TL;DR
At Gorgias, we work with over 16,000 ecommerce brands and one common challenge emerges over and over:
Ecommerce tools are essential, but too many tools becomes a burden.
With different teams responsible for different functions, brands risk creating a disconnected tech stack that causes inefficiencies, reduces productivity, and ultimately impacts profitability.
Ecommerce teams are shuffling between tabs, copying and pasting order numbers, searching for customer data, and trying to piece it all together. It’s not only inefficient—it’s expensive, frustrating, and unsustainable as you scale.
So we dug into that data.
Our 2025 Ecommerce Trends Report surveyed ecommerce professionals across industries and job roles to understand what they really think about tech stacks and AI’s role in it.
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There is now an ecommerce app for every possible use case a brand could need. But as businesses adopt new technologies for each part of their customer journey, their teams end up working out of dozens of platforms.
The study found that 42.28% of ecommerce pros use at least six apps daily to perform their role. Regardless of the number of apps used, integration and compatibility are a must. When technologies don’t talk to each other, you spend time context-switching instead of focusing on customer experience.
For Audien Hearing, Gorgias’s open API allowed them to create an integration with its warehouse software to manage returns directly in Gorgias rather than a shared Google spreadsheet. This integration helped them reduce returns by 5%, protecting their margins and leading to higher customer satisfaction.
Read more: How Audien Hearing Increased Efficiency for 75 Agents and Reduced Product Returns by 5%
The most successful ecommerce brands aren’t necessarily using more tools—they’re using smarter tools. Leading businesses are opting for platforms that are deeply integrated, AI-compatible, and built specifically for ecommerce needs.
A growing tech stack also comes with a growing tech budget. Each new app has new costs, including subscriptions, set-up, management, and development fees. They quickly add up.
Nearly 40% of ecommerce professionals spend $5,000 to $50,000 annually on their tech stack.
We asked ecommerce professionals what they actually value in their tools. Unsurprisingly, the answer changed based on who we were talking to.
Top tool benefits included:
There’s a clear difference between what ecommerce leaders and agents value in a tool and considering both is key to success.
Despite the benefits of using fewer, well-integrated tools, there are a few things that hold brands back from consolidating their tech stacks.
We asked respondents:
What, if any, are the biggest deterrents to consolidating your tech stack?
Top concerns are:
AI is dominating the world of ecommerce. It impacts every aspect of the customer journey, from brand discovery to the post-purchase experience. AI is actively reshaping the way ecommerce professionals work, so we wanted to know how they feel about it.
Despite growing usage and excitement, teams still have their concerns with AI:
Read more: 8 AI Trends in Ecommerce: What’s Changing and How to Prepare
The most impactful use cases we’ve seen aren’t just about reducing support ticket volume. AI is now driving revenue, increasing conversion rates, and enabling 24/7 coverage without expanding headcount.
Gorgias’s AI Agent is now capable of virtual sales assistance through personalized product recommendations, dynamic discounts to reduce cart abandonment, and cross-sells and upsells.
Top brands are already leveraging these new capabilities and seeing results. For example:
We asked one final question to make ecommerce folks really reflect on how they work:
How many tabs do you currently have open?
The average ecommerce professional works with 22 open tabs. We’re not here to judge, but if you’re looking to close a few of those tabs, Gorgias might be what you’re missing.
Gorgias replaces all that complexity with a single workspace. From support to sales, order management to automation, it all happens inside one platform.
Ecommerce businesses can now leverage Gorgias’s Advanced AI for both support and sales. Within the same AI Agent, ecommerce brands can
This blog just skims the surface of what we uncover in our 2025 Ecommerce Trends report.
Want the full story?
Download the complete 2025 Ecommerce Trends: AI Adoption & Smarter Tech Stacks report to access:
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TL;DR:
When customer service teams are at their busiest, they need a helpdesk that keeps up. That’s exactly why our Site Reliability Engineering (SRE) team has been working behind the scenes to make the Gorgias platform faster than ever.
Over the past year, we've made remarkable improvements to our platform to eliminate bottlenecks, speed up data retrieval, and reduce incidents. For you, this means fewer disruptions, faster load times, and a more reliable helpdesk experience.
Here's how we did it.
Our platform relied on a single, shared database connection pool to manage all queries. Think of it as having just one pipe handling all the water flowing through your house — when too much water rushes in at once, the whole system backs up.
In practice, this meant a single surge in database requests could clog the entire system. When lower-priority background tasks got stuck, they could prevent high-priority operations (like loading tickets or running automations) from working properly. This would cause the entire helpdesk to slow down or, worse, become completely unresponsive.
Using PgBouncer, a tool that manages database connections and reduces the load on a server, we implemented multiple connection pools. Instead of relying on a single pipeline to stream all requests, we created separate "pipes" for different requests.
Like how road traffic picks up again after an exit, routing our database traffic into separate connection pools makes sure high-priority customer interactions don’t lag behind automated background tasks.
This solution is future-proof. In the event that a lower-priority task is delayed in one connection pool, other functionalities of the helpdesk will continue working because of the remaining connection pools.
The results speak for themselves:
We've eliminated incidents caused by connection pool issues in the helpdesk completely. This reduced major helpdesk outage incidents by around four per year and maintained an average uptime of over 99.99%.
As Gorgias grew to over 15,000 customers, so did the volume of data. We’re talking data from tickets, integrations, automations, and many more. The combination of more users and data meant slower searches within the helpdesk.
However, the amount of data was not the problem — it was how our data was organized.
Imagine this: An enormous storage room full of file cabinets containing every piece of data. Sure, those file cabinets kept data organized, but you would still need to spend time searching through the entire room, running up and down aisles of cabinets, to find your desired file. This method was cumbersome.
We needed a more efficient way to keep our data easy to find, especially as more customers used our platform.
The answer was database partitioning — breaking our large datasets into smaller, more manageable segments. Using Debezium, Kafka, and Kafka-connect JDBC, all managed by Terraform, we migrated over 40TB of data, including 3.5 billion tickets, without a moment of downtime for our merchants.
Instead of a giant room with thousands of file cabinets, we divided that giant room into 128 smaller rooms. So now, instead of looking for a file in one room, you know you just need to go into room number 102, which has a much smaller area to search.
This approach allows our system to quickly pinpoint the location of data, significantly reducing the time it takes to find and deliver information to users.
Additionally, database maintenance has become more efficient. Some of the partitions can probably sit without needing to be changed at all. We just have to maintain the partitions that are getting new files, which cuts down on maintenance time.
Better database partitioning provides several benefits:
When incidents occurred in the past, our response process was inconsistent, leading to delays in resolution. It was sometimes unclear who should take the lead, what immediate actions were required, and how to effectively communicate with affected customers.
Additionally, post-incident reviews varied in quality, making it difficult to prevent similar issues from happening again. We needed a standardized framework to address incidents in a timely fashion.
To streamline incident management, we introduced a replicable, automated process:
With our improved incident management process:
With more brands catching on to how essential a solid CX platform is, our team's got our work cut out for us. Here's what's on the way:
Gorgias will inevitably face new challenges in performance — no system is completely immune to downtime.
But we've built our architecture with the future in mind, and it’s more resilient than ever as more and more brands realize the power of conversational AI CX platforms.
The result? A platform you can count on to help you deliver exceptional customer service, without technical issues getting in the way.
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TL;DR:
AI is no longer a futuristic concept associated with sci-fi movies and robots. It’s driving real change in ecommerce right now. Currently, 84% of ecommerce businesses list AI as their top priority. And it’s only getting bigger. By 2034, the ecommerce AI market is expected to hit $62.64 billion.
Brands that use AI to improve personalization, automate customer support, and refine pricing strategies will have a major competitive edge.
The good news? Most brands are still figuring it out, which means there’s huge potential for early adopters to stand out.
Let’s dive into the key AI trends shaping ecommerce in 2025, and how you can use them to future-proof your business.
Instead of searching for keywords, shoppers can upload a photo and instantly find similar or matching products. Visual search eliminates the guesswork of finding the right words to describe an item and reduces friction in the search process.
In 2025, improvements in computer vision and machine learning will make visual search faster. AI will better recognize patterns, colors, and textures, delivering more precise results in real-time.
For customers, visual search simplifies product discovery while brands benefit from increased average order values. Visual search creates more opportunities to surface related products that customers might miss during manual searches, ultimately boosting conversion and revenue.
Pinterest is already doing it. With Pinterest Lens, users can take a picture on the spot to find similar products or ideas to help them with easier purchases or creative projects.
Pro Tip: Optimize product images and metadata (like color, size, and material) so your products appear accurately in visual search results. Clean, high-quality images and detailed tagging will make your catalog easier for AI to process and match.
Conversational AI, like Gorgias’s AI Agent, already handles 60% of customer conversations. Brands that adopt it often see more than a 25% improvement in customer satisfaction, revenue, or cost reduction.
Soon, advanced natural language processing (NLP) will make it easier for customers to use text, voice, and images to find exactly what they’re looking for. These multimodal capabilities will elevate support conversations, resulting in fewer abandoned carts and support teams that can focus on more complex issues.
For example, Glamnetic uses AI Agent to manage customer inquiries across multiple channels, resolving 40% of requests automatically while maintaining a personalized touch. Their AI can automate responses to common questions, recommend products based on browsing history, and even track orders in real-time.
Pro Tip: Invest in AI chat tools that integrate with your customer support system and sync with real-time product and order data. Your responses will be accurate and timely, without losing the personal touch.
Read more: The Gorgias & Shopify integration: 8 features your support team will love
According to McKinsey, omnichannel personalization strategies, including tailored product recommendations, have a 10-15% uplift potential in revenue and retention. But with only 1 in 10 retailers fully implementing personalization across channels, there’s a massive opportunity for brands to innovate.
In 2025, AI-driven product recommendations will become even more precise by analyzing customer behavior, preferences, and purchase history in real-time. Predictive AI will adjust recommendations on the fly, showing customers the right products at the right moment.
Take Kreyol Essence as an example. They use Gorgias Convert to track customer behavior and recommend products based on past purchases and browsing patterns. When a customer buys a hair mask, AI suggests complementary products like scalp oil or leave-in conditioner — increasing average order value without feeling pushy.
Personalization boosts sales by helping customers discover products they actually want. Plus, it creates a more tailored shopping experience, which encourages customers to return.
Pro Tip: Test different recommendation strategies, like “frequently bought together” or “you may also like,” to see which ones drive the most conversions.
Learn more: Reduce Customer Effort with AI: A Smarter Approach Than Surprise and Delight
In 2025, more customers may use smart speakers and voice assistants like Alexa and Google Assistant to shop hands-free. AI will improve voice recognition and contextual understanding, so it’s easier for customers to find products they want.
Instead of fumbling with a keyboard, customers will be able to say, “Order more coffee pods,” and AI will not only recognize the request but also pull up the preferred brand and size based on past orders. Less friction will make the buying process more intuitive, especially for repeat purchases.
Voice commerce expands shopping accessibility and creates a more convenient experience for busy customers. It also opens the door for brands to surface product recommendations and upsell during the conversation.
Pro Tip: Optimize product descriptions and catalog structure for voice search. Clear, simple language and detailed product tags will help AI understand and surface the right products.
A recent McKinsey report suggests that investing in real-time customer analytics will continue to be key to adjusting pricing and more effectively targeting customers.
In 2025, machine learning will allow ecommerce brands to adjust product prices instantly based on demand, competitor pricing, and customer behavior. If a competitor drops their price on a popular item, AI can respond immediately, so you stay competitive without sacrificing margins.
Machine learning will also refine pricing models over time, finding the sweet spot between profitability and customer conversion.
For example, AI might detect that customers are more likely to buy a product when it’s priced at $29.99 rather than $30, and adjust accordingly. More competitive pricing means higher revenue and better margins, but it also increases customer trust when prices are consistent with market trends.
Pro Tip: Test different pricing strategies and monitor how they affect sales and customer behavior.
According to McKinsey, AI-driven personalization and customer insights can improve marketing efficiency by 10-30% and cut costs significantly.
In 2025, AI will analyze customer data like purchase history, browsing patterns, and feedback to generate smarter, more actionable next steps. Instead of guessing what customers want, brands will have the data to predict it.
For example, Gorgias’s AI Agent for Sales can identify a shopper’s interest level and purchase intent and then use it to adjust its conversational strategy. It analyzes shopper data like browsing behavior, cart activity, and purchase history.
Here’s how it would behave for different customers:
AI-driven personalization leads to a 5-10% higher customer satisfaction and engagement. Yet, only 15% have fully implemented it across all channels — leaving a huge gap to fill.
In 2025, AI-driven personalization will go beyond product recommendations. Brands will be able to adjust website layouts based on customer preferences, highlight products that align with their style, and even customize customer service interactions.
A higher level of personalization will boost conversion rates and customer satisfaction. When customers feel like a brand “gets” them, they’re more likely to make a purchase and come back for more.
For example, AI Agent for Sales can adjust discounts and provide smart incentives to drive sales. When adjusting for discounts, AI Agent analyzes shopper behavior, including browsing activity, cart status, and conversation context, to offer a discount based on how engaged and ready the shopper is to buy.
Pro Tip: Use AI to test different personalization strategies and refine them based on performance data. Small adjustments, like changing product order or highlighting specific categories, can have a big impact on sales.
Keeping the right products in stock at the right time is about to get a whole lot easier. In 2025, AI will predict demand patterns and automate restocking decisions based on sales trends, seasonality, and customer behavior. Instead of manually tracking inventory, AI will handle it in real time to avoid stock issues.
For example, AI could notice a spike in orders for a specific product right before the holidays. It could then automatically increase stock levels to meet demand or scale back on items that aren’t moving as fast. Real-time tracking means fewer missed sales and less wasted inventory.
Efficient inventory management not only cuts costs but also improves the customer experience. When products are consistently available, customers are more likely to trust and stick with your brand.
Pro Tip: Implement AI-powered inventory management to sync data across all sales channels. This ensures accurate stock levels and seamless fulfillment, whether customers are shopping online or in-store.
AI makes it easier for brands to deliver a personalized and efficient shopping experience. From helping customers find products faster with visual search to automating support with conversational AI, there are plenty of opportunities for personalization.
The brands that adopt and refine these strategies now will be better positioned to meet customer expectations and stay ahead of the competition. Start by implementing conversational AI and later test some other AI trends like personalized suggestions.
Ready to see how AI can upgrade your brand? Book a demo to see AI Agent in action.
