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AI Is Table Stakes for Ecommerce: What the Data Tells Us About 2026

AI adoption in ecommerce has reached 96% in 2026, with use cases spanning support automation, personalization at scale, product discovery, and end-to-end operations.
By Gabrielle Policella
0 min read . By Gabrielle Policella

TL;DR:

  • AI adoption is rapidly accelerating. 96% of ecommerce professionals now use AI in their roles, up from 69% in 2024.
  • AI has moved beyond support automation. Use cases have evolved into revenue generation, personalization, and logistics.
  • Brands are tying AI success to profit-and-loss outcomes. 60% of brands consider AOV a top indicator of AI effectiveness.  

A year ago, ecommerce brands were still debating whether AI was worth the investment. That debate is over. Today, nearly every ecommerce professional uses AI to do their job.

The shift isn't just about adoption. It's about what AI is used for and how brands measure its impact. Support automation was the entry point. Now, AI is embedded across the full operation, from product recommendations to inventory control to real-time shopping conversations.

In our 2026 State of Conversational Commerce Report, we break down trends on AI usage among 400 ecommerce decision-makers and 16,000+ ecommerce brands using Gorgias. 

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AI adoption has reached a tipping point

If we rewind 12 months ago, the industry was still split on AI. Some ecommerce professionals were excited, but most were still hesitant. In 2024, 69% of ecommerce professionals used AI in their roles. By 2025, that number reached 77%. In 2026, it hit 96%.

Ecommerce professionals using AI: 69.2% in 2024, 77.2% in 2025, and 96% in 2026.

The confidence numbers back it up. 71% of brands say they are confident using AI for ecommerce, and 73% are satisfied with its business impact. 

In early 2025, only 30% of ecommerce professionals rated their excitement for AI at 10/10. Today, zero percent of respondents describe themselves as hesitant about AI. 

Views on AI among ecommerce professionals: 33% say it’s transforming their business, 50% see steady improvements, 18% say it hasn’t delivered, and 0% remain hesitant.

AI use cases now span the full ecommerce stack

Using AI in ecommerce is not new. In fact, it dates back to the 1980s with the invention of algorithms and expert systems. And if you’ve ever leveraged similar product recommendations or chatbots, you’ve already integrated AI into your ecommerce stack. 

Modern AI is far more sophisticated. 

With the rise of agentic commerce and conversational AI, brands began leveraging AI agents to automate the processing of repetitive support tickets. That’s still happening today, but the scope has expanded beyond the support queue. 

AI use cases in ecommerce include customer support automation (96%), product recommendations (88%), tracking updates (69%), personalization (64%), inventory control (51%), dynamic pricing (36%), and order fulfillment (18%).

Ecommerce brands are deploying AI across every layer of their operation:

  • Customer support automation: 96%
  • Product recommendations: 88%
  • Automated tracking and status updates: 69%
  • Personalization: 64%
  • Inventory control: 51%
  • Dynamic pricing and discounting: 36%
  • Order fulfillment: 18%

When brands were asked which channels contribute most to their AI success, conversational channels dominated. Social media messaging led at 78%, followed by SMS at 70%, and website live chat at 51%. Shoppers want fast, personal conversations, and AI is the best way to deliver that at scale.

Learn more about AI adoption, perception, and use case trends in the full 2026 Conversational Commerce Report.

How AI is changing CX success metrics

For decades, customer support success meant fast response times and high satisfaction scores. Those are still important indicators of success, but leading brands are adding revenue-focused metrics to their dashboards.   

91% of brands still track CSAT as a measure of AI's impact. But 60% now include AOV as a top indicator, and higher-revenue brands earning $20M+ are focusing on metrics like total operating expenses, cost per resolution, incremental revenue, and one-touch ticket rate.

AI impact measured by 91% customer satisfaction, 60% average order value, and 43% resolution time.

AI can now start a conversation, ease customer doubts, sell, upsell, and recover abandoned carts in a single conversation. When you’re only measuring CSAT, you’re ignoring the real ROI of conversational AI investment. 

AI makes every conversational channel a storefront

Virtual shopping assistants now proactively engage shoppers, adapt to their needs in real time, and offer contextual product recommendations and upsells. When the moment calls for it, they can close the deal with a targeted discount. 

Gorgias brands using AI Agent's shopping assistant capabilities nearly doubled their purchase rates and converted 20–50% better than those using AI Agent for support only.

Orthofeet, the largest provider of orthopedic footwear in the US, is a concrete example of this in practice. Using Gorgias, they achieved:

  • 56% of support tickets automated in 2 months
  • Email response times down from 24 hours to 35 seconds
  • Double-digit revenue growth without adding headcount. 

What this means for your AI strategy

The data tells a clear story: AI has evolved beyond a tool for handling tier 1 support tickets. It’s a core part of your revenue generation strategy. 

57% of brands are already using AI for 26–50% of all customer interactions, and 37% expect that share to rise to 51–75% within the next two years. The brands building toward that range now are the ones who will have the operational advantage when it matters most.

The practical question isn't whether to invest in AI. It's where to focus first. Based on where brands are seeing the most impact, three priorities stand out:

  • Start with high-volume, low-complexity tickets. WISMO (where is my order) inquiries, return policy questions, and order status updates are where AI delivers the fastest return. Automate these first.
  • Expand into conversational channels. Social messaging and SMS are where AI is driving the most success right now.
  • Connect AI performance to revenue metrics. If you're only measuring CSAT and response time, you're missing half the story. Add AOV, conversion rate, and incremental revenue to your reporting.

Want to go deeper on the full 2026 conversational commerce trends? Read the complete report for data across every major AI use case in ecommerce.

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min read.
Conversational Commerce Strategy

AI in CX Webinar Recap: Building a Conversational Commerce Strategy that Converts

By Gabrielle Policella
0 min read . By Gabrielle Policella

TL;DR:

  • Implement quickly and optimize continuously. Cornbread's rollout was three phases: audit knowledge base, launch, then refine. Stacy conducts biweekly audits and provides daily AI feedback to ensure responses are accurate and on-brand.
  • Simplify your knowledge base language. Before BFCM, Stacy rephrased all guidance documentation to be concise and straightforward so Shopping Assistant could deliver information quickly without confusion.
  • Use proactive suggested questions. Most of Cornbread's Shopping Assistant engagement comes from Suggested Product Questions that anticipate customer needs before they even ask.
  • Treat AI as another team member. Make sure the tone and language AI uses match what human agents would say to maintain consistent customer relationships.
  • Free up agents for high-value work. With AI handling straightforward inquiries, Cornbread's CX team expanded into social media support, launched a retail pop-up shop, and has more time for relationship-building phone calls.

Customer education has become a critical factor in converting browsers into buyers. For wellness brands like Cornbread Hemp, where customers need to understand ingredients, dosages, and benefits before making a purchase, education has a direct impact on sales. The challenge is scaling personalized education when support teams are stretched thin, especially during peak sales periods.

Katherine Goodman, Senior Director of Customer Experience, and Stacy Williams, Senior Customer Experience Manager, explain how implementing Gorgias's AI Shopping Assistant transformed their customer education strategy into a conversion powerhouse. 

In our second AI in CX episode, we dive into how Cornbread achieved a 30% conversion rate during BFCM, saving their CX team over four days of manual work.

Top learnings from Cornbread's conversational commerce strategy

1. Customer education drives conversions in wellness

Before diving into tactics, understanding why education matters in the wellness space helps contextualize this approach.

Katherine, Senior Director of Customer Experience at Cornbread Hemp, explains:

"Wellness is a very saturated market right now. Getting to the nitty-gritty and getting to the bottom of what our product actually does for people, making sure they're educated on the differences between products to feel comfortable with what they're putting in their body."

The most common pre-purchase questions Cornbread receives center around three areas: ingredients, dosages, and specific benefits. Customers want to know which product will help with their particular symptoms. They need reassurance that they're making the right choice.

What makes this challenging: These questions require nuanced, personalized responses that consider the customer's specific needs and concerns. Traditionally, this meant every customer had to speak with a human agent, creating a bottleneck that slowed conversions and overwhelmed support teams during peak periods.

2. Shopping Assistant provides education that never sleeps

Stacy, Senior Customer Experience Manager at Cornbread, identified the game-changing impact of Shopping Assistant:

"It's had a major impact, especially during non-operating hours. Shopping Assistant is able to answer questions when our CX agents aren't available, so it continues the customer order process."

A customer lands on your site at 11 PM, has questions about dosage or ingredients, and instead of abandoning their cart or waiting until morning for a response, they get immediate, accurate answers that move them toward purchase.

The real impact happens in how the tool anticipates customer needs. Cornbread uses suggested product questions that pop up as customers browse product pages. Stacy notes:

"Most of our Shopping Assistant engagement comes from those suggested product features. It almost anticipates what the customer is asking or needing to know."

Actionable takeaway: Don't wait for customers to ask questions. Surface the most common concerns proactively. When you anticipate hesitation and address it immediately, you remove friction from the buying journey.

3. Implementation follows a clear three-phase approach

One of the biggest myths about AI is that implementation is complicated. Stacy explains how Cornbread’s rollout was a straightforward three-step process: audit your knowledge base, flip the switch, then optimize.

"It was literally the flip of a switch and just making sure that our data and information in Gorgias was up to date and accurate." 

Here's Cornbread’s three-phase approach:

  1. Preparation. Before launching, Cornbread conducted a comprehensive audit of their knowledge base to ensure accuracy and completeness. This groundwork is critical because your AI is only as good as the information it has access to.
  2. Launch and training. After going live, the team met weekly with their Gorgias representative for three to four weeks. They analyzed engagements, reviewed tickets, and provided extensive AI feedback to teach Shopping Assistant which responses were appropriate and how to pull from the knowledge base effectively.
  3. Ongoing optimization. Now, Stacy conducts audits biweekly and continuously updates the knowledge base with new products, promotions, and internal changes. She also provides daily AI feedback, ensuring responses stay accurate and on-brand.

Actionable takeaway: Block out time for that initial knowledge base audit. Then commit to regular check-ins because your business evolves, and your AI should evolve with it.

Read more: AI in CX Webinar Recap: Turning AI Implementation into Team Alignment

4. Simple, concise language converts better

Here's something most brands miss: the way you write your knowledge base articles directly impacts conversion rates.

Before BFCM, Stacy reviewed all of Cornbread's Guidance and rephrased the language to make it easier for AI Agent to understand. 

"The language in the Guidance had to be simple, concise, very straightforward so that Shopping Assistant could deliver that information without being confused or getting too complicated," Stacy explains. When your AI can quickly parse and deliver information, customers get faster, more accurate answers. And faster answers mean more conversions.

Katherine adds another crucial element: tone consistency.

"We treat AI as another team member. Making sure that the tone and the language that AI used were very similar to the tone and the language that our human agents use was crucial in creating and maintaining a customer relationship."

As a result, customers often don't realize they're talking to AI. Some even leave reviews saying they loved chatting with "Ally" (Cornbread's AI agent name), not realizing Ally isn't human.

Actionable takeaway: Review your knowledge base with fresh eyes. Can you simplify without losing meaning? Does it sound like your brand? Would a customer be satisfied with this interaction? If not, time for a rewrite.

Read more: How to Write Guidance with the “When, If, Then” Framework

5. Black Friday results proved the strategy works under pressure

The real test of any CX strategy is how it performs under pressure. For Cornbread, Black Friday Cyber Monday 2025 proved that their conversational commerce strategy wasn't just working, it was thriving.

Over the peak season, Cornbread saw: 

  • Shopping Assistant conversion rate jumped from a 20% baseline to 30% during BFCM
  • First response time dropped from over two minutes in 2024 to just 21 seconds in 2025
  • Attributed revenue grew by 75%
  • Tickets doubled, but AI handled 400% more tickets compared to the previous year
  • CSAT scores stayed exactly in line with the previous year, despite the massive volume increase

Katherine breaks down what made the difference:

"Shopping Assistant popping up, answering those questions with the correct promo information helps customers get from point A to point B before the deal ends."

During high-stakes sales events, customers are in a hurry. They're comparing options, checking out competitors, and making quick decisions. If you can't answer their questions immediately, they're gone. Shopping Assistant kept customers engaged and moving toward purchase, even when human agents were swamped.

Actionable takeaway: Peak periods require a fail-safe CX strategy. The brands that win are the ones that prepare their AI tools in advance.

6. Strategic work replaces reactive tasks

One of the most transformative impacts of conversational commerce goes beyond conversion rates. What your team can do with their newfound bandwidth matters just as much.

With AI handling straightforward inquiries, Cornbread's CX team has evolved into a strategic problem-solving team. They've expanded into social media support, provided real-time service during a retail pop-up, and have time for the high-value interactions that actually build customer relationships.

Katherine describes phone calls as their highest value touchpoint, where agents can build genuine relationships with customers. “We have an older demographic, especially with CBD. We received a lot of customer calls requesting orders and asking questions. And sometimes we end up just yapping,” Katherine shares. “I was yapping with a customer last week, and we'd been on the call for about 15 minutes. This really helps build those long-term relationships that keep customers coming back."

That's the kind of experience that builds loyalty, and becomes possible only when your team isn't stuck answering repetitive tickets.

Stacy adds that agents now focus on "higher-level tickets or customer issues that they need to resolve. AI handles straightforward things, and our agents now really are more engaged in more complicated, higher-level resolutions."

