How To Improve Ecommerce Customer Retention (2026)

Ecommerce customer retention is the discipline of keeping existing customers buying rather than seeking to replace them with new customers. The motivation isn’t hard to find: according to research by Cydcor, new customer acquisition cost (CAC) is 5 to 25 times higher than customer retention cost (CRC).

Many brands call customer retention a priority, but their customers aren’t necessarily feeling it. In GetResponse’s “2026 Customer Loyalty Report”, 99% of brands said loyalty would be important over the next two to three years. Yet 67.3% of consumers felt brands valued new customers more than existing ones; and among people who repurchased monthly, that figure rose to 70%.

As EY’s Patricia Camden says in CX Dive, “We’ve been loyal for years, and there’s no acknowledgment of that history.” Ahead, we’ll walk through how to make customer history visible in your online customer experience strategy.

What is customer retention in ecommerce?

A retailer keeping online customers buying over time is ecommerce customer retention. The discipline covers the product, service, loyalty, communications, and post-purchase experiences that turn a first order into second and third orders, and ideally a much longer customer relationship.

As customer experience (CX) expert Shep Hyken says in Forbes, CX is the strategy; retention is the result.

As AI reshapes discovery and ad costs rise, StarApp founder Shashank Agrawal says in International Business Times that brands are shifting more budget toward retention and loyalty.

“As the top of the sales funnel gets more complicated by AI, ecommerce brands are starting to see the value in keeping the customers they already have,” says Shashank.

As we discuss retention, there are a few related metrics that may come up:

• Repeat customer rate describes what percentage of customers have purchased more than once during a given period.
• Customer retention rate (CRR) tracks the customers you already have and measures how many remain active over a defined time frame.
• Churn rate describes the percentage of customers who stop buying within a given period of time. This includes subscription cancellations.

What’s the average customer retention rate for ecommerce?

In a 2024 study, Sprinklr cites an ecommerce average CRR of about 38%, but that number's value depends on what you sell, how often customers would reasonably buy it, and the period you measure.

Meanwhile, a Beauchamp Sullivan & Co. analysis of more than 156,000 direct-to-consumer (DTC) customers found an average 18.8% repeat purchase rate, meaning 81% of customers never place a second order at all. 

But the numbers vary widely across markets and industries. Among the DTC brands in the BS&Co survey: 

• Consumable brands see repeat rates as high as 22% to 44%, because the consumable product itself creates the occasion to buy again. 
• Fashion sits lower, at around 10% to 17%. 
• Durables and home goods are lowest of all, at 7% to 18%, for the obvious reason that people seldom buy a new couch every quarter.

If you’re on Shopify, Shopify's Customer reports make it easy to find these metrics for your business. Look at new vs. returning customer sales, returning customer rate, cohort behavior over time, and predicted spend tiers, all without exporting anything to a spreadsheet.

How to calculate your ecommerce retention rate

The formula to calculate ecommerce customer retention rate is:

Customer retention rate = [(E − N) / S] x 100

Where E is the number of customers at the end of the period, N is new customers acquired during it, and S is the number of customers at the start. 

Choose a measurement window that reflects how often customers typically repurchase, then compare like-for-like cohorts. The calculated rate here tells you how many customers stayed, but it doesn’t tell you why.

What are the factors that affect retention rates?

A retention model tends to lean heavily on the data closest to hand: transactions, product usage, service interactions, and other first-party signals. As Luke Smith, principal consultant at Optima Partners, says in Retail Customer Experience: “To move beyond this narrow view, organizations need to layer three distinct perspectives (and corresponding data types).”

A fuller retention calculation layers three data types:

• Start with customer behavior. Shopify’s Customer cohort analysis breaks cohorts down by sales, average order value (AOV), orders and spend per customer, acquisition channel, subscription mix, predicted spend tier, and geography. Footwear and apparel brand Nobull, for example, combined Shopify with Bluecore to segment customers across automated campaigns; Shopify reports a 46% increase in known repeat buyers. 
• Add a market comparison. Where available, Shopify Audiences benchmarks compare metrics like Meta conversion rate and cost per acquisition against similar Shopify stores or an industry cohort. 
• Then split the numbers by market. Shopify cohort reports include customer geography, so a retailer selling internationally can compare retention market by market and line those periods up with local inflation, consumer confidence, or other economic indicators. That’s especially relevant for retailers with global footprints like Delugs, which now sells across Asia, the Middle East, and the US on Shopify and has recorded a 14% year-over-year increase in returning customers.

