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What a 24% Repeat Purchase Rate Actually Means for Your Shopify Store (And How Email Gets You There)

May 20, 2026
What a 24% Repeat Purchase Rate Actually Means for Your Shopify Store (And How Email Gets You There)

What a 24% Repeat Purchase Rate Actually Means for Your Shopify Store (And How Email Gets You There)

By Steve Merrill | May 20, 2026

That's the repeat purchase rate of a pet food brand I know. 2,200 orders. Zero paid ads. Zero email automation. No loyalty program. Just a good product and word of mouth.

24% of their customers came back for a second order without anyone asking them to.

If you're running Shopify with a Klaviyo account, active email flows, and a welcome sequence, and you're below that number, something is broken. The floor benchmark is being beaten by a brand that's doing nothing to earn it. That's the uncomfortable context for where your retention should be.


What Is a Good Repeat Purchase Rate for a Shopify Store?

24% is the realistic floor. With email flows, you should be targeting 30-40% depending on your product category and average repurchase cycle.

The range varies because product type matters. A consumable product like supplements, pet food, or coffee should naturally pull higher repeat rates because buyers run out. A fashion or home goods brand might see lower repeat rates because purchase cycles are longer and buyers don't need another item until they do.

According to Klaviyo's ecommerce benchmark data, the average Shopify store repeat purchase rate sits around 27-32% for brands with active email programs. If you're below the word-of-mouth baseline, the retention engine isn't running. If you're at the average, you have room to push.

How Do You Find Your Actual Repeat Purchase Rate?

Shopify Analytics. Go to Reports, then Customers, then Returning Customers. You'll see what percentage of your customer base has made more than one order.

One thing to check: the date range you're measuring over. A store that's been running for three months will show lower repeat rates than a store that's been running for three years simply because customers haven't had time to return. Use a rolling 12-month window to get a number that reflects actual retention behavior rather than recency.

Also segment by acquisition channel in Klaviyo. Paid acquisition customers often retain at lower rates than organic or referral customers. Knowing which channels bring in buyers who actually come back changes how you think about CAC.

Why Do Most Shopify Email Flows Miss the Retention Window?

Most stores set up the flows that capture acquisition: welcome sequence, browse abandonment, abandoned cart. Those are the top-of-funnel flows that convert leads. They're valuable.

What gets skipped is the post-purchase sequence, which is where retention actually starts. The post-purchase window is the period immediately after someone has paid you money and is most receptive to building a relationship with your brand. It's the highest engagement moment. And most stores send an order confirmation, a shipping update, and then go silent.

The research on ecommerce retention timing is consistent: the first 14 days after a first purchase are when the retention pattern sets. Buyers who receive a useful post-purchase email at 7-14 days, whether that's care instructions, use-case content, or a review request, return at materially higher rates than buyers who receive nothing.

The review request specifically does two things. It generates social proof for future buyers. And it creates a touchpoint that re-engages the customer at the exact moment they've used the product enough to have an opinion about it. Both of those outcomes compound over time.

What Does a Shopify Win-Back Flow Actually Need to Do?

A win-back flow targets customers who bought once and haven't returned. The timing depends on your average purchase cycle. If most customers buy every 30-45 days, trigger at 60 days of inactivity. If your cycle is longer, adjust accordingly.

Three-email structure that works:

Email 1: Low-pressure reengagement. "Here's what's new" or "We've been thinking about you." No discount yet. Just a reason to come back and look.

Email 2 (5-7 days later): Product recommendation based on the last purchase. If they bought a starter kit, email them about the replenishment or complement product. Relevance matters more than volume here.

Email 3 (another 5-7 days later): Time-limited offer. 10-15% off, expires in 48 hours. This is the last attempt before moving them to a lower-frequency list. If they don't buy after three emails, they're not lost. They're just not ready yet. Put them in a monthly newsletter and let the relationship continue at lower pressure.

The win-back flow does something important beyond recovering lapsed buyers. It generates data. Customers who don't engage with any of the three emails across 90 days are telling you something about fit, product quality, or expectations. That information is worth as much as the conversions you recover.

What About Loyalty Programs vs Email for Shopify Retention?

Email first. Always.

A loyalty program is an amplifier for a customer base that's already retained. It is not a substitute for a retention system that doesn't exist yet. I've seen stores build point-based loyalty programs on top of a 15% repeat purchase rate and watch the number barely move. The program generates engagement from buyers who were going to return anyway and confuses or annoys buyers who weren't.

Hit 24-30% repeat purchase rate through email flows. Then consider loyalty as a way to push high-frequency buyers toward even higher frequency. In that order, the loyalty program works. Out of that order, it's an expensive experiment that doesn't move the needle.

The Benchmark That Should Actually Drive Your Next Action

The pet brand. 24%. No ads. No email.