Actionable takeaway: Stop thinking about AI only as a cost-cutting tool and start seeing it as an impact multiplier. The goal is to free your team to work on conversations that actually move the needle on customer lifetime value.

7. Continuous optimization for January and beyond

Cornbread isn't resting on their BFCM success. They're already optimizing for January, traditionally the biggest month for wellness brands as customers commit to New Year's resolutions.

Their focus areas include optimizing their product quiz to provide better data to both AI and human agents, educating customers on realistic expectations with CBD use, and using Shopping Assistant to spotlight new products launching in Q1.

Build your conversational commerce strategy now

The brands winning at conversational commerce aren't the ones with the biggest budgets or the largest teams. They're the ones who understand that customer education drives conversions, and they've built systems to deliver that education at scale.

Cornbread Hemp's success comes down to three core principles: investing time upfront to train AI properly, maintaining consistent optimization, and treating AI as a team member that deserves the same attention to tone and quality as human agents.

As Katherine puts it:

"The more time that you put into training and optimizing AI, the less time you're going to have to babysit it later. Then, it's actually going to give your customers that really amazing experience."

Watch the replay of the whole conversation with Katherine and Stacy to learn how Gorgias’s Shopping Assistant helps them turn browsers into buyers. 

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min read.
We Rebuilt Chat

We Rebuilt Chat to Feel Less Like a Bot. Here Are the Results

We redesigned Chat from the ground up, driving 36% more product clicks and 2.25x more add-to-cart.
By Gorgias Team
0 min read . By Gorgias Team

TL;DR:

  • Chat is growing 2.5x faster than email. The shift toward real-time, conversational commerce pushed a full redesign to match how people actually want to shop.
  • The new Chat is designed to drive action, not just answer questions. Clickable replies, contextual prompts, and built-in shopping features guide shoppers from discovery to checkout faster.
  • 36% more customers click on products shown in Chat. Shoppable product cards make browsing feel natural and keep shoppers engaged in the conversation.
  • 2.25x more shoppers add products to cart from Chat. Removing external links and keeping the journey in one place significantly increases buying intent.
  • 7.3% more shoppers engage with Chat overall. Cleaner design and contextual entry points encourage more visitors to start conversations earlier.

In 2025, chat’s growth outpaced email by 2.5x quarter over quarter. Chat has become our most powerful customer experience tool for how shoppers discover products, ask questions, and decide to buy. 

We knew it needed an upgrade, so we reimagined the entire experience from the ground up.

The result is 36% more engagement with product recommendations, nearly 2.25x more shoppers add-to-cart, and 7.3% more customer engagement.

In this post, we'll walk you through our thinking, what’s new in Chat, and how brands are already seeing big gains.

Why the legacy experience needed a makeover

Chat has outpaced email support. Today’s shoppers prefer the speed of quick chat conversations over email. And when shoppers make a new move, we watch, listen, and move with them. 

This behavioral shift isn’t happening in isolation. It aligns with the rise of conversational commerce and proves a universal move toward real-time conversations in ecommerce.

In fact, the signals were already there. Two years of building AI Agent showed us just how much design shapes behavior. The interface is the experience, and we knew that pushing chat experiences to closely resemble human interactions would transform how shoppers engage.

Our new and updated chat brings that vision to life. We believe that shopping is moving from static pages to conversations. This new update is built for how people actually want to shop.

What the new Chat can do

The new design turns live chat into an interactive shopping surface made for modern shoppers. We've brought together multiple ways for shoppers to jump into chat, added clickable replies instead of typing, browsable product cards right in the conversation, and quick cart access.

Let's walk through what's new.

A cleaner visual experience

Chat now comes in a softer color palette that adapts to your store’s branding. We removed message bubbles in favor of an airy design that brings in the familiarity of speaking to your favorite conversational AI assistant. Every interaction now has the breathing room for deeper conversation and personalization.

Sol de Janeiro's Gorgias Chat has an orange to gray gradient background. A list of shortcuts like Track order, Report issue, and Other are listed.

One-click replies that move shoppers forward

It’s now easier for shoppers to get an answer with quick reply buttons and suggested questions in Chat. This replaces the tree-based flows of the previous Chat, removing the need to follow a fixed path. Shoppers can find answers faster without typing text-heavy explanations.

Clickable replies to an undelivered package is shown in Gorgias Chat to reduce typing.

Shoppable product cards in messages

Browsing and buying within Chat is now possible. Previously, it only supported product links that would open in a new page. With the upgrade, you can view item details without leaving the conversation. Shoppers can browse, compare products, and add to cart in one place.

AI Agent provides four product recommendations, each with its own clickable product cards.

Product detail pages that open in chat

We’re keeping the context by removing the external redirects. The new interface lets shoppers browse product recommendations right in chat. View key product details, images, descriptions, variants, and pricing without opening a new tab.

View product page details inside Gorgias Chat

Product page questions that remove hesitation

Chat adds clickable questions on product pages — like “Is this true to size?” or “What’s the difference between shades?” — designed to match what a shopper is likely wondering in the moment. These context-aware prompts help remove buying hesitation before shoppers even think to ask.

Cornbread Hemp's product pages includes a list of clickable product questions that open up Chat when clicked.

Instant access to cart and order status

Chat adds instant access to shopper actions, like a cart button and an orders button for returning customers. Shoppers can jump straight to their cart or check on an existing order without waiting for an agent to give them a status update.

Gorgias Chat allows shoppers to view order status as well as cancel orders.

How our redesigned chat improves your bottom line

Every update in Chat drives performance. We didn’t simply give it a makeover, we also fine-tuned its underlying mechanics. 

36% more customers click on products shown in Chat

When product suggestions are easy to browse, shoppers interact with them more. The new product cards make shopping feel natural, allowing customers to explore items at their own pace. That convenience led to a 36% increase in engagement with recommended products.

2.25x more shoppers add products to cart from Chat

Chat keeps the entire shopping journey inside the conversation, from browsing and asking questions, to adding to cart and checking out. This new layout removes the usual tab-switching between chat and the website. Less friction has led to more than double add-to-cart actions than before the redesign.

7.3% more shoppers engage with Chat

Chat's cleaner design and contextual entry points make it easier for shoppers to start a conversation. With suggested questions on product pages and quick reply buttons, more visitors are choosing to engage earlier in their journey. This has resulted in a 7.3% lift in chat engagement.

Your store, now in every conversation

Conversational commerce has moved from concept to reality. Chat makes it part of the everyday shopping experience, letting shoppers browse, ask questions, compare products, and check out in one interaction. It brings the ease of the in-person shopping experience into the digital world.

We built Chat to redefine the shopping experience. We hope you see it reflected in your customers’ journeys. 

Book a demo to see what's possible with the new experience.

min read.
Create powerful self-service resources
Capture support-generated revenue
Automate repetitive tasks

Further reading

Customer experience automation

An Ecommerce Guide to Customer Experience Automation

By Christelle Agustin
8 min read.
0 min read . By Christelle Agustin

TL;DR:

  • Customer experience automation (CXA) can enhance revenue and increase customer satisfaction.
  • CXA platforms convert manual tasks into automatic processes, improving customer service operations.
  • Implementing CXA improves ROI, resolves issues faster, and delivers personalized experiences at scale.
  • Real-world examples show how automation can improve customer experience and boost conversions.

The thought of automating repetitive customer service tasks has likely crossed your mind. But often, that consideration is followed by a train of concerns: Will automation eliminate personal touch? Will it reduce the quality of customer service? Will it replace human agents?

In reality, customer service automation (CXA) can enhance your revenue and increase customer satisfaction.

Read on to learn more about CXA and get four easy ways to automate. We'll also share a story of how one company successfully implemented CXA and gained 23% more conversions.

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What is customer experience automation (CXA)? 

Customer experience automation (CXA) refers to the process of automating and enhancing the interactions that customers have with a business. It involves using automation tools like a helpdesk, Macros, Rules, and artificial intelligence to automate various aspects of customer engagement, from pre-sales and support to the post-purchase stage.

What is a customer experience automation platform? 

A customer experience automation platform is a tool that can convert manual customer experience tasks into automatic processes. CXA platforms aim to alleviate the workload of human customer service agents while optimizing customer service operations.

Gorgias, for instance, is a leading example of a CXA platform, offering a wide range of powerful features, such as:

  • Efficient ticket triage
  • Automated responses across various channels
  • Automated order management
  • Automated emails
  • Smart Article Recommendations via Chat and email
  • Powerful integrations with ecommerce platforms‎

The impact that CXA can have on your customer experience (and bottom line)

Implementing CXA is not just about lightening your team's workload, it's a transformative strategy that greatly influences how customers interact with and perceive your brand. CXA ensures that your team can focus on more intricate interactions, resulting in an improved ROI, increased customer loyalty, and offering personalized experiences at scale.

Improve ROI for your support & experience teams

Customer service agents who have poor impressions of their companies say they don’t have all the tools they need to do their job. Factors like clunky software and insufficient training and processes all contribute to their experience, which, in turn, affects the overall customer experience. 

The solution is to equip agents with powerful tools, like CXA, that will make their jobs easier and your customers’ experiences more enjoyable. Automation and an improved customer service ROI go hand in hand, leading to faster and more profitable customer experiences.

Help customers resolve issues faster

One of the immediate benefits of CXA is faster resolution times. With automation handling routine tasks like resolving where is my order (WISMO) requests and answering pre-sales questions, agents have more time to attend to complex support tickets and meet customer expectations with precise answers.

Deliver more personalized experiences at scale

Most automation skeptics fear losing the human touch once you bring automation into the picture. However, the reality is quite the opposite. A comprehensive CXA strategy allows support teams to express their brand voice and personality through adjustable features like pre-written templates or Macros. If your CXA platform restricts you from customizing default responses, you should find a tool that can adapt to you and your customers.

CXA in action: 4 easy ways to use automation to improve the customer experience

Now that we've covered the theory, it's time for your support team to implement CXA. Below are the top four ways to quickly incorporate customer experience automation using Gorgias Automate. We'll provide details on each feature, offer tips to get the most out of them, and showcase examples of how these strategies have worked for actual merchants.

1) Use Quick Responses to give customers instant answers to simple questions

Quick Responses are predefined replies automatically triggered when customers ask specific questions in Chat.

When to use: For teams who receive a daily flow of frequently asked questions that require them to copy and paste the same responses.

Order Management is toggled in Automate
Activate Order Management in Chat by going to Automate -> Channels.

Tips: 

  • Quick Responses are best for answering FAQs that have straightforward answers and don’t need elaborate explanations
  • Infuse your brand messaging and vocabulary into your Quick Responses to maintain natural interactions with shoppers
  • Always provide a route back to live support channels through email, live chat, phone, SMS, or social media in case customers need more assistance

Real-world results: The stationery company Ohh Deer achieved an impressive average 4.95 CSAT score and generated about $12,500 per quarter after implementing Gorgias Chat alone.

📚 Related: Why customer service chatbots aren’t a great fit for ecommerce

2) Use Tags and Rules to organize and prioritize customer tickets

Take advantage of efficient ticket triage by using Tags and Rules to ensure the most important tickets are addressed and complex tickets are routed to your most knowledgeable agents.

When to use: If urgent tickets (billing issues, product defects, and inquiries from returning customers) are getting buried in your inbox, you have a low retention rate, a high churn rate, or your inbox is disorganized.

Settings for an Urgent Order Edit Rule in Gorgias
This Rule tags tickets from less than two days ago with an “Urgent Order Edit” tag if the message contains the keywords “order/change,” “change,” or “edit.”      

Tips:

  • Create “Urgent” and “Not Urgent” Tags to establish a streamlined prioritization process for agents to follow
  • Use Rules to direct complex tickets to more experienced agents so you avoid compromising resolution times and customer satisfaction
  • Create a Rule to remind agents to follow up on customers who have recently contacted your contact center

Real-world results: Drinkware brand BrüMate cut down their first response time from 5 hours to 1 minute and 30 seconds and drove $9M in revenue after they made use of Chat Campaigns and a Help Center (Gorgias’s customer knowledge base).

Colin Waters, BrüMate’s former Associate Director of Customer Experience, highlights that organizing Tags and Macros by their proper names keeps team onboarding running smoothly. He adds, “I'm very steady with naming conventions. I mean, my team must hate it. But anybody could come in and figure out what it all means without having a doctorate in CX."

3) Automate the order management, tracking, and returns process

Order management, including order creation, tracking, returns, and exchanges, is one of the aspects of customer service that is best suited to automation because of its repetitive nature.

When to use: If you get an influx of WISMO tickets and/or return-related inquiries in your inbox or need to streamline your order workflow.

Order management in Gorgias Chat
With Gorgias Automate, customers can track, return, and cancel their orders within Chat.          

Tips: 

  • Enable tracking, returning, and canceling in Chat to allow customers to quickly check their orders 
  • Automate order status notification emails to trigger after hitting milestones in the entire customer journey, such as order confirmations, order delivery, and post-purchase customer feedback requests
  • Integrate Loop Returns with Gorgias to automate your returns process and create a returns portal

Real-world results: Jaxxon includes their Return Policy in Chat via Quick Responses and maintains an easily accessible Return Portal. By maximizing their self-service resources, they brought in a staggering 46% more in revenue.

Jaxxon
Jaxxon makes their return policy easy to find by adding a Quick Response for it in Chat.          