How to find retention and returning customer data in Shopify

While calculating the retention rate takes only one formula, Shopify businesses can get a better understanding of the meaning of that rate using Shopify reports and other native tools: :

1. Pull the raw returning-customer data. In Shopify admin, go to Analytics > Reports, filter by the Customers category, and select Returning customers. This gives you order count, average spend per order, and total spend for every customer with two or more orders.
2. Layer in behavior groups with RFM customer analysis. The same Customers reports category includes an RFM report—which stands for recency, frequency, and monetary value—that sorts every customer into one of 11 groups based on how recently they bought, how often they purchase, and how much they spend. 
3. Turn a group into something actionable. Click any RFM group name and select Preview segment to convert it straight into a customer segment you can target with email or ads.
4. Check the trend. The Customer cohort analysis report groups customers by the month of their first order and tracks what they do afterward, visualized as either a heatmap or a retention curve. Switch the metric to customer retention rate to see whether a given cohort's retention is climbing or sliding over time.
5. Save the workflow. Any customized report can be saved as a custom exploration.

Shopify Sidekick can speed up the interrogation part of retention analysis. You can ask the tool questions about new and returning customers, customer location, order counts, RFM groups, and predicted spend tiers; Sidekick will retrieve answers directly from your Shopify data. 

For example: “Which RFM group has my highest average order value?”

Sidekick can also create customer segments from a plain-language description. Shopify converts that request into a dynamic ShopifyQL segment, so customers are automatically added or removed as they meet the criteria.

The point of pulling this data together is to see customers as people with histories, rather than isolated orders. Take the French beauty retailer Oh My Cream. They used Shopify and Shopify POS to unify customer data across ecommerce and stores, then built their loyalty program around that combined view. They reported a 50% increase in customer lifetime value (CLV) after the brand implemented their omnichannel journey.

“When we switched to Shopify, it was our best year in terms of growth,” says Margaux Mercadier, head of ecommerce.

The key ecommerce customer retention metrics to track

In GetResponse’s 2026 ecommerce research, 40% of brands earning more than $50 million ranked customer retention as their top growth priority.

Specific key performance measures (KPIs) can be informative tools for looking at retention and its impact.. Moran Khoubian, senior director of ecosystem and community at Yotpo, points to customer lifetime value, repeat purchase rate, average order value, loyalty redeemer value, and time to second purchase as more specific ways to measure retention.

How to build a successful customer retention strategy

The first purchase gives you a customer, and everything after it determines whether you keep them. A strong retention strategy uses what customers do next to shape the experience that follows.

Define your ideal customer

An ideal customer for retention belongs to the customer group that produces the strongest long-term economics: they come back, buy at a healthy cadence, and generate high lifetime value. 

Define that group from observed behavior. Start with cohort retention analysis. Compare retention by first product purchased, acquisition channel, geography, subscription status, or first-order period to see which groups actually keep buying.

The wallet brand Ridge found their ideal customer segment at the product level. CEO Sean Frank says the brand found customers who’d purchased their rings had the highest lifetime value of any cohort in the business. And wallets, by contrast, are naturally infrequent purchases, so Ridge began acquiring more customers through rings and cross-selling wallets afterward.

“Rings didn't exist in 2022 for us. And in 2023, they were an eight-figure business,” says Sean in an episode of Shopify Masters.

Unify customer data for segmentation and cohort analysis

A unified customer profile links orders, returns, loyalty activity, marketing engagement, store visits, and service history to the same profile. 

As Forbes Technology Council contributor Suresh Kumar says: “A true retention system unifies acquisition, engagement, preference insight and long-term value creation into a single operating model.” Shopify’s unified data model does this natively across commerce data. When a customer shares an email address or phone number, Shopify creates a customer profile and continuously enriches it with orders, payments, returns, and channel activity.

That shared model can then power dynamic segments using fields such as LTV, order count, last purchase date, returns history, subscription status, and consent. Shopify Flow can act when those conditions change. For example, moving a high-LTV customer who hasn’t purchased in 90 days into an at-risk segment, or flagging a VIP for priority service.

Take Castañer. After moving to Shopify, the Spanish footwear brand brought customer, order, and inventory data from ecommerce and more than 25 stores into one system. Their customers can now see their full purchase history across online and physical stores in one account, which supports repeat purchasing.

“This native omnichannel capability provided by Shopify has been the key to success for us,” says Xavi Colomé, digital director.

Pro tip: Customer data still needs rules around who can collect, access, and activate it. In 2026, 20 US states have comprehensive privacy laws in effect, with new laws and amendments changing requirements around consumer data this year.

