Repeat Purchase Rate: What It Means for Ecommerce Growth

A store can be growing while still having a retention problem.

• Paid acquisition is working.
• Revenue is increasing.
• Email is generating attributed sales.

But most customers still buy once and disappear.

That is why repeat purchase rate is one of the ecommerce metrics we pay attention to.

It forces you to look beyond the first transaction.

Not:

Did we acquire a customer?

But:

Did we create another one?

For businesses with genuine repeat purchase potential, that difference has enormous implications for growth.

By Emiel Dingemans, Founder of Magicianly

What Is Repeat Purchase Rate?

Repeat purchase rate measures the percentage of customers who have made more than one purchase during a defined period.

It helps answer:

How many of our customers actually come back?

A business with strong acquisition but weak repeat purchasing can keep growing, but it has to continually replace the customers it loses.

A business with improving repeat behavior gets more value from the customers it already paid to acquire.

Repeat Purchase Rate Formula

A common formula is:

Repeat Purchase Rate = (Customers Who Purchased More Than Once ÷ Total Customers) × 100

If 10,000 customers purchased during your measurement period and 2,500 of them purchased more than once:

2,500 ÷ 10,000 × 100 = 25%

Your repeat purchase rate would be 25%.

Do Not Look at Repeat Purchase Rate Without a Time Window

This is important.

A repeat purchase rate without context can be misleading.

A customer who bought yesterday has barely had the opportunity to purchase again.

A customer acquired 12 months ago has had much longer.

So when evaluating repeat behavior, think in cohorts and time windows.

For example:

• percentage buying again within 30 days;
• within 60 days;
• within 90 days;
• within 180 days.

This gives you a clearer picture of how quickly customers move toward their second purchase.

First-to-Second Purchase Rate Is Often More Actionable

For many ecommerce brands, we care particularly about the transition from purchase one to purchase two.

Why?

Because the first purchase is acquisition.

The second purchase is evidence that the relationship may be becoming repeatable.

If too many first-time buyers disappear after one order, the problem may sit in:

• the product experience;
• customer expectations;
• merchandising;
• post-purchase communication;
• replenishment timing;
• cross-selling;
• customer service;
• the original acquisition source;
• offer quality;
• lifecycle strategy.

Email can influence some of those.

It cannot fix all of them.

That distinction matters.

What Is a Good Repeat Purchase Rate?

There is no universal percentage that every ecommerce brand should target.

This is one of those metrics where context matters enormously.

Consider the difference between:

• a mattress brand;
• skincare;
• coffee;
• supplements;
• fashion;
• luxury jewelry;
• pet food.

The natural purchase cycle is completely different.

A brand selling a product customers buy every month should expect very different repeat behavior from a business selling something replaced every five years.

That is why blindly comparing your repeat purchase rate with a broad ecommerce average is not particularly useful, and it is the same caution we apply to email marketing benchmarks.

A better benchmark is:

How are your own customer cohorts changing?

If customers acquired this quarter are buying again faster and more often than comparable customers acquired last year, that is meaningful.

Why Repeat Purchase Rate Matters for Growth

Repeat behavior affects much more than email revenue.

If more customers purchase again:

• customer lifetime value can increase;
• acquisition costs become easier to absorb;
• payback can improve;
• more revenue comes from existing customers;
• growth becomes less dependent on constantly finding new buyers;
• the business gains a stronger revenue base.

This is why we view retention as a business growth issue rather than an email-only issue.

Why Ecommerce Brands Have Low Repeat Purchase Rates

There are several broad categories.

1. The Product Has Limited Natural Repeat Potential

Email cannot create infinite repeat purchasing for a product people rarely need again.

You first need to understand whether the business naturally supports repeat behavior.

2. Customers Have No Clear Reason to Buy Again

The first product may solve the entire need.

If so, merchandising needs to create a logical next purchase.

What complements the first product?

What does the customer need next?

3. There Is No Structured Post-Purchase Journey

Customers order.

They receive transactional messages.

Maybe a review request.

Then the brand goes back to sending the same campaigns everyone else receives.

That leaves a major lifecycle opportunity unused.

4. The Timing Is Wrong

A replenishment reminder after 15 days is useless if the product lasts 60.