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TL;DR:
Chargebacks are more than a thorn in a merchant’s side — they’re a growing financial and operational threat. According to Ethoca, chargebacks are projected to more than double, from $7.2 billion in 2019 to $15.3 billion by 2026 in the U.S. alone. And while fraud plays a role, the primary reason customers file chargebacks is simpler: they feel ignored.
At Chargeflow, we recently published a comprehensive report analyzing why customers dispute chargebacks. The findings were eye-opening. While it’s true that fraud is a real concern, most chargebacks happen for a different reason: a lack of communication between merchants and customers.
Top stats from Chargeflow’s report:
When customers feel ignored or frustrated, they often turn to their bank for a solution instead of reaching out to the merchant first. Understanding these behaviors is key to preventing disputes before they escalate and cause chaos.
So, what actually drives customers to dispute charges? Here’s what the data says.
While chargebacks are often the cost of doing business, the truth is that many disputes are preventable — but only if merchants understand the root causes. We identified five key drivers behind chargebacks.
According to our research, most customers file a dispute right away after encountering an issue, leaving no opportunity to resolve the problem. Another 38% file within one to three days if they don’t receive a timely response.
Why? Customers assume the fastest way to get their money back is by filing a chargeback, especially if they receive no response from the merchant.
We found that 80% of customers never receive a follow-up after filing a chargeback. Additionally, 64% of customers state immediate communication is crucial, yet many businesses fail to reach out.
Why? Customers expect businesses to be proactive. When they don’t hear back quickly, they assume the merchant won’t help, making a chargeback seem like the best option.
98% of customers report a neutral to highly satisfactory experience when filing chargebacks, and only 12% are denied.
Why? Many customers believe chargebacks are faster and easier than dealing with merchants directly, especially if return policies are unclear.
The most common reason for filing a chargeback is “product not received” (35% of the cases). Other common reasons included:
Why? When customers don’t receive clear shipping updates or experience delivery delays, they assume their order won’t arrive and file a chargeback rather than waiting.
Friendly fraud occurs when a cardholder makes a legitimate purchase but later disputes the charge as fraudulent or unauthorized, leading their card issuer to reverse the payment.
Our research found that:
According to our State of Chargebacks report, 79% of chargebacks are actually friendly fraud, meaning they were filed for invalid reasons.
Why? Many customers mistakenly believe that a chargeback is just another way to request a refund, rather than a process intended for fraud or merchant failure.
📌 The takeaway: Most chargebacks aren’t actual fraud, but rather a result of customer confusion, impatience, or poor communication from merchants.
Merchants who want to stop chargebacks before they happen need a two-part strategy:
Chargebacks result from slow response times, poor communication, and unresolved issues, not fraud. Adopting AI-driven customer support and chargeback automation allows businesses to significantly reduce disputes and retain more revenue.
Many chargebacks happen because customers don’t receive a fast enough response. In fact, 52% say they will dispute a charge if the response time is too slow. AI-powered chatbots provide real-time support, resolving issues before they escalate.
Customers expect updates regarding orders and refunds, but often don’t receive them. 80% of customers report never hearing from a merchant after filing a chargeback.
Automated order updates, refund confirmations, and proactive notifications keep customers informed, reducing unnecessary disputes.
Customers expect round-the-clock support, but most businesses can’t provide live assistance. AI-powered ticketing and automation ensure every customer receives help, regardless of the time zone or urgency.
The result? Fewer chargebacks, faster resolutions, and increased customer satisfaction.
It’s impossible to please every customer. On average, chargebacks take 50 days to resolve successfully. Focus your energy on retaining high-value, long-term customers.
Lost inquiries take on average 15 days to resolve, and lost chargebacks take 38 days. Prioritize cases based on impact.
Advanced automated ticketing systems can route inquiries and prioritize urgent cases.
Ensure customer service teams have quick-response templates to speed their resolutions.
“Product not received” was the most cited reason for delivery-related chargebacks. Work closely with carriers and third-party suppliers to improve fulfillment and reduce disputes.
Use automated tools for real-time analytics, enhanced communication, and proactive alerts, which will reduce response times.
Successfully tackling chargebacks requires both proactive customer support and automated dispute management. That’s why Gorgias and Chargeflow work so well together to give merchants a comprehensive defense against disputes.
Post-purchase automation isn’t just about reducing customer support workload or quick replies. It's about finding the most effective ways to increase customer loyalty and prevent disputes.
Learn more about how AI-driven automation enhances post-purchase experiences here.
As you know, chargebacks are costly, frustrating, but most importantly, preventable. Our research shows that most chargebacks don’t stem from fraud, but from poor communication, slow response times, and customer uncertainty.
By prioritizing fast, AI-driven customer support and automated chargeback management, merchants can resolve issues before they escalate, improve customer experience, and protect their revenue.
With Gorgias handling proactive customer support and Chargeflow managing chargeback disputes, merchants get a powerful, end-to-end prevention system that ensures fewer chargebacks, higher dispute win rates, and, at the end of the day, happier customers.
Don’t let chargebacks drain your revenue. Take control today with faster, smarter automation.
Download Chargeflow’s full Psychology of Chargebacks Report to dive deeper into the data and start preventing disputes before they happen.
TL;DR:
Shoppers aren’t just open to AI — they’re starting to expect it.
According to IBM, 3 in 5 consumers want to use AI as they shop. And a McKinsey study found that 71% expect personalized experiences from the brands they buy from. When they don’t get that? Two-thirds say they’re frustrated.
But while most brands associate AI with support automation, its real power lies in something bigger: scaling personalization across the entire customer journey.
We’ll show you how to do that in this article.
Before AI can personalize emails, recommend products, or answer support tickets, it needs one thing: good data.
That’s why one of the best places to start using AI isn’t in sales or support — but in enriching your customer data. With a deeper understanding of who your customers are, what they want, and how they behave, AI becomes a personalization engine across your entire business.
Post-purchase surveys are gold mines for understanding customers — but digging through the data manually? Not so fun.
AI can help by analyzing survey responses at scale, identifying trends, and categorizing open-ended customer feedback into clear, actionable insights. Instead of skimming thousands of answers to spot what customers are saying about your shipping times, AI can surface those insights instantly — along with sentiment and behavior signals you might’ve missed.
Try this prompt when doing this: "Analyze 500 open-ended post-purchase survey responses. Identify the top 5 recurring themes, categorize customer sentiment (positive, neutral, negative), and surface any trends related to product quality, delivery experience, or customer support."
One of AI’s biggest strengths? Spotting intent.
By analyzing things like page views, cart activity, scroll behavior, and previous purchases, AI can identify which shoppers are ready to buy, which ones are likely to churn, and which just need a little nudge to move forward.
This doesn’t just apply to email and retargeting. It also works on live chat, in real time.
Take TUSHY, for example.
To eliminate friction in the buying journey, TUSHY introduced AI Agent for Sales — a virtual assistant designed to guide shoppers toward the right product before they drop off.
Instead of letting potential customers bounce with unanswered questions, the AI Agent steps in to offer:
With a growing product catalog, TUSHY realized first-time buyers were overwhelmed with options — and needed help choosing what would work best for their home and hygiene preferences.
“What amazed us most is that the AI Agent doesn’t just help customers choose the perfect bidet for their booty — it also provides measurement and fit guidance, high-level installation support, and even recommends all the necessary spare parts for skirted toilet installations. It’s ushering in a new era of customer service — one that’s immediate, informative, and confidence-boosting as people rethink their bathroom habits.”
—Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY
AI also helps you see the road ahead.
Instead of looking at retention and loyalty metrics in isolation, AI can help you forecast what’s likely to happen next and where to focus your attention.
By segmenting customers based on behaviors like average order value, order frequency, and churn risk, AI can identify revenue opportunities and weak spots before they impact your bottom line.
All you need is the right prompt. Here’s an example you can run using your own data in any AI tool:
Prompt: “Analyze my customer data to forecast revenue by segment. Break customers into at least three groups based on behavior patterns like average order value, purchase frequency, and churn risk.
For each segment, provide:
Here’s what a result might look like:
Instead of flying blind, you’re making decisions with clarity — and backing them with data that scales.
When used strategically, AI becomes a proactive sales agent that can identify opportunities in real-time: recommending the right product to the right shopper at the right moment.
Here’s how ecommerce brands are using AI to drive revenue across every part of the funnel.
Your prices shouldn’t be static — especially when your competitors, inventory, and customer behavior are anything but.
AI-powered pricing tools like AI Agent for Sales help brands automatically adjust pricing based on shopper behavior. The goal is to make the right offer to the right customer.
For example:
With dynamic pricing, you can protect your margins and boost conversions — without relying on blanket sales.
AI-powered chat is no longer just a glorified FAQ. Today, it can act as a real-time shopping assistant — guiding customers, boosting conversions, and helping your team reclaim time.
That’s exactly what Pepper did with “Penelope,” their AI Agent built on Gorgias.
With a rapidly growing product catalog (22 new SKUs in 2024 alone), Pepper knew shoppers needed help discovering the right products. Customers often had questions about styles, materials, or sizing, and if they didn’t get answers right away, they’d abandon carts and move on.
Instead of hiring more agents to keep up, Pepper deployed Penelope to live chat and email.
Her job?
“With AI Agent, we’re not just putting information in our customer’s hands; we’re putting bras in their hands... We’re turning customer support from a cost center to a revenue generator.”
—Gabrielle McWhirter, CX Operations Lead at Pepper
Let’s look at how Penelope performs on the floor:
A shopper asked about the difference between two wire-free bras. Penelope broke down the styles, support level, and fabric in plain language — then followed up with personalized suggestions based on the shopper’s preferences.
Using Gorgias Convert chat campaigns, Pepper triggers targeted messages to shoppers based on behavior. If someone is browsing white bras? Penelope jumps in and offers assistance, often leading to faster decisions and fewer abandoned carts.
If a customer adds a swimsuit top to their cart, Penelope suggests matching bottoms. No full-screen popups, no awkward sales scripts — just thoughtful, helpful guidance.
Penelope also handles WISMO tickets and return inquiries. If a shopper is dealing with a sizing issue, Penelope walks them through the return process and links to Pepper’s Fit Guide to make sure the next purchase is spot on.
By implementing AI into chat, Pepper saw a 19% conversion rate from AI-assisted chats, an 18% uplift in AOV, and a 92.1% decrease in resolution time.
With Penelope handling repetitive and revenue-driving tasks, Pepper’s team now has more time to offer truly personalized touches — like virtual fit sessions that have turned refunds into exchanges and even upsells.
Bundling is a proven tactic for increasing AOV — but most brands still rely on subjective judgment calls or static reports to decide which products to group.
AI can take this a step further.
Instead of just looking at what’s bought together in the same cart, AI can analyze purchase sequences. For example, what people tend to buy as a follow-up 30 days after their first order. This gives you powerful clues into natural buying behavior and bundling opportunities you might’ve missed.
If you’re looking to explore this at scale, you can use anonymized sales data and feed it into AI tools to surface patterns in:
Try this prompt:
"Analyze this spreadsheet of order data and identify product bundle opportunities. Look for: (1) products frequently purchased together in the same order, (2) items commonly bought as a second purchase within 30 days of the first, and (3) patterns in high-value or high-frequency product pairings. Provide insights on the most promising bundles and why they might work well together."
Just make sure you’re keeping customer data anonymous — and always double-check the insights with your team.
Related: Ecommerce product categorization: How to organize your products
AI isn’t just here to deflect tickets. From quality assurance to proactive outreach, AI can elevate the entire support experience — on both sides of the conversation.
Manual QA is slow, selective, and often feels like it’s chasing the wrong tickets.
That’s where Auto QA comes in. Instead of reviewing just a handful of conversations each week, Auto QA evaluates 100% of private messages, whether they’re handled by a human or an AI agent.
Every message is scored on key metrics like:
It gives support leaders a full picture of how their team is performing, so they can coach with clarity, not just gut feeling.
Here’s what brands can do with automated QA:
Let’s walk through a real example.
Customer: “Hi, my device broke, and I bought it less than a month ago.”
Agent: “Hi Kelly, please send us a photo or a video so we can determine the issue with your device.”
Auto QA flags this interaction with:
Reactive support is table stakes. AI takes it a step further by anticipating issues before they happen — and proactively helping customers.
Let’s say login errors spike after a product update. AI detects the surge and automatically triggers an email to affected customers with a simple fix. No need for them to dig through help docs or wait on chat — support meets them right where they are.
Proactive AI can also be used for:
This saves the time of your agents because the AI will spot problems before they turn into tickets.
Your customers are telling you what they think. AI just helps you hear it more clearly.
By analyzing reviews, support tickets, post-purchase surveys, and social comments, AI can spot sentiment trends that might otherwise fly under the radar.
For example:
Related: 12 ways to upgrade your data and trend analysis with Ticket Fields
Whether you’re enriching customer data, making smarter product recommendations, triggering dynamic pricing, or proactively resolving support issues, AI gives your team the power to scale personalization without sacrificing quality.
With Gorgias, you can bring many of these use cases to life — from AI-powered chat that drives conversions to automated support that still feels human.
And with our app store, you can tap into additional AI tools for data enrichment, direct mail, bundling insights, and more.
Personalized ecommerce doesn’t have to mean more work. With the right AI tools in your corner, it means smarter work — and better results.
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TL;DR:
AI is everywhere in customer service—powering live chats, drafting responses, and handling inquiries faster than ever.
But as AI takes on more of the customer experience, one question keeps coming up: Should brands tell customers when they’re talking to AI?
Legally, the answer depends on where you operate. Ethically? That’s where things get interesting. Some argue that transparency builds trust. Others worry it might undermine confidence in support interactions.
So, what’s the right move?
This guide breaks down the debate and gives CX leaders a framework to decide when (and how) to disclose AI—so you can strike the right balance between innovation and trust.
Depending on where your business operates, disclosure laws may be strict, vague, or nonexistent. Some laws, such as the California Bolstering Online Transparency Act, prohibit misleading consumers about the use of automated artificial identities.
For maximum legal protection, it’s best to proactively disclose AI use—even when not explicitly required.
A simple disclaimer can go a long way in avoiding legal headaches down the line. Here’s how to disclose AI use in customer interactions:
Truthfully, AI laws are evolving fast. That’s why we recommend consulting legal counsel to ensure your disclosure practices align with the latest requirements in your region.