Personalize storefronts and post-purchase messages

You get more value from personalization after the first purchase, when you have real behavioral data to work with. Here are some tips to get personalization started:

• Start with the storefront. Shopify’s unified customer profiles can power logged-in experiences such as wishlists, quick reordering, tailored product recommendations, customer-specific discounts, and saved carts. In addition, Customer Account UI Extensions can deliver personalized bundles, recommendations, and educational content to logged-in customers and post-purchase customers.
• Apply the same logic to lifecycle messaging. Shopify Messaging automations include post-purchase journeys for thanking customers after their first or second order, upselling after a first purchase, and encouraging ecommerce customers near a store to visit in person.
• Make messages more precise with customer segments. Recommend products based on purchase history, reengage customers who have stopped buying, or reserve an offer for your most loyal customers.

Airsign used exactly that kind of purchase-history segmentation. The customers who bought their vacuum at launch hadn’t had the opportunity to subscribe for replacement AirBags or HEPA filters, which were introduced later. The team identified those original buyers in Shopify, created a segment-specific subscription discount, and sent them a tailored offer. 

Alex Dashefsky, cofounder, says about 30% of the segment converted. And the customer experience doesn’t stop there. In a 2026 RetailX/Mondi survey, 67% of customers said packaging features such as shape, material, and personalization created an unboxing experience that encouraged repeat purchases; among Gen Z, that rose to 79%. 

Design customer loyalty programs

A loyalty program is a structured system that rewards customers for repeat purchases or other valuable behaviors, such as referrals, reviews, subscriptions, or reaching a spending threshold. The design job is to make those rewards change customer behavior without giving away margin on purchases that would have happened anyway.

Deloitte’s “2025 Consumer Loyalty Program Survey” found 72% of consumers say loyalty programs make them more likely to spend with their preferred brand, 56% increase their spending because of the program, and 80% feel they get more value from the brand because of it.

Shopify and Sapio Research found a similar post-purchase effect during the 2025 holiday season: shoppers named discounts (49%), free shipping or returns (41%), loyalty programs (29%), great customer experience (28%), and transparent updates (20%) as reasons they would stay loyal to a retailer after buying.

The reward structure should match the behavior you want to increase:

• Points can encourage a faster next purchase, but redemption thresholds should reflect contribution margin and normal purchase cadence.
• Tiers can reward higher annual spend with benefits such as early access, free shipping, or better earn rates, giving customers a reason to consolidate more of their spending with the brand.
• VIP and experiential rewards can add value without relying entirely on discounts. Deloitte found consumers enroll in an average of eight loyalty programs but actively use only five, so just awarding points can be a low bar for differentiation.
• Referral rewards can turn retention spend into acquisition spend too, provided the value of the referred customer covers both sides of the incentive.

Shopify POS keeps online and in-store purchases on the same customer profile, while loyalty apps such as Smile, Yotpo, and LoyaltyLion can sit on top of that data so customers earn and redeem across channels. An independent EY study found that known customers at Shopify retailers make 61% more repeat purchases than unknown customers, rising to 74% for retailers with more than $20 million in revenue. 

Bambi Baby connected their loyalty rewards across ecommerce and stores after moving from BigCommerce and a fragmented retail setup to Shopify and Shopify POS. The integrated program increased repeat purchases and customer lifetime value; IT director Josh Weiss says the brand is seeing fewer “one-and-done” transactions because customers come back for smaller purchases to use their points. 

The same rollout also coincided with a 30% increase in average order value. 

“The fact that I can be sitting 30 miles away from our closest store and can update all the point of sale devices with a new coupon through Shopify saves a ton of time,” says Josh.

Provide proactive support

With proactive support, you figure out what your customers will need before they have to ask, and it can be a strong driver of retention.

Medallia’s “2026 State of Customer Experience Research Report” found that when customers encountered a problem, their likelihood of considering a switch more than doubled; among service interactions, 21% ended unresolved, and 1 in 6 consumers switched to a competitor afterward.

Shopify gives your support team several places to intervene earlier:

• Automate the obvious updates. Shopify can send customers order, shipping, and account notifications automatically, reducing WISMO (“Where is my order?”) tickets.
• Escalate signals to a person. Shopify Flow includes workflows such as prompting staff to contact customers after high-value returns, notifying support about split fulfillments, or creating tickets from new product reviews.
• Give agents the customer history. Shopify Inbox supports staff handoffs with the previous conversation context intact, while signed-in customers can receive order-specific help. The native reporting also tracks response time and satisfaction rate. 

