How to Increase Repeat Purchases in Ecommerce: A Practical Growth System
Most brands do not have one repeat-purchase problem.
They have several.
One group of customers never makes order number two.
Another group comes back, but much later than similar customers.
Some customers keep buying the same product but never move deeper into the range.
Others become excellent repeat buyers and then quietly disappear.
If you treat all four problems as:
“We need better retention,”
you will probably end up doing a lot of activity without knowing which behaviour you are actually trying to change.
The better question is:
Where exactly does the customer relationship stop progressing?
That is where repeat-purchase strategy should begin.
The first purchase is only the beginning
Bluecore’s retail benchmark data shows how severe the first drop can be. It reports that nearly three-quarters of retailer customers in its dataset are “one-and-one” buyers who purchase once and do not progress to another order. Once someone buys twice, however, Bluecore reports that the likelihood of a third purchase rises by 95%. (bluecore.com)
RetentionX reports a similar shape in its direct-to-consumer benchmarks. Its published benchmark says an average brand gets about 30% of customers from order one to order two, while top brands can reach approximately 45%; the probability of another order then rises as customers move further through the purchase sequence. (retentionx.com)
The exact percentages will vary by category and dataset.
The important pattern is more durable:
The earliest repeat purchase is often the hardest one to earn.
That means you cannot improve repeat purchases intelligently without knowing where the largest drop occurs.
The four repeat-purchase problems
I would separate the work into four questions.
1. Are enough customers making the second purchase?
If not, the first problem is not loyalty.
It is progression.
The customer tried you once and never developed a habit.
This is the Second-Purchase Window problem.
2. Are repeat customers buying at the right frequency?
A customer may technically be repeating but doing so more slowly than they could.
If a coffee customer who normally buys every 30 days begins buying every 70 days, your repeat-customer rate may not immediately look terrible.
But customer value is weakening.
This is a purchase-cycle problem.
3. Are customers progressing into the right next products?
The next purchase does not always need to be the same product.
RetentionX’s Follow-Up Purchases report is designed around this exact question: after a customer begins with Product A, what products do customers most commonly buy in orders two and three? (help.retentionx.com)
For some businesses, repeat growth comes from replenishment.
For others, it comes from progression across the catalogue.
4. Are valuable repeat customers disappearing?
A customer can successfully make orders two, three and four and still lapse later.
Now the problem changes again.
The business is no longer trying to prove the relationship.
It is trying to understand why an established relationship stopped.
That is where Revenue Recapture becomes particularly relevant.
Start with the purchase funnel
Do not begin by asking:
Which retention tactics should we try?
Start with:
Where do customers fall out?
Suppose:
100,000 first-time customers
30,000 make order two
18,000 make order three
13,500 make order four
11,000 make order five
Now calculate progression:
Order 1 → 2 = 30%
Order 2 → 3 = 60%
Order 3 → 4 = 75%
Order 4 → 5 = 81%
The first transition is clearly the largest leak.
That means improving the first-to-second purchase transition is likely more valuable than spending months optimizing the fifth purchase.
RetentionX explicitly recommends looking at repeat purchase as a funnel by purchase number rather than relying on one blended retention metric. (help.retentionx.com)
Why customers do not buy again
You cannot fix repeat purchase simply by sending more reminders.
Attentive’s 2026 survey of 600 U.S. consumers asked what would stop shoppers from returning to a new brand.
The most common answers included:
- price felt too high for the value received: 45%
- low product quality: 41%
- poor customer service: 34%
- slow shipping: 25%
- bad return policy: 22%
- irrelevant product recommendations: 17%
- poor shopping experience: 17%. (attentive.com)
Look at that list carefully.
Only one of those is really a messaging problem.
If customers believe your product is not worth the price, sending them six emails does not fix value perception automatically.
If shipping is poor, the repeat-purchase problem may actually be an operations problem.
If recommendations are irrelevant, it may be a merchandising problem.
That is why repeat purchase is a company problem before it is an email problem.
Improve the product experience before asking for another purchase
Attentive also found that 69% of shoppers said post-purchase content such as reviews, care instructions, and product-use content made them feel more confident about their purchase. (attentive.com)
This is more important than it looks.
Immediately after buying, customers are still deciding whether the product deserves a place in their life.
For many products, the best retention message after order one is not:
“Buy again.”
It is:
“Here is how to get the result you bought this for.”
That might include:
- how to use the product properly,
- what results to expect,
- when to use it,
- how much to use,
- what mistakes to avoid,
- where to get support.
The repeat purchase is often earned before the customer is asked for it.
Product A should not automatically lead to the same post-purchase journey as Product B
This is one of the biggest opportunities in lifecycle marketing.
Suppose a wellness brand sells:
Product A: daily supplement
Product B: reusable blender
Product C: 90-day protocol kit
These products should not have the same follow-up sequence.
