

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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When customers order products from your ecommerce store, they expect the products to arrive on time and intact. Even if your shipping carrier is at fault for a lost package, customers will associate the issue with your store and the drop in customer satisfaction will ultimately impact your revenue.
Unfortunately, 15% of all online orders shipped to urban areas fail to reach their destination due to either logistics issues or package theft. Many of the processes in your store's supply chain are probably out of your control, but there are things that you can do to prevent missing packages and salvage the customer relationship.
We put together a step-by-step guide for how ecommerce businesses can deal with lost packages, as well as five tips that you can use to help ensure smooth and on-time package delivery.
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Lost packages aren't typically the shipper's fault, but — fair or not — your customers will still look to you to make it right. Here are the steps that business owners should take when dealing with lost packages in order to ensure customer satisfaction:
When a customer's package doesn't arrive, all that you know at first is that the package is missing. In most cases, the package has been lost or delivered to the wrong address. Sometimes, however, packages go missing because they are stolen. "Porch pirates," or people who steal packages from another person's porch, have become increasingly common with the growing popularity of online shopping. However, there are also rare cases when packages are also stolen in transit.
Here’s a breakdown of some of the top reasons for lost packages:

Contacting the shipping company is the best way to determine if a package was lost or stolen. If the carrier marks the package as being delivered to the correct address, but the customer never got it, chances are it was stolen.
Stolen packages are tricky because the only person truly at fault is the thief who took them. Carriers don't typically offer reimbursement for stolen packages (except under rare, specific circumstances). This means that you will need to carry shipping insurance through a service such as Route if you want to be able to reimburse your customers for stolen packages — without the costs coming out of your own pocket.
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While carriers won't usually reimburse damaged or stolen packages, they are typically willing to reimburse lost packages. Along with recovering the cost of the item, you can also receive reimbursement for any shipping costs that you paid.
Filing these refund claims may be a bit of a hassle, but they have a high success rate, given that lost packages reflect poorly on a carrier. If you can determine that a package never arrived to the customer, usually due to a lack of updates from the carrier, filing a claim with the carrier is your best course of action.

The exact information and documentation you must provide when filing a refund/insurance claim will vary from carrier to carrier. However, you will typically need to provide information such as:
Most carriers offer refund forms and portals that make it easy for shippers to file claims. Here are the links to the refund forms from popular delivery services:
Even if lost packages aren’t your fault, there's a good chance that your customers won't see it that way. In fact, 32% of customers say that they would be reluctant to order again from an online retailer following a failed delivery. This is especially true given the precedent large retailers like Amazon have set with no-questions-asked refund policies.
Replacing lost packages is no doubt an expense and a hassle, especially if the value of the item is high. But the value of the item may be small compared to a customer’s lifetime value (CLV) if you replace the lost item and retain a loyal customer. When you consider that repeat customers generate 300% more revenue than first-time customers, it's easy to see how prioritizing customer satisfaction can be more profitable in the long run.
Again, the right insurance policy can ensure that the cost of the items is covered if they are damaged, stolen, or lost. Filing a refund/insurance claim with your carrier is another way to seek reimbursement so that you can reimburse the customer. Even if it means eating the cost yourself, replacing lost packages still tends to be a more beneficial approach for ecommerce businesses.
If you want to improve customer experience further, check out our guide on how to offer free shipping to your customers.
EasyShip is an ecommerce shipping platform that helps merchants print shipping labels, access discounted shipping rates, and provide customers with real-time tracking notifications. This ability to easily track the location and status of packages and provide that information to your customers can often go a long way toward reducing the frequency of missing packages.
Shipping tools such as EasyShip also help mitigate lost packages by streamlining your order fulfillment process. EasyShip and comparable apps help eliminate errors on your end (such as incorrect delivery addresses that could lead to missing shipments) by making it easy for customers to choose their preferred delivery service for each order.

EasyShip is an excellent tool to consider if you want to improve your order fulfillment process and provide customers with real-time tracking notifications. However, several other shipping apps offer comparable features and capabilities:
To learn more about creating an ecommerce shipping and fulfillment strategy empowered by cutting-edge order fulfillment tools, be sure to check out our ecommerce shipping guide: Creating a Shipping and Fulfillment Strategy.
No matter what your policy for replacing lost, damaged, or stolen packages happens to be, it's important to keep your customers in the loop. If you offer a generous refund/return policy, making sure that customers see it can boost customer confidence and may even improve your store's conversion rate. Or, if you aren't in a position to replace or refund missing packages, letting customers know ahead of time can set expectations upfront. This way, they aren't frustrated by finding out that they won't be reimbursed after the fact.
To ensure that customers know your policy for replacing or refunding missing packages, publish this information on your FAQ page or help center. You may also consider sending a link to this policy in your post-purchase email flow for even more visibility.
Here’s a great example of a reader-friendly shipping policy from Branch, well organized and easily accessible on their Gorgias-built Help Center:

Ecommerce businesses need to have a plan and policies for dealing with missing packages, but there are also steps that you can take to prevent your packages from ever going missing in the first place. Here are five tips for how ecommerce stores can prevent lost, stolen, and damaged packages:
Incorrect delivery information is a common cause of lost packages. While you'd like to think that customers can enter their addresses correctly, this isn't always the case. Thankfully, many shipping apps include address verification tools that allow you to at least ensure that the delivery address you have on file is a properly-formatted address that actually exists. These tools will sometimes be able to correct minor formatting issues automatically. You can contact the customer to clarify if there are bigger problems with the address.
Using shipping apps to verify addresses and streamline your order fulfillment process can also help prevent errors on your end, such as typos when entering an address.
Sixty-nine percent of customers say that the ability to track their order is one of their top three considerations when purchasing a product online. Along with helping your store meet these customer expectations, offering real-time tracking notifications to your customers can also help prevent lost and stolen packages.
Real-time tracking provides visibility that can prevent packages from being delivered to the wrong address or lost along the way. Tracking notifications also enable customers to make sure that they or someone else is home when the package arrives so that it isn't stolen.
Most carriers will provide a tracking number to forward to your customers in a post-purchase email. However, you can improve the customer experience even further by offering your own tracking portal. Shipping apps such as LateShipment.com and some of the others that we mentioned allow you to create branded tracking portals and shipping notifications that your customers are sure to appreciate:

And if you use Gorgias, you can integrate with tools like LateShipment.com to see order status and tracking information within your help desk, so you can quickly — or automatically — answer customer questions about order status, whether they come through social media, texting, email, or another channel.
Letting customers schedule deliveries won't prevent packages from getting lost in transit, but it can help prevent them from being stolen. The vast majority of package theft occurs after the package has been delivered. If the customer can choose a delivery time when they’re home, then porch pirates have less opportunity to steal it.
Your ecommerce platform likely has add-ons that let your customers choose their delivery date and time, although it may be limited to local deliveries only. If you use Shopify, check out the following tools to see if they could fit your needs:

Along with using proper packaging, one way to prevent damaged items is to provide your carrier with instructions on how they should handle packages. If you are shipping fragile items, this should be communicated to your carrier so that they can properly mark the package.
It's also sometimes necessary to provide additional instructions to your carrier to ensure that a package goes to the correct address. If the customer provides any additional shipping instructions during checkout (such as where to leave the package, gate codes, etc.), then your team should pass this information on to the carrier, too.
If the product is especially valuable, you may want to consider requiring a signature upon receipt of the package. Requiring a signature (which guarantees in-person delivery) offers a couple of protections to both you and the customer. For one, it guarantees that the package will not be stolen after delivery. It also prevents the customer from fraudulently claiming they never received the package. Lastly, requiring a signature upon delivery allows customers to inspect the package and ensure there is no obvious damage before they sign for it.
It probably isn't necessary to go to these lengths for every ecommerce product. But if the item you are shipping is worth several hundred dollars or more, it's probably worth (strongly) considering. Most customers will have no problem signing for high-value items — and will likely even prefer it.
As an ecommerce store, dealing with missing packages correctly is one of the many elements of developing a great customer experience. At Gorgias, we help ecommerce stores create a post-purchase experience optimized for customer satisfaction.
Gorgias helps you educate your customers about your refund/replacement policies for missing packages, give real-time updates about the status of their order, and provide helpful support in case something goes wrong. Better customer service leads to a better customer experience, helping you build a loyal customer base — and boosting your revenue in the process.
As the world's leading customer support platform, Gorgias also provides all of the tools and features your support team needs to offer the swift, helpful support that customers expect when their packages are missing. With our platform, your team also benefits from several deep integrations with many of the market's top shipping and fulfillment apps.
See for yourself how Gorgias improves the customer experience, from browsing to post-purchase, by booking a demo today.