4) Use AI to recommend Help Center articles 

Your articles shouldn’t only be found in your Help Center; make the most out of your resources by sharing them on multiple channels like Chat and email. Making your articles widespread gains you two benefits: an educated customer base and faster resolution times.

When to use: If you have a high return rate and negative customer reviews or sense a lack of understanding from your customers about your product.

You can create Chat Campaigns to educate browsing shoppers and direct them to a product quiz or Help Center articles.          

Tips: 

  • Insert Help Center articles into customer communications to build anticipation and proactively address issues
  • Create Chat Campaigns to automate the customer education process, offering targeted information and support
  • Scenarios where you can use chat campaigns: holidays and limited-time offers, for customers browsing high-value products, at checkout to reduce cart abandonment

Real-world results: After creating Chat Campaigns that displayed welcome discounts and toilet compatibility checkers to shoppers, TUSHY achieved an impressive 25% increase in revenue and improved customer satisfaction. They also brought their bounce rate down by 37%.

Success story: How Kirby Allison boosted conversions by 23% with CXA

Kirby Allison luxury clothing accessories
         

If the previous real-world examples weren’t enough to convince you about automation’s integral role in CX, here’s another success story. 

Kirby Allison, a luxury garment care business, struggled to handle a growing volume of repetitive and time-consuming tasks. Surviving on a minuscule two-person customer support team, they were drowning in tickets outside business hours.

Once they enlisted the help of Automate, it was a weight off their shoulders. Gorgias’s multifunctional Chat provided 24/7 support with Quick Responses, self-service Order Management, and Article Recommendations.

Immediately, Kirby Allison saw a 46% increase in sales, a 23% increase in conversions, and drastically reduced response times.

If you want to make huge successes easy wins — take the first step towards transforming your customer service and book a Gorgias Automate demo today.

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Customer Effort Score

Why You Need To Monitor Customer Effort Score (& How To Do It)

By Halee Sommer
12 min read.
0 min read . By Halee Sommer

It’s true that a great customer experience is key to winning happy customers — but to keep a pulse on customer satisfaction, you need to dig a little deeper. 

To understand the quality of a customer’s experience with your brand, you need to track Customer Effort Score (CES). This metric lets you evaluate your customer service efforts by tracking the level of effort a shopper must exert to fix an issue with your customer support team.  

In this article, you’ll learn exactly how to track and monitor CES, as well as how to optimize your support strategy to minimize customer effort as much as possible.  

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What is Customer Effort Score (CES)?

Customer Effort Score (CES) is a way ecommerce brands can accurately measure how much effort a customer has to exert in order to interact with your support resources. 

This metric is relevant to any interaction a shopper might have that touches your customer support strategy, like: 

  • Talking with a rep through Live Chat 
  • Navigating a return
  • Answering tricky product questions 
  • Canceling an order in progress 

The easiest way to measure customer effort score is by sending customers a survey after their interaction with customer success ends. In this survey, ask them to rate their service experience on a 1-10 point scale. 

We’ll dive into the details behind how to create a survey to measure the amount of effort your customers take shortly.  

📚 Related: 13 live chat support metrics

Why customer effort is the key to customer loyalty

No shopper wants a high-effort experience. According to The Effortless Experience, 96% of high-effort customer experiences drive a customer to be disloyal to your brand — making retention nearly impossible. 

Customer disloyalty

Clearly, it's worth the effort to make life a little easier for your customers — doing so will convince many of them to shop with your brand again. 

When you calculate your customer effort score, you’re able to keep a pulse on exactly what it takes to create seamless experiences that lead to increased loyalty. The metric is a strong predictor of customer retention and can help identify pain points in your customer support strategy. 

A quick-start guide to measuring CES with surveys

As we mentioned earlier, you can measure customer effort by sending customers a customer effort survey.

In this survey, customers are asked to rate their experience with customer support on a Likert scale from “less effort” to “a lot of effort”. 

Let’s walk step-by-step through how to build a CES survey and how to send them to your customers. Then, we’ll look at how to interpret results once you’ve compiled enough data. 

When to send a CES survey

You can send a CES survey immediately after any customer interaction, like post-purchase.

To zoom in even more on customer effort, consider only sending a CES survey once a shopper has a service interaction with your support strategy, like chatting with a live agent, visiting a self-service portal, or clicking through an interactive FAQ page. 

This way, you’re able to get an accurate idea of how easy, or how frustrating, your support touchpoints are. 

How to create a CES survey

A CES survey typically has one simple question that asks, “How easy was it to solve your problem today?”

Every brand tracks responses a little differently, using a scaled system. Here’s a few examples of different kinds of scales you can choose from: 

Word-based scale

A word-based scale lets respondents share their experience by choosing a word or phrase ranging from “very easy” to “very difficult.” 

CES survey question scale

Sentiment scale

A sentiment scale gives customers the option to share their experience using angry, happy, or sad faces to depict the emotion they felt while seeking support from your brand.

Sentiment scale marked by smiley faces

Numerical scale

A numerical scale lets customers share their experience using a scale of 1 to any number of your choosing. Some brands like a scale of 1 to 10, while others prefer scales of 1 to 5. 

No matter what thresholds you set, 1 should always be the lowest, meaning the worst, and your end number should be the highest, meaning the best. 

It's important to note that no option is better than another. The survey type you choose all depends on your shop’s needs. 

Some brands might also ask an open-ended question as a follow-up so customers can share specific details about their experience. 

You can send a CES survey question through email, SMS, or a similar channel to customers who recently reached out to your support team. 

Of course, you can send a customer effort score question manually, but it takes precious time away from your reps who are busy handling active tickets. Automating the process means your agents can focus on more meaningful work, like following up with disgruntled shoppers. 

Gorgias integrates with Delighted to provide easy-to-use survey templates to automatically distribute customer surveys, including for CES. Once a customer makes a purchase, it triggers Gorgias to automatically send a customer effort score survey to that customer. 

Gorgias product

How to calculate your CES score

Like many other customer service metrics, you want to calculate your average CES in order to get a snapshot view of how most customers perceive their experience with your support resources. 

If you want to calculate customer effort manually, start by tracking response data from your CES surveys over a given period of time. 

The timeframe all depends on your goals. You can look at a month, quarter, half-year, etc. Ultimately, it's more important to be consistent with the timeframes you measure. That way, you can accurately track how your CES changes over time.

Once you’ve collected enough data, plug it into this simple formula: 

Divide the number of customers who agree the interaction was easy by the total number of responses. 

CES formula

To put it in actual numbers, if 100 people responded to your CES survey, and the total sum of their scores amounts to 800, that means your CES score is 8 (out of 10).

What drives a high CES?

Like most other customer service metrics, there is no such thing as a standardized “perfect” benchmark for customer effort. 

That’s because it all goes back to your brand and its goals. What makes sense for your customer effort might not translate to another ecommerce shop. 

As a general rule of thumb, when it comes to CES you want your score to be as high as possible. 

A high CES shows that your support strategy is clear cut and that customers have to exert minimal effort to have their problems resolved. Conversely, a low CES means customers find their experiences with your support resources arduous — putting your brand at risk of a high churn rate. 

The best way to drive a high CES is to provide a painless and straightforward experience. If your CES isn’t quite as high as you’d like it to be, start by asking yourself these questions: 

  • How many touchpoints did the customer have before their issue was resolved? 
  • How long did it take for an agent to respond to a customer ticket? 
  • Are all your links up-to-date for important self-service options like a knowledge base, forum, or FAQ? 
  • Do you agents have access to the resources they need to make well-informed decisions? 

From there, you can look into ways to optimize your support strategy to boost your customer effort score.

How to improve your Customer Effort Score

To improve your customer effort score, you need to build pathways to make it as easy as possible for customers to find the answers they’re looking for. That means decreasing the number of steps it takes for a customer to complete a task and optimizing your first response time.

Research from Genesys shows that 94% of customers intend to make a purchase after a low-effort experience — versus 4% of customers after a high-effort experience. 

Clearly, it’s worth the effort to optimize your customer experience. 

Let’s look at some of the easiest ways ecommerce brands can lower their CES using functions commonly found in helpdesks. 

1) Build out a thorough knowledge base

Customer knowledge base

A knowledge base is a portal, of sorts. It connects your shoppers to both sales and customer service so they can make an empowered purchasing decision. 

The beauty of a knowledge base is that is goes way beyond just a static library of articles. 

BrüMate's Help Center is a learning environment where customers can go to in-depth knowledge about their products. 

BruMate help center

2) Lean on self-service

Customer self service

Customers might not reach out to your agents immediately. 

According to Gartner, 70% of customers seek out self-service options before contacting support. 

Offering more self-service options also means you can deflect low-priority tickets so your agents can focus on solving more challenging customer issues. 

We’ve already discussed a popular self-service option: knowledge bases. Here are some other examples of what customer self-service might look like: 

  • FAQ page: Answer your customers’ most frequently asked questions with key information like operating hours, product availability, pricing, return policy, basic troubleshooting, and more.
  • Forums: Build community among your shoppers and encourage them to talk to each other about their experiences so that they can empower themselves to resolve low-effort problems.  
  • On-demand webinars: Educate your customers with step-by-step tutorials about your brand’s products. Record webinars so that you can publish them as evergreen content on your website for customers to access anytime.  
  • In-product tutorials: Give customers step-by-step instructions in the moment its needed. In-product tutorials are effective at helping customers get value out of your product quickly.

3) Harness automation

Customer service automation

Many of the tickets your agents handle are repetitive. 

Sure, tracking a customer’s order is important, but automation can handle these kinds of straightforward questions for your team. 

In customer service, automation likely won’t replace your hardworking support reps. Rather, automation can work with your teams to improve workflows and optimize communication with your customers by tackling redundant manual work. 

A helpdesk like Gorgias can help you completely automate 60% of repetitive tickets with a 0-second response time.

WISMO

4) Auto-prioritize tickets to reduce response times

Processing emails

Assigning ticket priorities is a best practice to empower your team to become more efficient. But you could spend all day on this task alone.  

Ticket prioritization is another useful form of automation, assigning low-, medium-, and high-value to every incoming request. This way, your team can handle the higher-priority issues first. 

Gorgias comes with advanced intent and sentiment detection features to automatically assign value to incoming tickets based on Rules that you can set. 

Customer intent

5) Use Macros to streamline responses

Macros are another form of automation that optimize a customer support team’s workflow. 

Macros are pre-written, automatic responses to incoming customer requests. 

Gorgias Macros automatically pull customer data into your messages, like name, order number, and shipping addresses. This makes for a more efficient conversation and helps customers get to a resolution with minimal effort for both the customer and the agent. 

Shop2App message in Gorgias

Other important customer experience metrics to consider

Customer effort is a big slice of the pie when it comes to monitoring your customer experience, but it can’t show the whole picture on its own. 

We recommend bolstering your CES efforts with additional metrics in order to add helpful context to your customer support strategy. 

Customer satisfaction metrics such as CSAT score, Net Promoter Score (NPS), and customer churn rate (CCR) can all provide helpful insights into how your support team is performing. 

Plus, it gives you a better look into the customer’s journey, so you can see how shoppers experience your brand — and give you ideas for how to boost satisfaction and drive loyalty. 

Customer Satisfaction (CSAT)

CSAT

Customer satisfaction score (CSAT) is a metric to measure your customer base’s level of satisfaction with their experience. 

The metric is one of the most important measurements your support team can track. Satisfied customers are the key to unlock loyalty, reviews, and referrals, along with returning customers that boost revenue for your brand. 

With Gorgias, you can automatically send a customer satisfaction survey after each interaction with customer support:

Customer satisfaction surveys in Gorgias

Net Promoter Score (NPS)

NPS

Net Promoter Score (NPS) is a commonly tracked metric that lets you learn how likely your customers are to recommend your brand to their friends and family. 

This metric likely correlates closely with your CES. A customer who has had a great experience is likely to want to hype you up to their networks, versus a customer who had to put in a ton of effort to resolve an issue. 

If you optimize your NPS, there’s a good chance your CES will also improve — which can lead to more repeat customers and a boost in customer loyalty. 

Ecommerce Churn Rate 

Ecommerce churn rate

Ecommerce churn rate is the percentage of lost customers your business sees over a given period of time. 

This metric is similar to Customer Churn Rate (CCR), which is typically measured by SaaS or subscription-based B2B companies. These companies can easily see when a customer cancels their subscription, making this data easy to monitor. 

Ecommerce, or online stores, can measure churn rate by looking at negative customer feedback, like a high CES, in order to identify customers at risk for churn. 

Gorgias: Your ecommerce helpdesk to lower Customer Effort Score

A helpdesk like Gorgias has the power to immediately optimize your customer service team — which, as we’ve learned, directly impacts the effort a customer has to exert with your brand. 

Because Gorgias has purpose-built automation features like Chat, Macros, and ticket prioritization, it can empower your customers to find a resolution to their problems as fast as possible. 

Sign up for Gorgias or book a demo to start tracking and improving your customer effort score today!

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Customer Service Management

Customer Service Management: A Complete Guide for Managers

By Evgeni Yordanov
14 min read.
0 min read . By Evgeni Yordanov

Your first priority as a customer service manager should ensure fast, consistent, high-quality support. 

However, good customer service management can be very complex, requiring technical skills and an understanding of many interconnected operational tasks. Strong people and team management skills are the foundation for success. 

In this guide, you’ll learn customer service management and how to improve as a leader. Here’s everything we cover below:

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What is customer service management?