But beyond avoiding legal trouble, transparency around AI usage can reinforce customer trust. If customers feel deceived, they may question the reliability of your brand, even if the AI delivers great service.
Related reading: How AI Agent works & gathers data
Research shows that 85% of consumers want companies to share AI assurance practices before bringing AI-driven products and experiences to market.
But what does “transparency” actually mean in this context? An article in Forbes broke it down, explaining that customers expect three key things:
How you disclose AI matters just as much as whether you disclose it. At the end of the day, AI isn’t inherently good or bad—it’s all about how it’s implemented and trained.
The way a brand approaches AI disclosure can impact trust, satisfaction, and even conversion rates—making it a decision that goes beyond simple legal requirements.
While some customers appreciate honesty, others may hesitate if they prefer human support. Brands must weigh the pros and cons to determine the best approach for their audience.
Let’s be honest: AI in customer service still carries baggage. While some consumers embrace AI-driven support, others hear "AI" and immediately picture frustrating, robotic chatbots that can’t understand their questions.
This is one of the biggest risks of transparency: customers who’ve had bad AI experiences in the past may assume the worst and disengage the moment they realize they’re not speaking to a human.
For brands that thrive on personal connection and high-touch service, openly stating that AI is involved could create skepticism or drop-off rates before customers even give it a chance.
Another challenge? The perception gap.
Even if AI is handling inquiries smoothly, some customers may assume it lacks the empathy, nuance, or problem-solving skills of a live agent. Certain industries may find that transparency about AI use leads to more escalations, not fewer, simply because customers expect a human touch.
Despite the risks, transparency about AI can actually be a trust-building strategy when handled correctly.
Customers who value openness and ethical business practices tend to appreciate brands that don’t try to disguise AI as a human.
Being upfront also manages expectations. If a customer knows they’re speaking to AI, they’re less likely to feel misled or frustrated if they encounter a limitation. Instead of feeling like they were "tricked" into thinking they were talking to a human, they enter the conversation with the right mindset—often leading to higher satisfaction rates.
And then there’s the long-term brand impact.
If customers eventually realize (through phrasing, tone, or inconsistencies) that they weren’t speaking with a human when they thought they were, it can erode trust.
Deception—whether intentional or not—can backfire. Proactively disclosing AI use prevents backlash and reinforces credibility, especially as AI becomes a bigger part of the customer experience.
Arcade Belts, known for its high-quality belts, wanted to improve efficiency without compromising customer experience. By implementing Gorgias Automate, they reduced their reliance on manual support, creating self-service flows to handle common inquiries.
Initially, automation helped manage routine questions, such as product recommendations and shipping policies. But when they integrated AI Agent, they cut their ticket volume in half.
The transition was so seamless that customers often couldn’t tell they were interacting with AI. “Getting tickets down to just a handful a day has been awesome,” shares Grant, Ecommerce Coordinator at Arcade Belts. ”A lot of times, I'll receive the response, ‘Wow, I didn't know that was AI.”
You can read more about how they’re using AI Agent here.
We mentioned it earlier, but deciding whether or not to disclose your use of AI in customer support depends on compliance, customer expectations, and business goals. That said, this four-part framework helps CX leaders evaluate the right approach for their brand:
Before making any decisions, ensure your brand is compliant with AI transparency regulations.
AI transparency should align with your brand’s values and customer experience strategy.
Rather than making assumptions, run controlled tests to see how AI disclosure affects customer satisfaction.
AI strategies shouldn’t be static. As customer preferences and AI capabilities evolve, brands should refine their approach accordingly.
If you decide to be transparent about AI in customer interactions, how you communicate it is just as important as the disclosure itself. Let’s talk about how to get it right and make AI work with your customer experience, not against it.
AI doesn’t have to sound like a corporate FAQ page. Giving it a personality that aligns with your brand makes interactions feel natural and engaging. Whether it’s playful, professional, or ultra-efficient, the way AI speaks should feel like a natural extension of your team, not an out-of-place add-on.
Instead of:
"I am an automated assistant. How may I assist you?"
Try something on-brand:
"Hey there! I’m your AI assistant, here to help—ask me anything!"
A small tweak in tone can make AI feel more human while still keeping transparency front and center.
Read more: AI tone of voice: Tips for on-brand customer communication
One of the biggest mistakes brands make? Leaving customers guessing whether they’re speaking to AI or a human. That uncertainty leads to frustration and distrust.
Instead, be clear about what AI can and can’t do. If it’s handling routine questions, product recommendations, or order tracking, say so. If complex issues will be escalated to a human agent, let customers know upfront.
Framing matters. Instead of making AI sound like a replacement, position it as a helpful extension of your support team—one that speeds up resolutions, but hands off conversations when needed.
Even the best AI has limits—and customers know it. Nothing is more frustrating than a bot endlessly looping through scripted responses when a customer just needs a real person to step in.
AI should be the first line of defense, but human agents should always be an option, especially for high-stakes or emotionally charged interactions.
A smooth handoff can sound like:
"Looks like this one needs a human touch! Connecting you with a support expert now."
AI disclosure doesn’t have to feel like an apology. Instead of focusing on limitations, highlight the benefits AI brings to the experience:
It’s the difference between:
"This is an AI agent. A human will follow up later."
vs.
"I’m your AI assistant! I can answer most questions instantly—but if you need extra help, I’ll connect you with a team member ASAP."
The right framing makes AI feel like an advantage, not a compromise.
AI perception isn’t static. Regularly analyzing sentiment data and customer feedback can help refine AI messaging over time—whether that means adjusting tone, improving explanations, or updating how AI is introduced.
When you follow these best practices, AI can be a real gamechanger for your customer support. Just take it from Jonas Paul…
Jonas Paul Eyewear, a direct-to-consumer brand specializing in kids' eyewear, needed a way to manage high volumes of tickets during the back-to-school season without overwhelming their customer care team.
To streamline these conversations, Jonas Paul implemented AI Agent to provide instant responses to FAQs. This allowed human agents to focus on more complex cases that required personalized attention.
“Being able to automate responses for things like prescription details and return policies has allowed us to focus more on the nuanced questions that require more time and care. It’s been a game changer for our team,” said Lynsay Schrader, Lab and Customer Service Senior Manager and Jonas Paul.
Jonas Paul saw a 96% decrease in First Response Time and a 2x ROI on Gorgias’s AI Agent with influenced revenue. You can dive in more here.
Whether or not your brand chooses to disclose AI in customer interactions, the key is to ensure AI enhances the customer experience without compromising transparency, accuracy, or brand identity.
So how can you get started? Gorgias AI Agent was built with both effectiveness and transparency in mind.
For every interaction, AI Agent provides an internal note detailing:
Excited to see how AI Agent can transform your brand? Book a demo.
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Ecommerce businesses pour time and money into attracting prospects and turning them into new customers. But as acquisition costs skyrocket due to increased competition and rising ad prices, attracting new customers isn’t enough — especially if you can’t keep them around.
Today, ecommerce brands must prioritize customer satisfaction and retaining existing customers. If you can’t retain customers, you’ll never get out from under high marketing costs and grow your brand in a sustainable way. Plus, if you can’t offer a customer experience that generates brand loyalty, poor word of mouth will chip away at your brand’s reputation and make it hard to get new customers at all.
Fortunately, more tools and resources than ever exist to help you develop a good customer retention strategy by improving the on-site experience, customer support, and all the other elements of a great customer experience.
Below, we'll cover the importance of customer retention, how to calculate your customer retention rate, and share ways to improve your customer retention rate and reduce customer churn.
Customer retention rate is the percentage of existing customers that continue buying from your brand over a given period of time.
If your organization sees many repeat customers and — if applicable — keeps customers subscribed, you’ll end up with a good customer retention rate. However, if your company seldom does business with a customer after the initial order, you have an opportunity to improve your retention rate.
Customer retention rate is the inverse of ecommerce churn rate. Check out our guide on churn if you want to learn more about that side of the coin.
Retention rate is most applicable to businesses that sell subscription-based products or services, like software-as-a-service (SaaS) companies or ecommerce brands that sell subscription boxes.
For these companies, measuring and understanding retention rate is straightforward. As long as a customer has an active subscription, they’re retained. The total number of customers who remain active subscribers each month (compared to the previous month’s number) is the brand’s retention rate.
For customers that don’t sell subscription-based products, retention rate is a bit of a square peg in a round hole. Retention rate becomes more of a proxy to understand customer loyalty and the rate of returning customers, which are a little less concrete. It’s difficult to anticipate a customer’s future purchases because they don’t have a clear subscription status.
Is a customer retained if they buy a product every week? Month? Quarter? What if they don’t buy from your store for half the year, then re-engage for Black Friday — were they retained, or won back? These questions are why retention rate isn’t a perfect metric for the typical ecommerce business.
For these types of companies, we recommend tracking repeat customer rate as well as other leading indicators for repeat shopping, like customer satisfaction (CSAT) and net promoter score (NPS) rather than customer retention metrics.
Your customer retention rate is a valuable measure that gives you important insight into your ability to sustain customer relationships (and turn them into repeat business). It's easier and cheaper to keep a customer than it is to go out and find new customers. According to Hubspot, a mere 5% increase in customer retention can increase the company's revenue by a whopping 25%-95%.
According to Gorgias data, repeat customers make up only 21% of the average brand’s customer base but generate 44% of that brand’s revenue because they shop more often and place higher-value orders.
If your strategy over-relies on winning new customers, you’re missing out. Due to high customer acquisition cost and low returns from first-time shoppers, you’ll overspend on low-return customer relationships, taking your ROI. Of course, acquiring customers is important — but their value is only truly realized if you can keep them around.
There's a simple formula for calculating your customer retention rate. It contains three elements:
Customer retention rate = [(Number of customers at the end of time period - Number of customers acquired during time period) / Number of customers at the beginning of time period] x 100
Company A had 100 customers at the beginning of the year and 80 customers at the end of the year. During the year, they acquired 45 new customers. The customer retention rate calculation for Company A would be as follows:
Customer retention rate = [(80 - 45) / 100] x 100
Customer retention rate = 35%
The widely accepted customer retention rate for the ecommerce industry is 31%, according to Omniconvert. Depending on how well they handle their customer base and their effort in building customer loyalty, some companies may enjoy a considerably higher customer retention rate. Those who only gear their resources toward finding and selling first-time customers may have a lower retention rate.
Of course, the most important thing is consistent improvement, regardless of your brand’s current customer retention metrics. Customer retention is an ongoing process, and there's always room to improve — which will benefit your customer service ROI and your bottom line.
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Ecommerce brands should keep a razor-sharp eye on their ecommerce retention rate and churn rate, just like they need to look at customer lifetime value (CLV) and average order value. These benchmarks are metrics that help measure a business's health and identify opportunities to benefit the bottom line. You can put actions in place that help you keep current customers with you instead of your competition.
Let's dive into six tried-and-true customer retention strategies you can use to increase your ecommerce brand's customer retention rate.
We can't say enough about the importance of a positive and pleasant user experience. According to a 2019 research study by Oracle and Jeanne Bliss, 43% of customers will stop doing business with a brand over a single bad experience. In addition, 59% of them will tell their friends and family about the negative experience.
Evaluate your customer service program with metrics like resolution time, net promoter score, and customer satisfaction, and work on improving essential elements of customer experience like:
For more tips on the essential elements of a great customer service experience, check out our post on customer service best practices.
One of the most important moments of the customer life cycle is immediately after their first purchase. Think of the post-purchase email campaign as your onboarding flow for repeat customers. You need to set customer expectations with clear, proactive communication or else they’ll be less likely to return to your store.
Here are some examples of the consequences of poor post-purchase experiences:
Pay special attention to the communication a customer receives after their first purchase. A lack of communication is fatal, and the right combination of confirmations and email marketing can quickly get customers interested in buying additional products. If you nail it, you give the customer a clear, easy path to long-term customer loyalty.
A great example of clear, post-purchase emails is Princess Polly, an apparel brand. They give customers simple but visually informative confirmation emails that communicate the status of the customer’s order at a glance:
Loyal customers come back to your brand over and over, making them a profitable addition to your business. According to a 2020 survey by Yotpo, 68% of customers will join a loyalty program if one is available. Cultivate your customers into raving fans and increase their purchase frequency by employing a customer rewards marketing strategy.
To create a successful rewards program, consider looking into tools like LoyaltyLion. They help you determine the rewards that repeat customers will get for important customer engagement behaviors like mentioning you on social media (which is great for word-of-mouth exposure), purchasing a new product, or generating referrals. Consider offering freebies, deep discounts, and early access to new product launches.
Parade, an apparel ecommerce brand, offers its loyal customers (called Parade Friends) free, early-access items. This supports customer engagement and brand loyalty, and usually leads to a wave of user-generated content (UGC) on social media that promote the brand:
If you use Gorgias, you can also integrate with LoyaltyLion to see customer rewards within the helpdesk so you can see which customers are superfans, prioritize their tickets, and offer personalized service.
Learn more about the Gorgias and LoyaltyLion integration.
Everyone likes to feel special. Score some big points with your current customer base by offering them exclusive incentives. This could include letting loyalty program members order new products before the general public, offering them member-only discounts, offering free shipping, and sending a free gift with their purchase. These extra touches will increase your customer's satisfaction and keep them loyal to your brand.
Amazon is a great example of a company that uses deals and discounts to get people to shop on their site. When you sign up for Amazon Prime, you get free shipping, an enormous library of original movies and TV titles, and so many other perks to incentivize you to keep shopping at Amazon.
Of course, this strategy isn’t feasible for small stores running on Shopify, BigCommerce, and other ecommerce platforms. But, if it makes sense for your products, consider replicating the strategy with a Subscribe and Save option. By signing up for automatic repeat purchases, customers get a discount. This is great for customers because they save on the purchase and don’t have to remember to restock. It’s also great for your company: You retain more existing customers, driving revenue.
Here’s an example of how OLIPOP, a beverage brand, advertises their subscribe and save option on product pages:
Don't assume you know what your customers want — ask them! Retaining customers takes continuous communication, as their interests and preferences can change over time. It's necessary to periodically survey them to ensure you're hitting the mark with your retention efforts. Gather and review customer feedback, looking for trends to use to elevate your buyer's experience.
These surveys don't have to be long or time-consuming. A question or two during checkout or a marketing email asking for two minutes of their time is enough to give you valuable intel.
Learn more about gathering customer feedback with CSAT surveys or NPS surveys.