Does your business have an ecommerce upselling strategy in place?
If not, you’re leaving money on the table.
Ecommerce upselling involves selling higher quantities and more expensive products to shoppers who are already considering a purchase. And for most ecommerce companies, the bulk of upselling and cross-selling happens when the customer support team interacts with customers who are already on your site or have already purchased an item. One reason is that returning customers spend 67% more than first-time shoppers, according to Bain and Co. Plus, it costs about five times more to acquire a new customer than it does to retain one.
In other words, chasing after new customers is expensive and brings in lower-value sales. Upselling, cross-selling, and customer-experience strategies to keep customers coming back — and spending more and more each time — is more profitable.

Whether you’re just starting to explore upselling or it’s time to retool your current efforts, these 11 best practices can improve your efforts and help you reach greater results.
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Ecommerce upselling is a sales technique of allowing customers to purchase a higher-priced item instead of the item they selected from your ecommerce store, to convince the customer to spend more money. When successful, ecommerce upselling provides additional perceived value to the customer and nets your store a higher sale price (and higher profits). A simple example is a shopper deciding to get an expensive camera after initially coming in for a more basic model.

Ecommerce upselling is the digital equivalent of old-fashioned, in-person upselling. Instead of speaking to an in-store associate, customers get recommendations from pop-ups, customer support agents, and other prompts throughout your website: usually on product pages, in the cart, or at checkout.
Here’s an example. Say you’ve launched an ecommerce venture that sells high-end, organic toothpaste. A customer adds a single tube of toothpaste to their cart and heads to checkout. At the checkout page, you trigger a pop-up that offers:
Buy 3 tubes and save 20%!
Or perhaps:
Try Our Variety Pack, Get One Tube Free!
You could create an endless variety of deals here, but you get the idea: You’re offering customers more (usually with some kind of discount or value proposition) to entice them to spend more and increase your average order value (AOV).
Ecommerce cross-selling is a similar sales tactic where you strategically recommend add-ons related to whatever the customer has put in their cart. The goals are the same: higher ticket value, greater sales, and greater customer satisfaction. Instead of upgrading to a fancy camera, a shopper who accepts a cross-selling offer might also buy a roll of film and an extra battery in addition to the basic camera.

If the camera example above doesn't make sense, let’s go back to our toothpaste company. A great example of cross-selling would be something like this:
Got toothpaste? Don’t forget the brushes! Add 3 bamboo brushes for just $5!
For this brand, other great cross-selling opportunities could include floss, electric toothbrush heads (assuming you sell an electric toothbrush), and maybe even night guards. All appeal to health-conscious customers looking for oral hygiene products.
Upselling and cross-selling are similar concepts, but the terms aren’t interchangeable.
With upselling, you’re offering the customer more of a product or a better version of a product at a higher price point. If the customer bites, the upsell item replaces the original item in their cart.
For a real-life example of upselling, think of Apple. Each of their products has multiple storage levels, premium versions, and newer models they could (and do) push customers toward.
With cross-selling, you’re offering the customer additional products, usually related items that work in tandem with that original item. Cross-selling opportunities don’t replace the original item but stack on top of it.
For a real-life example of cross-selling, think of Amazon. No matter what you buy — or even look at — you’ll inevitably be shown a “People also bought…” section. It’s usually full of on-topic and useful add-ons, like battery packs or chargers for phones or cables and USB mice for laptops.
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Whether upselling is new for your ecommerce business or you’re looking to retool your existing upselling strategies, check out these eleven quick tips that can help you drive more revenue more effectively.
For small and medium ecommerce businesses, using a tool that’s already done the work of building out support for ecommerce upselling is the single most important step to take.
Dynamic, beautiful, frictionless upselling is prohibitively complex to create on your own, requiring a serious resource outlay for even the largest ecommerce sites. But several ecommerce platforms have already done this hard work and make upselling and cross-selling easy to implement for any vendor using their platform.
Many Shopify stores already take advantage of upselling thanks to the company’s smooth interface enabling the offering. If you’re a current or prospective Shopify user, check out 30+ of the best Shopify apps to boost your performance.
Some of our favorite Shopify apps for upselling include:
Not a Shopify user? We’ve created similar guides for BigCommerce and Magento. Check out the best extensions for BigCommerce or the best extensions for Magento and start powering up your store today!
Your customer support agents speak to customers more than anyone. They have a huge opportunity to drive sales — up or down, depending on the quality of service — for your brand.
Here are a few examples of moments when customer support agents can cross-sell or upsell clients:
If you use Shopify, Gorgias makes giving great product recommendations easy thanks to our integration with the product picker, which lets agents add product recommendations to tickets without leaving the helpdesk:

Agents will pursue more product upsells and cross-sells with the right incentives, so we encourage larger teams to reward agents for driving revenue. Measuring the amount of revenue generated by customer support is challenging, which is why we built the revenue dashboard in Gorgias, which gives you a breakdown of revenue metrics, such as tickets coveted by each agent or your team’s conversion rate:

Using products that have already sold well in the past will significantly improve the chances of cross-selling or upselling.
For upselling, this isn’t the place to push your most exclusive, niche products. Focus on popular upgrades instead, ones in the same price range as whatever’s in the customer’s cart. People looking to spend around $20 might be convinced to spend $30 or $35, but they’re unlikely to jump to a $250 item no matter how amazing it is.
For cross-selling, make sure you’re using highly targeted, highly useful products, and make sure they’re already good sellers. If you’re selling whole coffee beans, a hand or electric grinder makes great sense. A nice $50 manual brewer (like a siphon or AeroPress) might make sense too.
But a $999 espresso maker? Not so much.
Likewise, aim to recommend similar products whenever possible. A related product is anything that compliments the product in the customer’s cart or a product that better satisfies the customer need that drove them to add the original item.
(Pro tip: People shopping for a dozen roses right before Valentine’s Day are never going to go for a bell pepper instead.)
If you use live chat for customer support, you may be able to start conversations with website browsers proactively. This allows your customer support team to speak when they’re deciding whether — and how much — to purchase. Your customer support team can answer questions that get, recommend products, and offer discounts to drive a sale.
We call these proactive chats “chat campaigns” and recommend designing them around key points of the customer journey. For instance, if a customer spends a lot of time on your website without adding an item to their cart, you can fire a live chat asking whether they need any help finding a product:

Likewise, you can message customers if they add a product to their cart but don’t place a purchase for a few minutes. You can open the door for them to ask any questions that might be stopping them from making a purchase:

Or, to bring it back to cross-selling, you can offer product recommendations and discounts to motivate shoppers to add more items to their carts:

The possibilities of chat campaigns are wide-ranging. If you want to learn more, book a demo and ask about the many ways Gorgias’ live chat can drive sales on your site. Or, if you want to spend more time researching live chat, check out one of these resources:
Your post-purchase experience is everything that happens after a customer completes a purchase, from the digital receipt they receive to follow-up marketing materials.
Consider using your purchase confirmations as a place to send out product recommendations, discounts, announcements about new products, subscription offers (“Never run out again!”), or whatever else makes sense for your business model.
Strict upselling is likely out at this point (they already bought the original item), but you have all sorts of opportunities for convincing that customer to spend more with you during an extended sales session.
You can manually chase after customers post-purchase, but those efforts will be disorganized and time-consuming. Plus, you might run into trouble if you try to cross-sell a customer that’s dissatisfied with their purchase. Klaviyo is one of the best tools on the marketing for email and SMS marketing (plus, it integrates with Gorgias to help you unify your customer support and marketing).