Customer service management is the role of running a customer service team in a way that ensures customer satisfaction, loyalty, and long-term retention. 

This involves various tasks, from hiring agents to ensuring everyone on the team has the necessary tools and resources to do their job. 

We can organize these tasks into two broad categories:

  • People and team management, which we’ll discuss in the next section.
  • Operational management and optimization, which we’ll discuss later in this guide.

What is customer service team management? 

Customer service team management is the collection of actions the customer service manager takes to consistently enable agents to perform their job well. This can include a whole range of activities, including:

  • Hiring agents with the right customer service skills and attitude
  • Training them on how to deal with different customer inquiries
  • Setting standards for individual agents and the team as a whole
  • Providing regular feedback and constructive criticism when necessary
  • Establishing targets, metrics, and KPIs for the customer service team and analyzing agents’ performance based on them

What a smoothly functioning customer service team looks like

As a customer service manager, most of the success of the customer service team rests on you. It’s your job to build the team and the rules, systems, and guidelines agents will use daily. 

A helpful starting point is to learn what a smoothly functioning customer support team should look like. This will help you lay the foundation for effective customer service management.

Easy interdepartmental communication

As with all other team activities, internal communication is the key to success. In a good customer service operation, agents are ready to communicate and have the tools to do so.

For example, Slack, Microsoft Teams, and other chat and video conferencing software should always be available for real-time communication in urgent situations. Asynchronous communication methods like email should be encouraged in other cases. 

As a manager, it’s your job to set clear rules around communication methods in different situations (e.g., no real-time calls where an asynchronous email or Slack message will do). Good communication rules can guarantee that everyone values their colleagues' time and attention.

Clearly defined workflows

A good customer service manager ensures each agent knows:

  • How to handle common inquiries, e.g., where to look for information, when to escalate the issue, etc.
  • What to do in abnormal situations.
  • What’s expected of them in terms of response and resolution times.

The key here is that agents should have this information before they need it. 

💡 Tip: Build a detailed hub of all the essential documents and information your agents need. This can include your customer service policy, refund and return policies, escalation rules, video walkthroughs of challenging situations, and much more.

“Remember, you can't pour from an empty cup –– taking care of yourself is beneficial for you and crucial for your ability to support your customers effectively.” - Eli Weiss, CX Unlocked

Low stress and less risk of burnout

High-stress environments and burnout are all too familiar in customer service. This often stems from understaffing, poor training, or confusing workflows. 

Eli Weiss provides a few great tips for avoiding burnout in his CX Unlocked Guidebook:

  1. Practice mindfulness. Train your team to recognize when they’re starting to feel frustrated. That might look like realizing when a customer’s harsh tone is beginning to bother them, taking a moment, and responding calmly (rather than acting on impulse). 
  2. Create and respect boundaries. Designate “work-free” zones in your life. These could be certain hours of the day, specific locations, or even mental spaces.
  3. Celebrate every win, no matter how small. Boost morale and motivation by reminding your team how amazing they're doing.

Performance tied to specific KPIs

A big part of customer service management is evaluating your team’s performance. The only way to do that fairly is to use specific, measurable key performance metrics (KPIs). This ensures you’re evaluating agents objectively, giving them clarity and goals to aim for. 

For example, response and resolution times are two of the most critical metrics for any support team. Keeping them consistently low shows a well-managed, prepared, appropriately trained team. It also shows that there are enough agents to handle the incoming inquiries.

The better your agents’ time management skills, the faster their response and resolution times will be. As a manager, you can help your team prioritize tickets and reduce the time spent on repetitive tasks with automation (like Rules) and pre-made template resources (like Macros).

Also, remember that while industry-standard KPIs are helpful, you shouldn’t use them just because other organizations do so. All KPIs should be tailored to your customer service and business goals — whether that’s higher customer satisfaction, better customer engagement, more revenue, higher on-site conversion rates, or anything else.

Five most important tips for first-time customer service managers

First-time managers can easily find themselves overloaded with information about customer service management. So, we’ve gathered five essential tips to help you get started.

1) Put your team first

This doesn’t just mean monitoring agents’ performance. It means being there for them when they need you, whether it’s about work or their personal lives. Team members must know they can count on you when it matters.

That’s also why regular 1:1s are essential. They allow you to check in on everyone and detect potential problems early on. 

2) Don’t neglect customer self-service 

Customer self-service combines technology and resources, allowing current and new customers to resolve issues independently. For example, FAQ pages, articles, videos, self-service chatbot flows, and other resources can help massively reduce repetitive support tickets.

Besides being beneficial for your agents, offering self-service is a must for customers. According to Statista, 88% of customers in the US expect companies to provide a self-service support portal. 

3) Fill the valleys before creating the peaks 

Eli quotes this tip from The Power of Moments by Dan and Chip Heath in his guidebook. 

The premise? Focus on finding and fixing the problems your customers face before trying to wow them with exceptional customer service experiences. That way, you’re laying a good foundation for your customer service strategy.

Any customer journey has its low points (i.e., valleys). You can identify these with data analytics or customer feedback. Once you’ve addressed the problems, you can move on to creating the “peaks” that form a truly memorable experience and build customer loyalty.

4) Give agents the techniques, tools, and guidance they need for success

Agents can’t be expected to do their job well without the necessary resources. As their manager, it’s your job to give them:

  • Impactful customer support tools, like a powerful and versatile helpdesk (like Gorgias).  
  • Clear and specific standards and goals, like each customer service channel's expected response and resolution times (if you take an omnichannel approach).
  • Extensive training materials during their onboarding, like articles, videos, workshops, webinars, and more. These should be tailored to each team since call center agents will need different institutions for handling customer requests than ones providing support via written communication channels like email or SMS.
  • Regular feedback, like how well they’re performing, their strengths, and where they can improve.

5) Analyze results and base decisions on reliable data

Customer service is ultimately about people, which makes it easy to let subjective opinions affect your judgment. However, accurate data is a much more reliable gauge of how your team is performing.

It allows you to avoid biases and enables key outcomes like customer satisfaction, loyalty, and retention to guide your decisions. We’ll explore some key metrics that can help you in this regard below.

How to measure your customer service team’s performance

Evaluating the impact of a customer service team can be a complex and nuanced task. There are many factors and metrics to consider, which can easily overwhelm first-time managers.

Below, we’re keeping things simple by focusing on three key ways to gauge your team’s performance.

Tie support tickets to revenue

The best way to get buy-in from stakeholders for your customer service program is to prove its impact on business outcomes. That’s why it’s a good idea to track metrics related to revenue, including: 

This will help you prove customer service ROI and get buy-in for future new hires, software, or training.

Get direct customer feedback

Support interactions can massively impact customers’ overall experience with your brand. It’s crucial to keep a pulse on your customers’ opinions of them, especially since people who rate their experience with a company as very good are 94% more likely to buy again, according to Qualtrics.

You can do this by running regular customer satisfaction surveys. For example, you can run a quick, low-friction survey by asking customers, “On a scale from 1 to 5, how satisfied are you with your experience today?”.

Taking the total number of 4- or 5-star responses, dividing it by the total number of responses, and multiplying the result by 100 will give you a customer satisfaction (CSAT) score — a key metric for measuring support performance.

Customer satisfaction score CSAT calculation formula
Source: Gorgias

Track key customer service performance metrics

You can use many quantifiable metrics to gauge your team’s performance. Here are some of the most widely used ones:

  • First response time (FRT) is the time that elapses between a customer's question and your team’s initial response. Aim to keep FRT as short as possible, especially on real-time channels like live chat and SMS. 
  • Resolution time is the amount of time a customer spends interacting with a business’s customer support, helpdesk, or customer service team before their issue is solved. Like with FRT, the lower your resolution times, the better.
  • Support performance score, which represents the overall performance of your team (or an individual agent). This unique metric we developed for our in-house team at Gorgias combines average first response time, average resolution time, and CSAT. The result is a score between 1 and 5, representing the team’s (or an individual agent’s) performance.

Support performance score Gorgias customer service metric
Source: Gorgias

Like with CSAT scores, Gorgias can track these metrics for you and give you a more nuanced view of them. For example, you can use our software to analyze average resolution time by channels, agents, time frames, and more.

Performance overview on Gorgias
Source: Gorgias

Four essential tools and resources for customer service managers

1) Helpdesk

Helpdesks are platforms that help manage all of your customer service interactions. Collaborate on managing, organizing, responding to, and reporting on customer tickets. Or, set up automation for key processes like ticket prioritization. 

For example, Gorgias can enable your team to:

  • Manage tickets. This can include simple actions like closing, assigning, and resolving tickets. It can also involve more complex automation around ticket tagging, categorizing, and more.
  • Centralize customer communications from multiple channels — like email, SMS, social media, WhatsApp, and live chat. This can drastically simplify agents’ workflows by giving them a unified view of all customer interactions and relevant customer data in one place, so they don’t have to constantly switch between tabs.
  • Implement proactive customer service. For example, your agents can proactively contact customers via a live chat widget to walk them through the purchase process. They can even automate this process and trigger a live chat only in certain situations, e.g., when customers reach specific cart values or linger on a purchase page.

Reactive and proactive customer service
Source: Gorgias
  • Track key metrics and measure support performance. Gorgias can help you monitor response and resolution times, open and closed tickets, CSAT scores, and more.

Statistics Overview on Gorgias
Source: Gorgias

2) Self-service tools 

Customer self-service combines technology and resources that let customers resolve issues independently. 

Self-service is great for your support team and your customers because:

  • Agents don’t have to deal with as many repetitive tickets, which reduces their stress and ensures their focus is on high-value activities. 
  • Customers don’t have to wait for a response from a live agent.

Common self-service resources include:

  • Frequently asked questions (FAQ) pages. One of the simplest resources to create, FAQ pages provide straightforward answers to customer questions. These pages are often grouped together so customers can find what they need by browsing categories or using a search function, as shown in the example below. 

Steve Madden Help Center
Source: Steve Madden
  • Knowledge bases. These interactive portals make it easy for customers to find answers before making a purchase and help them troubleshoot any possible issues afterward. Process Polly’s knowledge base is a good example here — it’s well-organized, helpful, and consistent with the overall brand.

Princess Polly Help Center
Source: Princess Polly
  • Self-service flows. Good self-service flows can help you deflect up to a third of all tickets. They’re projected to save companies $11 billion this year. For example, Gorgias’ self-service flows let you create multistep automated responses to customer questions without engaging an agent.

Chatbot
Source: Gorgias

3) Customer service policies and SLAs

Customer service policies and service level agreements (SLAs) are among the first documents new agents should learn.

  • A customer service policy is an internal document containing your customer service team's fundamental guidelines, rules, and standards. It includes steps for handling common workflows (e.g., refund or return requests), ticket prioritization rules, and standards for response and resolution times.
  • An SLA is an external document that defines the expected service level between your business and your customers. SLAs contain information about your support team’s working hours and their expected response and resolution times on different channels.

Without these documents, customer service agents can’t be expected to do their job well. That’s why ensuring they’re detailed, well-written, and included in each agent’s mandatory training is essential.

4) Practical courses and other training materials

All agents need a solid foundation of knowledge before they can start resolving problems quickly and consistently. 

The specific training topics will differ depending on your business. However, most support courses and training should cover:

  • In-depth product knowledge. All agents should be experts in what your business is selling.
  • Policy and process knowledge, like how to handle return requests, when to grant refunds, and what to do when customers ask for an exchange.
  • Customer service tools used in your company, like your helpdesk software, live chat, customer relationship management (CRM) system, and so on.
  • Tone of voice, phrases to avoid, and other brand-related considerations.
  • Technical skills, like following internal escalation rules.

Customer service training program checklist
Source: Gorgias

Become a better customer service manager with specialized training (and Gorgias) 

As you can see, a lot goes into being a good customer service manager. This guide will give you a good foundation for success in your journey, and you can get even more valuable tips in:

  • The CX Unlocked Guidebook by Eli Weiss. Eli is known for his work around customer experience and retention at DTC brands like OLIPOP and Jones Road Beauty. This book will give you his first-hand experience and help you become a better customer service manager.
  • These 19 best customer service certifications. In this article, you’ll find 19 customer service certifications for different use cases, including certifications for helpdesks, leadership, call center service, and more.
  • The support leader’s guide to customer service training. This guide will walk you through the basics of customer service training and show you 15 practical training activities to try with your team.

Finally, Gorgias can be your centralized customer service software that lays the foundation for a successful customer service management strategy. Our software can help your agents prioritize tickets, save time with automation, drive revenue with proactive customer service, and much more. 

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Ecommerce Customer Service

Ecommerce Customer Service Guide: Scale Without Sacrifice

By Gorgias Team
min read.
0 min read . By Gorgias Team

TL;DR:

  • Ecommerce customer service is support across email, chat, social, phone, and self-service before, during, and after purchase
  • Great support drives more sales, repeat purchases, and positive word-of-mouth
  • Common challenges include seasonal spikes, high expectations, and limited resources
  • Best practices: omnichannel continuity, speed, personalization, and AI automation
  • Measure success with key performance indicators (KPIs) like first response time (FRT), customer satisfaction score (CSAT), and contact rate

Ecommerce customer service is a collection of resources and communication channels that assist shoppers before, during, and after they buy from an online store. It spans every channel where customers reach you — email, chat, social media, phone, and self-service — and every stage of their journey.

