What Is a Good Repeat Purchase Rate for Shopify? (2026)

A good repeat purchase rate is 40-60%+ for consumables like coffee or supplements, 20-35% for apparel, and under 15% for durables like furniture. The often-quoted 27% Shopify-wide average sits in between all of them, which is exactly why it's the wrong number to benchmark against. Your category sets the ceiling, not the platform.

This guide covers the customer-level formula (and the order-level version that quietly inflates it), honest benchmarks by category, and why fixing repeat rate usually beats fighting CAC.

Repeat Purchase Rate, Defined Correctly

Repeat purchase rate is the share of your customers who have placed more than one order:

CopyRepeat Purchase Rate = Customers with 2+ orders / Total customers × 100

That's a customer-level calculation. There's a second version that gets reported constantly and measures something different: repeat order share, which is repeat orders divided by total orders. Take 100 customers where 90 bought once and 10 superfans bought ten times each. Customer-level repeat rate is 10 out of 100, or 10%. Order-level repeat share is 90 repeat orders out of 190 total orders, or about 47%. Both numbers describe the same store. Only one of them tells you whether typical customers come back.

If a repeat rate you're looking at seems too good, check which formula produced it. Order-level repeat share is dominated by a handful of heavy buyers and routinely runs three to five times higher than the honest, customer-level figure. Use customer-level. It's what Daymark's repeat purchase rate glossary entry uses, and it's the one that actually answers "do people come back."

Benchmarks by Category

Repeat rate tracks how often a category gets naturally reordered. A consumable that runs out gets bought again on a schedule. A couch does not.

Category	Typical repeat rate	Why
Consumables (coffee, supplements, skincare refills)	40-60%+	Product runs out; reorder is built in
Food & beverage	30-50%	Frequent, habitual consumption
Beauty & cosmetics	25-40%	Replenishment plus discovery
Apparel	20-35%	Driven by brand affinity, not need
Electronics & durables	5-15%	Long replacement cycles
Furniture & big-ticket	Under 10%	Bought rarely by nature

Ranges are directional, based on BS&Co's aggregate repeat purchase data. A supplements brand sitting at 25% has a real retention problem. A furniture brand at the same 25% is one of the best in its category. The number only means something next to a peer selling the same kind of thing.

The ~27% Shopify Average, in Context

The widely cited figure is that the average Shopify store runs a 27-28% repeat customer rate. That number is a blend across every category, size, and store age on the platform, per Shopify's own aggregate reporting and multiple third-party analyses of the same dataset. It lumps a 55%-repeat consumables brand together with an 8%-repeat furniture brand and reports the midpoint. Use 27% only as a sanity check that you're in a plausible range, not as the target. If you sell something people run out of, 27% should look low. If you sell something people buy once a decade, 27% should look impossibly high.

The Trap: Blended Rate vs. Cohort Rate

A blended, all-time repeat rate hides two things that matter more than the headline number.

A big acquisition month mechanically drags it down. A promo that floods your base with new, one-time buyers dilutes the blended rate even if every existing cohort's loyalty is unchanged. Nothing about your product got worse. You just added a wave of customers who haven't had time to reorder yet.

The acquisition channel is buried inside the average. Customers who arrive through a steep discount or a marketplace listing tend to repeat at a fraction of the rate of customers who arrive through brand search or referral. A blended number can look acceptable while one of your supposedly "cheap" channels is quietly buying one-time buyers who never come back. Segment repeat rate by cohort and by acquisition channel before you trust the top-line figure.

Why It's the Cheapest Growth Lever You Have

CAC has risen 40-60% industry-wide over the past two years. A five-point improvement in CAC efficiency only helps the customers you acquire from here forward. A five-point improvement in repeat rate compounds across your entire existing base, immediately, with no ad spend attached.

Repeat rate is also the fastest available proxy for lifetime value long before you have years of cohort data to model LTV directly. LTV is, in practice, repeat rate multiplied by average order value and margin, extended over time. The two move together by definition, so raising repeat rate is one of the few levers that improves LTV without touching your ad budget at all. The repeat purchase rate calculator lets you check your own number against these ranges directly.

What Actually Moves the Number

The fixes that move the number most tend to be the least glamorous ones:

• Fix the post-purchase gap. Most stores lose the second-order window in the first 30-60 days with no email, no reorder nudge, and no reason to come back. A replenishment reminder timed to when the product runs out beats a generic "come back" email.
• Segment by first-order channel. If discount-driven customers repeat at half the rate of organic customers, that's a signal to change the offer, not just the follow-up email.
• Watch cohorts, not the blend. A rolling blended number will always understate loyalty right after a big acquisition push. Compare cohort to cohort at the same age instead.

Frequently Asked Questions

What is a good repeat purchase rate for Shopify stores?

It depends on category. Consumables like coffee and supplements often run 40-60%+, food and beverage 30-50%, apparel 20-35%, and durables or furniture under 15%. The ~27% Shopify-wide average is a blend across every category and isn't a useful target for any single store. Compare your rate to your own vertical instead.

Is 27% a good repeat purchase rate?

It depends entirely on what you sell. The 27% figure is a blended average across all Shopify stores of every category and size, so it mixes high-repeat consumables brands with low-repeat furniture brands. A consumables brand at 27% has a retention problem. A furniture brand at 27% is doing extremely well. Use it only as a rough sanity check, not a target.

How do you calculate repeat purchase rate correctly?

Divide the number of customers who placed 2 or more orders by total customers, then multiply by 100. This is a customer-level calculation. A separate, higher number called repeat order share divides repeat orders by total orders, which is inflated by a small group of heavy buyers and can read three to five times higher. Always use the customer-level version to judge loyalty.

Why did my repeat purchase rate drop after a strong sales month?

A large acquisition or promotional month adds a wave of first-time buyers who haven't had time to reorder yet, which mechanically lowers the blended rate even if existing customers' behavior hasn't changed. Read repeat rate by cohort, comparing customers at the same age since first purchase, rather than trusting a single blended number.

Is repeat purchase rate more important than lowering CAC?

Often yes, because a repeat rate improvement compounds across your entire existing customer base immediately, while a CAC improvement only benefits customers acquired going forward. Repeat rate is also the fastest available proxy for lifetime value before enough cohort history exists to model LTV directly, so improving it raises the ceiling for how much you can afford to spend on acquisition.

Conclusion

Stop comparing your repeat purchase rate to the 27% Shopify average. Compute it the customer-level way, benchmark against your own category, and read it by cohort instead of blended. For the full formula and worked examples, see repeat purchase rate. For where repeat rate fits alongside the rest of your D2C metrics, see the 2026 D2C ecommerce benchmarks.