And if you sell subscription-based products, Recharge (and its Gorgias automation) can help you manage your subscription customers and put them on larger plans.
The best upsells and cross-sells are the ones that feel smooth and simple. You want to keep your upselling tactics subtle, not pushy, and make sure your tech tools and partners enable a smooth and frictionless experience.
All it should take is a click or a tap, maybe two, for the upsell to be completed. Anything more complex than that could start getting in the way and might even drive customers away out of frustration or “move on” syndrome (they move on to another tab or app and never come back).
One approach to one-click upselling is to target customers who have already added items to their cart and even inputted their credit card information. Then, your buyers can click to add the item to their cart directly, rather than having to go to that item’s product page, add it to the cart, and then checkout. It’s kind of like an easy-to-grab candy bar put right next to the checkout counter.
Here’s an example from Little Poppy Co., a brand that smartly tries to upsell shoppers with a subscribe-and-save option during the checkout flow:

If you use Shopify, One Click Upsell can add this functionality to your store.
Next, make sure you aren’t overwhelming new customers with too many choices. At the point where a customer is ready to put a product from your online store in their cart, they’re already pretty far down the purchase path. Whether you’re cross-selling or upselling, keep your set of upselling options small — no more than three at most.
Why? Because successfully upselling products needs to feel like simply making a better choice — not like going back to square one and comparing a half dozen new options.
Make your upsell offer clear and concise so you can have the best chance of increasing that cart value without frustrating or confusing your users.
Next up is a crucial upselling strategy: You’ve got to sweeten the pot. Use discounts and specials to motivate your customer to action.
Yes, discounts cut into your bottom line, but their ability to attract customers and increase revenue is undeniable. Simply build the discount into your asking price, and all is well.
Think of it this way: If your customer came to your site intending to purchase a single tube of toothpaste or a pound of coffee or a bucket of protein powder, it’s safe to assume they’re going to be biased toward the thing they meant to buy (in the size they meant to buy it).
You won’t convince many of them to simply buy two or three instead of one just because you asked them to in the checkout process. Most will simply say “no thanks, I only need one” and skip the offer.
What moves hearts and minds (and credit cards) is the perception of value. Offering a discount or free shipping for certain cart values is a great way to make cross-sell offers sweeter. And one of the best upselling techniques is to include a subscribe-and-save option to motivate customers to sign up for repeat purchases from the jump:

Next up, if your chosen tools and ecommerce platform allow you to make this distinction, focus your cross-selling and upselling efforts on your returning customers, not on new ones.
For one, it’s way easier to sell to an existing customer than to a new one. Customer acquisition costs can be five times as much as customer retention costs, and you don’t want anything scaring off those new customers, including an upsell attempt that feels a little too pushy.
Your repeat customers are also much more likely to have a positive opinion about your business and your ecommerce site. This segment of your market is already primed to like what you have to offer and is much more likely to trust your recommendations based on their previous positive experiences with your brand.
If you use Gorgias, you can integrate with customer loyalty tools like Yotpo or LoyaltyLion, both of which help you identify and nurture customers that love your brand (and who would therefore be good candidates for upsell and cross-sell campaigns.)
When you add these integrations to your Gorgias account, you bring that loyalty data inside your helpdesk, giving your agents the context they need to determine whether to try and sell more to a repeat customer:

Whatever recommended products you’re presenting to customers, create a sense of urgency or scarcity by setting a time limit for the discount or special offer. Yes, this can be cheesy, and it might not be right for high-end or prestigious brands. But it’s highly motivating — and highly effective.
The reasons why get into some of the psychology surrounding shopping. Discounts are highly motivating, but savvy shoppers can see through “permanent discounts” well enough that the perception of value starts to disappear. By setting a timer (and displaying it in countdown fashion, if your plugins allow), you send some key messages:
So how long should your offer last? It depends on the nature of your business. Small-dollar retailers might make the window as short as 30 minutes. 48 hours makes sense for many, and one to two weeks can be a good timeframe for larger commitments that might have their own email sequences and funnels.
Instead of limiting availability with timing, you can also opt for a longer-term selling strategy and ask for a customer’s email address instead. That information will let you sell more in the long term:

Not every offer is a winner. The same goes for headlines, email subjects, and all sorts of elements in the marketing world.
But how can you determine which ones are working and which are falling short? A/B testing.
A/B testing is the process of trying two different sets of wording on a smaller subset of an audience to determine which one lands better.
You see this most often with marketing emails, where two initial test emails are sent to two small subsets of a list. Whichever subject line gets a better open rate wins the day and gets attached to the main email going out to the entire list.
You can apply this concept in numerous spaces. YouTubers A/B test video titles. News organizations do the same with some articles. And you can do it with your upselling offers.
Set up two similar offers (or an identical offer worded two different ways or using two different visual styles) and unleash both on your customer base. After enough customers receive one or the other offer, it’ll become clear which one has the better conversion rate and the best effect on the bottom line.
This is worth the investment: Forrester found that a strong UX can increase conversion rate by 400% over a weak one. That’s a lot of extra tubes of toothpaste!
Of course, you need an ecommerce platform that allows you to implement A/B testing on upselling and cross-selling initiatives, so make sure you have access to that feature through your chosen platform.
By implementing (or refreshing) ecommerce upselling and cross-selling strategies for your ecommerce site, you’ll enjoy a range of benefits, with improved customer experience and higher average cart value sitting at the top of the list. And with the eleven best practices we’ve provided here, you’re now ready to take your upselling efforts to the next level.
Of course, succeeding in ecommerce and upselling requires the right suite of ecommerce tools and partners. Gorgias integrates instantly with more than 150 top ecommerce tools like Shopify, Yotpo, Klaviyo, LoyaltyLion, and so many more.
Ready for a better (and more profitable) helpdesk experience? See what Gorgias can do for you and sign up for free now.

TL;DR:
Many customer service guides focus on individual actions: be patient, show empathy, and listen actively. While these customer support tips are valuable, they only scratch the surface.
The goal of ecommerce customer service isn’t just to please customers. Just like any function of a business, great customer service has to drive revenue — and having positive interactions with customers is just one part of that goal. Excellent customer service can help an online store grow its bottom line revenue through:
With that in mind, here are 20 customer support tips for improvements on many levels, from operational changes down to individual agents’ day-to-day.
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For a top-down revamp, focus on high-impact, cost-effective changes that customer support leaders can implement.
Here are five tips to tackle major customer service challenges and elevate your service experience:
Customer feedback is the single best resource to improve the overall quality of your product and customer experience. Analyzing customer feedback from support tickets, NPS and CSAT surveys, and face-to-face conversations can surface patterns harming customer satisfaction and opportunities for improvement.
Consider the following example: if customers frequently ask questions about return policies, you may need to make the policy clearer. Or, if feedback shows frustration with response times, consider implementing real-time support options, such as social media, chat, or SMS. You could also consider using automation and templated responses to resolve common questions quickly.
These direct channels provide immediate answers and reduce wait times for customers who want quick resolutions.
Your customer service team can use feedback to share insights with product, shipping, and other teams—often leading to broader improvements. For example, feedback about shipping issues can guide adjustments in fulfillment, while comments on product quality can drive updates in manufacturing.
We recommend setting up a system to pass feedback to relevant departments. With Gorgias, you can automatically tag feedback for specific teams, create custom views, and invite team members to access this feedback directly. Plus, with unlimited seats on most Gorgias plans, it’s easy to involve everyone who needs to see it.

Automating responses to frequently asked questions, such as “where is my order” (WISMO), has two major benefits. First, it reduces response times by instantly providing answers to common inquiries. Fast, accurate responses to these questions are crucial for reducing customer effort.
Second, automation lets your agents focus on more complex inquiries. Without having to handle repetitive tickets, they can prioritize high-impact conversations that involve troubleshooting or personalized assistance. In practice, this means fewer hours spent on “one-size-fits-all” tickets and more time available to resolve unique customer issues and address inquiries that require customer service skills.

Most customers prefer to find answers on their own when possible––according to Heretto, customers overwhelmingly prefer self-service solutions as their first point of contact for support.
Options like knowledge bases, detailed FAQ pages, and interactive help centers help customers solve issues independently, without relying on customer service representatives.
Here’s a quick breakdown of effective self-service solutions:

Automated chat bridge self-service and hands-on support, offering customers a personalized experience without tying up your team. With Gorgias, you can set up flows in your help center or chat, allowing customers to find answers or track and modify orders—all without waiting for an agent.
Read our complete guide to customer self-service.
Effective customer service skills go beyond soft skills like empathy. Agents need a deep understanding of your product to give accurate advice and solve issues effectively. Similarly, they need to deeply understand customer service techniques and processes (for things like escalation and returns) to give clear, accurate instructions.
Here’s how you can set your customer service reps up for success:
When guiding customers—like through checkout—agents must provide accurate information to avoid negative interactions. Macros help standardize responses and reduce human error.

In training, prioritize product knowledge and create an internal knowledge base for quick reference. It’s also key to train agents on your service tools. Gorgias Academy offers courses and certifications, along with help center documentation for setting up automation and managing accounts.
Plus, our help center has detailed documentation on how to configure your account, set up new automation, and so much more.