Unlike brick-and-mortar retail, you can't read body language or offer a handshake. You need smart systems, fast responses, and the right tools to build trust at scale.

Great support turns browsers into buyers and buyers into loyal fans. This guide covers what ecommerce customer service is, why it matters, and how to build a strategy that drives growth.

What is ecommerce customer service?

Ecommerce customer service combines the power of support agents with self-service resources to assist online shoppers throughout their experience with a brand. It includes everything from pre-sale questions and purchase assistance to post-purchase support like returns, exchanges, and order tracking.

This omnichannel approach means meeting customers where they are across multiple channels:

  • Email
  • Live chat
  • Social media
  • Phone
  • Self-service

Unlike physical retail, ecommerce support relies entirely on digital channels. Instead, you need organized systems to deliver seamless customer experiences at scale. This includes clear ticketing and escalation paths, defined service level agreements (SLAs), and effective self-service deflection strategies.

Why ecommerce customer service matters for growth

Customer service dictates your customers' entire experience with your brand. Pairing a memorable experience with a product that resonates with people is the key to attracting repeat customers. Great support isn't just a cost center. It's a revenue driver that impacts your bottom line in measurable ways.

More sales and higher average order value

Real-time support answers questions that prevent cart abandonment and helps browsers complete their purchases. When agents engage shoppers during key decision moments, they can recommend complementary products or higher-tier options, directly increasing your AOV (average order value) and conversion rate.

Repeat customers and loyalty

Positive support experiences drive repeat purchases and build long-term customer relationships. This directly impacts customer lifetime value (CLTV) and retention rates. Repeat customers also cost less to serve than new acquisitions, making them more profitable over time.

Social proof and word-of-mouth

Exceptional service leads to positive reviews, testimonials, and referrals. This social proof builds brand reputation and drives organic growth through word-of-mouth recommendations. Happy customers become your most effective marketing channel.

Competitive differentiation

In crowded ecommerce markets where many brands compete solely on price or product features, exceptional customer service becomes a key differentiator. When customers can buy similar products anywhere, the quality of support often determines where they choose to shop.

What customers expect (+ common challenges)

Modern shoppers have high expectations shaped by experiences with industry leaders. Understanding what customers want and the obstacles support teams face helps you build a strategy that delivers.

Understanding modern customer expectations

Today's customers expect:

  • Fast responses, especially on real-time channels like chat
  • Consistent experience across all channels (omnichannel parity)
  • Personalized support based on order history and past interactions
  • Transparent policies on shipping, returns, and refunds

Common challenges for ecommerce support teams

Support teams regularly face:

  • Seasonal volume spikes during BFCM (Black Friday, Cyber Monday) and holidays (peak seasonality)
  • Product issues outside the team's control, like supplier defects or shipping delays
  • High return rates requiring efficient processing
  • Limited staffing and budget constraints

Core ecommerce support channels

Effective ecommerce customer service means meeting customers where they are. Each channel serves different needs and customer preferences, and the best support strategies use multiple channels in coordination.

Live chat and messaging

Live chat provides real-time, widget-based conversations on your website, ideal for shoppers with immediate questions during browsing or checkout. Asynchronous messaging through platforms like WhatsApp, Facebook Messenger, and Instagram DMs lets customers reach you on their preferred apps and continue conversations over time. Chatbots offer always-on support for common questions, deflecting simple inquiries and freeing human agents for complex issues.

Email and social media

Email remains the traditional asynchronous channel for detailed inquiries, order issues, and documentation. Social media platforms like Instagram, Facebook, and X serve as public-facing support channels where response speed matters — slow replies are visible to potential customers. This social care requires balancing helpfulness with brand reputation management.

Phone and SMS

Phone support (voice) works best for complex or high-value issues where real-time conversation adds value. SMS serves different needs — order updates, shipping notifications, and quick check-ins. CTI (computer telephony integration) connects your phone system with your helpdesk, giving agents full customer context during calls and enabling features like click-to-call and automatic call logging.

Self-service and FAQs

Self-service options like a Help Center, knowledge base, or FAQ section empower customers to find answers independently. When done well, self-service reduces ticket volume significantly (deflection) while giving customers instant answers. The key is making content searchable, well-organized by category, and easy to access from anywhere on your site.

Ecommerce customer service best practices

I'm Eli Weiss, the Senior Director of Customer Experience & Retention at Jones Road Beauty and a proud Gorgias Ambassador. After working in customer experience roles for almost a decade, I've learned the best ways to build strong customer relationships and teach teams to do the same. Below are the core practices that separate good support from great support.

Omnichannel continuity

Customers expect to start a conversation on one channel and continue it on another without repeating themselves. This requires omnichannel orchestration — a unified customer view that tracks conversation history, order details, and preferences across all touchpoints. Tools that provide a unified inbox make this possible by centralizing all customer conversations in one place, regardless of where they originated.

Speed and personalization

Fast response times matter. Track your first response time (FRT) and set realistic SLAs based on channel and team capacity. Use Macros — pre-written response templates — to handle common questions quickly without sacrificing quality.

But speed alone isn't enough. Personalization using order history and customer data dramatically improves your customer satisfaction score (CSAT). Regular quality assurance (QA) ensures your team maintains high standards, even when automating responses.

How AI and automation scale ecommerce support

AI and automation handle repetitive tasks so human agents can focus on complex, high-value interactions. The key is knowing which tasks to automate and how to maintain quality through proper guardrails.

Core use cases include:

  • Auto-triage: Automatically routing tickets to the right team based on content and urgency
  • Intent detection: Identifying what customers need from their message (refund, tracking, product question)
  • Deflection through self-service: Surfacing relevant Help Center articles before creating a ticket
  • AI drafts: Generating response suggestions based on knowledge base content and past interactions

Effective automation includes escalation rules that route sensitive topics to human agents and excluded topic lists for issues requiring personal attention. This ensures customers get the right level of support for their specific needs.

CarParts.com used centralized automation to cut response times and handle millions of global customer inquiries without adding headcount.

Choosing your ecommerce help desk and tool stack

Your help desk serves as mission control for customer conversations. The right platform makes everything easier — the wrong one creates bottlenecks and frustration.

Look for these key features:

  • Ticketing and routing
  • Automation and Macros
  • Reporting and analytics
  • Omnichannel support (email, chat, social, phone)
  • Ecommerce integrations (Shopify, shipping, returns)

Strong integrations with your ecommerce platform, shipping providers, returns management, and subscription tools are essential. A unified inbox consolidates all customer messages regardless of channel. Order context — the ability to view and edit order details directly from tickets — eliminates tab-switching and speeds up resolution times.

If you're in search of ecommerce customer service software, give Gorgias a try. Gorgias is designed specifically for ecommerce businesses and their customer support needs, with deep Shopify integration and purpose-built tools for online retailers.

MyBoatStore consolidated all marketplace messages into one dashboard, restoring their pre-pandemic customer service reputation during a support surge.

Key performance indicators (KPIs) to track ecommerce customer service performance

You can't improve what you don't measure. Track these core metrics to understand performance and identify areas for improvement:

  • First response time (FRT): How quickly your team replies to new inquiries
  • Average response time (ART): Average time to respond across all messages
  • Average handle time (AHT): Total time to resolve a ticket from start to finish
  • First contact resolution (FCR): Percentage of tickets resolved on first reply
  • Customer satisfaction score (CSAT): How satisfied customers are with support
  • Net promoter score (NPS): How likely customers are to recommend your brand
  • Customer effort score (CES): How easy it is for customers to get help
  • Contact rate (tickets per order): Number of support tickets per order placed
View revenue statistics on Gorgias

Find out if excellent customer service is paying off with Gorgias's Revenue Statistics which shows you stats in real time.

Your ecommerce customer service strategy: where to start

Building a customer service strategy from scratch can feel overwhelming. Focus on these foundational steps:

  • Document SOPs (standard operating procedures) and runbooks for common scenarios like refunds, exchanges, and shipping delays
  • Define coverage hours and response time goals (SLAs) based on your team capacity and customer expectations
  • Set up systems to collect customer insights through tagging, surveys, and feedback loops
  • Choose KPIs to track progress and identify trends over time
  • Decide whether to outsource or build an in-house team based on complexity, volume, and budget

Examples of great ecommerce customer service

Learning from brands that excel at support helps you understand what's possible and identify tactics worth adopting.

Glossier offers omnichannel support across email, chat, direct messages, and even FaceTime consultations. They personalize experiences by including product samples based on past purchases, turning support interactions into discovery moments.

Zalando provides localized support in multiple languages across European markets with policies tailored to each region. This market-specific approach accounts for different customer expectations and regulatory requirements.

ASOS maintains a comprehensive self-service help center with clear navigation and search functionality, complemented by straightforward escalation to human support when customers need more help.

It starts with one improvement, the rest will follow

Great ecommerce customer service drives growth, not just satisfaction. It turns browsers into buyers, buyers into repeat customers, and satisfied customers into brand advocates. The brands winning on customer experience treat support as a strategic advantage, not an operational necessity.

Start by auditing your current support setup. Identify gaps in your channel coverage, response times, and automation capabilities. Choose one improvement area and implement it systematically before moving to the next.

Ready to scale your ecommerce customer service without sacrificing quality? Book a demo to see how Gorgias helps brands automate support and drive revenue.

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Customer Service Strategies

Customer Service Strategies: The Practical Guide for High-Growth CX Teams

By Gorgias Team
15 min read.
0 min read . By Gorgias Team

TL;DR:

  • Customer service strategies are comprehensive plans that align people, processes, and technology to deliver consistent, high-quality support
  • Modern strategies balance human expertise with AI automation to scale efficiently
  • Key focus areas include agent training, omnichannel support, personalization, and continuous improvement
  • Success requires measuring the right KPIs and acting on customer feedback
  • Ecommerce brands need strategies tailored to high-volume, digital-first customer interactions

Customer service strategies are comprehensive plans that guide how your team interacts with customers across every touchpoint. In ecommerce, where customer expectations are higher than ever, a clear strategy is what separates brands that scale from brands that struggle. This guide covers the core elements of an effective customer service strategy. We'll explore the people that power your team, the tools that enable great service, and the metrics that help you improve. For ecommerce brands, that means strategies built around high-volume support, AI-enabled automation, and deep integration with your commerce stack.

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Why customer service strategies matter

Customer expectations in ecommerce have shifted. Shoppers expect fast, personalized, and seamless support across every channel.

When you deliver that experience, you build loyalty and drive repeat purchases. When you don't, customers leave.

A clear customer service strategy connects your support operations to business outcomes. It ensures every interaction moves the needle on metrics that matter, from customer satisfaction to retention to revenue.

For ecommerce brands, the stakes are even higher. Your customers have endless options, and switching costs are low. Great service is often the only thing that keeps them coming back.

Business impact: CSAT, NPS, retention, and CLV

CSAT (customer satisfaction score) measures how satisfied customers are with a specific interaction. It's typically measured via post-interaction survey and gives you immediate feedback on service quality.

NPS (net promoter score) measures customer loyalty and likelihood to recommend. It's a leading indicator of growth — customers who are promoters stick around and bring others with them.

Retention rate and CLV (customer lifetime value) show the long-term impact of service quality. Customers who have great support experiences are more likely to stay and spend more over time. In Gorgias's data from 12,000+ merchants, repeat customers make up 21% of buyers but contribute 44% of revenue and 46% of orders.

People and process

Your technology stack matters, but your people matter more. The best customer service strategies invest in training, coaching, and creating a culture where agents feel empowered to solve problems and delight customers.

Agent training and coaching

Ongoing training ensures agents stay sharp on product knowledge, policies, and tools. It's not a one-time onboarding task — it's a continuous investment.

Coaching is where training meets performance. Use QA reviews and call monitoring to identify coaching opportunities, then work with agents to close gaps in knowledge or skills.

Great training programs cover both hard and soft skills. Agents need to know your products and systems, but they also need to know how to communicate clearly, de-escalate tense situations, and solve problems creatively.

Training topics:

  • Product and policy knowledge
  • System and tool proficiency
  • Communication and de-escalation techniques
  • Upselling and cross-selling fundamentals

Soft skills and empathy

Technical skills get agents in the door, but soft skills keep customers happy. Empathy, active listening, and clear communication are what turn a transactional support interaction into a relationship-building moment.

Empathy doesn't mean agreeing with every customer complaint. It means understanding where they're coming from and showing that you care about solving their problem.

Invest in soft skills training just as much as product training. Role-play tough conversations, practice active listening, and create space for agents to reflect on what's working and what's not.

Key soft skills:

  • Active listening
  • Empathy and emotional intelligence
  • Clear communication
  • Problem-solving and critical thinking
  • Patience and composure

Tools and tech stack

The right tools amplify your team's impact. A modern customer service tech stack centralizes customer data, automates repetitive tasks, and gives agents the context they need to deliver fast, personalized support.

AI and automation for efficiency

AI and automation handle the repetitive work that bogs down your team. Chatbots answer common questions, intent detection routes tickets to the right agent, and agent assist tools suggest replies based on past interactions.

The goal isn't to replace human agents — it's to free them up for the work that requires judgment, creativity, and empathy. AI handles the routine, humans handle the complex.

For ecommerce brands, AI can also drive revenue. Chatbots can recommend products, upsell based on purchase history, and even process orders directly in chat. Gorgias AI Agent, for example, automates up to 60% of support interactions while maintaining the brand voice and accuracy that customers expect.

