Repeat Purchase Rate: What It Is, How to Calculate It, and Benchmarks for E-commerce

Repeat purchase rate is the percentage of customers who come back for a second (or later) purchase inside a defined time window. The DTC average sits at 25-30%. It's one of the cleanest reads on customer loyalty and product-market fit you'll get from a single number. A high rate means the first experience worked. A low rate points at a problem with the product, the pricing, or the post-purchase flow.

The economics of e-commerce demand that you take it seriously. First orders rarely turn a profit once you account for acquisition, shipping, and returns. Margin lives in the second and third order. Brands that solve repeat purchasing build durable businesses. Brands that lean entirely on first-time buyers are stuck on the acquisition treadmill, and at Scentbird we watched both kinds run side by side for a decade.

How to Calculate Repeat Purchase Rate

The formula is simple:

Repeat Purchase Rate = (Number of Customers Who Purchased More Than Once / Total Number of Customers) x 100

For a time-bound version (which I recommend, because untracked rates drift):

Repeat Purchase Rate (12-month) = (Customers with 2+ orders in the last 12 months / All customers who placed at least 1 order in the last 12 months) x 100

Example

If your store had 8,000 unique customers in the past 12 months and 2,400 of them placed two or more orders, your repeat purchase rate is:

(2,400 / 8,000) x 100 = 30%

A Few Things That Trip People Up

• Time window matters. A 90-day rate will be much lower than a 12-month rate. Specify the window every time you report or compare.
• Exclude buyers too new to repeat. A customer who placed their first order yesterday hasn't had a chance to come back. For short windows (30-90 days), only count customers whose first purchase was at least one purchase cycle ago.
• Repeat purchase rate isn't retention rate. Retention rate measures how many customers from a specific cohort are still active. Repeat purchase rate measures how many customers across all cohorts have purchased more than once. Both are useful and they answer different questions.

Benchmarks by Vertical

Repeat purchase rates vary widely by category, frequency, and business model. The numbers below are aggregated industry benchmarks for a 12-month window:

Reading Your Number

• Below 20%. Acquisition-dependent. Don't scale ad spend until the post-purchase flow and second-order conversion improve.
• 20-30%. Average. Small retention wins compound into big profitability gains.
• 30-40%. Strong. The lever now is order frequency and AOV among repeat customers.
• Above 40%. You have product-market fit. Invest in loyalty, referrals, and wallet share.

How Repeat Purchase Rate Connects to CLV

Repeat purchase rate is a leading indicator of customer lifetime value, and the relationship is multiplicative.

CLV = AOV x Purchase Frequency x Customer Lifespan

Repeat purchase rate moves both purchase frequency and lifespan, because customers who buy a second time tend to buy a third, fourth, and fifth. A 10-percentage-point lift in repeat purchase rate typically drives a 25-40% increase in average CLV.

The second purchase is the inflection point. Industry data shows that customers who make a second purchase are 45% more likely to make a third, and customers who make a third are 54% more likely to make a fourth. The probability of every subsequent purchase climbs with each transaction. That's why the first-to-second conversion is the highest-impact retention move you can make.

Strategies That Actually Move the Number

1. Fix the Post-Purchase Window

The 14 days after the first order is where most brands lose customers. Inside that window, your job is to:

• Send a shipping confirmation with tracking and an honest delivery estimate
• Follow up with usage tips or setup guidance once the product arrives
• Check in 3-5 days post-delivery to ask how it's going
• Send a personalized recommendation based on what they bought

Brands that build a structured post-purchase email series see second-order rates 20-35% higher than brands sending only transactional emails.

2. Replenishment Reminders

For consumables, timing a reminder to land when the product is running out is one of the most effective things you can do. Calculate the typical consumption window and trigger an email or SMS at 70-80% of that window.

Replenishment reminders convert at 8-15% versus 1-3% for general promo emails. They work because they show up at the moment the customer actually needs to buy.

3. Smart Segmentation

Not all first-time buyers carry the same repeat probability. Smart segmentation picks out the high-potential ones using acquisition channel, first-order composition, and early engagement signals. Concentrate retention investment on the segments that index highest.

Customers acquired via organic search or referral repeat at rates 30-50% above paid social. Customers whose first order included multiple items or higher-AOV products also repeat at higher rates.

4. Loyalty or Rewards

Loyalty programs lift repeat purchase rates by 15-25% by adding an extrinsic reward on top of the product itself. The programs that actually work make the first reward reachable inside one or two purchases. Rewards that take six orders to unlock might as well not exist.