Explore effective ways to organize your customer service team for a more streamlined operation.
Exceptional customer service doesn’t just benefit the customer—it can also contribute significantly to revenue. Satisfied customers are more likely to become repeat buyers, and customer loyalty directly impacts long-term revenue.
In-depth tracking is a challenge, but you can start by seeing how many customers place an order within five days of a customer service interaction and attribute that revenue to customer service.
If you want more suggestions, check out our list of 25 customer support metrics, which walk through revenue-related metrics like customer churn, revenue backlog, and more.
Tracking this revenue contribution will help you understand the value of great customer service. With revenue statistics, brands can access detailed metrics and analysis regarding how much revenue their customer service team generates. By using Gorgias to analyze support ticket details and identify sales trends, you'll be able to figure out what works and what doesn't and use data to develop a customer service strategy optimized for revenue generation.
Explore more about how to drive customer retention through effective customer service.
Customer service is more than damage control—it’s a chance to boost sales and drive revenue. By empowering your team to focus on increasing customer satisfaction, you can turn each interaction into a sales opportunity.
Here are three tips to help you get started:
Around 70% of all online shopping carts get abandoned. While there are many reasons why shoppers abandon shopping carts, questions or issues arising during the checkout process are some of the most common reasons.
Adding Gorgias chat to your checkout page helps prevent this by allowing customers to request help instantly.
With Gorgias, you can also reach out proactively during checkout—offering assistance, reminding customers of free shipping thresholds, or sharing discounts. This approach reduces cart abandonment and boosts average order value through strategic upsells and recommendations.

You can boost conversion rates by proactively assisting customers through chat at key points in their journey. For example, if a customer has placed best-selling items in their cart, reaching out with a discount or answering questions could make the difference between a completed purchase and an abandoned cart.
By offering discounts, personalized recommendations, or quick assistance, you can turn an abandoned cart into a completed sale.
With Gorgias, you can automate these interactions through Gorgias Convert. Trigger responses based on customer actions—like adding high-value items or pausing on the checkout page.
Taking proactive approach drives sales and reduces cart abandonment, even when your customer service agents are offline.

Boosting agent productivity speeds up response and resolution times, freeing your team to focus on delivering value. Here are three effective customer service techniques to help eliminate productivity blockers:
Sitting for prolonged periods takes a mental and a physical toll on a person, even if they don't notice it at first.
Taking brief breaks throughout the day helps agents stay focused and reduces burnout. Something as simple as stepping away for a few minutes or doing light stretches can reset their energy and prepare them to handle the next ticket with a clear mind.
Setting daily and long-term goals provides direction for customer service reps and keeps productivity high.
Setting daily goals keeps agents focused and motivated. These short-term goals might include:
Setting long-term goals helps reps stay committed to growing and developing their skillset, some goals might include:
Encourage agents to discuss any roadblocks openly. By supporting them through challenges, you create a positive environment that helps them achieve their goals without added stress.
With remote work becoming the norm––87% of support agents worked from home in 2021 maintaining a clear boundary between work and home life is essential. Creating a dedicated "work corner" helps remote agents stay productive.
Here are some tips to help you set up a workspace optimized for productivity:
Avoiding common mistakes is just as crucial as following best practices. Here are three frequent support agent pitfalls to watch out for to protect your brand’s reputation and meet customer expectations:
One of the most critical rules in customer service is to never interrupt a customer. Your customers may think you don’t want to listen to them and don’t respect them.
They probably aren't going to be very happy as a result — even if the rep who interrupted does eventually resolve their issue.
Words can have a huge impact on people. A customer support team needs to understand the power of words and always use positive language while avoiding phrases that customers could interpret as rude.
Check out our guide to customer service phrases for additional phrases to avoid.
Canned responses speed up replies but can fall flat if overused. The best practice? Personalize each response—adding the customer’s name or tweaking it for the situation can make a big difference.
That way, agents don’t need to recreate the wheel with every response, but it still puts a personal touch on each response; even something as small as including the customer’s name can make a big difference.
Avoid canned responses if you’re unsure what the customer needs. And if there’s no relevant template, ask a teammate instead of forcing a one-size-fits-all answer.
Check out these 16 email templates to get started. Or, if you use phone support heavily, check out these customer service scripts.
Handling unhappy customers is one of the toughest but most important parts of support.
Here are six tips to help your team turn complaints into good customer experiences.
Customers may not always have the kindest words for support agents, but it’s essential for your agents to always use positive language themselves — no matter what the customer is saying to them.
For example:
Training agents to use positive language helps build better customer relationships. Creating a library of positive response scripts can also be a valuable resource for your team.
Dealing with angry customers can be challenging, but staying calm is crucial to avoid negative fallout. If emotions take over, customers may share their experience online, potentially deterring future shoppers.
Here are a few tips to keep your cool:
For more insights, check out our guide to handling angry customer emails.
Attempting to fully understand a customer's problems first before you try to resolve them can go a long way.
Empathy is the ability to understand the issue from their perspective. Practicing this often leads to deeper understanding and better solutions.
Brands should take ownership of mistakes rather than cover them up. Be completely transparent about whatever happened, as your customers will likely get agitated if they feel like you're giving them the runaround.
Your customers need to know you’re always going the extra mile to help them resolve whatever issue they’re experiencing. If the problem was from your end, you need to communicate what you’re doing to prevent it from happening again.
No matter the outcome, customers want to feel heard. If agents aren’t truly listening, frustration can grow.
Active listening means fully understanding the customer’s concerns and responding with feedback that shows you’re paying attention. Repeating details of what a customer tells you back to them is one effective way to demonstrate active listening and is sure to help calm a frustrated customer.
When an upset customer shares their issue, thank them. Negative feedback is valuable, as it highlights areas for improvement. Showing genuine appreciation reassures customers that you’re committed to solving their problem, which can help diffuse frustration.
With Gorgias and Yotpo, you can track customer reviews to tailor responses or even launch win-back campaigns, like offering a discount.

Implement a few of these customer support tips and see how much you boost revenue and productivity. Start by giving your customer service reps in-depth product training and automating simple responses that don’t require a human touch.
Find out how Gorgias' industry-leading customer service tools helped Kirby Allison boost conversions by 23% after automating 30% of tickets.
To learn more about how Gorgias' cutting-edge customer service and automation features can help you improve customer service at every level, book a demo with Gorgias.
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Inventory management and order fulfillment are often two of the more time-consuming tasks of running a Shopify store. However, the ability to ship orders on time is also key for ecommerce businesses to deliver a great customer experience. 22% of online shoppers will abandon their order if they see that it will take too long to be delivered.
Relying on a third-party fulfillment solution is one way to mitigate the challenges of order fulfillment and provide the speedy fulfillment services that today's customers have come to expect. Of the various fulfillment providers online retailers have available, the Shopify Fulfillment Network is one option to consider for merchants who sell on Shopify.
In this Shopify Fulfillment Network review, we'll cover everything you need to know about outsourcing your order fulfillment responsibilities to Shopify. We'll dive into what the program is and how it works, the biggest benefits it offers to online retailers, comparable alternatives, and a conversation with Supply CEO and co-founder Patrick Coddou on his company's experience with Shopify Fulfillment Network.
Don't have time to read our full review of the Shopify Fulfillment Network? Here’s a summary of our thoughts on the program:
Joining the Shopify Fulfillment Network won't reduce your order fulfillment expenses. As a matter of fact, it will more than likely increase them due to the various fees that Shopify charges as part of the program. However, joining the network will allow you to:
If you can afford to join the network and don’t have the know-how or in-house capacity to handle fast fulfillment, the SFN. If you’re a small operation and longer shipping times haven’t hurt your purchase rates, then you might consider an alternative fulfillment solution.
The Shopify Fulfillment Network (SFN) program is similar to Amazon's FBA (Fulfillment by Amazon). It lets you ship your products in bulk to a single Shopify warehouse, where they are then distributed to a network of fulfillment centers across the United States and Canada.
Along with inventory storage and warehousing services, SFN also offers ecommerce fulfillment services. When a customer orders one of your products, Shopify will pick and pack the product from the nearest fulfillment center and ship it to the customer on your behalf.
This program allows business owners to reduce the tedious tasks associated with ecommerce fulfillment. It also offers additional benefits as well, such as the ability to provide faster shipping and access to powerful analytics for demand forecasting and improved inventory management.
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In June 2019, Shopify announced that it would be spending $1 billion to launch the Shopify Fulfillment Network. A few months later, in October 2019, this plan was accelerated when Shopify acquired 6 River Systems — a company that produces robotics for warehouse management.
By October 2020, the SFN had increased its shipping volume by 2.5x compared to the first quarter of 2020. One driving factor behind the network's faster-than-expected growth was the increase in online shopping driven by the COVID-19 pandemic. In comments made to the Wall Street Journal, the program director stated that the pandemic pushed the program's development forward by about 10 years.
In 2022, the SFN continues to go through some understandable growing pains. The program continues to add new merchants and fine-tune its services. Today, the network has nine different centers in North America that are all operated by third-party fulfillment partners.
Joining the Shopify Fulfillment Network offers merchants plenty of benefits, allowing them to create a fulfillment operation that essentially runs itself. The biggest benefit of outsourcing your order fulfillment is saved time.
As Sergio Tache, CEO of Dossier says, “I shipped everything myself and made a lot of trips to the post office. It was intense and pretty tough. You quickly reach that breaking point, where you cannot do it any longer, and it’s not worth the compromised quality of life.”
Along with saved time, the SFN offers several other noteworthy benefits, including:

One key benefit of the SFN compared to similar networks such as FBA is that the SFN lets you customize your product packaging. This enables you to develop branded packaging for your products to help market your store instead of shipping your packages in Shopify-branded packaging. This gives you greater control over your branding and marketing overall.
Best of all, packaging comes free to SFN merchants. While there is still a fulfillment cost associated with using the FSN (and it might be higher than your current shipping costs — more on that later), paying for packaging is not one of those expenses.
Even if you sell from multiple marketplaces and sales channels, partnering with the Shopify Fulfillment Network makes inventory management a breeze. All you have to do is ship your products in bulk to a single SFN fulfillment center, and Shopify and its partnering third-party logistics companies will take care of the rest. Shopify even provides recommendations for minimum inventory levels, allocation, and when it's time to reorder products.
All these tedious logistics being handled elsewhere can be a huge weight off your shoulders — and a great way to lighten the load on your employees as well.
By simplifying your inventory management responsibilities, joining the SFN can free you up to focus on other tasks and ensure that you don't encounter any inventory management mistakes that lead to out-of-stock products and unhappy customers.
Another way that the Shopify Fulfillment Network helps simplify inventory management and ensure fulfillment success is through insightful real-time analytics that you can use for demand forecasting. Members of the SFN can look forward to having a wealth of customer data at their disposal — data to forecast demand so that your inventory is kept at optimum levels all year long.
One of the biggest benefits of the Shopify Fulfillment Network is the potential for expedited shipping. Thanks to the network's streamlined and automated order fulfillment process and its strategic inventory distribution, the SFN can ship products to most US customers within two days. In many cases, merchants who are members of the SFN can even offer customers same-day fulfillment. This is nearly impossible for most brands — especially smaller brands — that manage fulfillment in-house.
Given current customer expectations, this ability to offer faster shipping is something that could make your products far more appealing to online shoppers. Research by Deloitte indicates that 67% of online shoppers want their items delivered in two days or less.
One of the ways that the Shopify Fulfillment Network can expedite order fulfillment is through an optimized inventory distribution strategy. By distributing products across a network of fulfillment centers that spans the U.S. and Canada, the SFN can ship orders from the fulfillment center closest to the customer for faster delivery times. And faster delivery times lead to greater customer satisfaction.
Shopify doesn't just spread products across these warehouses blindly, though. Instead, the SFN uses machine learning to predict demand and strategically distribute inventory. This is a strategy that large corporations have been using to optimize their supply chains for several years now. Thanks to the SFN, it's a strategy that ecommerce stores of all sizes can now leverage to meet consumers' increasingly short delivery window expectations.
There's no denying the fact that the Shopify Fulfillment Network offers great functionality and a number of considerable benefits. However, these benefits do come at a cost.
There are several different fees that you will incur as a member of the SFN, and these fees will vary depending on factors such as your inventory volume, the number of product returns that are processed, and more. Shopify doesn't provide pricing for most of these fees and instead requires merchants to apply for the program to receive a custom quote.
However, Shopify does include an interactive tool to estimate the domestic fulfillment rate per item, depending on the number and weight of items, on their website:

One of the more substantial fees that you will incur as a member of the SFN is storage fees. Shopify doesn't charge storage fees for products sold within six months of being shipped to an SFN fulfillment center. But if your products sit for longer than six months, you will begin incurring storage fees of $2.25 per cubic foot per month. This makes it essential to develop an inventory management strategy that limits the number of products sitting in storage for long periods.
If you have any additional requirements, such as the need to put together special bundles for the holiday season, you will have to pay a one-time "special projects" fee. This fee is variable depending on the project's scope but can often be substantial.
Now that we've looked at the benefits and costs of the Shopify Fulfillment Network, the question is whether its benefits outweigh its costs. As with the fees themselves, though, the answer to this question will vary from business to business. To help you decide if joining the SFN is the right choice, let's look at a few instances when it is and is not worth the cost.
There comes a point in a company's growth when many business owners have more money available than time. If you are trying to scale your ecommerce store but are too bogged down by day-to-day responsibilities such as order fulfillment, the SFN can be a great way to take a lot of burdens off your shoulders. However, it won't reduce your shipping costs and will likely increase the money you spend on inventory management and order fulfillment rather than reduce these expenses.
Of course, you need to factor the potential revenue-boosting benefits of the SFN into this calculation. Along with freeing you up to grow your company and make it more profitable, the expedited shipping that the SFN allows may also directly boost your sales by making your offerings more appealing to potential customers.
A few other qualifications can easily determine whether or not your business is a good fit for the Shopify Fulfillment Network. For one, you need not apply to the SFN if you are shipping less than 10 orders per day; the program does not accept merchants with lower volumes, and it wouldn't be worth your time even if they did.
The program is also only available to sellers in the U.S. or Canada, and only to companies with under 2,000 unique SKUs.
If you meet all of these qualifications and can justify the fees, joining the SFN can be an excellent way to scale your company without building your own supply chain from the ground up.

ShipBob is a third-party order fulfillment provider that offers services similar to those of the Shopify Fulfillment Network. Like the SFN, ShipBob enables you to ship your products in bulk to a single ShipBob warehouse, where they are then distributed to fulfillment centers all over the globe.
The "All over the globe" is actually one advantage that ShipBob has over Shopify’s fulfillment services — with ShipBob, you can ship products from 30+ fulfillment centers across six different countries. Ecommerce businesses that sell to a lot of European and Australian customers are therefore likely better off choosing ShipBob than the Shopify Fulfillment Network.
Like SFN, one of ShipBob’s biggest benefits is helping brands of all sizes offer fast shipping — ShipBob even guarantees two-day shipping everywhere in the US.
ShipBob is a 3PL, or a third-party logistics provider. Shopify itself is not a 3PL, it’s a middleman between Shopify stores and other 3PLs and warehouses. This isn’t a bad thing, per se, but it introduces an additional player and potential for disconnect, confusion, and lack of accountability that you wouldn’t have by partnering directly with a 3PL.
As with the SFN, pricing for ShipBob varies depending on your needs, and ShipBob requires you to contact them for a custom pricing quote. This makes it difficult to compare the cost of ShipBob vs. the cost of the SFN in a blog post. However, ShipBob packs quite a bit more value than SFN due to its focus on order fulfillment and maturity. Here are a few of the pros ShipBob has over Shopify’s fulfillment system:
Applying for the Shopify Fulfillment Network is a quick and simple process. All you have to do is create a Shopify account, ensure that your business meets the qualifications to join, and apply online by contacting Shopify. You can start the process by clicking “Learn more” on this page.
Once Shopify receives your application, their team will review your business to see if it is a good fit for the SFN. If accepted, Shopify will provide you with a custom quote detailing all the one-time and ongoing fees you will have to pay. If you choose to proceed, you will gain access to the Shopify Fulfillment Network app within your Shopify store.

To better understand the value of the Shopify Fulfillment Network, we sat down for a discussion with Patrick Coddou — co-founder and CEO of Supply, the personal-grooming ecommerce store. You can listen to our conversation in the last third of this podcast episode:
From what Patrick remembers, Shopify reached out to him about Supply being one of the early adopters of the Fulfillment Network. Since he has long supported Shopify and openly acknowledges that it allowed him to accomplish his dreams, Patrick was excited about the opportunity. He told us that he sees this as another way that Shopify will continue to change people’s lives for the better, and he wanted to be a part of it. He was also interested after hearing all the buzz about Shopify's new program.
So, he said yes (obviously).
He told us that right now it’s still a small program — almost the equivalent of a beta project — and they have strategically dispersed warehouses that are white-labeled for their merchants.
We’re here for it. And so far, Patrick is, too: After months of experiencing it firsthand, he’s still loving it.
Supply's Shopify Fulfillment Center is in Austin, Texas, and across the U.S. there are about three centers in total with approximately 10 or fewer merchants (Note: This is Patrick’s best guess on numbers). As Shopify continues to test and perfect the program, these numbers will undoubtedly increase.
One of the biggest value-adds from the Shopify Fulfillment Network is that the software actually lives in your online store. There’s a fulfillment app, which is how Patrick and the Supply team review their inventory levels, along with other settings that really come in handy.
Though it’s not a very robust software right now, and merchants such as Supply are still waiting on Shopify to work through some of the kinks, there’s a very clear and strong potential here that could help countless ecommerce businesses.
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Joining the Shopify Fulfillment Network can be an excellent way to streamline your order fulfillment process, speed up your delivery times, and reduce your daily workload. However, it isn't the only order fulfillment solution available today.
At Gorgias, we recognize how important it is to have effective inventory management and order fulfillment. That's why we've designed our comprehensive customer support platform to integrate with numerous inventory management and order fulfillment solutions, including ShipBob, ShipMonk, LateShipment.com, and more.
To learn more about these powerful integrations, check out our full list of shipping and fulfillment integrations.

