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Answer

How do you increase repeat purchase rate?

By CartKernel ยท Last reviewed

In short

Work in this order: find out why people did not come back, give them something worth buying next, contact them at the moment they would naturally need it, and make reordering effortless. Most stores skip the first step and start with discounts, which buys a second order at a price that removes the reason for wanting one. Measure it by cohort rather than as a blended figure, because a blended repeat rate moves with how much new traffic you bought last month.

Start with the reasons people did not return

The answers are usually already in your business. Support tickets, return reasons, review text and a short survey to one-time buyers will tell you more in a fortnight than any retention tactic will achieve in a quarter.

Three causes recur. The product did not meet the expectation the listing created, which is a merchandising and photography problem rather than a retention one. The delivery took longer or cost more than expected, which is an operations problem. Or nothing went wrong and the customer simply had no reason to think about you again.

The first two have to be fixed before any of the rest matters. Emailing a customer who received the wrong size and waited three weeks for a resolution will not produce a second order, and it may produce a complaint.

The third is where the retention work begins, and it is a different problem entirely. That customer was satisfied and forgot, which means the fix is contact, relevance and timing rather than repair.

Give them something obvious to buy next

Many stores have a range problem disguised as a retention problem. If a customer bought the one thing you sell and there is no natural follow-on, no amount of email will produce a second order.

Look for adjacency in what people already buy together. The refill, the companion item, the seasonal variant, the size up for a child, the maintenance product. Those are the second purchases customers are willing to make, and they usually already exist in your data as pairs in the same basket.

Then make that path explicit. The post-purchase sequence, the packaging insert and the account page can all point at the sensible next item rather than at the whole catalogue. Recommending everything is the same as recommending nothing.

Range expansion is the larger version of the same move. A brand with three products has a ceiling on repeat purchase that no marketing can lift, and adding the right fourth product often changes retention more than a year of optimisation.

Time the contact to when they actually need it

Consumables have a consumption cycle, and hitting it is worth more than any offer. A customer who runs out on day forty and hears from you on day thirty-five buys. The same customer hearing from you on day ninety has already bought elsewhere.

Find the interval from your own data rather than guessing. The gap between first and second orders across your existing repeat customers gives you a distribution, and the reminder should land slightly before the middle of it.

Different products have different cycles, so the reminder should be product-aware. A store sending one generic reorder message a set number of days after any purchase is right for a small share of customers and early or late for everyone else.

Where the cycle is reliable, offer a subscription. It converts a reminder into a commitment, and it removes the decision entirely for the customers who were always going to reorder.

Remove the friction and measure by cohort

Reordering should take seconds. Order history with a repeat button, a saved address, a saved payment method and a straightforward account login do more for repeat purchase than most campaigns, and they are usually a theme and account configuration task rather than a marketing one.

On Shopify, the newer customer account experience removes the password barrier, which is a real obstacle for people who bought once months ago. Check what your customers actually see when they try to log in, because a forgotten password is where a second order frequently ends.

Then measure properly. Take customers who first bought in a given month and track what share bought again within ninety days, then within a year, and compare that cohort against earlier ones. A blended repeat rate across the whole store rises and falls with new customer volume and tells you nothing about whether retention improved.

Watch the second order specifically. The largest drop-off in any customer base is between the first and second purchase, and a change that moves that one number moves everything downstream of it.

Cohort view of repeat purchase

Customers first buying in March
1,200
Bought again within 90 days
216, or 18 percent
Bought again within 12 months
372, or 31 percent
Same figures for the June cohort
22 percent and still running
What changed between them
A post-purchase sequence timed to delivery
What a blended rate showed
Almost no movement, because traffic grew

Illustrative cohort figures. The final row is the reason for using cohorts, since a blended store-wide rate is diluted every time acquisition increases.

Related questions

Is a discount the fastest way to get a second order?

It is the fastest and usually the most expensive. A discounted second order arrives at lower margin and teaches the customer to wait for the next code. Use timing, relevance and a genuinely useful next product first, and keep discounts for customers who have genuinely lapsed.

What repeat purchase rate should I aim for?

There is no universal target, because it depends on how often your category is bought at all. The number that matters is your own cohort trend: whether customers acquired this quarter are returning at a better rate than those acquired last quarter, over the same window.

Should I focus on repeat purchase or on new customers?

Both, with the balance set by your margin and payback period. Retention is cheaper per order and cannot grow a business on its own. A practical rule is to fix the obvious retention gaps first, because they raise the value of every new customer you then go and acquire.

Find the leak.

A free Growth Analysis ranks what your store should fix first, by revenue at stake.