A minimalist image of a small shopping cart casting a shadow on a white surface, captured from above. Ecommerce retention benchmarks for US retailers: the numbers behind repeat purchase
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Ecommerce retention benchmarks for US retailers: the numbers behind repeat purchase

US ecommerce retention benchmarks with real ranges for repeat purchase rate, annual retention, churn and loyalty performance, plus the measurement conditions.

What to take away

  • A typical US store repeats 20 to 30 percent of its customers within 12 months. The top quartile clears 40 percent.
  • Annual retention for non-subscription retail usually lands between 20 and 40 percent, so 60 to 80 percent churn is normal.
  • Retail subscription churn of 5 to 10 percent per month is common.
  • Every number moves with the window, the cohort, and whether refunds are netted out.
  • A 5 percent retention lift has been linked to a 25 to 95 percent profit gain in Bain and Harvard Business Review research.

Repeat purchase rate benchmarks by window

Benchmarks are planning bands, not audited results. Most come from vendor benchmark reports and merchant dashboards. Read the window before you read the number.

Repeat purchase rate benchmarks

MetricCommon rangeWindowWhat moves it
Repeat purchase rate, all customers20 to 30 percent12 monthsCategory, price point, replenishment cycle
Repeat purchase rate, new cohort15 to 25 percent90 daysFirst delivery, onboarding email, packaging
Second order rate25 to 35 percent6 monthsPost-purchase messaging, refill prompts
Revenue from returning customers40 to 50 percent12 monthsAssortment depth, subscription mix

A store selling consumables will beat a store selling furniture on every row. Consumables set a repurchase date. Furniture does not. Comparing the two tells you nothing about your own gap.

If your repeat rate sits at the bottom of these bands, the problem is rarely one campaign. It is usually the join between offer, channel and operations, and an ecommerce marketing strategy that connects all three is the place to start.

Customer retention rate and churn ranges

Annual customer retention for US non-subscription ecommerce commonly falls between 20 and 40 percent. That sounds alarming until you split new buyers from returning ones. New cohorts retain badly. Mature cohorts retain well.

Churn is the same figure read backwards. If retention is 30 percent, churn is 70 percent. Neither number means much without a stated definition of a retained customer.

A retention benchmark you cannot reproduce from your own data is decoration, not evidence.

Some retailers count an email open as retention. Others count a paid order. The gap between those two definitions is wide enough to change a board decision. Check the definition on the report, not only the headline figure.

Measurement conditions that change every number

Five conditions do most of the damage.

  1. Window length. A 90-day rate always beats a 365-day rate.
  2. Cohort versus rolling. Rolling averages hide a collapsing new cohort.
  3. Returns and refunds. Gross repeat rate flatters apparel badly.
  4. Identity. Guest checkout splits one buyer into three profiles.
  5. Acquisition source. Discount-acquired customers repeat less than full-price ones.

Fix those five before you action any benchmark. Customer retention is a defined concept with a settled calculation, so borrow that definition and write it into your dashboard notes.

Fix the measurement, then fix the merchandising. Search demand data tells you which categories deserve the retainer, and ecommerce SEO for 2027 covers how demand, store architecture and crawl controls fit together.

Example: reading a 12-month cohort honestly

Take a store with 10,000 new customers in January. Work through it in order.

Reading a 12-month cohort

  1. Freeze the cohort. Do not add February buyers later.
  2. Net out refunds and cancellations before counting revenue.
  3. Count repeat orders at 30, 90, 180 and 365 days.
  4. Split by first-order discount code and by acquisition channel.
  5. Compare against last year's January cohort, not a vendor headline.

If the 90-day figure is 12 percent and the 365-day figure is 22 percent, you have a normal shape. The gap between them is where win-back email earns its keep.

Loyalty and subscription churn benchmarks

Loyalty members usually repeat more than non-members. The gap narrows once you control for the fact that loyal customers are the ones who join. Paid programs with an annual fee show the clearest separation from matched non-members.

Subscription churn is where money leaks fastest. Monthly churn of 5 to 10 percent means half the base is gone inside a year. Failed payments from expired cards are often the largest slice, and the easiest to recover. The FTC's Negative Option Rule addresses recurring billing and cancellation flows, so read it before you design a retention offer that fires after a cancel click.

For Canadian sellers, GST/HST sits between the price shown and the revenue you keep. A change in provincial mix moves lifetime value, so check the CRA rate guidance when you model it.

Common questions

What is a good ecommerce repeat purchase rate?
For most US stores, 20 to 30 percent over 12 months is normal, and above 40 percent is strong. Compare it against your own category and window.
How is customer retention rate calculated for ecommerce?
Divide customers who ordered again in the period by those who were eligible to order. State the window and whether refunds were removed.
What churn rate should a retail subscription expect?
Five to ten percent per month is common. Above that usually points to onboarding, failed payments or a product that does not fit.
Do loyalty programs improve retention benchmarks?
They correlate with higher repeat rates, but selection effect explains much of the gap. Measure members against matched non-members.

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