Consistently improve and optimize your store to keep it functioning quickly and efficiently. Segment your customers for more personalized, impactful messaging. For ecommerce brands, the best tool around is Klaviyo. Klaviyo helps you segment your customer base and send highly targeted SMS and email marketing campaigns.
Plus, if you use Gorgias, you can integrate with Klaviyo to bring you SMS marketing and support into one tool:
On top of segmentation, continue making your website as seamless and low-effort as possible. Check your load times for your web pages, measure the success of your calls to action (CTAs), and cut down on the number of required clicks where you can. Remember, the best way to delight customers (and keep them coming back) is a low-effort experience.
Upselling and cross-selling are the most effective strategies to maximize the lifetime values of repeat customers by driving higher order values. While you never want to be too pushy, you can employ retention marketing strategies to suggest new, exciting products to existing customers to bring them back to your store and spend more.
Check out our guide to ecommerce upselling strategies for:
Alternatively, learn how Ohh Deer, a stationery brand, partnered with Gorgias to revamp their customer support and upselling strategy and lift quarterly revenue by $12,500.
By focusing on providing a wonderful customer experience at every touch, creating customer loyalty, and cross-selling at the right moments, you can increase your ecommerce company's retention rate and enjoy more profit from your existing customer base.
Ready to improve your customer service? Gorgias, the helpdesk built exclusively for ecommerce, helps ecommerce businesses enhance, automate, and increase the speed of their customer support, improving customer experience and, by extension, customer retention. Brands that switch to Gorgias see an average of 5% higher gross merchandise volume (GMV).
We also help you monitor performance with features like our support performance dashboard and live statistics about agent performance.
Book a demo today to learn how you can increase your customer retention rate with exemplary customer service.
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Every customer service interaction is a representation of your brand, and the words you use when communicating with customers matter. The right customer service phrases could make the difference between:
Whether your goal is to update your customer service templates, improve customer service training, or just raise CSAT, have your customer support team members use these 15 phrases made up of customer service power words (and avoid the 5 harmful ones) to cultivate better conversations.
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The following customer service lines can be used on phone calls, emails, live chats, or any other channel.
If you use a helpdesk, you can incorporate them into your library of templates (or Macros, if you use Gorgias). to scale the quality of your support and make sure all agents are using the best language possible:
Customer service representatives can make a good first impression with customers by using positive language right out of the gate. Here are some common customer service phrases for greeting shoppers:
Asking someone how they’re doing adds a personal touch that makes customers feel valued. It's a great ice-breaker and provides a more natural transition into addressing the customer's problem.
Similarly, if your customer service team starts out a chat by saying that it’s nice to meet the customer, it adds a more personal feel to the entire conversation.
Positive words are a key part of great customer service, and this phrase lets customers know that your service reps are excited and ready to resolve an issue or answer a question.
When to use customer greetings
Use a cheerful greeting to set a positive, warm mood for the forthcoming conversation. For example: “It’s so nice to meet you! Thanks for reaching out today.” Or, “How has your day been so far?” Or, “I’m more than happy to help in any way I can!”
Follow up with a greeting at the end of a conversation, once you’ve answered a shopper’s questions or resolved their issue. For example: “It’s been so nice to chat with you! Thank you for reaching out to us.” Or, “I’m happy to help. Reach out again any time.”
Once a customer explains their problem, validate their concerns and transition into offering solutions. A few great customer phrases to help your support team make this transition include:
Complimenting a customer for asking a great question (even if it's a question your team members hear a thousand times a day) makes customers feel validated. It also ensures that you’ll get to the bottom of the customer's request and figure out the right answer.
On social media, when answering product questions to help shoppers make a purchase decision.
“That’s an excellent question! Let me see if we can make that ring in a brushed finish for you.”
When providing a status update on an order.
“Great question—I’m seeing the same thing on my end: Your order has been stuck in the same location for a few days. Let me check in with our shipping team to see why.”
If a customer asks about a price match or adjustment.
“Good question! Let me find out if we do offer price matching.” Or, “Great question, we can adjust the cost of your order if an item goes on sale within two weeks of its purchase date.”
📚Recommended reading: Tips and Templates for Customer Service Messaging on SMS + Conversational Channels
This phrase lets customers know that you’re committed to offering good customer service and are willing to listen to customer feedback. It's a phrase that reassures shoppers that the customer service agent takes their issue seriously.
When a shopper points out an issue with the checkout or shopping process.
“Thanks for letting us know that the discount code we provided didn’t work for you! This affects all of our customers and we’re grateful you caught it before we did. It should be fixed now!”
If a customer receives a defective or damaged item.
“Thank you so much for bringing this to our attention. This item does not represent the quality that we strive for with our products, and we’d like to send you a replacement ASAP.”
When a customer’s order hasn’t shipped after the allotted processing time.
“Thank you for bringing this to my attention! We’re experiencing an unprecedented amount of orders due to our feature in a recent magazine.”
📚 Recommended reading: 20 Ecommerce Customer Service Best Practices to Help You Level Up
Dealing with upset customers is a challenging aspect of customer service, and the way your reps diffuse the situation is critical to success.
Miscommunication or misunderstandings are common reasons why customers get upset. This phrase provides customer support agents with the opportunity to fully understand what happened and why the customer is angry.
After a customer tells you what they’re upset about.
“To clarify, the order arrived a week after we had quoted you and you no longer need the item. Is that correct?”
To confirm that you’re offering the resolution that they’re looking for.
“Let me clarify to make sure that we’ve resolved this for you. Is there anything else that I can help you with, besides sending you a replacement for the item that arrived damaged?”
To clarify what’s wrong with the item they received.
“Are you able to send in a photo of the item you received? It sounds like we sent you the navy sneakers, rather than the black sneakers, by accident!”
"Frustrating," "difficult," and "disappointing" are all words that you can use to fill in the blank in this phrase, and they all accomplish the same purpose. The best customer service is empathetic and seeks to solve customer complaints quickly and with compassion.
When a frustrated customer finishes explaining their problem.
“I understand why you’re upset, and I would be too! Let’s figure out a solution that makes you happy and that fully resolves this issue.”
If a package they were waiting on gets lost in the mail.
“I understand how frustrating this must be, especially since it sounds like we really missed the mark on getting the item to you in time for your son’s birthday.”
If the color of an item looks different in person than it did online.
“I can understand why you’re frustrated—what shows up as light blue online looks to be more of a dove gray in person.”
Even if your company is not entirely at fault for a customer's issue, it's still essential to validate their concerns and apologize for the inconvenience. When it comes time to apologize for a problem that a customer is experiencing, here are a few great phrases to try.
Inquiring about order status is a very common reason why customers contact customer support, so it's an issue that your support team needs to be ready to address. Apologizing for the delay and offering to check the order's location and status is the most effective way to resolve this common issue.
When an order is delayed.
“I'm sorry to hear that you haven't gotten your order yet. Let me check on the status for you. With the storm on the east coast, we’ve been having some shipping issues with items coming from our New Jersey warehouse.”
If an order is lost or hasn’t moved in a week.
“I'm sorry to hear that you haven't gotten your order yet. Let me reach out to our warehouse team, as they’re on the ground and can give us the best idea of when your order will get to you.”
For pre-ordered items that haven’t shipped by the expected release date.
“I'm sorry to hear that you haven't gotten your order yet! Let me check on the status of that item for you. Last I heard, the pre-ordered items were running behind on their shipping dates.”
💡Tip: Use a customer service platform that automatically displays the shipping status of each order next to the customer ticket, so your agents don’t have to waste time chasing (and copy/pasting) information from other apps. Here’s what a ticket in Gorgias looks like, with information from Shopify displayed next to the customer message:
“I apologize for the inconvenience you are experiencing. I'll look into it right now and get back to you with more details.”
This is a versatile phrase that your support team can use to address a wide range of customer issues, from wrong or incomplete orders to credit card issues and beyond.
If you can’t solve something right away, letting customers know that they can expect a follow up can help build a more positive customer experience, rather than just leaving them hanging.
To validate a customer’s feelings about a frustrating order issue.
“I apologize for the inconvenience you’re experiencing! This is not how we want our customers to feel when shopping with us. Let me look into what happened so that I can make this right for you.”
To look into alternative solutions for a missing order that’s now sold out.
“I apologize for the inconvenience, especially since you were so excited about this item and now it’s sold out. Let me check in with my team to figure out when the item will come back in stock, or if we will be stocking something similar in the meantime.”
When you can’t figure out where an order is right away.
“I apologize for the inconvenience here! I’ll look into this with our shipping and processing team and get back to you with more details. Is the email we have on file for you the best way to get back in contact?”
📚 Recommended Reading: 30+ email templates to improve your customer support responses.
A HubSpot survey finds that waiting on hold is the most frustrating part of the customer service experience for 33% of respondents. Of course, sometimes there is no other option but for a call center support agent to place a customer on hold. To soften the blow and help prevent frustrated customers, here are two phrases to use when you need to place a customer on hold.
If you have to forward a customer to another agent, this is a great phrase to use since it lets the customer know that you are passing them off to an expert who can better address their needs.
When their question requires information you don’t have access to.
“I’ll forward this to our warehouse team, who will be able to let me know if your order has reached the warehouse yet. That will give us a better idea of when it will reach you. Just a moment.”
If there’s a different department that is better equipped to answer the question.
“Let me connect you with our product specialists, who can better answer your questions about the installation of our roof racks onto your car.”
If your support agents specialize in different business areas.
“I’ll forward this to our damaged orders specialist, who will look into what happened and get this sorted out for you. Just a moment.”
💡Tip: Read our guide on automatically prioritizing and routing tickets in Gorgias to minimize handoffs by putting customers in touch with the right person from the jump. For example, here’s a Gorgias Rule that automatically tags VIP customers (who have spent more than $100) so a dedicated high-touch agent can jump on the request:
Asking for a customer's permission before you put them on hold is a polite way of validating the inconvenience and giving the customer a sense of control over the interaction. Highlighting the word “brief” assures customers that they won't have to wait on hold for long.
When you need a moment to look deeper into a customer account.
“Let me look into this for you! Is it alright if I put you on a brief hold while I take a look?”
If you need to check in with a lead or manager for approval.
“Let me look into this for you. Is it okay if I put you on a brief hold so that I can check in with my team?”
To get guidance or more information from a different team.
“Let me check in with my team about that. Is it alright if I put you on a quick hold? It should only take a minute.”
💡Tip: Use a helpdesk that displays customer information from your ecommerce platform (like Shopify, BigCommerce, or Magento) and other tools (like Klaviyo, AfterShip, and Yotpo) to get all the customer information upfront. This will help you avoid asking customers for skippable follow-up information or pausing the conversation to check another tool.
Thanking customers for their feedback and continued business is an important part of customer service interactions. If you would like to let your customers know that you are truly grateful for their call, here are a few excellent phrases to try.
Thanking customers for their feedback assures them that your company is open to constructive criticism. Customer feedback of any variety is a gift to your company, and it's important that customers don't feel guilty about raising issues. You can also use words like insight, comments, and suggestions — all of which can sometimes sound a little less robotic.
Use this phrase anytime a customer offers any kind of comments about your company, its product, or its services. Remember, all feedback is good feedback, whether it’s positive or negative, so be sure to have a system in place for tracking it and acting upon it when possible.
Every customer needs to know that they’re valued, and this versatile phrase can be used at just about any point in a customer service interaction to show customers that you appreciate them.
As part of wishing a customer well at the end of a conversation.
“Thank you for being our customer! We so appreciate you.”
For various reasons, many customers hesitate to contact customer support when a problem occurs. But having a customer contact your support team is always better than having them leave your company for another without giving you a chance to make it right.
To conclude a conversation after solving an issue or answering a question.
"Thanks for reaching out to us! If you have any other problems or have any questions, don’t hesitate to write in again.”
Offering proactive customer service can take your support to the next level by giving customers the tools to answer their own questions before they need to reach out to you.
Providing self-service resources can supplement product guides or tutorials, give deeper information about returns and shipping policies, and offers information for shoppers to answer their own questions and avoid the hassle of reaching out to your team.
You can share these resources at the end of a conversation, or as an automated pop up when someone visits your website.
As a supplement to great support, to look up any details about their product.
“This handy FAQ article should answer any further questions you might have about how to use your new product, especially if we’re not online to help right away!”
To share more info about returns, orders, shipping, etc.
“If you have any other questions about our returns process and you’d rather not have to chat with us (we get it, it takes time!), you can always check out our Help Center.”
💡Tip: Here’s an example of a Gorgias Help Center, where customers can read help articles about the product, shipping and return policies, and more. With Gorgias Automate, you can also empower customers to track, cancel, and modify orders without waiting on an agent:
To share support even when agents aren’t online.
“We’re not online right now, but we’d love to help! We’ll send you an email answering your question. In the meantime, check out our handy Help Center to see if you can find an answer to your question there.”
💡Tip: You can set up a Rule in Gorgias that automatically lets the customer know you’re offline, plus an estimate on when you’ll be back. Here’s what this kind of Rule looks like:
This phrase is a great way to make sure that a customer's concerns have been fully addressed before ending a conversation with them. However, it's important to use this phrase carefully. If a customer doesn't feel that their initial problem has been resolved yet, asking if you can help them with anything else is likely to only make them more frustrated.
At the end of a conversation to make sure you answered all of their questions.
“Do you have any other questions, or can I help with anything else before we end our chat?”
As a way to upsell happy customers.
“Can I help you find anything else for your holiday celebration?”
In many ways, knowing what not to say is just as important as knowing what to say. Avoid these five phrases to lessen the possibility of frustrating customers further and painting your brand in a negative light.
You never want to tell a customer that you don't understand their problem. In situations where an agent is having trouble following a customer's concerns, asking for clarification is always better.
Telling an upset customer to calm down is likely to have the exact opposite effect. While it's sometimes necessary to calm a customer down before an interaction can continue, there are better ways to go about it.
While there are certainly cases where it isn't possible to fulfill a customer's request, it's important to approach these instances carefully. You don't want to make customers feel that you are unwilling to help, which is what telling them that something is impossible often conveys.
Your demeanor should come across as prepared and confident, and language like“I guess,” “I suppose,” and “I'm not sure” doesn’t show customers that they’re in good hands.
“I can't help you.”
Similar to “that's impossible,” telling a customer that you can't help them can make shoppers feel like you’re unwilling to help rather than unable.