Take Backyard Butchers. After moving their retail operations to Shopify POS and connecting customer and order data across channels, the retailer cut customer-service ticket resolution times by about 50%, made customer order changes 70% faster, and increased CSAT by 30%. 

"Shopify makes knowing the customer easy, and if we leverage the data properly, the customer feels known," says Tyler Medina, head of marketing.

Reduce subscription churn with payment recovery

The term “involuntary churn” refers to customers who leave without their intention to do so. In subscription ecommerce, it most often occurs when a renewal can’t be completed because of payment, billing, or other technical issues.

Recurly’s “2026 State of Subscriptions” report put involuntary churn for ecommerce subscriptions at 1.38%, roughly a third of the category’s 4.25% total churn rate. And much of that loss is recoverable: ecommerce brands in Recurly’s 2026 subscription dataset recovered $169.4 million in a single year through dunning and payment recovery.

Start with Shopify Subscriptions. You can set how many times Shopify retries a failed subscription payment, how many days to leave between attempts, and whether to skip, pause, or cancel the subscription once retries are exhausted. 

Your customers receive notifications and can update their payment method through their account. Shopify Payments also supports automatic card updates that can prevent some failures when cards are replaced.

Shopify Flow can also trigger workflows after a failed billing attempt, giving teams a way to notify staff, tag affected customers, or kick off another recovery action.

Pro tip: Keep payment recovery separate from retention-by-obstruction. For online subscriptions in the US, the FTC says the Restore Online Shoppers’ Confidence Act (ROSCA) requires sellers using negative-option billing to clearly disclose material terms, obtain express informed consent before charging, and provide simple ways to stop recurring charges. The cost of noncompliance runs in the millions: in May 2026, Shutterstock agreed to pay $35 million to settle FTC allegations involving subscription consent, billing, and difficult cancellation.

Assign retention ownership across teams

A retention owner is one who is clearly accountable for customer retention performance across customer relationship management (CRM), ecommerce, customer service, loyalty, analytics, merchandising, and finance. In enterprises, shared responsibility works; shared accountability often does not.

Assign every priority metric to one named owner, mapping retention specifically to CRM. That owner should set the target, define the threshold that triggers action, and make sure somebody actually responds when retention moves. A dedicated retention function becomes more useful as the customer base and lifecycle program grow. 

GetResponse’s 2026 survey found larger companies were more likely to have dedicated loyalty owners, larger retention budgets, and always-on automations. 

A split might look like this:

• The retention or CRM team owns retention rate, CLV, lifecycle strategy, segmentation, loyalty, and winback programs.
• The customer experience or support team owns service signals that threaten another purchase, from unresolved cases to recurring complaints.
• The ecommerce or merchandising team owns the returning-customer storefront experience, recommendations, replenishment paths, and cross-sells.
• The data and analytics team owns cohort definitions, attribution, reporting logic, and alert thresholds.
• The finance team tests whether discounts, rewards, and recovery programs produce incremental CLV after margin costs.
• The acquisition or growth team feeds retention data back into targeting so the business acquires more customers who resemble its strongest cohorts.

The handoffs can be built into Shopify. For example, customer segments can update as behavior changes, while Shopify Flow can route the signal.

The future of customer retention

AI is mediating more first purchases, while richer first-party data is making the next purchase easier to predict and influence.

Adyen co-CEO Pieter van der Does says in Reuters that “loyalty becomes way more important” as retailers try to avoid having their demand mediated entirely by large language models (LLMs).

The industry is moving from scheduled retention campaigns toward continuous, signal-led intervention. Deloitte Digital’s 2026 B2C commerce study found only 12% of companies use agentic AI “extensively” in commerce; but among adopters, improved customer retention already ranks among the top reported benefits. The same research puts personalization at the top of commerce investment priorities for 2026; in Deloitte’s phrase, “1-to-1 is #1.”

There’s a similar movement in lifecycle messaging. Klaviyo’s 2026 email marketing benchmarks across more than 183,000 brands found automated email flows generated nearly 41% of email revenue from only 5.3% of sends, with placed-order rates around 13 times higher than campaigns. 

The concept of loyalty programs is also spreading beyond points and discounts. Yotpo describes “emotional loyalty” as the deeper connection customers form with brands through trust, shared values, recognition, and repeated positive experiences.

Meanwhile, economic pressure is pushing retention higher on the agenda. The 2026 CMO Survey found 43.7% of marketers are increasing their focus on loyalty and retention among existing customers in response to economic shifts. But the same survey found 70.6% of marketers under pressure to prove value are prioritizing short-term impact over long-run gains.