TL;DR:
Customer service forecasting is tough in any season. But during Black Friday and Cyber Monday, it’s even harder. Fast growth can throw your estimates off, and miscalculations have real costs. Too few agents can lead to burnout and long wait times, while too many means wasted budget on unused headcount.
The good news is forecasting doesn’t have to be guesswork. Instead of trying to predict the future, it’s better to forecast customer service volume as a percentage of revenue growth.
Following this best practice gives you a much clearer picture of staffing levels, when to bring in more help, and how to plan your support team for BFCM and beyond.
At HelpFlow, we run 24/7 live chat and customer service teams for over 100 stores. We’ve helped brands improve their customer experience through huge holiday seasons, new product launches, and even lean downturns with our accurate forecasting model.
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For CX leaders, forecasting helps make sure your team is ready for whatever comes next.
Accurate forecasts help you:
Bottom line: Forecasting volume lets CX managers run proactive, not reactive, support operations.
Don’t wait until your agents are overwhelmed to decide if you need more help. Forecasting support volume should be proactive and data-driven. The good news is you only need two inputs to get started: sales transaction volume and ticket volume over a set period of time.
With data from Shopify and Gorgias (plus Google Analytics if you’d like more context), you can calculate your ticket-to-order ratio, or how many tickets your team receives for every 100 transactions. This ratio stays surprisingly steady as you grow, making it one of the most reliable ways to forecast ticket volume and plan headcount.
To find your ticket-to-order ratio, divide tickets by orders within a set period of time.
To find your average number of orders on Shopify, go to Analytics -> Reports and select your date range. Find your total orders under the Orders column. On other ecommerce platforms, the process is similar—look for order or transaction reports in your analytics dashboards.

Note: You can also get this data from Google Analytics by going to Conversions -> Ecommerce -> Overview and selecting the target date range. The transaction count will be under the Transactions field.
This might not be accurate if a significant portion of your orders are subscriptions that are not tracked in Analytics. Still, it will be close enough for now as long as you continue to use this transaction count in future calculations.

Next, you need your average ticket volume. In a customer experience platform, like Gorgias, find this number by going to Statistics -> Support Performance -> Overview → Created Tickets and select the same time period.

Put it all together: Plug in your order number and ticket volume into this formula: tickets ÷ orders. For example, if you had 1000 orders and 400 tickets, then your ticket ratio is 40. This means for every 100 transactions, 40 tickets are created.
Pro Tip: We typically see the ticket ratio anywhere from 30% to 50%. For stores that use customer support automation in their helpdesk workflow, the ticket ratio normalizes to about 20%.
Related: Orthofeet took a step in the right direction by automating 56% of tickets in 2 months with Gorgias
Once you have the ticket-to-order ratio, you need a baseline business metric to anchor your forecast. In other words, you need a way to estimate how many orders will be placed. That order volume is the bridge between sales activity and customer service demand.
Here’s how to project ticket volume using cost per acquisition, average order value, or ticket ratio.
Once you’ve forecasted ticket volume, the next step is translating it into how many team members you’ll need.
Related: How Psycho Bunny avoided adding additional headcount while doubling revenue
At some point, you can’t just throw more people at the problem. People are a finite resource, and it takes time to hire and train competent agents. Don’t let yourself end up in that position as you drive growth.
To run an effective customer service operation, you should have benchmarks set for agents’ capacity to handle tickets. With this data, you can convert the forecasted ticket volume into a forecasted agent headcount needed to handle that volume.
How to calculate agent capacity: Find the average number of tickets resolved per agent over a specific time period. Be sure to focus your analysis on full-time agents, not part-timers who jump in from time to time.
In Gorgias, navigate to Statistics -> Support Performance -> Agents, and locate the data under the Closed Tickets column.

Pro Tip: We typically see anywhere from 40 to 60 tickets per day per agent as a healthy benchmark.
Once you’ve forecasted ticket volume, the next step is turning that into staffing needs (so start preparing your interview questions). Here’s how it works in practice:
Projected tickets: 4,000 (Nov–Dec)
Agent capacity: 40 tickets/day
Monthly agent capacity: 40 tickets/day × 5 days/week × 4.3 weeks/month = 860 tickets per agent per month
Required agents:
This gives you a concrete, data-backed number you can use for BFCM staffing plans, instead of guessing or waiting until your team feels overwhelmed.

This is a little simplistic since it assumes the tickets come fairly uniformly during that time, but the basic forecasting process here is sound.
Check out HelpFlow.com's free Customer Service Forecast Calculator (no email address required).
The way you handle customer service has a massive impact on sales. Based on Gorgias support performance data across all customers:
Slow responses cost revenue, and live chat conversion rates drop sharply when first replies take more than 10 seconds. If your team is overloaded, hitting <10 minutes on tickets or seconds on chat just isn’t realistic without the right tools.
Two options to consider:
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In August 2020, Amy started her job at Gorgias as a Customer Success Manager. Fast forward to today: Amy has held four positions in the company, pioneered two brand-new Gorgias programs, and holds a new position as the Manager of Customer Education.
How is that possible in only two years? What special sauce has she found at Gorgias that keeps her going? And what kind of higher education was the precursor to her professional success?
Read the interview with Amy to learn more about her dynamic career evolution and the support Gorgias provided to make it possible.
My career path is a little unconventional. After finishing school I decided against going to university and launched into full-time work instead, picking up study later in life.

I was fortunate to find a field where adaptability, problem-solving, and experience in customer relationships held high value in junior roles. When I transitioned to tech in my mid-twenties I had six years of hands-on experience which was a huge advantage in the startup space. From there, all of my training has been “on the job.”
I’ve been lucky to work underneath brilliant managers, most of whom were female. They provided me with excellent opportunities to benefit from industry-leading mentorship.

It is a classic story — I stumbled across a position on LinkedIn.
After doing the case study the product had me hooked. I saw its potential to help merchants deliver an exceptional customer experience and drive revenue from happy shoppers. From that point, all my eggs were in the Gorgias basket.
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At that point, Gorgias had just raised a 25M series B funding and had around 75 employees and 5,000+ customers.
Back in August 2020 when I initially started in Gorgias, I was a Customer Success Manager. I started when the Success team had half a dozen people wearing many hats.
The CSM role was originally a hybrid position — encompassing both CSM and Onboarding Manager responsibilities. The focus was on managing full-cycle customer relationships: retention, churn, and expansion.
As Gorgias grew, Success roles were split into specialties, and a new department was created to service our non-managed merchants. I transitioned into Scaled Programs, a two-woman team led by Elena Balagush (who we recently welcomed back to the Gorgias family.)
Being a new function there was plenty of trial and error but always support from leadership which was essential to our success.

In this role, I managed merchant relationships using a one-to-many approach and maintained a local book of business. After a few months, I was promoted to senior CSM — a natural progression for anyone at Gorgias who performs well. While continuing the above duties, I took on additional education duties running webinars and creating educational content.
After realizing the value of education, I upskilled in eLearning, content creation, and instructional design. The culminating project was setting up the Gorgias Academy.
While I built the academy, I needed to prove its impact (one of Gorgias’ values is to maximize your impact, so everyone is accountable for delivering measurable results). I focused on before/after data comparisons to show the substantial impact the academy was having.
After proving the function was valuable, I moved into the Customer Education Specialist role as a one-woman show.