Knowing why customers contact you (and how they're feeling) is essential to understand how to communicate back to them. And thanks to the power of Gorgias AI, getting inside your customers’ minds to understand exactly what they want to hear is now easier than ever before.
With Gorgias' revolutionary sentiment detection, your support agents get invaluable insights into a customer's sentiments and intentions that they can use to guide the interaction.
Learn more about how sentiment detection can help you improve your customer support, generate more happy customers, and boost revenue.
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Some hold up the net promoter score (NPS) as the holy grail of KPIs. While we won’t go so far as to declare it the most important metric of all, we will say that it is one of a few that is absolutely crucial to your brand and customer success.
That’s because you can learn a lot about customers when you dig into NPS feedback. What keeps customers happy, what upsets them, how you can boost retention, how to slow down churn — you name it, NPS can become a valuable feedback loop that reveals insights into all of these things and more.
That’s why we’ve created this guide. Read below to learn how to improve response rates to create a better, more accurate net promoter score.
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If you’re unfamiliar with net promoter scores, we have a detailed explainer on how to calculate NPS that will tell you everything you need to know. But for now, let’s have a quick refresher.
It all starts with asking your customers a simple question: On a scale of 0-10, how likely are they to recommend your offerings to a friend?
From there, collect these numbers:
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Calculating your NPS is easy. Determine the percentage of promoters and detractors from the total number of responses. Then, subtract the detractor percentage from the promoter percentage for your score. So if you have 70% promoters minus 10% detractors, your NPS is 60.
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Before making business decisions based on your NPS, you need the best possible dataset to work with. That means improving response rates to NPS survey questions creates a larger sample size — and below, we’ll show you the best ways to do that.
There are three great cadences to send out your NPS surveys:
These should trigger at certain moments of the customer’s lifecycle. They’re a great way to get customer feedback at key points of the customer journey.
This way, you can easily triangulate high-impact changes — for example, if NPS goes way up after customers receive an email with set-up instructions, consider making that information available earlier.
Other examples include:
A transactional NPS survey gets triggered by set customer interactions. Much like the lifecycle surveys above, this helps you collect customer feedback and take a temperature check where it matters most. In this case, after key customer touchpoints:
Pulse checks are a bit different in that they survey your whole customer base all at once. You can use NPS surveys to gauge customer sentiment following a company rebrand, after a push to get new customer referrals, and so on.
Especially while conducting lots of customer research to ensure product-market fit, conduct pulse-check surveys with some level of regularity to maintain a healthy feedback look. Many companies do pulse checks twice yearly just to get a sense of customer sentiment across the entire customer base.
Where NPS surveys are concerned, less is more. The longer your survey, the lower the chances are that people will hang around to finish it. Sticking to one question can improve your response rate — and you want a great response rate because larger sample sizes will create a more accurate NPS.
So, what's a good survey response rate? There is no one clear answer because response rates can differ between channels (email surveys versus telephone or in-app surveys, for example) or based on how engaged your customers are with your brand.
However, good response rates can generally vary between 5% and 30%. If your response rate shoots up to 50% or more, you’re doing extremely well — and your customers are highly engaged.
While you want to keep your surveys brief, nothing says you can’t follow up with particular customers individually. In fact, you absolutely should follow up with customers who offer particularly interesting responses in your survey’s feedback section. Send out a more in-depth survey or schedule a 1:1 interview to discover the reasons behind their responses.
Here’s a great example of a one-question survey sent with NPS survey tool Delighted, plus a follow-up question made possible by Delighted’s integration with Gorgias:
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There are a couple of limited cases when you can send out multi-question surveys:
Use these longer surveys judiciously to collect highly targeted information — and strive to keep them as brief as possible.
A/B testing is a common marketing technique that has users compare multiple pieces of content to determine which pieces perform best. You can — and absolutely should — use A/B tests for your surveys, too. Doing so will help you optimize surveys to get the best response rate.
When you’re designing an A/B test, consider testing for the following:
Those tests will get you started, but feel free to add more as you spot areas to potentially improve.
The first step to creating an attractive survey is to add visuals. Don’t rely on people typing in answers to questions. Use graphical buttons instead. Be sure to use your company’s logo in the design, and introduce your brand’s colors through borders and other elements.
Make it brand-friendly, too — whatever that means for your brand. If your brand gives off a sleek, posh vibe, then your net promoter score survey should do the same.
Rather than building these emails from scratch, consider using an NPS survey software with convenient templates. There are many great options, but we recommend Delighted — especially given its integration with Gorgias:
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Delighted does a great job of letting you brand the survey (using your logo and colors) without over-crowding the email and distracting the survey-taker from the main purpose of the email: Choosing an NPS score.
Free swag is an excellent motivator, and so are discounts. Offer a little something extra in exchange for NPS survey responses, and you’ll likely see your response rate shoot up dramatically.
What can you offer? The sky's the limit. Create swag bags to send out to respondents or offer a limited-time promotional item. You can also offer digital gift cards or discounts, too.
The only issue with offering rewards is that it may not be sustainable. One great way to work around this is to set up a drawing or raffle, so that survey respondents have a chance at winning something awesome. It’ll be more affordable for your brand — and an attractive enough offer that more customers will leave feedback in exchange for a chance at the prize.
NPS survey best practices include always making sure there is a comment box below the numerical survey question. Some customers won’t leave a comment, but some will. Use these comments to understand why your happy customers are so delighted with your offerings and why unhappy customers are less than thrilled with the experience you’ve offered.
If you use an NPS tool like Delighted, you can opt in to include an optional “Tell us more” box:
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Your NPS score is a valuable tool, but it will only get you so far. It’s essentially a measurement of how “loud” your promoters are compared to the detractors. Focusing too much on the relative volume of each group can be misleading.
For example, you may be tempted to invest a lot of time into rescuing your detractors, but think about this: Maybe the problem isn’t that your detractors are unhappy. Maybe they were never the right target market in the first place.
That’s why you need to dig deeper into the data behind your NPS score. You might find interesting patterns, like nearly all of your detractors live abroad or a huge percentage of your promoters bought the same product. That suggests perhaps you need an audience from closer to home.
Thank-yous are a fantastic way to build goodwill and customer loyalty. This step doesn’t have to be anything complicated, either. In fact, the CRM tools or survey templates you use to generate surveys should automate the thank-you process — either as a final screen of the survey or a separate email.
Ideally, your survey should pop up with a quick statement of thanks once the survey has been completed. Make sure to personalize the message — but keep it brief to ensure that it’s both seen and appreciated.
This is how a thank you message will appear if sent with Delighted:
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Less ideal — but still acceptable — is to send a follow-up email to say thank you. The problem with this method is that people aren’t always appreciative of inbox clutter — plus, there’s a chance customers may delete the email unread.
Worried that your survey isn’t optimized to its fullest? Or that your customer base is too small to generate meaningful results? Set those fears aside and launch your NPS survey anyway.
The truth is, even small brands can get a lot out of comparatively few NPS responses. A/B testing your survey to optimize it is important — and it’s also something you can do to improve as you work through the process.
Now, if you’re a super small B2B brand with only a handful of customers, or a brand that is just starting, NPS scores may not be all that worthwhile. Instead, you may need to roll up your sleeves and dive in to ask for feedback the old-fashioned way: with phone calls or messages directly to your point of contact.
We’ve talked about the importance of A/B testing — but what about regular beta testing? It’s an easy and crucial step that ensures an easy-to-use survey tool for your customers.
Just have a handful of people at your company so they can click all the buttons and check various features. Request feedback on the design, and be sure to load the survey on mobile and desktop platforms, too.
Testing the technical aspects of your survey is especially important if you have any sort of automatic personalization. If you use a tool like Retently, for example, send a few test emails to different recipients to make sure the personalization is accurate:
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💡Tip: If you use Retnetly, you can integrate with Gorgias to follow up with customers — like winning back unhappy customers or inviting happy customers to a referral or loyalty program.
Up above, we mentioned that sometimes you learn important things about your target market based on your detractors — and that’s why you should always look beyond the NPS score itself. Do a deep dive on your detractors to really analyze what is happening. Examine demographic information and pay close attention to any comments they leave.
For example, do you have a large group of detractors who love your product but are unhappy with customer support or your website experience? This might indicate that your customer service team needs additional training or managerial support, which is a straightforward fix to raise your score. Or what if all of your detractors share certain characteristics, like age, income level, and geographical region? It could mean that this subset isn’t your product’s target market, and you’ll be better off re-targeting your product.
Ready to boost your NPS? Gorgias makes it easy. It’s customer support software specifically designed for ecommerce, built to integrate with the ecommerce tools (like NPS email software) you already use.
On top of NPS, you can facilitate follow-up questions, automate thank-you emails, and get a real-time view of other statistics like customer satisfaction (CSAT), average response times, and resolution times.
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To learn more, sign up here and check out everything Gorgias offers.
When a shopper places an order, the second phase of customer acquisition begins: Turning new customers into repeat customers. Return customers generate 300% more revenue over first time buyers on average, according to data from 10,000 ecommerce brands.
So, what kind of post-purchase behavior leads to long-term loyalty? Ideally, your customers follow up purchases with:
Below, learn more about the psychology of your shoppers once they place an order, and get tactics to improve your brand's post-purchase experience.
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Post-purchase behavior is the set of actions customers take after purchasing an item. Post-purchase behavior can be positive (repeat purchases, raving fans), negative (poor reviews, excessive returns), or neutral (transactional purchases, simply using the product).
Post-purchase behavior matters because making the first sale isn’t the finish line. It’s the beginning of a race to win long-term, loyal customers: people who repeatedly return to your store, have a high customer lifetime value, buy more from you (increasing cart size and transaction value), and send new customers your way.
Gorgias’s data shows that while repeat customers make up 21% of all customers, they bring in 44% of revenue.
Post-purchase dissonance, or what’s also known as “buyer’s remorse,” is when an otherwise positive purchase experience creates cognitive dissonance in the form of discomfort or other negative feelings.
Usually, customers experience post-purchase dissonance when you don’t give enough information about:
This often, understandably, dampens positive post-purchase behavior. On the other hand, a great post-purchase experience and strong customer service and support can drive positive post-purchase behavior, including brand loyalty.
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Happy customers tend to become repeat customers. Focusing on creating a positive post-checkout process can increase customer satisfaction, bolster your repeat customer rate, and build customer loyalty.
Here are 13 ways to anticipate what your customers may think after clicking “Confirm order” and how steer your customer’s post-purchase behavior.
Consider: What metrics are we optimizing for?
The first step in encouraging positive consumer behavior through a thoughtful post-purchase experience is understanding what you want your customers to do. Then, take a look at who they are, what they care about, and how they behave. The key is to fully understand your brand’s customer journey. This will help you craft a better experience for them that’s based on real learnings about your business.
“The first question brands should ask is, what kind of post purchase activities do you want to drive differently,” Bri Christiano, Director of Support at Gorgias, says. “And, who are you really targeting? That's going to dictate what your main metric is, and it’ll determine where you focus.”
After you have a top-level understanding of the kinds of results you want to see overall, you can drill down into the specific activities that will be effective, like timely email sends.
In order to ensure a stress-free purchase process for your online store, send shoppers a confirmation email so they can confirm that their transaction went through.
Include details like their order number, the shipping destination address, payment method, product details (in case of an order mistake), and the total cost including any promotional discounts.
Caption: Gorgias customer Printfresh sends a thorough post-purchase email that includes all important order details.
💡Tip: Bri recommends sending timely emails that “catch customers when they're interacting with your brand. Don't send random emails at times when you’re likely not top of mind. Then, add personalization when you can for goals that they have, if your brand aligns with that.”
Even better if your order confirmation email links to a clear and helpful order management portal where customers can track their order, report issues, and modify the order.
Sometimes a customer realizes that they didn’t make the right decision about an order, or legitimately made a mistake.
Giving customers the opportunity to cancel an order themselves before it ships gives them peace of mind and allows them to correct their mistake in time without having to wait to send in a return. Using a helpdesk like Gorgias, customers can use self-service order management in chat or in the Help Center to cancel a recent order.
If you do require customers to write into support (or if customers bypass your self-service options), set up a ticket prioritization system to surface those urgent tickets before it’s too late. Ensure that your support reps can do a quick information search to find the order and change or cancel it quickly.
Here’s an example of a Gorgias Rule that automatically tags tickets about order cancellation requests from orders within the last two days, so your agents can confirm the cancellation before the order is shipped:
Retail disruptions have reached 59% or higher over the past couple of years. With supply chain issues and shipping delays, giving people as much information as possible about how and when their purchase will reach them helps better meet customer expectations.
Plus, questions about order status make up a large chunk of customer service requests. So, preemptively providing this information can help reduce the number of those repetitive tickets that don’t actually require a human touch.
Offering real time order tracking information (ideally, without making customers jump through hopes) provides transparency, sets expectations, and allows customers to stay up to date with any order delays or changes without having to reach out to customer support.
📚Recommended reading: Check out our post on how to offer real-time order tracking for more strategies.
Every moment, from the moment a shopper makes a purchase to when they unwrap your product for the first time, should build anticipation. Creating a fun and creative unboxing experience will help.
Stationary brand Ohh Deer and its subscription program Papergang sends visually stunning packaging, especially for its monthly boxes. These fun, “keepable” boxes spark joy, can be reused or gifted, and create an overall positive experience that customers can look forward to.
To get started, take a look at brands like Arka or Fantastapack, which provide custom options for enhancing your packaging.
When customers inevitably experience hiccups in the order process, the goal is that their behavior is constructive and positive, rather than angry and combative. To get that kind of post-purchase behavior, you need to offer easy paths to contact customer support and a smooth return or exchange process.
Customers love the peace of mind of knowing that they can return something without hassle, even if they never have the need. Communicating that returns are easy (and free, if you can manage it) upfront can even encourage shoppers to convert.
Still, solely-online retailers can be tricky for consumers. Many are hesitant to make a purchase decision on items that they can’t see in person first. To address that concern, share your returns process and policy in every order confirmation email and in FAQs and the Help Center on your website.
Mattress company Casper created an easy and generous return policy that’s a gold standard for ecommerce: If you don’t like your mattress, tell them within 30 days, and they’ll cover shipping for a free return. With something as bulky as a mattress, free return shipping can eliminate any concerns about not liking such a big investment.
A returns tool like Loop can really help you optimize the product so customers don’t have to jump through hoops to return a product:
Encouraging shoppers to make an exchange keeps them around as a customer and also allows you to keep the revenue from the sale, which will help with your bottom line. According to returns tool Loop, “Turning refunds into exchanges is 10x more impactful than reducing return costs.”
