When Should You Retarget Past Customers? Use Time Between Orders to Find the Right Window
Most retargeting audiences are built on a guess: "purchased in the last 180 days," minus "purchased in the last 7." Time between orders replaces that guess with your own data. It measures how long repeat customers take to come back, and it tells you three things your ad account needs to know: how long to leave a new buyer alone, when a reminder is likely to help, and when someone has gone quiet long enough to justify a win-back offer.
The catch is that timing only describes customers who did come back. It says nothing about the ones who never will. To set retargeting windows that hold up, you need both numbers.
Two different retention questions
Time between orders answers "how fast do repeat buyers return?" Repeat purchase rate answers "how many customers return at all?" They are separate measurements, and mixing them is the most common mistake in retention-based ad planning.
- Time between orders is calculated only on customers with two or more orders. Retention tools such as Lifetimely report it this way, excluding one-time buyers and showing the cumulative share of repeat orders over time.
- Ecommerce repurchase rate covers everyone. Eightx's 2026 benchmark roundup puts the cross-vertical average at about 28%, which means most first-time customers never order again.
A brand can have a fast 20-day median return time and a weak 18% repeat rate. That combination says: the people who come back do it quickly, so spend early, and don't keep paying to chase the rest for months.
What does time between orders look like in 2026?
Most second orders happen fast. Eightx's analysis of repeat purchase timing found that 50.3% of repeat orders occur within 30 days and 76.4% within 90 days, with a typical median time to second purchase of 15 to 35 days. The mean runs much longer, 50 to 100+ days, because a small group returns after many months.
Across all repeat orders, not just the second, cadence varies sharply by category. Eightx's 2026 median days between orders by vertical:
- Supplements and vitamins: about 30 days
- Pet food and supplies: about 30 days
- Food and beverage: about 45 days
- Beauty and skincare: about 75 days
- Apparel and fashion: about 120 days
- Home goods and furniture: about 270 days
Use the median, not the average. Most store dashboards default to the mean, which a handful of once-a-year buyers can drag far out. Benchmarks are a sanity check. Your own distribution is what sets the windows.
How to turn your repeat purchase timing into three ad windows
Pull your time between orders distribution, then mark where cumulative repeat orders reach roughly 25%, 50%, and 80%. Those three points become your suppression, retargeting, and win-back windows.
Window 1: Suppress recent buyers
From the day of purchase until about the 25th percentile of return time, keep paid ads away from new buyers. They are still receiving the product, and post-purchase email does the job at zero media cost. AdBeacon's Recent Buyers Exclusion audience handles this, and a Product-Specific Exclusion keeps buyers of a single item from seeing ads for what they just bought.
Window 2: Start retargeting
Between the 25th percentile and roughly the 80th, retarget with full-price creative: replenishment reminders for consumables, complementary products for apparel or home. This is where the bulk of repeat orders land, so paid support has the best odds of actually changing behavior.
Window 3: Test win-back offers
Past the 80th percentile, the odds of a natural return fall off. This is where a win-back offer belongs. AdBeacon's RFM audiences make the split easy: About to Sleep and At Risk customers get the first test, Can Not Lose Them get a more personal approach, and Hibernating and Lost get capped spend until a test proves they are worth more.
Keep test budgets small. If your repeat rate is low, most of this audience will not return at any price. Start with a modest offer, hold out a slice of the audience, and compare returning-customer revenue between the two groups before you scale the discount.
AdBeacon builds Recent Buyers Exclusion and RFM audiences from your store data and checks retargeting on click-only attribution.
Check retargeting results against clicks, not views
Retargeting past customers is where self-reported platform ROAS is most generous, because these buyers would often return on their own. A customer who saw a Meta ad on day 40 and bought from a replenishment email on day 42 can still show up as a Meta conversion under a view window. Our piece on view vs click attribution covers why that matters.
AdBeacon uses click-only attribution built on first-party store data, so an order is credited to an ad only when there is a tracked click. It shows AdBeacon ROAS next to platform-reported ROAS and splits new vs returning customers for each campaign. If your Window 2 retargeting looks great in Ads Manager but returning-customer revenue on click-based data barely moves, the window is probably too early or too broad. Lookback windows in AdBeacon go up to 180 days, long enough to cover slower categories.
For more on modeling the next order, see using data to predict the next purchase.
A holiday wrinkle: October buyers before BFCM
Your timing data also tells you who to hold back during Black Friday week. A customer who bought at full price in mid-October is inside Window 1 or early Window 2 when the November 27 discount ads go live. If your median return time is 30 days or more, put October buyers on suppression for Black Friday prospecting and discount retargeting, and reach them through email instead. Adobe expects Cyber Week discounts to reach up to 30% off list price this year, and showing that discount at peak CPMs to someone who just paid full price costs you twice.
Build windows from your own timing data
Time between orders tells you when repeat buyers come back. Repurchase rate tells you how many do. Use the first to set suppression, retargeting, and win-back windows, and the second to decide how much budget those windows deserve. To see your customers' repeat timing next to click-based retargeting results, book a live AdBeacon demo and look at your own numbers.
Frequently Asked Questions
What is time between orders in ecommerce?
Time between orders is the number of days between a customer's consecutive purchases, measured only on customers who order more than once. Brands use the median because a few slow buyers distort the average.
How long should I suppress recent buyers from ads?
Suppress recent buyers until about the 25th percentile of your own time between orders. Consumables brands usually land on a shorter window than apparel or home brands.
What is the difference between repeat purchase rate and time between orders?
Repeat purchase rate measures what share of customers buy again. Time between orders measures how quickly those repeat buyers return, so you need both to plan retargeting.
When should I send a win-back offer?
Test win-back offers once a customer passes roughly the 80th percentile of your repeat timing distribution, when the odds of a natural return drop off.
Should I retarget October buyers during Black Friday?
Usually not with discount ads. If your median return time is 30 days or longer, October buyers are still early in their cycle, so suppress them from Black Friday paid campaigns and use email instead.