A winback message after 180 days may be too late if customers normally repurchase in 45.

Customer behavior should influence timing.

5. The Brand Depends Too Heavily on Discounts

Discounts can drive transactions.

They can also change customer expectations.

If every repeat purchase requires 20% off, the topline repeat rate may improve while customer profitability does not.

6. Acquisition Quality Is Weak

Not every retention problem originates in retention.

Heavy acquisition promotions can attract customers with little intent to return.

A large influx of low-quality customers can reduce repeat purchase metrics even if the lifecycle program itself has not worsened.

How Email Can Increase Repeat Purchase Rate

Email is especially useful because it gives you an owned channel for continuing the customer relationship after purchase.

Build a Real Post-Purchase Sequence

Do more than confirm the order.

Consider:

• usage education;
• product care;
• expectation setting;
• cross-sells;
• complementary products;
• replenishment;
• customer reviews;
• product discovery;
• loyalty;
• timing based on what was purchased.

In practice this is a coordinated set of automations rather than one email, which is why we map it as part of the wider ecommerce email flow system.

Segment First-Time Customers

A person with one order is not the same as a customer with ten.

Treat them differently.

The first-to-second purchase journey deserves specific attention.

Use Product Data

If customers buy Product A and frequently return for Product B, that is useful lifecycle information.

The next-purchase recommendation should not be arbitrary.

Use Behavioral Engagement

Someone opening every campaign but not purchasing requires a different approach from someone who has completely disengaged.

Engagement can help determine whether you need:

• merchandising;
• education;
• urgency;
• an offer;
• or suppression.

Build Winback Around Customer Behavior

Do not choose a universal “90-day winback” simply because another brand uses one.

Look at when customers normally repurchase.

Then identify the point where someone starts becoming meaningfully overdue.

That is a more useful winback trigger.

Do Not Confuse Repeat Revenue With Incremental Revenue

This is another important distinction.

Your email platform may attribute a repeat order to email.

That does not automatically mean email caused the order.

Some customers would have returned anyway.

That does not make email unimportant.

It means sophisticated measurement requires looking beyond attributed revenue.

Think about:

• cohort behavior;
• holdout testing where practical;
• changes in first-to-second purchase;
• customer purchase intervals;
• repeat revenue trends;
• incremental lift.

The objective is not to maximize what the ESP claims credit for.

The objective is to improve customer economics.

A High Repeat Purchase Rate Is Not Always Good Either

Imagine you massively discount every order.

Customers return frequently.

Repeat purchase rate rises.

But contribution margin falls.

Was that successful?

Maybe not.

Metrics should not be optimized in isolation.

Repeat purchase rate matters because of what it contributes to healthier customer economics, not because a higher percentage looks good on a dashboard.

How to Diagnose a Weak Repeat Purchase Rate

Start with these questions:

1. 1What percentage of first-time customers buy again?
2. 2How long does the second purchase normally take?
3. 3Does repeat behavior differ by first product purchased?
4. 4Which acquisition channels produce the strongest repeat customers?
5. 5Which offers produce weak repeat behavior?
6. 6What do 30, 60 and 90-day cohorts look like?
7. 7What lifecycle communication exists between first and second purchase?
8. 8Are customers being shown a logical next product?
9. 9Are we relying too heavily on discounting?
10. 10Is the underlying product experience actually good enough to generate repeat demand?

These questions are much more useful than simply saying:

Our repeat purchase rate is 23%. Is that good?

The Role of Retention Marketing

Retention marketing is not about forcing every customer to buy more.

It is about increasing the number of customers who have a good reason to stay in the ecosystem.

For email, that means building intentional journeys around:

• what someone purchased;
• when they purchased;
• what they are likely to need next;
• how engaged they remain;
• where they are in the lifecycle.

When that works, email stops being a collection of disconnected sends.

It becomes part of the system that turns acquisition into longer-term customer value.

The Metric Is a Signal, Not the Strategy

Repeat purchase rate tells you what happened.

It does not tell you why.

The useful work starts when you break the number apart.

• By cohort.
• By product.
• By acquisition source.
• By customer type.
• By time to second order.

Then you can decide where email and retention can genuinely improve the outcome.

That is where the metric becomes useful.