5. Subscription Options

Subscriptions flip the repeat-purchase decision from active to passive. The customer no longer decides whether to buy again. They decide whether to cancel, and inertia favors retention. For consumables, offering subscription pricing with a 10-15% discount converts 15-25% of eligible one-time orders. At Scentbird, subscription was the default and that single architectural choice did more for repeat purchase rate than any single campaign.

6. Win-Back Campaigns

For customers past the expected repurchase window, win-back campaigns re-engage them with targeted offers and personalized messaging. A structured 3-email win-back sequence recovers 5-10% of lapsed customers who would otherwise be gone.

7. Product Quality

No marketing tactic compensates for a product that disappoints. Watch reviews, NPS, and return rates for early signals. Brands with NPS above 50 consistently run 15-20 percentage points higher on repeat purchase rate than brands with NPS below 30.

Tracking It Over Time

Track repeat purchase rate at two levels.

Aggregate Level

Look at the overall rate monthly. Plot it next to acquisition volume so you can tell whether your growth is coming from repeat buyers or new ones. The two stories produce very different P&Ls.

Cohort Level

Track repeat purchase rate by monthly acquisition cohort. This is what tells you whether customers acquired in January 2026 repeat at a different rate than customers from November 2025. Cohorts are how you find out if onboarding or product changes actually moved the needle.

If newer cohorts are repeating at higher rates at the same intervals, your retention work is paying off.

Finsi's retention intelligence tracks repeat purchase rate at both the aggregate and cohort levels, surfaces what's driving the trend, and identifies which segments have the most repeat potential through profit intelligence.

Frequently Asked Questions

What is a good repeat purchase rate for e-commerce?

A good rate depends on the category, but the DTC average sits at 25-30% over a 12-month window. Consumables like supplements, food, and pet supplies hit 35-45% because of natural replenishment. Beauty and skincare run 30-40%. Apparel typically lands at 25-32%, while home goods and electronics run lower at 12-25% because of longer purchase cycles. If your number is below 20%, your business is over-indexed on acquisition and the post-purchase flow is the place to start. Retention teams can benchmark against their vertical inside Finsi's retention intelligence platform.

How do you calculate repeat purchase rate?

The formula is: Repeat Purchase Rate = (Number of Customers Who Purchased More Than Once / Total Number of Customers) x 100. For a time-bound version, divide customers with 2+ orders in a period by all customers who placed at least one order in that same period. If 2,400 of 8,000 customers placed two or more orders in the last 12 months, your rate is 30%. Always specify the window (90-day, 6-month, 12-month). Track it at both the aggregate and cohort level so you can tell whether recent changes are working.

How can I improve my repeat purchase rate?

The highest-impact moves: a structured post-purchase flow within 14 days of the first order with usage tips, satisfaction follow-up, and personalized recommendations (this alone lifts second-order rates 20-35%); replenishment reminders timed to when the product runs out (8-15% conversion vs. 1-3% for promos); a loyalty program with a first reward reachable in 1-2 purchases; and subscription options with a 10-15% discount on consumables. Growth teams should also use smart segmentation to focus retention dollars on first-time buyers with the highest repeat potential. Start a free trial to identify the customers most likely to come back.

What is the difference between repeat purchase rate and retention rate?

Repeat purchase rate measures the percentage of all customers in a window who have purchased more than once - a snapshot across your full base. Retention rate measures how many customers from a specific cohort are still active after a defined period - it tracks how a specific group behaves over time. Both metrics are useful and they answer different questions: repeat purchase rate tells you how much of your business comes from returning customers, while retention rate tells you whether your onboarding and product experience hold cohorts together. Finsi's retention intelligence tracks both automatically.

What are repeat purchase rate benchmarks by industry?

For 12-month rates, subscription boxes lead at 40-55% because repeat is built into the model. Consumables (supplements, food, pet) hit 35-45% on natural replenishment. Beauty and skincare run 30-40%, health and wellness 30-38%. Mid-market apparel sits at 25-32% with seasonal swings. Home goods average 18-25%, luxury goods 15-22%, and electronics 12-18% because of infrequent high-AOV purchases. If you're below your vertical benchmark, prioritize the first-to-second conversion: customers who make a second purchase are 45% more likely to make a third. Use profit intelligence to see which segments and channels carry the highest repeat rates for your brand.