AI use cases:

  • Automated responses to common questions
  • Intent detection and ticket routing
  • Agent assist and suggested replies
  • Self-service through chatbots
  • Sentiment analysis and escalation

CRM integration and personalization

Personalization starts with data. When your helpdesk integrates with your CRM and ecommerce platform, agents see a complete view of each customer: past purchases, support history, preferences, and more.

That context lets agents tailor their responses. Instead of generic replies, they can reference specific orders, recommend products based on past purchases, and adjust their tone based on customer segment.

CRM integration also connects support to revenue. Agents can upsell and cross-sell based on purchase history, offer personalized discounts, and even create orders directly from the helpdesk.

Personalization tactics:

  • Reference past purchases in conversations
  • Tailor product recommendations
  • Adjust tone based on customer segment
  • Proactive outreach for high-value customers
  • Upsell and cross-sell based on history

Channels and self-service

Customers expect to reach you on their terms—whether that's email, chat, social media, or SMS. A strong channel strategy meets them where they are and maintains context across every interaction.

Omnichannel support

Omnichannel support means providing consistent service across every channel your customers use. It's not just about being present on multiple channels — it's about preserving context when customers switch between them.

For ecommerce brands, that typically means email, live chat, social media, SMS, and voice. Each channel has its own expectations: customers expect fast responses on chat, detailed answers on email, and public-facing replies on social.

The key is routing and context. Use automation to route tickets to the right team based on channel, topic, and priority. Make sure agents can see the full conversation history, no matter where it started.

Key channels:

  • Email
  • Live Chat
  • Social media (Instagram, Facebook, Twitter)
  • SMS and messaging apps (WhatsApp)
  • Voice

Ohh Deer specializes in creating quirky, eye-catching stationery, gifts, and homeware. To provide a seamless customer experience, they integrated Gorgias Chat to centralize support channels like Instagram, Facebook, Twitter, email, phone, and Live Chat, increasing efficiency and revenue. This omnichannel approach contributed to a high average CSAT score of 4.95 and an additional $12,500 USD quarterly revenue.

Gorgias helpdesk with a view of Shopify customer sidebar

Knowledge base and community

Self-service empowers customers to find answers on their own, without waiting for an agent. A well-organized Help Center, searchable FAQs, and community forums let customers solve simple problems instantly.

Self-service also reduces ticket volume, which frees up your team to focus on complex issues. The goal is ticket deflection — answering questions before they become tickets.

Keep your knowledge base up to date. Use support ticket data to identify gaps, then create articles that address those topics. Consider adding video tutorials, community forums, and chatbots that recommend relevant articles.

Self-service components:

  • Searchable Help Center
  • FAQ pages
  • Community forums
  • Video tutorials
  • Chatbot with article recommendations

Loop Earplugs leverages Gorgias to improve their customer self-service experience. This automation has decreased WISMO ("where is my order") inquiries from 17% to 5%, allowing customers to independently check shipping statuses, freeing up customer service agents for more complex issues and revenue-generating activities.

Loop Earplugs uses Gorgias's chat widget

Loop Earplugs automatically answers customer questions with Gorgias's chat widget and Flows feature.

Measure and improve

You can't improve what you don't measure. Track the right KPIs, run regular QA reviews, and build feedback loops that turn customer insights into action.

KPIs and quality assurance

Start with the metrics that matter most to your business. Common KPIs include CSAT, NPS, first contact resolution, average handle time, and customer effort score. Each one measures a different aspect of service quality.

Use QA to ensure consistency. Review a sample of tickets each week, score them against your quality standards, and share feedback with agents. QA also helps you identify coaching opportunities and process gaps.

Don't just track metrics — act on them. If CSAT drops, dig into the root cause. If AHT spikes, look for process inefficiencies or knowledge gaps.

KPI

Definition

CSAT

Measures customer satisfaction with a specific interaction

NPS

Measures customer loyalty and likelihood to recommend

FCR

Percentage of tickets resolved on first contact

AHT

Average time spent on each ticket or call

CES

Measures how easy it was for customers to get help

Time-to-resolution

Average time from ticket creation to closure

SMART goals and VoC loop

Set specific, measurable goals using the SMART framework: Specific, Measurable, Achievable, Relevant, and Time-bound. Instead of "improve CSAT," aim for "increase CSAT from 85% to 90% by end of quarter."

VoC (voice of customer) programs capture feedback from multiple sources: post-interaction surveys, social media, review sites, and support ticket analysis. The goal is to understand what customers really think and feel.

Close the loop by acting on feedback. If customers complain about slow response times, prioritize speed. If they mention confusing policies, update your Help Center. VoC is only valuable if you use it to drive change.

VoC feedback sources:

  • Post-interaction surveys
  • Social media monitoring
  • Review sites
  • Support ticket analysis
  • Customer interviews

See how Gorgias helps ecommerce brands implement these strategies at scale. Our platform centralizes customer interactions, automates repetitive work, and gives your team the context they need to deliver personalized support.

Book a demo to learn more.

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Repeat Customer Rate

Repeat Customer Rate: Your Guide to Track & Improve the Metric

By Megan Wenzl
8 min read.
0 min read . By Megan Wenzl

Written in partnership with Okendo

Repeat customers are a revenue-boosting engine in the world of ecommerce. 

According to data from Gorgias’s merchants, repeat customers generate 300% more revenue than first-time customers. The small act of winning back a customer has a huge impact on your brand.

That’s why it's important for brands to understand repeat customer rate (RCR), or the percentage of customers who shop with your brand beyond a one-time transaction. 

In this article, you’ll learn how to track and measure repeat customer rate for your brand, along with tips to boost purchase frequency and improve RCR among your shoppers. 

Repeat customers generate 300% more revenue than first-time customers

What is repeat customer rate?

Repeat customer rate (RCR) is a key metric used by retailers to measure the percentage of shoppers who make multiple transactions over their customer lifetime. 

In ecommerce marketing, you may see this metric go by a few other names, including returning customer rate, customer retention rate, or repeat purchase rate. 

Why winning repeat customers is so critical in ecommerce

If you want a major revenue win for your brand, look no further than your own customer base. 

The benchmarks for a typical RCR vary by market, but data collected from Gorgias's 12,000+ merchants shows that repeat customers account for only 21% of customers but generate 44% of revenue and 46% of orders. 

Repeat customers can give you more revenue than new customers.

If that wasn’t compelling enough, retaining an existing customer is five times less expensive for a brand than finding a new customer. 

📚 Recommended reading: 25 customer support metrics to measure your team’s impact & how to calculate

First-time shoppers have a higher acquisition cost than retaining loyal customers

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What drives repeat customer rate?

To entice customers to come back, brands work to provide incredible experiences throughout a customer’s entire journey.


“My biggest piece of advice is to really understand the customer journey for your business,” says Bri Christiano, Director of Customer Support at Gorgias. “Which touchpoints are going to drive the most revenue?”

For online stores, customer support acts as a vital touchpoint. Build an iron-clad retention strategy, and you’ll see customer satisfaction soar, including boosted conversion rates and repeat business. 

How to calculate repeat customer rate

Repeat customer rate is very simple to calculate, but getting started takes a little pre-work. 

To calculate RCR, you first need to track the number of repeat customers you have over a specific time period. 

Of course, this can be done manually by combing through transactional data, but it would mean days of looking through customer information with a fine-tooth comb. Plus, since customer data is always coming in, you might never see the full picture.

A helpdesk like Gorgias can automatically find repeat customer data for you so you can focus your energy on ways to improve your RCR. 

Once you’ve collected your returning customers, divide the number of repeat customers by your total number of customers. Then, multiply that number by 100. 

The formula for RCR looks like:

(Total repeat customers / total paying customers) x 100 = RCR

Here’s what calculating RCR looks like using real numbers:

(80 repeat customers / 230 paying customers) x 100 = 34.78%

What is a “good” repeat customer rate in ecommerce? 

Like many customer support metrics, there’s no specific benchmark for a “good” repeat customer rate. Ultimately, it all comes down to your brand’s goals, along with factors like industry, audience needs, and the size of your ecommerce business.

The key to returning customer rate is to strike a balance between customer acquisition of new shoppers and re-engaging with existing customers. 

Based on Gorgias’s own first-party data with our merchants, we estimate that a 20% increase in customer base can boost your brand’s revenue by 6%. 

RCR works well in tandem with a few other metrics to determine the actual value of your marketing efforts: 

  • Customer Lifetime Value (CLV): How much money a customer will likely spend on your products over a specific timeframe. 
  • Customer Acquisition Costs (CAC): How much it costs your brand to obtain a new customer versus retaining existing ones. 
  • Average Order Value (AOV): The amount of money your customers spend per transaction. 
  • Churn Rate: The percentage of customers your brand loses over time.  

6 steps to improve your repeat customer rate

In a recent study, HubSpot found that 93% of customers were more likely to become repeat customers with brands they believe have excellent customer service.

What characterizes excellent customer service? These days, it’s personalization that incentivizes customers to keep coming back. 

Let’s look at six tried-and-true steps to create a positive, personalized shopping experience that will encourage your customers to return for more. 

1) Build a strong post-sales experience

A customer’s journey doesn’t end when they click checkout. 

The post-sales, or post-purchase, experience is a prime moment to keep a customer thinking about your brand or products long-term. 

Post-sales can also lead to better brand trust, a critical factor in gaining loyal customers. Bri says, “You're catching that person at a point where they're feeling really energized about the brand.”

The customer service team at TUSHY realized a post-sales strategy was exactly what they needed to close a knowledge gap around their bidets. They found customers who bought a bidet needed help understanding how to install them.

TUSHY post-purchase email

Reps were able to communicate with customers that installing a TUSHY bidet wasn’t a major plumbing project by creating an omnichannel support strategy with email, social media, SMS, live chat, FAQs, and a robust Help Center.  

2) Reduce response times

We noticed an interesting customer service trend: 90% of US customers say an immediate customer service response is “important” or “very important.” 

To give your customers a near-instant response, consider these ideas that not only boost customer satisfaction but can reduce the load on your support team. 

Automate repetitive questions

According to McKinsey, 71% of shoppers want personalized interactions with support teams, and 76% are frustrated when they don’t receive one.  

But a team stuck repeating return policies or tracking down orders doesn’t have much time to personalize a well-thought-out response.  

Gorgias Automate can help deflect up to 60% of your chat ticket volume by automating responses to repetitive questions. It works by sending personalized answers to customers based on their unique Shopify data.

Use a helpdesk to prioritize tickets 

You never want to leave a frustrated customer waiting. A helpdesk like Gorgias can automatically assign priority levels to your incoming tickets so agents know exactly which tickets to respond to first. 

Quickly resolving a frustrated customer’s problem could be just the thing to turn the negative interaction into a positive one that makes the customer want to come back again. 

Low, medium, and high-priority support tickets

Drive support traffic to your preferred channels

Customers prefer to have multiple ways to get in touch with your support team. However, some channels have longer response times than others. 

Customers who send a support request via email might fear their problem is lost in the void. Use slower channels as a springboard to push customers to faster channels, like SMS or Live Chat.

Example of an email directing customers to faster channels.

📚 Recommended reading: First response time: your guide to understand + lower the metric

3) Collect customer feedback 

Customer feedback is your golden ticket to creating great experiences that encourage repeat shopping. 

Customers have high expectations for brands these days — and without customer feedback, you’re stuck in the dark about how to meet those expectations. 

Here are a few ideas for your team to collect customer feedback and improve your brand experience: 

  • Monitor customer reviews to find out what actual customers are saying about you. Gorgias customers can manage reviews by integrating with Yotopo, which allows users to track and respond to reviews in a central space. If the feedback you see is positive, that’s a sign your team is in the right direction. If it’s negative, use the feedback to look for areas of improvement.

  • Send out surveys to shoppers using a customer marketing platform like Okendo. CSAT helps gather general customer satisfaction. Likewise, you can offer an NPS survey to determine how likely customers would recommend your brand to their friends.

  • Build questions into your customer support scripts so agents can talk directly to customers about their experience. Your agents can find out if there are any gaps in the customer journey or reasons why the customer had a negative experience.

  • Implement a customer feedback loop to tie your tactics into a cohesive strategy. 

4) Create loyalty programs

Customer loyalty programs encourage customers to stay engaged with your brand after their initial purchase — which can dramatically boost your repeat customer rate. 

A loyalty program works by rewarding customers for shopping with your brand and incentivizing them to want to come back. It also shows your customers that you value the relationship. 

Consider also offering incentive-based referral programs to reward customers for sharing your brand and products with their friends. 

Software solutions such as Smile.io and LoyaltyLion make it incredibly easy to build a customer loyalty program from the ground up. Best of all, these options both integrate with Gorgias to pull loyalty customer data into your helpdesk. 

5) Offer discounts

So many people hear the word “discount” and get scared for their bottom line. In reality, a sale or deal is just the thing to sweeten the pot and entice a customer to return for more. 

That’s because a discount creates the perception of value in the hearts and minds of your customers. Remember how often you offer a deal since many customers will only buy with a discount.

A helpdesk, like Gorgias, can help you automate the process of giving a discount once you pinpoint great moments to offer them to customers. 

  • Add a discount to your confirmation email to send to customers who recently completed a transaction. 
  • Leverage SMS messaging to send a small discount to customers who purchased in the last month. 
  • Use live chat to message a customer who added an item to their carts but moved it to “saved for later” or outright deleted it. 