Loop incentivizes returns by offering customers slightly more in-store credit than they would get for a refund:
Shopify stores that use Loop for their returns see a 15% reduction in returns on average. If you use Shopify or Gorgias, it’s easy to integrate Loop as an impactful return/exchange tool.
Devices or tools that arrive with no or unclear instructions, DIY furniture assembly that seems nearly impossible, or even complex software tools with poor onboarding can cause a less than positive experience, even if the end product is great.
Create a simple YouTube video, send clear step-by-step instructions with images, or share a live chat hotline customers can reach out to if they get stuck. These options make it easy for people to get all of the information they need to set up or use the product or service they just purchased successfully.
For example, GEN3 e-bikes come with a paper manual for assembly, but they also send a QR code (using a QR code generator like Beaconstac) that takes shoppers to a short, high-quality how-to video that’s less than 5 minutes long.
Brands usually send a customer satisfaction (CSAT) score after a customer has interacted with customer support. Consider only asking for product reviews from people who score 4 or 5 on CSAT and leave positive feedback about their interaction with support.
If you use a helpdesk like Gorgias, you can likely send these kinds of CSAT surveys automatically after conversations, purchases, and other kinds of transactions:
📚Recommended reading: Our Director of Support’s guide to improving CSAT score and survey response rate
The time when shoppers are still deciding on a purchase is a prime opportunity for your support team to cross-sell or upsell them on additional items.
For example, a customer might have trouble finding an item on your website that they saw on social media. Or, they might ask for recommendations for what to purchase or for items that will go best with the item that they already bought from you.
After a purchase is complete, consider surfacing additional product recommendations for customers via email. Even if these don’t result in an immediate second sale, you keep customers engaged and thinking about how that recommended item would improve their lives or enhance the use of the current item they have.
Providing discounts or other perks in exchange for social media shares and reviews brings more exposure to your brand and enhances the post-purchase experience for your fans.
Underwear brand Parade runs a program like this called Parade Friends. Existing customers apply for the program, and once accepted, post pictures of themselves wearing Parade items on social media. Their followers can then use their Instagram handle as a discount code, incentivixzing future purchases (with a discount for customer delight).
That means that both parties benefit, which makes them happy, and you benefit by bringing in new customers and more revenue.
For many brands, community drives customer perception of the brand — and drives future sales. Brands have leveraged Facebook groups, Reddit forums, Instagram Live, and more to encourage community among their customers and fans.
For example, soap shop Dr. Squatch hosts its community on Discord, a community-based social and chat platform, so its customers can hang out with each other and chat about the brand.
Creating a community can increase customer engagement and satisfaction, generate trustworthy, quality customer feedback about your products, and make more opportunities for cross selling and upselling.
📚Recommended reading: What is Ecommerce Community Management and Why Does it Matter?
Inevitably, your brand won’t always be top of mind for customers, even if they absolutely love it and your products. This is where a thoughtful marketing strategy comes in, and where email automation can be really effective.
Set up automated flows that offer personalized product offerings, discount emails based on customer behavior, target returning customers, and ask for feedback.
📚Recommended reading: 8 Ecommerce Email Automation Series for Online Stores
Turning first-time customers into repeat, loyal, raving-fan customers takes meticulous attention to the customer experience, especially in the post-purchase window. This is where Gorgias shines.
Ultimately, getting the ideal post-purchase behavior starts — and ends — with delivering a great customer experience, especially in the post-purchase evaluation phase. Gorgias delivers a powerful platform for your customer service helpdesk, tailored to the needs of ecommerce businesses who want to deliver an exceptional customer experience.
Gorgias offers powerful features that drive ecommerce success, including:
See how Gorgias can transform your customer service efforts. Sign up now!
Did you know that 80% of companies base annual pay increases on performance? Doing so may seem like a no-brainer, especially since other studies like Lattice’s State of People Strategy show effective pay-for-performance strategies are indicators of individual and company performance.
But despite this evidence, we at Gorgias believe compensation shouldn't only be based on performance. The right combination of performance, behavior, and business needs will lead people to a promotion, but we don't provide individual salary raises (that aren’t tied to promotions) based only on performance.
You might be raising an eyebrow, but don’t click away. Removing performance-based compensation helps us reduce bias and focus on long-term growth.
Here’s our compensation plan in a nutshell:
First, let’s define what we mean by compensation here. In this post, I discuss the total package offered upon hiring and the so-called “merit cycle” which gives financial rewards to “top performers.”
I won’t open the topic of commissions, which is a slightly different pay structure. It’s also an interesting topic — maybe a future post?
Regardless, here are the main reasons we don’t believe in compensation models that reward individual performance.
Startups move fast, and managers do too. Even managers who are aware of bias are still susceptible to them. And evaluations of employee performance are very hard to rid of bias.
Let me ask you this: Would all employees have the same salary today if they had different managers? At most organizations, the answer is no. When one manager decides yearly compensation of their direct reports, those direct reports end up with subjective, bias-ridden compensation. That’s no good.
You're probably well aware of biases, so let's skip the usual suspects like affinity bias (which makes you like more people who are similar to you) and focus on others.
Pressure bias occurs when an employee constantly talks about money and puts pressure on you to give them more. A common response is to compromise, just to end the uncomfortable pressure: "Alright, I'll give them at least a 3% raise so they won't complain forever."
You might be thinking, "I'm experienced and wouldn't do that." That might be true. But a more junior manager might reward employees who apply this kind of pressure, and that's a problem.
Visibility bias is the phenomenon of noticing (and rewarding) an employee just because of visibility. Perhaps they had a very visible project, or are vocal in meetings and on Slack. Or, perhaps they work in the same office as their manager and get more one-on-one time than remote teammates.
Just because you — or even the CEO — see more of one person or their projects doesn’t mean that person had the strongest impact. And it definitely doesn’t mean they deserve more compensation than teammates with less visibility.
Ah, my favorite topic. Let me illustrate with an example.
Imagine you have three employees. The first one has been here the whole year. The latter two have been absent for a few months due to illness and maternity leave. They've only been present for two or three quarters out of the four.
If you pay based on performance, you should reward the employee who had a greater impact by simply being present and shipping projects — right? But if this is the case, the employees would be punished simply for taking time off (which is a legal right).
Women are still paid 16% less than men in the US and 18% less in Europe. The same issue applies to people with disabilities. Compensation-based performance perpetuates these unfortunate statistics.
"But wait," you might argue, "performance should be assessed when the employee is here. If someone is absent for several months, you evaluate their performance and increase based on the period of presence."
This compensation strategy makes sense in theory but introduces room for interpretation and “gaming the system.” Now, employees have to strategically plan their absences around the annual performance appraisal to ensure they don't miss out.
What about a mother who is having her third pregnancy and is entitled to a one-year leave in many countries and companies? Would you truly base her performance increase on her performance from a year ago?
By penalizing employees for being away for a few months, you're creating unnecessary complexity and potential discrimination.
You may excel in one project, perform slightly below par in the next, and then shine again in another.
Let’s say your scope switches a bit and suddenly you’re not as great at keeping up with everything, you’re just good. However, your compensation is still higher — even if a colleague is now performing at a higher level.
It's the famous Peter Principle in action: People end up in positions where they perform at their worst because when they're great, they keep getting promoted.
By paying based on performance you apply the Peter Principle on compensation: You will ultimately pay employees more than the level of their performance.
For the same reason, we don’t believe compensation should be based on tenure. If you are rewarded for your tenure, over the years, you’ll become isolated at a very high level of compensation and misaligned with the market.
As the years pass, it will become extremely hard for you to find a job that pays what you expect and ultimately you can become unemployable. As a consequence, you’ll be very likely to stay but not for good reasons.
"But if you don't pay based on performance,” you say. “How is it fair that a high performer makes the same as an average performer?"
My answer is simple: As a human resources leader or a Manager, you must work tirelessly to avoid having average team players. You don't want average; you want excellence. A+ players only, period.
"This is unrealistic," you say. "You'll definitely have average employees, even poor ones."
I agree. But not for long. If you set high expectations and transparently communicate this at a company level, there are no surprises. If someone misses their performance goals too many quarters in a row and becomes a low performer, we trigger a performance improvement plan (PIP).
At Gorgias, our ultimate goal is to have the absolute best versions of ourselves in every corner of the company. Pay-for-performance programs force people to constantly strive to be "better" than others, which directly contradicts our company's vision of fostering high talent density. We believe this model leads to better employee engagement and company culture.
And ultimately, pay-for-performance doesn't work for top performers. When someone sees themselves as a rockstar and expects a 20% increase, but only receives 5%, it creates a misalignment between their beliefs and reality. With performance-based compensation as an option, it’s hard to make top performers (or anyone, really) satisfied.
Well, dear hiring manager, I'm sorry to burst your bubble, but no.
We share our compensation package with candidates right at the beginning of the hiring process (they can even check our salary calculator). If they say they're good with it, they're good with it. No surprises at the end, we offer exactly what we've shared from the start.
Being absolutely inflexible on this matter has made my life (and the lives of everyone involved in the hiring process) so much easier. No need to negotiate with HR when sending an offer. No need to get finance involved to revalidate the budget. It's smooth sailing.
I'm not saying that paying for performance is inherently bad. Obviously, if 80% of companies do it, there must be advantages like boosting retention of top talent.
I'm also aware that my vision may seem utopian. Maybe it's not entirely scalable, and perhaps we'll have to revisit our principles at some point.
But I've been told so many times that many things were not scalable and proved the opposite.
Not yielding is hard. Sticking to your principles is challenging. But adhering to your core principles is what creates wonderfully exciting machines like Stripe, Netflix, Apple, and Amazon.
You might think, "When people join a 20-person company, they know they're expected to work hard and strive for excellence. But when they join a 250-person company like Gorgias, they're not looking to work hard without direct compensation increases."
Maybe that’s true for some employees. As for me, I've worked just as hard in my previous 400,000-person company as I do in my current 250-person company.
And for those who desire something different, that’s okay. We just have to make our stance and policies clear and transparent in the interview process.
Yes, Gorgias is not for everyone. It's for people who thrive in a fast-paced environment, possess a growth mindset, and want to advance their careers. It's completely fine if it's not for you.
As long as we're aligned and embrace this statement, I sincerely believe we can continue scaling by paying people with the same job title and seniority level the same salary.
Quick summary:
Choosing the right ecommerce platform to host your online store is no small decision, but sometimes it's hard to know which option is right for your business. Shopify and Shopify Plus are two platforms that get a lot of buzz within the ecommerce community, and many store owners give them rave reviews.
What’s the difference between the two, and which plan is best for your ecommerce store? The main difference is that Shopify is for small and midsize businesses (SMBs), while Shopify Plus is for larger, or even enterprise-level businesses.
Below, we’ll discuss what each plan offers before diving into pricing structures and key differences between Shopify and Shopify Plus. Whether you’re considering upgrading to Shopify Plus from the regular Shopify plan or migrating from another ecommerce platform (like BigCommerce or Magento), read on to understand which option is right for you.
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Shopify is an ecommerce platform that offers businesses a way to promote, sell, and ship their products. It’s widely recognized as being great for beginners, meaning that the learning curve for new ecommerce store owners is minimal, and provides a level of customization that most small businesses find attractive.
Shopify Plus is a Shopify upgrade designed for large enterprises making high-volume sales that total around $1 million in gross merchandise value (GMV). The higher price tag unlocks more storefront functionality, automations, support, and integrations than core Shopify plans.
The main difference between Shopify and Shopify Plus lies in pricing, which is tailored to accommodate the unique needs and budgets of merchants.
Core Shopify plans cater to small to midsize businesses (SMBs) and has fixed pricing plans with the cheapest starting at $5/month. In comparison, Shopify Plus is made for larger enterprise businesses, starting at $2,000 per month and is customized to each merchant via quote.
Let’s take a closer look at the breakdown for each plan within Shopify and Shopify Plus.
Shopify has five plans depending on your online store requirements and the size of your team.
It’s important to note that all standard Shopify plans are subject to online and in-store transaction fees, as well as non-Shopify payment fees.
Related: Our comparison of Magento and Shopify for ecommerce merchants
Shopify Plus pricing plans can only be determined via quote but start at $2,000 per month, plus a percentage of your store’s monthly sales volume. This enterprise-level commitment comes with additional transaction fees, online store development, site launch, third-party services, and add-ons.
Shopify Plus doesn’t provide flat pricing plans. Instead, you will need to contact a Shopify Plus sales representative to receive your quote.
Understanding the main differences in the two options is essential to make the best choice for your ecommerce store.
Below, we’ve identified nine ways Shopify and Shopify Plus differ from each other, and what these differences mean for your business.
One of the benefits of Shopify Plus is that users have access to the merchant success program. This exclusive program lets Plus users connect with merchant success managers (MSMs) to optimize their Shopify Plus experience.
Here are a handful of ways MSMs support merchants:
Note: Plus users do not get a dedicated account manager, but they have direct access to a team of MSMs who are available to solve their business needs.
Shopify Academy is an educational resource hub full of advanced resources — like courses and webinars — that helps merchants improve their store’s design, marketing, operations, and more.
For merchants interested in self-guided education, the information on Shopify Academy’s information serves as a supplement to your merchant success manager to gain the knowledge you need to grow your store.
Here are a few titles you’ll find in Shopify Academy:
Related: Our list of the best customer service courses and certifications
Between Shopify and Shopify Plus, there is one major difference concerning checkout: The checkout page is customizable on Shopify Plus via checkout extensibility, while the checkout page on core Shopify plans are limited to their selected Shopify theme with no additional customization options.
Exclusive to Shopify Plus merchants, checkout extensibility is a code-free feature that allows checkout pages to have completely custom UI and content. This ability to personalize the checkout experience gives online businesses the power to greatly reduce cart abandonment and transform hesitant shoppers into customers.
On core Shopify plans except Shopify Starter, merchants can use Shopify apps to give their checkout page minor modifications to the backend logic and post-purchase experience.
Related: Our Shopify SEO guide to standing out amongst the competition
Depending on which pricing option you choose, you can add between two and 15 users to your standard Shopify dashboard (in addition to your owner profile). Stores on the Starter plan are allowed two staff accounts.