From there, the upskilling continued. With incredible guidance and investment from my brilliant manager Elise Kubicki, I was equipped with the tools necessary to make the Customer Education function (CEd) a success.
One of the most valuable strategies I had was connecting with industry leaders. I became an active member in a few CEd communities and leveraged group tips/feedback to guide decisions in lieu of a team. One particular community is called Customer Education Org run by Sumeru Chatterjee. The support from other CEd leaders has been instrumental to my career growth.
After managing a substantial workload and delivering high-quality results consistently, Elise generously promoted me into a management position which I’m thrilled to be in today.
Elise, my manager, has been incredible. She led by example and gave me an excellent benchmark for what a manager should look like. She encouraged me to be brave with ideas and trust my intuition and experience. She listened to me pitch new strategies, provided feedback to strengthen my proposals, and gave me the confidence to execute my ideas.
Without a manager who fostered open communication and responded with encouragement and empathy, I would never have advanced this quickly.
Gorgias is also committed to getting the right tool for the job. We invest in technology. I could not have performed at the volume or velocity I did without a company that understands the benefit of a solid tech stack.
Elena Balagush was my manager when I was on the Scales Programs team, and she is also amazing. She celebrated my wins and gave me the freedom to go after new, out-of-the-box ideas.
Honestly, balancing all my responsibilities took a whole lot of time. But Gorgias investing in the right technology is a big factor — if I had to work without the right equipment, I could not have delivered quality content on time. I’m extremely grateful for this. Not enough businesses respect the impact the right tools can make.
The $2,000 learning stipend is also amazing. I managed to do most of my training for free but having funds available gives me the confidence to take on projects that require new skills. I used a portion of it to complete certifications in different areas like SQL.
Gorgias is also full of amazing, collaborative people. Openness with colleagues and genuine interest in sharing skills is not common. It’s one of the things that makes Gorgias an incredible place to work.
I don’t think many companies would match the level of trust Gorgias had when I was piloting new projects. Beyond that, there are a few factors that other companies struggle with that I feel are important to mention:
If departments operate in closed silos, they can find themselves striving toward opposing goals. At Gorgias, we are all aware of the major targets and work toward them together. We celebrate wins as a team and take responsibility for setbacks as a team.
This unity gives us a huge advantage because everyone wants everyone to do well.
Healthy competition is good. But too often, leadership uses competition as the primary way to drive results. The notion that only one can win can be archaic and doesn’t motivate all personality types.
At Gorgias, we have the understanding that if everyone exceeds the target, everyone is eligible to advance their career, be it in a different role or a different team. That’s motivating.
At Gorgias, the idea is to hire the best of the best. The result is that everyone is hungry to become a better version of their professional selves, and Gorgias repays that hunger with great career progression, room (and budget) to learn new things, and a healthy collaborative atmosphere.
The combination of the enormous amount of work to do and the brightest minds around means you are constantly encouraged to push yourself to deliver great work, fast. We all help each other to upskill and remove bottlenecks that occur when there isn’t enough work to go around.
Not knowing why decisions have been made can plant the seed of doubt in the workforce, causing staff to be in a constant low-level state of panic. Gorgias operates with radical candor, meaning no matter what happens — good or bad, at the individual contributor level or in leadership — we understand why. This alleviates the stress associated with ‘the unknown’ and leaves employees' minds free to be creative and push harder in the right direction.
To recap, Gorgias’ values are:

The honesty value is a huge benefit to me, personally. I am relaxed knowing leadership is open to hearing feedback from all levels of staff and that blindspots I have will be flagged. I have the confidence to speak my mind and know I will be heard.
Also, I respect how truly customer-first Gorgias is. Every company says they are customer first but I’ve never seen it lived the way it is at Gorgias. At all levels, we have an unprecedented number of conversations with merchants to learn about their challenges and develop new solutions.
Lastly, my experience hinged on taking extreme ownership. Taking extreme ownership means passing the buck is not an option. This encourages people to think things through and rationalize the why. Knowing I own a project from end to end makes me push harder to deliver work I’m truly proud of.
Elise is amazing (I know I say it a lot but she really is). She started as an Onboarding Manager and is now leading the whole success department — and that’s a mammoth workload.
She moved from onboarding manager to interim head of success in less than a year. She is now our VP of Success and, gosh, she earned it. She lives and breathes Gorgias' values - it shows in the team she’s chosen, of which I’m honored to be a part.
We also recently welcomed back Elena Balagush, who was my manager before Elise. When staff return to an organization it speaks volumes about the environment.
Does it have to be just one? Here are a few of the standouts:
A great deal of my success at Gorgias is due to supportive management. First, in Success from Chloe Kesler, then in Scaled Programs from Elena Balagush, and in the last 12 months from our outstanding VP of Success Elise Kubicki.
I have a particular soft spot for Elise, as she gave me the skills to develop strategies and concepts of my own but, more importantly, instilled in me the confidence to put them into practice.
The Gorgias team, internally, is jam-packed with team members who are experts in their field. This has given many of us a rare opportunity to learn on the job from the industry's best performers.
Following on from my earlier point, the collaborative culture at Gorgias is second to none. I have experienced first-hand the way sometimes competitive nature can become engrained at companies with aggressive goals.
At Gorgias, you won’t find a skerrick of this. Instead, the value of 100% honesty and having a unified goal breeds an undercurrent of genuine camaraderie and a sense of drive to achieve as a collective.
Knowledge is freely shared across all departments and seniority levels. This flat structure encourages curiosity and discussions between everyone — regardless of role.
That we can’t hire everyone. There isn’t a single tech person I know who wouldn’t benefit from the experience of working here.
In the future, I’m going to do everything I can to develop a winning Customer Education program and (fingers crossed) position us as industry leaders in this field.
I’d like to see us continue to roll out new initiatives to help our merchants thrive, especially given the difficult landscape at this time.
I’ll continue to learn and grow in the Customer Education space. I still have plenty of areas to work on — I’m just grateful I’m part of an organization that gives me every possible opportunity to do this.
I’d love to carry on in Customer Education and one day move up into a director position. I’ve got a long way to go but I’m confident Gorgias is the most suitable place for me.
I couldn’t wish for a better manager, better team, or better organization. Results are rewarded and I’m incredibly proud of not just the growth that we’ve seen but the way we got here — we move fast, we make mistakes, we learn and we adapt. Rinse and repeat. That’s the kind of company I want to be with for life.
Interested in joining Amy and the rest of Gorgias team? Check out our jobs page to learn more about our benefits, interview process, and open roles.

Businesses run on happy customers. Happy customers generate repeat business, share positive reviews, and refer others to your brand. Plus, happy customers are cost-effective. Getting a new customer typically costs more than keeping your current ones around.
Net promoter score (NPS) measures how likely a customer is to recommend your brand to someone else. This metric was invented by Fred Reichheld of Bain & Company in 2003 and is a surprisingly good indicator of a company’s success. Companies with high NPS for their industry grow revenue 2.5 faster than their competition, according to research from Rob Markey, founder of Bain & Company’s Customer & Marketing practice.
Want to evaluate the success of your customer experience, product, and overall business? You should measure NPS. Here is a closer look at NPS, including how to calculate and benchmark your score.
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Net promoter score (NPS) is a metric to calculate the quality of your customer experience across every channel based on whether or not your existing customers are likely to recommend your business to someone else.
The net promoter score for your business is essential because it directly reflects how well your business satisfies your customers. It also shows the number of promoters you are creating through your company. It allows you to quantify the sentiment of your customers so you can better serve and satisfy them.

So what, exactly, is NPS measuring? Most directly, it indicates how much of your customer base would recommend your product to others. However, people treat NPS as a metric for brand loyalty, customer satisfaction, overall customer service, and happy customers.
NPS is one of the most common metrics to measure your brand’s customer experience and growth potential. Lumoa, a customer survey company, surveyed customer experience directors. Of the respondents, two-thirds said they prioritize and track NPS.
Calculating your NPS score isn’t difficult once you understand the three types of responses:
The formula for net promoter score is: Total % of promoters - the total % of detractors = NPS

NPS scores are significant for measuring the overall quality of your customer support and interactions. Fortunately, collecting NPS is relatively straightforward — it all boils down to one simple question:
"On a scale of 0 to 10, how likely are you to recommend our product to someone else?"
On this scale, 10 is the highest response: Customers who choose 10 are “extremely likely” to recommend your brand. And 0 is the lowest “not likely at all” response.
Let’s walk through how to calculate net promoter score step-by-step:
Here’s an example: You have a survey that comes back with 60% of the respondents being promoters, 10% of the respondents being detractors, and 30% of the respondents being passives. This is what your NPS calculation would look like:

60% promoters - 10% detractors = 50 NPS
In this scenario, the NPS score is 50. The NPS is always an integer, never a percent.
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A perfect NPS would be 100, but you can score as low as -100. A score below zero is considered poor because it means you have more detractors than promoters. Negative scores indicate your business may have a high churn rate and will struggle to grow. A score of 0 to 30 is acceptable, but anything above 30 is best.
Also, your overall NPS is only one piece of the puzzle. Once you know how to collect survey responses and calculate your score, you can drill down to determine which factors impact your score most.
For example, NPS may vary across your products. If so, you can start investigating whether the low-scoring products are low-quality, have misleading marketing, or something else entirely. Likewise, NPS may vary depending on the customer service channel customers use. If so, you may want to bolster your omnichannel customer service offering.
This is a tricky question to answer. NPS scores range from -100 to 100, so any NPS above zero technically means you have more promoters than detractors. The traditional score breakdown looks like this:
In practice, looking at others in your industry is usually better to determine what is good and what isn’t. Pay particular attention to whether or not your business is B2B or B2C, as B2C scores tend to vary much more widely based on the nature of the consumer products industry.
ClearlyRated’s 2022 NPS Benchmarks for B2B Service Industries illustrates this well, with most B2B service NPS ranging from 23 to 60. In the B2C market, on the other hand, the average NPS ranges from 5 to 62 for 2022.
With NPS, the goal is always to have more promoters than detractors. So, like any score above zero is technically positive, any NPS of zero or lower is a negative score regardless of your industry because it means you have more detractors than promoters.
Whether you want to improve a good score or bring a lousy score up to par, it’s usually about providing a better customer experience. If your score is lower than you’d like, it’s time to analyze the customer experience you’re providing to find weak areas that could improve.
Of course, your score doesn’t mean much without context. Retently’s 2023 NPS benchmark provides excellent data on the average NPS across industries:
Don’t lose hope if your NPS is lower than the numbers above. Every brand is different, and every brand starts somewhere. The most important project is to continuously improve your NPS, regardless of where you stack up against competitors.
The formula is simple enough, but you might want to create a system to process your score continually. We have three recommendations:
If you’re comfortable with Excel or Google Sheets, you can set up a spreadsheet to perform your net promoter score calculation. To do this, you will need to follow these steps with the COUNTIF function:
Plugging these formulas into your spreadsheet allows you to keep tabs on your NPS in real time, updating it as you need to when new survey responses come in.
If you're not great at using Excel, you can also use free NPS calculator tools online. To use one of these, you only need to count up the customer responses on their surveys and put them in the NPS calculator platform. Many survey tools allow you to export the scores easily.
Some good options for free NPS calculation include:
Before calculating your score, you’ll have to send a survey to customers to collect their responses. Some survey tools have NPS calculations built in.
If you use Gorgias as your customer service platform, you can easily integrate a survey automation tool to collect and calculate responses like:
We love and recommend all these tools, but as an example, let’s look at how Delighted and Gorgias work together. Delighted helps you spin up an automated NPS survey — one of many survey templates they offer. Then, you can automatically send out the survey to customer segments on multiple channels via Gorgias:

Source: Delighted
An accurate NPS score helps you grow your business, overall customer retention, and referrals. An inaccurate NPS may point you in the wrong direction. Accuracy doesn’t just mean you used the formula correctly — it also means you’re measuring the full breadth of your customer base and customer journey.
Below are some best practices to implement to make your NPS as accurate and helpful as possible.
First, the type of survey you use is important. There are two main types to choose between: relationship surveys and transactional surveys.
Relationship surveys try to measure a customer's brand or company loyalty. They ask questions about the overall customer experience and how satisfied the customer is with your company. You will send these to your customer base at specific intervals to help you evaluate the quality of your customer experience and support.
Transactional surveys focus on a particular transaction — for ecommerce, this is usually a purchase. The survey questions focus on that transaction, not the overall customer experience. This type of survey might give you better information about the specific product purchased, though it can also skew up or down if the customer contacted customer support.
Most of the time, you’ll start with relationship surveys. Before you drill down to specific products and transactions, it’s helpful to benchmark your customers’ overall sentiment, loyalty, and promoter status.
If you don’t have a helpdesk, you can use standalone NPS software to collect contact information and send surveys. But suppose you have a helpdesk like Gorgias. In that case, you’ll have an easier time automating your NPS surveys with one of the NPS survey tools listed above because your helpdesk already has customer contact information and can automatically send surveys after purchases or customer service interactions.
When you decide to contact, you may be tempted to ask as many questions as possible to maximize the insights you receive. We get it; we love customer insight, too. However, response rates for NPS surveys are low, and customers are even less likely to respond to longer surveys.
You’ll have higher response rates if you focus your NPS surveys on two questions:
As we said above, you should follow up after a respondent gives you their score to understand why they answered that way. Leaving the question as optional won't impact the number of NPS questions you get back, but you may get some critical qualitative data from customers who choose to fill out the open-ended question.
Open-ended questions require more than a "yes" or "no" response. Here are some examples of open-ended questions that work well:
Make this question about the customer, using plenty of second-person pronouns, and let them have an open forum to add a response. Use the information you gather to help you improve your customer satisfaction in future interactions.
It's easy to get caught up in details and never actually launch your NPS survey. While you want an effective survey, don’t let perfect get in the way of done. Even if you only have a small amount of data initially, you will have some. NPS surveys are not one-and-done; you can optimize your next survey to get more responses.
Start with the relationship survey and send it to your current customers. Then, after receiving responses, tweak your survey and send it to different customer base segments. Continue tweaking the frequency, wording, and targeting until you get a statistically significant number of survey responses.
Don't wait to start until you have a perfect system — you'll lose valuable data if you do.
Experiment with the timing of your survey to maximize the total number of respondents. We’re unaware of any universal best practice for the time and day of the week to send out NPS surveys. The timing will depend on your specific customer base, so experiment until you find the sweet spot.
Some survey automation tools, like those mentioned above, will send surveys in response to customer actions. For example, a customer could get a survey a few hours (or days) after purchasing or contacting customer support. This is a great way to ensure you target customers who are actively engaged with your brand.
Want to improve your survey response rates? Check out our list of best practices for improving your NPS response rate.
Finally, ensure you test your survey in-house before sending it to actual customers. There is nothing worse than a poorly worded, poorly functioning survey. Send a test survey to people within your organization first, and make sure it gets to their inbox and not the spam folder.
What might trigger a spam flag in the invitation email for your survey? Here are some things to avoid:
Send the invitation email to people in-house and make sure everything works. The email should open, be easy to read, work on multiple browsers and email programs, and make sense to the reader. Take feedback from your team to tweak the email and ensure the survey has the best chance of getting read and responded to once it reaches your customer.
The primary purpose of NPS is to give you an overall impression of brand loyalty. Another benefit is to identify — and fix — low-NPS interactions as they happen.
We recommend identifying some of the top reasons for low scores and implementing a system to respond to incoming low scores quickly. In Gorgias, for example, you can set up an automated Rule to automatically create a ticket for incoming NPS scores and assign low NPS scores to a dedicated agent.
As your team grows, you can even dedicate agents to each common issue: damaged products, delayed shipping, etc. Gorgias’ intent detection automatically analyzes tickets to identify the root cause of the problem and, combined with Rules, can send each issue to a specialized agent:

Source: Gorgias
Treat those flagged low scores as priority tickets and establish a suitable solution for each reason. For example, you could send a gift card to customers who receive a late or damaged product.
These conversations may be sensitive and challenging, especially among VIP customers. So, we recommend activating phone support as a last line of defense for customers with a negative experience.
Raising your NPS is one of the revenue-generating tactics from our CX-Driven Growth Playbook, which is based on research of over 10,000+ top ecommerce brands. Check out the playbook for 17 more actionable tips to drive revenue by improving your CX.
Net promoter score is a rich metric, but it’s not the only — nor necessarily the best — way to gauge customer loyalty. One issue is the premise of the survey itself: Just because a customer might promote your brand doesn’t mean they’ll stay loyal. A customer might recommend your product to a friend but choose not to purchase it again because your product is too expensive for them.
We recommend complimenting your NPS efforts by measuring customer satisfaction (CSAT), mainly to gauge the performance of your customer support team. Whereas NPS helps you understand the potential for referral-based growth, CSAT asks about customer loyalty more directly: How satisfied are you with the help you received today?
If you use Gorgias, you can automatically send customer satisfaction surveys after closing a conversation with a customer:

Source: Gorgias
This information will be displayed in future discussions to give the next agent context about this customer’s past experiences with your brand. Plus, you can zoom out to get a sense of CSAT across your entire customer base with the platform’s customer satisfaction dashboard:

Source: Gorgias
Data from our CX-Driven Growth Playbook indicates your CSAT and revenue are linked. For example, raising your CSAT from 4/5 to 4.9/5 can raise your overall revenue by 4%.
Want to better understand your ecommerce business’s overall performance with metrics like conversion rate, acquisition costs, and lifetime value? Check out our guide to ecommerce KPIs.
Want to zoom in on your customer service department’s performance with metrics like NPS, CSAT, and support performance score? Check out our guide to evaluating customer service.
A good NPS score means your customers are happy and they are spreading the news about your product via word of mouth. Gorgias helps ecommerce brands improve customer experience to drive customer loyalty, referrals, and revenue.
One of our customers, Bagallery, saw their NPS go from 19 to 41 after partnering with Gorgias. Another client, Comme Avant, now maintains a nearly perfect NPS after switching to Gorgias.
And with Gorgias, NPS is only the tip of the iceberg for reporting and analytics. You have access to reporting dashboards like our Support Performance dashboard, which combines many key customer service metrics, and our Live Statistics dashboard, which shows up-to-date information about each agent's performance.
Sign up for a free trial to see Gorgias' powerful tools for reporting, analytics, and omnichannel customer support.