Find out what went wrong, offer a new product recommendation, and a small discount to entice the customer to return to their cart and complete a new transaction. 

6) Upsell and cross-sell relevant products

For ecommerce brands, upselling is a tactic to encourage customers to purchase a higher-priced item instead of the one they initially selected. 

At its simplest, it’s a way to convince a customer to spend more money on an item.

An example of upselling starting with a basic camera and a higher-end model.

Cross-selling is a similar sales tactic where you can strategically recommend add-ons related to whatever the customer has put in their cart. 

An example of cross-selling starting with a camera which can lead to film and battery sales.

With upselling and cross-selling, the goal is the same: create higher ticket value, encourage greater sales, and improve customer satisfaction.  

Okendo recently launched a feature called Quizzes to provide personalized shopping experiences. 

With Quizzes, brands can ask their shoppers questions to make product recommendations and help customers make fast purchasing decisions.

Invest in a helpdesk to win more repeat customers

You could spend hours scrolling through transaction lines, physically track repeat customers, and manually build marketing campaigns to follow up with customers. 

Or, invest in a helpdesk to automate these processes for you. That way, you can focus on building a customer experience that incentivizes customers to shop beyond their first purchase. 

Ready to learn how to optimize your returning customer rate and maximize your company’s bottom line? Check out our CX growth playbook, a free resource that dives into:

  • 18 tactics to boost profitability by 44%
  • 25+ interviews with top ecommerce stores
  • Analysis of +12,000 Gorgias customers.

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Black Friday–Cyber Monday: Automation

How to Prep for Peak Season: BFCM Automation Checklist

By Christelle Agustin
19 min read.
0 min read . By Christelle Agustin

TL;DR:

  • Start by cleaning up your Help Center. Update your articles based on last year’s data, using plain language and clear policy details to boost self-service.
  • Use automations to streamline ticket routing and support efficiency. Set rules for tagging, escalation, and inbox views, so your team can respond faster.
  • Prep your macros, AI, and staffing plan in advance. Build responses for top FAQs, train AI on the right sources, and forecast agent needs to avoid burnout.
  • Automate logistics, upselling, and QA to stay ahead. From showing shipping timelines to flagging low-quality responses, automation ensures smooth operations and more revenue during peak season.

Getting ready for that yearly ticket surge isn’t only about activating every automation feature on your helpdesk, it’s about increasing efficiency across your entire support operations.

This year, we’re giving you one less thing to worry about with our 2025 BFCM automation guide. Whether your team needs a tidier Help Center or better ticket routing rules, we’ve got a checklist for every area of the customer experience brought to you by top industry players, including ShipBob, Loop Returns, TalentPop, and more. 

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2025 BFCM automation checklist

  • Tidy up your Help Center
    • Audit your docs
    • Review last year’s BFCM data to find your must-have articles
    • Update your policy details
    • Edit content using easy-to-understand language
  • Expedite your ticket routing automations
    • Set up automated ticket tags
    • Create an inbox view for each category
    • Set escalation rules for urgent tickets
    • Set up mandatory Ticket Fields
  • Prep your macros and AI agent
    • Write macros for your top FAQs
    • Train your AI on the right sources
    • Define the limits of what AI should handle
  • Forecast your BFCM staffing needs
    • Use ticket volume to estimate the number of agents
    • Plan extra coverage with automation or outsourcing
    • Run agent training sessions on BFCM protocols
  • Map out your logistics processes
    • Negotiate better rates and processing efficiencies
    • Automate inventory reorder points
    • Build contingency plans for disruptions
    • Show shipping timelines on product pages
  • Maximize profits with upselling automations
    • Guide shoppers with smart recommendations
    • Suggest alternatives when items are out of stock
    • Engage hesitant shoppers with winback discounts
  • Keep support quality high with QA automations
    • Automate ticket reviews with AI-powered QA
    • Track both agent and AI responses
    • Turn QA insights into coaching opportunities

Tidy up your Help Center

Your customer knowledge base, FAQs, or Help Center is a valuable hub of answers for customers’ most asked questions. For those who prefer to self-serve, it’s one of the first resources they visit. To ensure customers get accurate answers, do the following:

  • Audit your docs
  • Review last year’s BFCM data to find your must-have articles
  • Update your policy details
  • Edit content using easy-to-understand language

1. Audit your docs

Take stock of what’s currently in your database. Are you still displaying low-engagement or unhelpful articles? Are articles about discontinued products still up? Start by removing outdated content first, and then decide which articles to keep from there.

Related: How to refresh your Help Center: A step-by-step guide

2. Review last year’s BFCM data to find your must-have articles

Are you missing key topics, or don’t have a database yet? Look at last year’s tickets. What were customers’ top concerns? Were customers always asking about returns? Was there an uptick in free shipping questions? If an inquiry repeats itself, it’s a sign to add it to your Help Center.

3. Update your policy details 

An influx of customers means more people using your shipping, returns, exchanges, and discount policies. Make sure these have accurate information about eligibility, conditions, and grace periods, so your customers have one reliable source of truth.

Personalization tip: Loop Returns advises adjusting your return policy for different return reasons. With Loop’s Workflows, you can automatically determine which customers and which return reasons should get which return policies. 

Read more: Store policies by industry, explained: What to include for every vertical

4. Edit content using easy-to-understand language

Customers want fast answers, so ensure your docs are easy to read and understand. Titles and answers should be clear. Avoid technical jargon and stick to simple sentences that express one idea. To accelerate the process, use AI tools like Grammarly and ChatGPT. 

No time to set up a Help Center? Gorgias automatically generates Help Center articles for you based on what people are asking in your inbox.

Princess Polly Help Center
Princess Polly’s Help Center is powered by Gorgias.

Expedite your ticket routing automations

Think of ticket routing like running a city. Cars are your tickets (and customers), roads are your inboxes, and traffic lights are your automations and rules. The better you maintain these structures, the better they can run on their own without needing constant repairs from your CX team. 

Here’s your ticket routing automation checklist:

  • Tag every ticket
  • Create views for each category you need (VIP, Returns, Troubleshooting, etc.)
  • Set escalation rules for urgent tickets
  • Set up mandatory Ticket Fields 

1. Set up automated ticket tags

Instead of asking agents to tag every ticket, set rules that apply tags based on keywords, order details, or message type. A good starting point is to tag tickets by order status, returns, refunds, VIP customers, and urgent issues so your team can prioritize quickly.

Luckily, many helpdesks offer AI-powered tags or contact reasons to reduce manual work. For example, Gorgias automatically detects a ticket’s Contact Reason. The system learns from past interactions, tagging your tickets with more accuracy each time.

Rule that auto tags tickets with "VIP" when customers have spent $1,000+ and ordered 3+ times
This rule auto-tags tickets with “VIP” when customers have spent $1,000 and have ordered more than three times.

2. Create an inbox view for each category

Custom or filtered inbox views give your agents a filtered and focused workspace. Start with essential views like VIP customers, returns, and damages, then add specialized views that match how your team works.

If you’re using conversational AI to answer tickets, views become even more powerful. For example, you might track low CSAT tickets to catch where AI responses fall short or high handover rates to identify AI knowledge gaps. The goal is to reduce clutter so agents can focus on delivering support.

3. Set escalation rules for urgent tickets

Don’t get bogged down in minor issues while urgent tickets sit unanswered. Escalation rules make sure urgent cases are pushed to the top of your inbox, so they don’t risk revenue or lead to unhappy customers. 

Tickets to escalate to agents or specialized queues: 

  • Lost packages
  • Damaged items
  • Defective items
  • Failed payments
  • Open tickets without a follow-up

4. Set up mandatory Ticket Fields to get data right off the bat

Ticket Fields add structure by requiring your team to capture key data before closing a ticket. For BFCM, make fields like Contact Reason, Resolution, and Return Reason mandatory so you always know why customers reached out and how the issue was resolved.

For CX leads, Ticket Fields removes guesswork. Instead of sifting through tickets one by one, you’ll have clean data to spot trends, report on sales drivers, and train your team.

Pro Tip: Use conditional fields to dig deeper without overwhelming agents. For example, if the contact reason is “Return,” automatically prompt the agent to log the return reason or product defect.

Prep your macros and AI agent

Macros and AI Agent are your frontline during BFCM. When prepped properly, they can clear hundreds of repetitive tickets. The key is to ensure that answers are accurate, up-to-date, and aligned with what you want AI to handle.

  • Write macros for your most common FAQs
  • Train your AI on the right sources
  • Define the limits of what AI should handle

1. Write macros for your top FAQs

Customers will flood your inbox with the same questions: “Where’s my order?” “When will my discount apply?” “What’s your return policy?” Write macros that give short, direct answers up front, include links for details, and use placeholders for personalization. 

Bad macro:

  • “You can track your order with the tracking link. It should update soon.”

Good macro:

  •  “Hi {{customer_firstname}}, you can track your order here: {{tracking_link}}. Tracking updates may take up to 24 hours to appear. Here’s our shipping policy: [Help Center link].”

Pro Tip: Customers expect deep discounts this time of year. BPO agency C(x)atalyze recommends automating responses to these inquiries with Gorgias Rules. Include words such as “discount” AND “BFCM”, “holiday”, “Thanksgiving”, “Black Friday”, “Christmas”, etc.

2. Train your AI on the right sources

AI is only as good as the information you feed it. Before BFCM, make sure it’s pulling from:

  • Your Help Center with updated FAQs and policies
  • Internal docs on return windows, promos, and shipping cutoffs
  • Product catalogs with the latest details and stock info
  • BFCM-specific resources like discount terms or extended support hours

Double-check a few responses in Test Mode to confirm the AI is pulling the right information.

How Gorgias AI Agent works: Guidance, knowledge, and Actions
Gorgias AI Agent uses Guidance (your instructions) and knowledge sources in order to perform actions and craft responses.

3. Define the limits of what AI should handle

Edge cases and urgent questions need a human touch, not an automated reply. Keep AI focused on quick requests like order status, shipping timelines, or promo eligibility. Complex issues, like defective products, VIP complaints, and returns, can directly go to your agents.

Pro Tip: In Gorgias AI Agent settings, you can customize how handovers happen on Chat during business hours and after hours. 

Forecast your BFCM staffing needs

Too few agents and you prolong wait times and miss sales. Too many and you’ll leave your team burned out. Capacity planning helps you find the balance to handle the BFCM surge.

1. Use ticket volume to estimate the number of agents

Use your ticket-to-order ratio from last year as a baseline, then apply it to this year’s forecast. Compare that number against what your team can realistically handle per shift to see if your current staffing plan holds up.

Read more: How to forecast customer service hiring needs ahead of BFCM

2. Plan extra coverage with automation or outsourcing

You still have options if you don’t have enough agents helping you out. Customer service agency TalentPop recommends starting by identifying where coverage will fall short, whether that’s evenings, weekends, or specific channels. Then decide whether to increase automation and AI use or bring in temporary assistance. 

3. Run agent training sessions on BFCM protocols

Before the holiday season, run refreshers on new products, promos, and policy changes so no one hesitates when the tickets roll in. Pair training with cheat sheets or an internal knowledge base, giving your team quick access to the answers they’ll need most often.

Map out your logistics processes

Expect late shipments, low inventory, and more returns than usual during peak season. With the proper logistics automations, you can stay ahead of these issues while reducing pressure on your team. 

ShipBob and Loop recommend the following steps:

  • Negotiate better rates and processing efficiencies
  • Automate your reverse logistics
  • Connect your store, 3PL, and WMS
  • Automate inventory reorder points
  • Show shipping timelines on product pages

1. Negotiate better rates and processing efficiencies

Shipping costs add up fast during peak season. Work with your 3PL or partners like Loop Returns to take advantage of negotiated carrier rates and rate shopping tools that automatically select the most cost-effective option for each order.

2. Automate inventory reorder points

To maintain a steady supply of products, set automatic reorder points at the SKU level so reorders are triggered once inventory dips below a threshold. More lead time means fewer ‘out of stock’ surprises for your customers.

3. Build contingency plans for disruptions

Bad weather, delays, or unexpected demand can disrupt shipping timelines. Create a playbook in advance so your team knows exactly how to respond when things go sideways. At minimum, your plan should cover:

  • Weather disruptions - Do you have a backup plan if carriers can’t pick up shipments due to storms or severe conditions?
  • Carrier overloads - Which alternative carriers or routes can you switch to if primary partners are at capacity?
  • Inventory shortages - How will you handle overselling, low stock alerts, or warehouse imbalances?
  • Demand drop-offs - How will you reallocate inventory if BFCM sales don’t match forecasts?

4. Show shipping timelines on product pages

Customers want to know when their order will arrive before they hit checkout. Add estimated delivery dates and 2-day shipping badges directly on product pages. These cues help shoppers make confident decisions and reduce pre-purchase questions about shipping times.

Pro Tip: To keep those timelines accurate, build carrier cutoff dates into your Black Friday logistics workflows with your 3PL or fulfillment team. This allows you to avoid promising delivery windows your carriers can’t meet during peak season.

Maximize profits with upselling automations

You’ve handled the basics, from ticket routing to staffing and logistics. Now it’s time to go beyond survival. Upselling automations create an end-to-end experience that enhances the customer journey, shows them products they’ll love, and makes it easy to buy more with confidence. To put them to work:

  • Guide shoppers with smart recommendations
  • Suggest alternatives when items are out of stock
  • Engage hesitant shoppers with winback discounts

1. Guide shoppers with smart recommendations

BFCM puts pressure on customers to find the right deal fast, but many don’t know what they’re looking for. Make it easier for them with macros that point shoppers to bestsellers or curated bundles. For a more advanced option, conversational AI like Gorgias Shopping Assistant can guide browsers on their own, even when your agents are offline.