On the other hand, Shopify Plus offers unlimited staff accounts, allowing large teams access to their online store dashboard. This inclusivity allows effortless collaboration within the team when integrating order management and helpdesk tools like Gorgias. When teams combine Shopify Plus with Gorgias, they get:
The App Store is one of Shopify’s most enticing features. There are well over 8,000 paid and free Shopify apps in the new app store. Shopify itself is responsible for creating only 34 of them to date, but there are hundreds of other third-party app solutions from everything including marketing, order management, store design and customer support.
Notably, this enables easy integration with ecommerce apps like Gorgias, an excellent Shopify app for customer service and order management. You can elevate customer support with Macros, streamline order processes, and enhance the overall efficiency of your store on both a standard Shopify plan or a Shopify Plus plan.
However, Shopify Plus merchants have much more flexibility when it comes to API integrations. These users can integrate their ecommerce store with their existing ERP or CRM systems, which standard Shopify stores cannot.
A few examples of Shopify Plus API solutions include:
Related: The best 40+ Shopify apps to optimize your ecommerce store
Shopify payments are straightforward. Transaction fees are laid out as percentages of the total order volume. The Shopify POS includes a free credit card reader, which conveniently integrates your online and offline sales, no matter which plan you are on. But, what are the differences between Shopify and Shopify Plus’ payment processing and transaction fees?
For businesses using Shopify’s integrated payment system, Shopify Payments, there is no transaction fee as of May 2022. If your business uses an external payment gateway, transaction fees are as follows:
Like core Shopify plans, transaction fees are waived if your business uses Shopify Payments. However, for external payment gateways, transaction fees are as follows:
Shopify is designed to set ecommerce merchants up for success. During the checkout process, your page needs to be optimized for high conversion rates. Luckily, promotional discounts can help you achieve just that. Want to run flash sales and seasonal price reductions? Here’s how your ecommerce business can make it happen with Shopify and Shopify Plus.
There are probably hundreds of apps in Shopify’s add-on marketplace that can help you create discounts to entice your shoppers. Standard plans include the ability to easily create discounts from inside your dashboard. In addition, you can enable shoppers to redeem in-store discounts if you use Shopify’s integrated POS system.
What type of discounts can you create with a standard Shopify plan?
After you run a promotional discount campaign, you can track its progress using the “Sales by Discount” report. Regular reports provide you with insights about which campaigns are working and which ones aren’t. Use real data to power your marketing campaigns.
Children’s vitamins brand, Hiya, takes advantage of the discount options available with Shopify by doubling-down. First, they offer 50% off first order then follow it up with free shipping. Both promotion types are executable via the discount portal.
Take your promotions a step further with Shopify Plus. You can increase your cart value with Launchpad, exclusive to the Plus platform. The system automates most aspects of promotional campaigns, discounts, flash sales, and product releases.
Planning and executing an online sale usually involves tedious manual processes. When running a campaign this way, it’s difficult to make real-time optimizations to your campaigns. The add-on makes it much easier, reducing the amount of time spent launching a campaign and the risk for human error.
Here’s what you can expect Launchpad to automate for you:
Simba runs percentage discount campaigns for their online store. From a customer perspective, their campaign execution is comparable to that of Hiya above. But, as a Shopify Plus user, you can wager that they use Launchpad to automate the process rather than manually perform the tedious work.
Source: Simba
The regular Shopify plan comes with plenty of features that are sufficient for most small businesses and single-store organizations. But larger stores may find the following features and apps, which are only available for Shopify Plus subscribers, worth the higher price tag:
If you’re a Shopify store interested in expanding to B2B selling, you will need to contact a Shopify sales representative to upgrade your Shopify account.
Shopify Plus offers access to headless commerce features not found in Shopify Core plans. With headless commerce, online stores can separate the frontend customer touchpoints from the backend, allowing custom storefronts and immersive shopping experiences. "Going headless" is an excellent choice for enterprise-level businesses aiming to scale, especially with dedicated developers on the team.
On the other hand, standard Shopify plans don't have access to headless commerce and rely on templates and themes for their online store designs. This limitation can be limiting for businesses in the midst of expansion as it restricts them from fully scaling their online presence.
Shopify and Shopify Plus both have tools to help you reach a bigger audience, scale your business, automate your processes, and stay competitive. If you're trying to decide which one will work best for you, think about the pricing structure that works best for your business, the customization and customer support you need, and the areas of the world you want to reach.
Regardless of your choice, consider how you’ll provide fast, helpful customer service to visitors of your store. Gorgias integrates with Shopify and Shopify Plus and is the only customer service platforms to receive the distinction of being a Shopify Plus Partner.
Want to know more about Gorgias’s centralized, automation-powered, and revenue-generating customer service solution? Yes, book my demo.
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61% of consumers define an excellent customer support interaction as one with a quick resolution, according to a 2021 study. Your overall customer experience depends on how fast you can provide answers that fully solve a customer’s problem and lets them get on with their day—without too much effort.
Average resolution time is the metric businesses use to measure how quickly their customer support teams completely close an open customer issue. It’s not the only customer support metric that matters, and I don’t recommend holding it up as the holy grail of your team’s success. But it’s certainly worth measuring (and, usually, lowering) because it can make or break the customer experience — especially for urgent issues like lost packages, billing issues, or outages and bugs.
Learn all about average resolution time below, including what it is, how to measure and interpret your average resolution time, and how to lower your brand’s resolution time and make customers happy.
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Resolution time, also called time to resolution or mean time to resolution (MTTR), is the average amount of time a customer spends interacting with a business’s customer support, helpdesk, or customer service team before their issue is solved.
The clock starts ticking the moment a customer writes or calls your support team. It includes the amount of time customers wait before getting a first response and any additional wait time between conversations. The clock stops ticking when the question is resolved and the support interaction is complete.
Most brands don’t measure resolution time for individual tickets; they measure resolution time across all tickets — average resolution time. Apply a formula like this one to measure your business’s average resolution time:
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Average resolution time = Total resolution time in a defined period / Total number of customer interactions resolved in that period
If you conduct customer support directly on email and social media, you’ll have to calculate the total resolution time for all tickets by hand. This is tedious: You’ll have to subtract the difference between the timestamp of the last message in an interaction from the timestamp of the first message.
However, if you use a helpdesk for customer service, you’ll likely have access to a dashboard that reports on your resolution times. Here’s what average resolution time looks like in Gorgias, which you can view by agent, channel, time frame, and more:
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Orange represents average resolution time, while red represents the resolution time of the 10% of tickets that took the longest to resolve.
Ecommerce businesses work especially hard to reduce their average resolution time because of the high customer expectations: 63% of customers will leave a brand after a single bad customer service experience. The stakes for fast, helpful customer service are high.
But defining a good resolution time is difficult because of a variety of factors:
But perhaps the most important “it depends” for resolution time is the type of ticket in question. At Gorgias, we encourage you to categorize every ticket into one of two categories: simple requests, which you can automate entirely, and complex requests, which will (and should) have higher resolution times.
Rather than trying to drive a variety of tickets to an arbitrary benchmark, you can clear your queue of repetitive, tedious tickets so you actually have time to handle and more efficiently resolve more complex ones.
Here’s what we mean:
Questions like “Where is my order?” or “What’s your return policy?” or “Where do you ship?” might not take long to resolve individually, but they tend to take up a lot of time because customers ask them at such a high volume. We call them “empty calorie” tickets. You could try and resolve these tickets one by one, but it’s much faster (for both customers and agents) to provide helpful, automated answers.
Here’s how you can provide instant answers to these types of questions:
This way, when customers ask these FAQs, they’ll immediately get a resolution-worthy response — assuming the templated response is helpful — without any agent effort.
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Even better, you can set up self-service resources like FAQ pages, knowledge bases, or Quick Response Flows like the one pictured below:
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Again, the goal is to deflect empty-calorie tickets from your queue so agents don’t have to rush through complex, escalated, or high-impact questions. And don’t worry: Customers always have a clear path to a human agent if they need extra support.
Once you automate simple tickets, your helpdesk will have a higher ratio of questions that actually need human attention. This way, your customer service agents won’t have to rush through a mountain-high pile of tickets each day.
It may sound counterintuitive, but slowing down is often the best way to lower resolution time for these types of tickets. They need some extra research, personalization, problem-solving, and empathy to fully resolve. And taking a few extra minutes to resolve these issues won’t be an issue because you don’t have a queue overflowing with easy tickets waiting for an available agent.
These types of questions include:
Now, we’re not saying resolution time doesn’t matter here. It does. But it’s a mistake to expect these tickets to match the resolution time of the first category, and lumping them all together in terms of metrics will paint an unclear picture of the problem.
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Now that you’ve separated simple and complex tickets, consider each channel your customers use: email, DMs, live chat, and so on. Customers have expectations for each support channel, and I recommend building your service-level agreements (SLAs) for each channel’s resolution time around those expectations.
Below, I recommend some rough benchmarks for major support channels. That said, the time frames listed below are ambitious, so aim for gradual improvements based on your current average resolution times rather than matching my suggestions exactly.
Email isn’t an instant messaging channel, so customers don’t expect instant responses. Ideally, you should respond within the same day — within a few hours is even better. Email works well for complex issues, where customers may need to explain an issue in detail or send a picture of their purchase.
As a live messaging channel, SMS resolution time should ideally be less than 10 minutes. SMS texting usually involves shorter messages than email, so it’s best to funnel quick, simple interactions to SMS. That said, one benefit of SMS is that customers can start a conversation and text you throughout the day, so the channel’s resolution time might be a bit longer than other live channels like live chat.
Learn more about offering SMS customer service with Gorgias.
Live chat is the most immediate channel because customers are usually sitting by their computers for the entire conversation. With that in mind, aim for an average resolution time of under 10 minutes, too.
Live chat is great for real-time conversations and can be combined with chatbots or other self-service features for automating the simplest queries. One downside is that impatient users may switch tabs and forget about the conversation, driving up your resolution time metrics. But Gorgias features like our in-message product cards are great at keeping customers engaged until a resolution:
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Some brands are worried about high resolution times from live chat if messages come in outside of business hours. Check out our post on how Gorgias helps small teams manage live chat if you have this same concern.
Check out our post on live chat support for more information about this support channel.
Phone calls are one of the quickest paths to a resolution since you can collect details, offer multiple tactics to solve the issue, and stay on the line until the customer is completely satisfied — no back and forth necessary. Gorgias customers improve ticket resolution by 34% by adding phone support.)
Aim for resolution time under 10 minutes for the simple tickets, but also leave the door open for longer phone calls as a great strategy to handle complex issues. You don’t want to rush through a phone call with frustrated or VIP customers for the sake of hitting a resolution metric.
Read more about the benefits of phone support for your brand.
Your customers will think of social messaging as nearly the same as live chat, so treat it the same: resolution time within minutes (certainly under 10 minutes). When they get what they want, customers love social because it feels like a shortcut compared to phone or email. But, like SMS and live chat, social media can be a difficult channel in which to solve complex issues.
Check out our guide to social media and customer service.
Each channel has its strengths and weaknesses in terms of helping the customer solve their issue. Some are better for solving issues quickly, while others excel at solving them thoroughly.
There is no single best channel. The real goal should be solving the customer’s issue efficiently and completely. For that matter, ecommerce businesses can’t directly control which support channel customers will choose, so the best approach is to provide omnichannel communication that focuses on meeting the customer where they’re at and using a customer service platform that reduces platform-switching for customer service agents.
One important distinction in this discussion is the difference between resolution time and first reply time (FRT).
First reply time measures how long a customer has to wait before getting a response from your support team. Obviously, a customer who's been on hold for an hour will be in a certain frame of mind when they finally get a hold of a team member — and it isn’t a good one.
Across all live channels (on-site live chat and SMS, for example), a reply time under two minutes is a good target. Email, on the other hand, can usually have a longer first reply time — up to a few hours is acceptable.
While keeping first reply time low is important, relying solely on this customer service metric is a mistake. For example, if your team’s only goal is to keep first reply time below two minutes, they may do a great job at making that initial contact — at the cost of actually solving people’s problems promptly. This scenario will also correlate to lower customer satisfaction (CSAT) scores, even when your team hits its KPI for reply time.
In reality, both resolution time and first reply time are important, in nearly equal proportion. Placing more emphasis on one than the other can lead to problematic interactions with customers, so ecommerce companies should take a balanced approach.
Within Gorgias, users can see their unique support performance score. This powerful metric combines three customer support metrics (first reply time, resolution time, and CSAT score) into a single metric to give you a more well-rounded view of your support team’s performance.
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Now that we’ve formed a framework for categorizing and thinking about support tickets, it’s time to work on reducing resolution time — intelligently and carefully, so you don’t run into the pitfalls we’ve mentioned.
Here are seven strategies.
First up, the best support ticket is the one that never exists because the customer solved their own problem. The next-best? One that you can close out almost immediately by pointing the customer to an existing resource.
FAQ pages provide value to you and your customers:
Process automation can significantly reduce first response time using automated responses (macros and rules) and self-service automation. Getting through initial triage via automation frees up your customer support agents to do the harder work. Chatbots can even solve simple tickets on their own, and your human team will get to ticket resolution faster when they aren’t swamped with empty-calorie tickets.
If most of your customers contact you on slower channels (like email), consider reminding them about faster channels like live chat and SMS. Point out that live chat customers get an answer in three minutes on average, and users with simple questions may decide to hop over.
Berkey Filters, a Gorgias customer, did just that after launching an SMS support channel. They implemented several tactics like:
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Your business should prioritize certain ticket types — the highest-value tickets might include VIP customers, customers about to make a purchase, and escalated customers. I recommend focusing on decreasing resolution times for these high-value tickets first and foremost, regardless of your overall metric. (Again, automating simple requests makes prioritizing these tickets even easier.)
Gorgias can use Shopify or BigCommerce data to tag customers who have spent over a certain amount as VIPs, pushing them to the front of the queue. Likewise, Gorgias’s sentiment detection can flag escalated customers.
Learn more about triaging and prioritizing customer service tickets using Shopify data.
If your brand sells vastly different products — or sells to vastly different types of customers — one way to prioritize tickets is to create specialized teams. This way, you don’t need to waste any time playing hot potato with the customer query. You simply auto-assign tickets to the appropriate team.
For example, say you sell desks to individuals as well as offices. More than likely, someone buying a single desk for their house will have different needs and questions than someone buying 100 desks for the business’s office. Using Gorgias, you can auto-assign tickets to a specialized team based on channel, language, or a myriad of other qualities with the support of auto-tagging.
