store quickly if something goes wrong. Version history tracks changes over time, making it easy to identify when problems started. Rewind's automatic backups run in the background without any manual effort, giving you peace of mind that your data is protected.
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Weglot Translate is a website translation solution that helps you sell internationally without rebuilding your store for each language. The platform automatically translates your entire store, including product descriptions, checkout pages, and navigation. Machine translation provides a solid foundation that you can refine with manual edits.
Weglot's visual editor lets you customize translations to ensure they sound natural and on-brand. SEO-friendly translated URLs help you rank in international search results. The platform handles right-to-left languages and supports over 100 languages, making global expansion accessible for any store.
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Unbound Commerce helps you create custom mobile apps for your BigCommerce store. With mobile commerce growing every year, a dedicated app gives you direct access to customers through push notifications and app-based shopping. Unbound builds native iOS and Android apps that integrate with your BigCommerce store through APIs.
The platform's dashboard lets you manage app content, send push notifications, and track mobile commerce performance. Push messaging reaches customers directly on their phones, driving higher engagement than email. Mobile-optimized shopping experiences load faster and convert better than mobile web browsers.
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Unbound Commerce offers custom pricing, which is not listed on its website.
Choosing the right BigCommerce apps starts with identifying your store's specific needs and pain points. Are you struggling with cart abandonment? Look for marketing and conversion optimization tools. Is customer support overwhelming your team? Focus on helpdesk and automation apps. Be honest about where you need the most help before browsing the BigCommerce App Store.
Check app reviews and ratings in the BigCommerce App Store to see what real users think. Pay attention to recent reviews, not just overall ratings, since apps change over time. Look for patterns in complaints or praise. Compare pricing carefully and ensure it fits your budget, factoring in any transaction fees or usage-based charges as you scale.
Most quality apps offer free trials, so test before committing. Install the app in your store and use it with real customer data to see how it performs. Finally, verify integration compatibility with your existing tools. The best app ecosystems work together seamlessly, so choose apps that connect with your email marketing platform, analytics tools, and other critical systems.
Here's a quick checklist for evaluating BigCommerce apps:
1) Identify your store's specific needs and pain points. 2) Check app reviews and ratings in the BigCommerce App Store. 3) Compare pricing and ensure it fits your budget. 4) Test apps with free trials before committing. 5) Verify integration compatibility with your existing tools.
The right BigCommerce apps transform your store from a basic online shop into a sophisticated ecommerce machine. Apps help you automate repetitive tasks, freeing up time to focus on growth and strategy. They improve the customer experience by adding features like live chat, personalized recommendations, and self-service portals. Most importantly, the best apps drive revenue by optimizing conversions, reducing churn, and turning support into sales opportunities.
Start with the essentials: analytics to understand your performance, customer service to support your shoppers, and marketing tools to drive growth. Add specialized apps as your needs evolve and your business scales. Don't try to implement everything at once — focus on solving your biggest problems first, then expand your app stack over time.
Ready to transform your BigCommerce customer service into a revenue channel? Book a demo to see how Gorgias can help. You can automate support, increase sales, and deliver a customer experience that builds loyalty.
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