Product A may need:
- habit-building,
- replenishment timing,
- subscription option.
Product B may need:
- onboarding,
- usage ideas,
- accessories,
- complementary products.
Product C may need:
- education over a much longer period,
- no replenishment prompt for months.
Klaviyo’s current product-analysis tools explicitly use product-level repeat timing and cross-purchase patterns to help brands time follow-up messages based on actual behaviour rather than one universal delay. (help.klaviyo.com)
Timing can be as important as the message
Klaviyo describes an example where NANI had been following up roughly 30 days after a purchase but discovered that customers buying disposable masks often repurchased closer to day 10. Adjusting the timing based on actual product behaviour reportedly improved repeat purchasing. (academy.klaviyo.com)
The lesson is simple:
A good message delivered after the purchase has already happened is late.
And a good message delivered long before the customer needs the product can be irrelevant.
This is why time-between-order analysis matters.
Repeat purchase should not automatically mean discount
Discounting can increase response.
That does not make it the right first strategy.
Attentive found that promotions are a major reason customers return, but it also found strong roles for product quality, fair value, shipping and customer service. (attentive.com)
If a customer would naturally reorder in five days, giving them 20% off today may simply reduce margin.
I would use incentives more deliberately:
- after expected purchase timing has passed,
- for customers who need additional motivation,
- where expected future value justifies the cost.
Loyalty programs can help, but they are not the foundation
LoyaltyLion’s 2026 study of 4,000 U.S. and U.K. consumers who belonged to at least one ecommerce loyalty program found that 90% said membership influenced them to purchase repeatedly from the same brand. (loyaltylion.com)
That supports loyalty as a repeat-purchase mechanism.
But the sample is already composed of loyalty-program members.
So I would not conclude:
“Install a loyalty program and retention is solved.”
A loyalty program amplifies a relationship that already has value.
It does not rescue:
- poor product quality,
- wrong replenishment timing,
- weak customer experience,
- irrelevant merchandising.
Build around customer behaviour, not marketing calendars
A useful repeat-purchase system might look like this:
After order one
Help the customer succeed.
Before the expected second-purchase window
Introduce the most relevant next action.
Around expected purchase timing
Make reordering easy.
After the customer moves beyond expected timing
Shift into reactivation.
Once the customer becomes a proven repeat buyer
Expand product relevance and protect the relationship.
That is much more coherent than:
Day 2 thank you
Day 7 cross-sell
Day 14 coupon
Day 60 win-back
for everybody.
The economics of moving the second purchase
Imagine:
100,000 first-time customers
Average order value:
$75
Current second-purchase rate:
20%
That gives:
20,000 second orders
= $1.5 million in second-order revenue
Improve the second-purchase rate to 24%.
Now:
24,000 second orders
= $1.8 million
Difference:
$300,000
And that only counts order two.
If second-time buyers become more likely to progress to later orders, the actual downstream value is larger.
This is why a four-point change can matter materially at scale.
Repeat purchase affects how hard acquisition has to work
Gorgias reports that repeat customers represent only 21% of customers across its merchant dataset but account for 44% of revenue and 46% of orders. (gorgias.com)
Common Thread Collective approaches this from a cash-flow perspective. Rather than focusing only on theoretical lifetime value, it recommends tracking how customer value multiplies inside shorter 60- to 120-day periods tied to the business’s natural reorder cycle. (commonthreadco.com)
That is a useful mindset.
The question is not merely:
Do customers come back eventually?
It is:
Do they create additional contribution quickly enough to improve the economics of growth?
A practical repeat-purchase diagnostic
Before adding another retention tactic, I would ask:
Purchase funnel
Where is the largest drop between order numbers?
Timing
How long does each transition normally take?
Product
Which first products produce the strongest repeat behaviour?
Next product
Do customers reorder or cross-sell?
Experience
What customer complaints correlate with low repeat?
Value
Which cohorts generate the strongest contribution after acquisition?
Lapse
Where do previously healthy customers begin to deteriorate?
Those questions tell you what kind of retention problem you actually have.
The real repeat-purchase system
Increasing repeat purchase is not about persuading everyone to shop more often.
It is about making the next sensible purchase easier to happen.
Sometimes that means:
better onboarding.
Sometimes:
better product quality.
Sometimes:
a replenishment reminder.
Sometimes:
a next-product recommendation.
Sometimes:
a loyalty benefit.
Sometimes:
recovering a customer whose pattern broke.
The tactic comes after the diagnosis.
Related reading
Why Customers Don’t Make a Second Purchase
How Repeat Purchase Changes Customer Acquisition Economics
Want to know where your repeat-purchase leak actually sits?
The Revenue Recapture Analysis looks at where customer value stops progressing and which cohort we would investigate first.