If you're below that with an active email program and automation tools in place, the diagnosis is clear: the retention flows aren't working, the post-purchase sequence is missing, or you're acquiring customers from channels with poor retention intent.

All three of those are fixable. None of them require more ad spend to solve. They require looking honestly at what happens in Klaviyo after a customer places an order, and filling in the gaps.

That's the work. It compounds quietly and shows up in the data about 90 days after you do it.


Frequently Asked Questions

What is a good repeat purchase rate for a Shopify store?

24% is the floor benchmark for a healthy Shopify store with active email flows. A brand running zero email automation that holds 24% through word of mouth is the baseline. With email retention flows in place, 30-40% is achievable for most DTC brands depending on product category and repurchase cycle.

How do I find my Shopify repeat purchase rate?

In Shopify Analytics, go to Reports > Customers > Returning customers. You'll see the percentage of customers who have placed more than one order. Use a rolling 12-month window to get a number that reflects actual retention behavior rather than recency effects.

Why is my Shopify repeat purchase rate low even with email flows?

Three common causes: your post-purchase sequence ends too early with no use-case or review email at 7-14 days post-delivery, your win-back flow triggers too late, or you're not segmenting high-value buyers for differentiated treatment. Most stores set up the welcome flow and browse abandonment but skip the post-purchase sequence that actually drives retention.

What Shopify email flows drive repeat purchases?

The post-purchase sequence, the win-back flow, and the VIP/loyalty segment are the three highest-impact retention tools in email. The post-purchase sequence builds satisfaction and prompts a second purchase. The win-back flow recaptures lapsed buyers. The VIP segment rewards your best customers in a way that increases purchase frequency and drives referrals.

Is a loyalty program better than email for Shopify retention?

Email comes first. A loyalty program without a healthy email foundation is an expensive layer on top of a retention problem. Hit 24-30% repeat purchase rate through email flows before introducing a point-based loyalty program. Loyalty works best as an amplifier for a customer base that's already engaged.


If you're building the marketing infrastructure that makes your store work without constant ad spend: Check Your Store's AI Readiness →

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Steve Merrill

Steve has been an entrepreneur in eCommerce since 2010 and has sold over $60M online. As the founder of WRKNG Digital he helps Shopify brands through growth strategy and execution of digital marketing.

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What Is the WRKNG Digital Blog?

This is where I document what I'm actually building and observing — not predictions about what AI might do someday, but what's happening right now with Shopify stores, AI shopping assistants, and the shift in how people find products online.

I run AI visibility audits on Shopify stores. I see the data. Most stores are invisible to ChatGPT, Perplexity, and Google AI Overviews — not because their products are bad, but because the structural signals AI crawlers look for aren't there.

That gap is what this blog covers.

What Will You Find Here?

AI Commerce Readiness

How AI shopping assistants like ChatGPT Shopping, Perplexity, and Google AI Overviews decide which products to recommend — and what Shopify stores need to do to show up. This includes structured data, product feed optimization, and content structure.

Answer Engine Optimization (AEO)

AEO is the practice of structuring your content so AI systems can extract it, quote it, and cite it. Different from SEO. Different signals, different ranking factors, different content requirements. I break down what it actually looks like in practice.

Real Data from Real Audits

I've audited hundreds of Shopify stores for AI readiness. The patterns are consistent. I share anonymized findings, before-and-after examples, and what the numbers actually show — not what anyone's guessing.

Agentic Commerce

AI agents that browse, compare, and recommend products are already live in ChatGPT, Copilot, and Perplexity. I cover what's changing, what Shopify's platform is doing about it, and what merchants need to do now before the window closes.

Frequently Asked Questions

What is AI commerce readiness for Shopify stores?

AI commerce readiness is a measure of how well your Shopify store is structured for discovery by AI shopping assistants like ChatGPT, Perplexity, and Google AI Overviews. It includes your structured data (JSON-LD schema), product feed quality, robots.txt permissions for AI crawlers, and content extractability. Most stores score an F when audited for these factors.

What is Answer Engine Optimization (AEO)?

AEO is the practice of structuring your content so AI systems can find it, understand it, and cite it when answering user questions. Unlike SEO, which targets a ranked position on a results page, AEO targets a citation inside an AI-generated answer. The signals are different: question-based headings, structured Q&A content, clear definition blocks, and authoritative external references.

How is AI product discovery different from Google Search?

Google Search returns a list of links ranked by relevance. AI shopping assistants like ChatGPT and Perplexity synthesize a recommended answer — selecting specific products or brands based on structured data, citation patterns, and content credibility signals. 67.8% of pages cited by AI don't rank in Google's top 10, according to Surfer SEO's research. Optimizing for one doesn't automatically optimize for the other.

How do I know if my Shopify store is visible to AI shopping assistants?

Run a free AI Commerce Audit Here. It scores your store across the key AI discoverability factors — structured data, product feed coverage, content extractability — and identifies what to fix first.