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Technical issues can increase resolution time; sometimes, the answer lies elsewhere, outside your support team. Make sure you create clear escalation workflows so that, when these kinds of issues arrive, your team knows where to send them (and those other resources know the importance of responding promptly).
For example, if a customer had trouble with a missing package, they might need to speak directly to your fulfillment team. Likewise, if a customer has an issue with the functionality of your website, you may need to rope in your software engineers. Don’t wait until an issue arises to try and chase down these other teams — that’s a surefire path to a long resolution time.
The more manual your processes and the less connected to what you already know about customers, the longer it takes to close tickets and the more frustration you’ll likely create with customers.
So use the tools you already have (like historical data and perhaps templates) and leverage new, powerful tools like Gorgias’ ticketing system to expand your capabilities.
In 2022, we studied the data from over 10,000 ecommerce brands and sat down with 25+ ecommerce brands to understand the connection between customer experience and growth. We found that when brands lower their average email response time to under six hours, they lift overall revenue by about 2%.
Ready to learn more? Check out our ultimate CX playbook for 18 tactics to boost revenue through CX.
Want to lower your resolution time? Gorgias can help. Gorgias is customer support and helpdesk software that can help ecommerce support teams become more efficient, improve customer experience, and drive revenue.
Shopify comes equipped with everything you need to get your ecommerce store up and running, but if you really want to optimize it for time-saving efficiency and maximized sales, you are going to need to rely on some third-party apps from the Shopify app store.
From automating your email marketing campaigns to helping you better manage your inventory and much, much more, there is a large number of capabilities offered by the best Shopify apps. To help you decide which of these apps is the best choice for your ecommerce business, we'll take a look at the most important qualities to look for in a Shopify app before diving into the 40+ best Shopify apps available today.
For easy skimming, we've pulled out the top 10 Shopify apps for ecommerce stores below.
While the exact features and functions of Shopify apps can vary dramatically from app to app, there are still a few essential qualities that you will want to look for no matter what type of app you are needing. This includes qualities such as:
Like people, Shopify apps work best when they work together. Being able to integrate your email marketing app with your shipment tracking app, for example, means that you'll be able to send automated shipping updates to customers.
Integrating your customer support platform with your call center app, meanwhile, means that your agents providing phone-based customer support will have a wealth of data on the customers they are speaking with at their fingertips throughout each call.
These are just two examples of how it can be beneficial to choose apps that can integrate with your other ecommerce tools. Of course, it's also important to choose apps that will integrate with your ecommerce platforms, which is why all of the apps in our list are capable of integrating with Shopify, Shopify Plus, or both.
Plug-n-play solutions that don't offer much room for customization may seem convenient at first. As your business grows and scales, though, you are likely to find that these solutions no longer meet your needs like they once did.
While learning how to navigate Shopify apps that offer a wide range of customization options might require a bit of a learning curve, it's almost always worth it in the end.
Even the most well-polished apps still require regular updates and maintenance to continue functioning correctly. In addition to scheduled updates and maintenance, it is also essential to choose apps whose providers are willing to work with you to quickly correct any bugs or issues that come up while you are using the app.
This makes great customer support a vital quality to look for in Shopify app providers no matter what type of app you are purchasing.
Gorgias is an all-in-one customer support platform (including a helpdesk and live chat support) that provides a centralized help center for your customer support agents to provide great, revenue-generating customer experiences.
Gorgias lets ecommerce brands centralize conversations from every channel, empowered with features including:
If you are looking for a tool that will improve the customer experience on your website while at the same time reducing the burden of your customer support team, then Gorgias for Shopify is an excellent app to consider.
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Tidio is an app that provides both live chat and chatbot capabilities for your Shopify store, with AI-powered chatbots that allow you to automate up to 40% of your customer support conversations.
Help Center is a customer support solution that provides tabs for organizing your product descriptions, live chat software, a HelpDesk ticketing system, and an FAQ builder that allows you to create a comprehensive FAQ page in just a matter of minutes.
According to data from the Content Marketing Institute, 31% of B2B marketers say email newsletters are the best way to nurture leads. With these must-have Shopify apps for email marketing, you can automate your email marketing campaigns, create stunning branded emails, better segment your list for improved targeting, and beyond.
With Automizely Email Marketing, online store owners are able to create email campaigns that are both personalized and automated in addition to helping them create professional-quality emails using Automizely's drag-and-drop email editor.
Omnisend is a highly-popular email marketing tool that provides access to pre-built email and SMS workflows and templates, gives you the ability to segment your subscriber lists based on a wealth of data, and allows you to create automated email marketing campaigns that are sent out based on customer activity triggers.
See how Omnisend integrates with Gorgias.
With Klaviyo, you are able to easily segment your email list for personalized targeting before creating automated email campaigns that can be sent out based on a variety of custom triggers.
See how Klaviyo integrates with Gorgias.
Attentive is an SMS and email marketing solution that makes it easy to build and optimize campaigns while remaining compliant with SMS and email marketing regulations. This platform is designed to help store owners grow their subscriber lists and engage with these lists more effectively with segmentation and targeting functionality to generate high-impact campaigns.
See how Attentive integrates with Gorgias.
Selling more products is the ultimate goal of every Shopify store owner. With these sales and conversions Shopify apps, you can boost your sales with sales enablement tools such as SMS messaging tools, loyalty and referral programs, list segmentation tools, and beyond.
Marketed as a conversational text marketing ecommerce platform, Cartloop is designed to help ecommerce brands grow their subscriber base and engage with them on a more personal level. With highly targeted campaigns, Cartloop leverages simple text messages to help Shopify store owners increase revenue.
Recharge is a Shopify app for store owners who sell subscription-based products or services that makes it easy to set up and manage subscription programs in addition to providing your customers with the ability to manage their subscriptions either via SMS or through a user-friendly customer portal.
See how Recharge integrates with Gorgias.
Postscript is an SMS marketing tool that allows you to grow your SMS subscriber list with customizable opt-in tool templates, create hyper-targeted list segments based on your Shopify store data, and easily message customers with both one-on-one and mass messages.
See how Postscript integrates with Gorgias.
With Spently, Shopify store owners are able to turn their standard Shopify post-purchase notification emails into customizable, branded emails complete with product recommendations, discount codes, and other custom features.
Shopify provides all of the tools you need to create a basic online store. If you would like to create new features for your store that are not already supported by Shopify, though, you are sure to find these Shopify development apps highly beneficial.
Shopify's default product search function can be somewhat limited. With Omega Instant Search, though, you are able to develop a product search function for your store that is much more powerful thanks to features such as spell correction, fallback search, redirects, and synonyms.
A mega menu is a feature that allows you to display multiple menus from a single dropdown in your store's navigation, making it much easier for customers to find the specific products and collections that they are looking for. With Buddha Mega Menu, you can create an attractive and fully-functional mega menu for your Shopify store in a matter of minutes and cross-sell like a pro.
Smart Bar is an app that allows you to quickly create promotional bars and banners for your online store and populate these promotion bars and banners with conversion-boosting features such as countdown timers and free shipping bars.
404 page errors can potentially cost your store a lot of customers by both encouraging would-be customers to navigate away from your website and harming its SEO. With Easy Redirects, though, you can automatically find and fix all 404 errors on your Shopify store.
Hextom is a SaaS company that offers a number of different development solutions for Shopify stores, including a bulk image edit solution, a bulk product edit solution, an email collection bar, a payment processing tool for converting foreign currencies, a countdown timer bar, and more.
Vela is a solution that provides a centralized dashboard for managing multiple Shopify stores as well as the ability to bulk edit every aspect of your product descriptions.
According to data from Baymard Institute, 70% of shopping carts are abandoned before the customer completes their checkout. By enabling you to create fast and optimized checkout pages, these checkout Shopify apps can help you lower your abandoned cart rates and ultimately increase sales.
One-Click Checkout is an app that enables you to create "Buy Now" buttons for your products that take customers directly to the checkout page as well as create a checkout popup that shows customers the items in their cart each time they add a new item to the cart.
Integrating payment processing app Klarna into your online store provides your customers with the ability to split the cost of their purchase into four interest-free payments while still ensuring that you get paid upfront and in-full.
Fast Checkout In One Click is an app that allows you to create animated "Buy Now" buttons that direct customers straight to checkout, skipping the cart page and reducing the likelihood of an abandoned cart. Make your sales channels work harder for your brand.
Transcy is a language and currency conversion app that will automatically translate both the content and USD prices on your online store into the language and currencies of the customer viewing them, making it one of the best apps for stores that sell to a lot of international customers.
Buy Me Button is a Shopify checkout solution that offers features such as "Buy Me" buttons that take customers straight to checkout, a cart preview popup that appears when customers add a new item to their cart, and "Quick Buy" buttons that allow customers to purchase products from any page or listing on your website.
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One Click Upsell is a Shopify app designed to help store owners increase their average order value by presenting customers with upsell opportunities at checkout. With One Click Upsell, you can create one-click upsell options that are shown to customers either before or after checkout that allow them to add additions to their purchase with just a single, convenient click.
Keeping track of your inventory and ensuring that you always have the appropriate amount of products in stock to meet customer demand can sometimes be a time-consuming challenge.
With these inventory management Shopify apps, though, you can streamline and automate your various inventory management processes, freeing you up to focus on bringing in new customers and growing your store's revenue.
Katana Manufacturing ERP is an inventory management solution that allows you to optimize inventory movements by setting up reorder points and prioritizing your sales orders.
With Stock Sync, store owners are able to set up automatic inventory updates, update existing products via over 80 different connection methods, and set quantity rules to avoid overselling.
One of the most well-known inventory management solutions, QuickBooks Commerce is a platform that allows you to manage your product listings across multiple channels, track products from inventory to fulfillment, automatically update your inventory levels, and much more.
Stocky is an inventory management solution offered by Shopify that enables Shopify store owners to achieve complete visibility over their inventory through detailed inventory analytics and insights such as demand forecasting. Stocky also makes it easy to create and manage purchase orders from one place.
More of a logistics service provider than an application, ShipBob is a service that allows ecommerce store owners to ship their products in bulk to ShipBob warehouses across the country. Once you've delivered your products, ShipBob then takes over all inventory management and order fulfillment responsibilities on behalf of your online store — picking, packing, and shipping products to customers as they're ordered.
ShipBob is a common alternative to Shopify Fulfillment Network.
See how ShipBob integrates with Gorgias.
AfterShip Returns Center is a solution for managing customer returns that allows store owners to create a branded and interactive self-service returns page, provide customers with automated real-time updates regarding the status of their orders and returns, and set up smart routing rules to ensure that items are sent back to the right place at minimal cost.
See how Aftership integrates with Gorgias.
Encouraging exchanges for returned products rather than refunds is a great way to reduce the often substantial impact that product returns have on a store's bottom line. With Loop Returns, Shopify store owners can let customers take control of their returns and exchanges and free up their team.
See how Loop integreates with Gorgias.
According to a report from eMarketer, the number of US customers who purchased products directly from social media platforms grew to 80.1 million in 2020 and is expected to increase to 96.1 million in 2022. With these social media marketing Shopify apps, you can ensure that you are leveraging the advantages of social media marketing to their full potential.
With Outfy, Shopify store owners are able to automate the process of promoting their products on social media by creating and scheduling product promotion posts that can be automatically posted across multiple social media channels at once. Outfy also makes it easy to create collages, videos, and GIFs that you can use to make promotional posts really stand out.
Zotabox is an all-in-one ecommerce marketing platform that offers over twenty different marketing tools in one package, including tools such as a landing page builder, a Facebook reviews integration, Facebook live chat, and a promo popup.
With Instafeed, Shopify store owners are able to display content from their Instagram profile on their Shopify store in order to create social proof and expand the reach of their Instagram content.
Facebook Channel is a tool that allows you to sell your Shopify products directly on Instagram and Facebook by making it easy to set up Facebook and Instagram shops.
If a Shopify store has great products but no one ever visits it, does it make a profit? Unlike the well-known "tree falling in a forest" puzzle, there's a simple answer to this question, and the answer is "no.” By utilizing these search engine optimization (SEO) Shopify apps, you can ensure that Google lists your store snippets as high as possible in the results for relevant searches and boost the number of potential customers who find your site.
Plug In SEO is an app for Shopify stores that automates the tedious SEO process by automatically detecting and resolving a wide range of SEO issues such as broken links and missing metadata.
SEO Manager is an app that provides a range of features for boosting your website's SEO, including features such as detecting and automatically fixing broken links, JSON-LD data support, automated title, description, and image alt text templating, Google sitemap submission, and much more.
If the images in your Shopify store are not optimized, they could slow down your loading speeds and thus harm your site's SEO. With TinyIMG SEO & Image Optimizer, you can automatically compress all of your site's images without reducing their quality, speeding up your loading times and boosting your SEO. TinyIMG SEO & Image Optimizer also provides a range of other SEO features such as broken link detection and redirect and metadata optimization.
Yotpo is a review app that lets you stay engaged with customers, using email or SMS and a variety of customizable opt-in tools. Segment your lists based on detailed customer analytics, whether new or returning. The most unique selling point of Yotpo, however, is its tool set for encouraging customer reviews and dynamically displaying those reviews on your website.
See how Yotpo integrates with Gorgias.
Retention Rocket is an SMS marketing platform that allows you to grow your SMS subscriber list and encourage long-term loyalty with TCPA compliant opt-in templates. Message individual customers or entire subscriber lists directly from the app, and create automated SMS messaging campaigns that can be triggered by a wide range of customer events.
Smile.io is an app designed to help you improve your customer retention and increase your lifetime customer value by making it easy for you to create and manage loyalty and referral programs for your Shopify store.
See how Gorgias integrates with Smile.io.
With LoyaltyLion, Shopify store owners can retain more loyal customers and increase repeat purchases with customized loyalty programs. This platform simplifies the management of your customer loyalty program and offers a number of promotional marketing tools that help you promote your program to new and existing customers.
See how Gorgias integrates with LoyaltyLion.
Tthe right Shopify apps can provide you with a broad range of revenue-boosting capabilities, from tools to grow your subscriber lists to tools for improving the quality and efficiency of your customer support (and everything in between).
At Gorgias, we are dedicated to helping Shopify store owners grow by providing their customers with the best possible experience as efficiently as possible.
If you would like to see for yourself the many benefits that Gorgias provides to Shopify store owners, see how Gorgias works with Shopify and sign up for Gorgias today.
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