2. Suggest alternatives when items are out of stock

No need to damage your conversion rate just because customers missed the items they wanted. Automations can recommend similar or complementary products, keeping customers engaged rather than leaving them empty-handed.

If an item is sold out, set up automations to:

  • Suggest similar items like another size, color, or variation of the same product.
  • Highlight premium upgrades such as a newer model or higher-value version that’s in stock.
  • Cross-sell and offer bundles to keep the order valuable even without the original item.
  • Notify customers about restocks by letting shoppers sign up for back-in-stock alerts.

3. Engage hesitant customers with winback discounts

Automations can detect hesitation through signals like abandoned carts, long checkout times, or even customer messages that mention keywords such as “too expensive” or “I’ll think about it.” In these cases, trigger a small discount to encourage the purchase.

You can take this a step further with conversational AI like Gorgias Shopping Assistant, which detects intent in real time. If a shopper seems uncertain, it can proactively offer a discount code based on the level of their buying intent.

Keep support quality high with QA automations

During BFCM, speed alone is not enough. Customers expect accurate, helpful, and on-brand responses, even when volume is at its highest. QA automations help you prioritize quality by reviewing every interaction automatically and flagging where standards are slipping. To make QA part of your automation prep:

  • Automate ticket reviews with AI-powered QA
  • Track both agent and AI responses
  • Turn QA insights into coaching opportunities

1. Automate ticket reviews with AI-powered QA

Manual QA can only spot-check a small sample of tickets, which means most interactions go unreviewed. AI QA reviews every ticket automatically and delivers feedback instantly. This ensures consistent quality, even when your team is flooded with requests.

Compared to manual QA, AI QA offers:

  • Full coverage: Every ticket is reviewed, not just a sample.
  • Instant feedback: Agents get insights right after closing tickets.
  • Consistency: Reviews are unbiased and use the same criteria across all interactions.
  • Scalability: Works at any ticket volume without slowing down your team.
Manual QA vs. AI-powered QA
AI-powered QA helps you review more tickets at a higher quality in comparison to manual QA. 

2. Track both agent and AI responses

Customers should get the same level of quality no matter who replies. AI QA evaluates both human and AI conversations using the same criteria. This creates a fair standard and gives you confidence that every interaction meets your brand’s bar for quality.

3. Turn QA insights into coaching opportunities

QA automation is not just about grading tickets. It highlights recurring issues, unclear workflows, or policy confusion. Use these insights to guide targeted coaching sessions and refine AI guidance so both humans and AI deliver better results.

Pro Tip: Pilot your AI QA tool with a small group of agents before peak season. This lets you validate feedback quality and scale with confidence when BFCM volume hits.

Give your ecommerce strategy a boost this holiday shopping season

The name of the game this Black Friday-Cyber Monday isn’t just to get a ton of online sales, it’s to set up your site for a successful holiday shopping season. 

If you want to move the meter, focus on setting up strong BFCM automation flows now. 

Gorgias is designed with ecommerce merchants in mind. Find out how Gorgias’s time-saving CX platform can help you create BFCM success. Book a demo today.

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Customer Service vs Customer Experience vs Customer Support

The Difference Between Customer Service, Customer Support, and Customer Experience

By Gorgias Team
11 min read.
0 min read . By Gorgias Team

TL;DR:

  • Customer service covers all non-technical interactions across the customer journey, from pre-purchase questions to returns and follow-ups
  • Customer support is a subset of customer service focused on resolving technical product issues, most common in ecommerce, SaaS, and tech
  • Customer experience is the cumulative perception customers form across every touchpoint with your brand, from your website to your packaging to your support interactions
  • All three are interdependent. Poor service and support undermine good CX, while great service elevates brand perception even when other touchpoints fall short
  • To implement all three effectively, unify your customer data, offer omnichannel support, and build self-service options that reduce ticket volume while keeping customers in control

Most brands think they're delivering a great customer experience, but what they're really doing is answering tickets. Customer service, customer support, and customer experience are three distinct disciplines, and confusing them leads to gaps in your strategy where customers fall through. Here's what each one means, how they work together, and what it takes to get all three right.

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What is customer service?

Customer service is the assistance you provide to customers across every stage of their journey with your brand. It covers the full range of non-technical interactions, from answering pre-purchase questions to managing returns to following up after delivery. Customer support, which handles technical product issues, is a subset of customer service.

Customer service typically includes:

  • Answering pre-purchase questions about products, shipping, or policies
  • Handling returns, exchanges, and refunds
  • Managing order-related inquiries like tracking or delivery updates
  • Resolving non-technical account issues and billing questions

The key qualities that define good customer service are strong soft skills, consistency, and empathy. Service can be delivered through multiple channels including chat, email, phone, social media, and automated tools like AI chatbots and self-service options.

You can evaluate your customer service program in several ways, including tracking response time, resolution rate, or customer effort score.

What is customer support?

Customer support is a subset of customer service focused on helping customers solve technical problems with your product. It's most common in ecommerce, SaaS, and tech — not every business needs it.

Customer support typically includes:

  • Real-time troubleshooting through email and live chat
  • Helping customers install, set up, and maintain your product
  • Creating knowledge base documentation and self-service resources
  • Providing product feedback to development and engineering teams

Gauge your customer support performance by tracking metrics such as time to resolution, ticket escalation rate, and ticket deflection rate, which indicate how quickly and effectively technical issues are resolved.

What is customer experience?

Customer experience, also known as CX, is the cumulative perception customers form across all interactions with your brand. It spans all interactions with your brand, from discovery to purchase to post-purchase and beyond. In short, customer experience comes down to how a customer feels after interacting with your brand — and what will bring them back again and again.

Customer experience is often described through the three Ps framework:

  • People: Every human interaction, from sales to support to social media engagement
  • Process: The systems and workflows customers navigate, like checkout or returns
  • Product: The quality and usability of what you sell, including packaging and delivery

Customer experience includes touchpoints like:

  • Website browsing experience and ease of navigation
  • Marketing messages, ads, and social media presence
  • Product quality, packaging, and unboxing
  • Support interactions across all channels
  • Loyalty programs and post-purchase engagement

Customer experience is ongoing and fluid. It changes over time as customers have new interactions with your brand. Customer experience is usually quantified by customer perception of your brand, using metrics such as a net promoter score (NPS) or customer satisfaction score (CSAT).

Key differences between customer service, customer support, and customer experience

Customer service, customer support, and customer experience differ in scope, measurement, and ownership — but they're closely connected.

Customer Service

Customer Support

Customer Experience

Definition

Non-technical assistance across the customer journey

Technical help resolving product issues

Cumulative perception across every brand touchpoint

Scope

Broad, covers full customer lifecycle

Narrow, focused on technical issues

Widest, spans every interaction with your brand

Approach

Proactive and reactive

Mostly reactive

Proactive

Owned by

Support team

Technical support team

Entire organization

Key metrics

CSAT, FCR, AHT

Time to resolution, ticket escalation rate, ticket deflection rate

NPS, CLV, churn rate, retention rate

Applies to

All businesses

Ecommerce, SaaS, and tech

All businesses

Goal

Resolve customer needs efficiently

Solve technical product problems

Build lasting loyalty and brand perception

Examples

Returns, order inquiries, pre-purchase questions

Troubleshooting, onboarding, documentation

Website UX, packaging, post-purchase follow-up

Scope and control

Customer service has a broad scope. It covers every interaction a customer has with your business, from pre-purchase questions to post-purchase follow-ups.

Customer support has a narrower scope, focusing specifically on technical issues and product-related problems. Your support team has high control over resolution quality because they can directly manage response times, escalation processes, and technical documentation.

Customer experience has the widest scope of all. It spans every touchpoint a customer encounters with your brand, from your website and marketing to product quality and shipping. No single team owns CX, and it's influenced by factors across your entire organization, which makes it the hardest of the three to control directly.

Success metrics

Customer service metrics focus on operational efficiency and immediate satisfaction:

  • CSAT (customer satisfaction score) — measures satisfaction with specific interactions
  • FCR (first contact resolution) — tracks problems solved in one interaction
  • AHT (average handle time) — measures how long interactions take
  • Service level — tracks how quickly teams respond to inquiries

Customer support metrics focus on technical resolution:

  • Time to resolution — measures how long it takes to fully solve a technical issue
  • Ticket escalation rate — tracks how often issues need to be passed to specialist teams
  • Ticket deflection rate — measures how often self-service tools prevent customers from needing to contact support

Customer experience metrics focus on long-term perception and business impact:

  • NPS (net promoter score) — measures likelihood to recommend your brand
  • CES (customer effort score) — tracks overall ease of doing business with you
  • CLV (customer lifetime value) — measures long-term customer value
  • Churn rate and retention rate — track customer loyalty over time

Some metrics like CSAT and NPS can measure both service quality and overall experience, depending on how you deploy them.

Ownership and responsibility

Customer service is owned by your support team or contact center. They're directly responsible for the quality of customer interactions and problem resolution. Key roles include:

  • Customer service representatives
  • Support team leads and managers
  • Quality assurance specialists
  • AI specialists who configure and monitor automated responses and chatbots

Customer support is owned by a dedicated technical support team, often working closely with the product team. Key roles include:

  • Technical support specialists
  • Product support engineers
  • Knowledge base and documentation writers
  • AI specialists who manage ticket deflection workflows and self-service tools

Customer experience is a shared responsibility across your entire organization. No single team can deliver great CX alone. Key roles include:

  • CX managers and directors
  • Marketing and brand teams
  • Product and UX teams
  • Sales and customer success teams
  • Automation strategists who identify repetitive touchpoints across the customer journey to reduce friction at scale

Customer service, customer support, and customer experience: how they work together

Customer service, customer support, and customer experience are interdependent. Service and support interactions provide direct CX insights through customer feedback, questions, and complaints, creating a feedback loop that surfaces issues other departments need to address.

The impact runs both ways. Poor service and support destroy an otherwise good customer experience, while great service elevates brand perception even when other touchpoints fall short. Proactive customer service — reaching out before customers ask for help — acts as a bridge between reactive support and holistic experience management.

For example: A customer messages a skincare brand on Instagram asking which device suits their skin type. A customer service rep responds with a personalized recommendation. The customer buys the device, but it arrives with a cracked charger. Support resolves it quickly and sends a replacement. The agent logs the complaint, flags it to the product team, and the packaging gets updated. The customer leaves a glowing review. One journey touched all three elements, and each one reinforced the other.

Which matters more?

All three are essential. You can't prioritize one over the others without sacrificing business results. Service without good CX means you're constantly putting out fires created by poor processes and broken systems. CX without good service and support means you've made promises about quality and convenience that break down the moment a customer has a problem.

Smart brands invest in all three. They build systems that deliver consistent service and support while optimizing for every touchpoint in the customer journey.

How to implement a customer experience strategy

Understanding the difference between service and experience is just the starting point. The next step is building a strategy that addresses all three through unified data, omnichannel support, and self-service options.

Unify customer data across touchpoints

A single source of truth for customer information is critical for delivering personalized experiences. Without it, agents waste time switching tools, asking redundant questions, and missing context that would help them resolve issues faster.

The essential customer data to unify includes:

  • Order history, status, and tracking information
  • Past support interactions and conversation history
  • Customer preferences, tags, and segmentation data

To action this, connect your support platform to your ecommerce stack. When your helpdesk integrates with Shopify, agents can see full customer context in one place and pick up conversations naturally, even if the customer spoke to a different rep last time.

Offer omnichannel support

Customers don't stay in one channel. They browse on Instagram, check out on your website, and follow up via email. Your support should follow them. Omnichannel support means maintaining context across every channel so customers never have to repeat themselves.

Start by covering the core channels:

  • Email for detailed inquiries and order management
  • Live chat for immediate questions during browsing
  • Social media platforms like Instagram and Facebook for public engagement
  • SMS for time-sensitive updates and quick questions
  • A help center and FAQ page for customers who prefer to find answers on their own

Once your channels are set up, focus on continuity. Every conversation, regardless of where it started, should carry the same context and quality throughout.

Build self-service options

Most customers would rather find an answer themselves than wait for an agent. Self-service tools reduce ticket volume while giving customers the speed they expect.

Effective self-service options include:

  • A help center or knowledge base with searchable articles and guides
  • An AI agent for instant automated answers to common questions
  • A shopping assistant that helps customers find the right product before they need support
  • An order tracking portal where customers can check status independently

To get started, audit your most common tickets. The questions your team answers repeatedly are the best candidates for self-service. Build help center articles around them, then configure your AI agent's support skills to handle them automatically. This frees your team to focus on complex issues that actually need a human touch.

Turn conversations into better experiences with Gorgias

Knowing the difference between customer service, support, and experience is only useful if it changes how you build your strategy. The brands that win aren't just resolving tickets faster. They're connecting every interaction into a coherent journey that keeps customers coming back.

Gorgias helps ecommerce brands do exactly that. From AI-powered support to a unified helpdesk, it gives your team the tools to deliver consistent service, resolve technical issues faster, and create experiences that build lasting loyalty.

Book a demo to see how it works.

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