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The Retention Lever: How To Optimise Repeat Purchase Using Your Own Data

Retention is where the profit lives

The first order often barely covers what you paid to win the customer. The second order is where the business starts to make money, and every order after that is profit you didn’t have to buy again.

That’s why retention is the lever that makes growth sustainable. A brand that builds for repeat purchase needs less ad spend every year. A brand that doesn’t has to keep buying the same growth, at an ever-rising price.

And it’s built from your own data. Your customers have already told you when they come back, what they come back for, and why they bought in the first place.

Signs retention is holding you back

  • You don’t know what share of customers buy a second time, or how long it takes them.
  • Your welcome emails are mostly a discount code.
  • There’s no automated email to win back customers who’ve gone quiet.
  • Ad spend keeps rising just to keep revenue where it is.
  • You sell something people use up, but there’s no way to subscribe.
  • Every customer gets the same emails, whatever they bought and why.

How to find the leak

QuestionWhere the answer is
What share of customers buy a second time?Lifetimely’s repeat purchase rate
How long do customers usually take to come back?Lifetimely’s time between orders
Which first purchases create the most loyal customers?Lifetimely cohorts, broken down by first product
Why did customers buy in the first place?Fairing’s post-purchase survey answers
Do my emails land before customers drift away?Klaviyo flow reports, compared with the time between orders
Which products get bought again and again?Your order history: products reordered at regular intervals

How to optimise it

  1. Know your two numbers. Your repeat purchase rate, and the typical gap before a second order.
  2. Find the products that create loyal customers. Some first purchases lead to a second far more often. Feature them in your ads and on your homepage.
  3. Time your emails to the gap. Land your post-purchase emails before the typical gap closes, not on a fixed schedule someone guessed at.
  4. Make them useful, not just a discount. How to use it, how to care for it, what to try next, built from what customers told you about why they bought.
  5. Win back the ones who drift. An automated email when a customer passes their expected reorder date.
  6. Offer a subscription where it fits. For products people use up, make the next order automatic.
  7. Measure lifetime value by cohort. Each month’s new customers should be worth more than the last.

The tools from the toolbox

  • Klaviyo: email and SMS tied directly into your store, automating welcome, post-purchase and win-back flows with segmentation and personalised recommendations.
  • Juo: subscriptions, from curated boxes to replenishment plans, with personalised add-ons and incentives that keep subscribers longer.

The insight comes from the measurement layer: Lifetimely for repeat rate, time between orders and cohorts, and Fairing for why customers bought, synced straight into Klaviyo.

Do it yourself this week

  1. Find your repeat purchase rate and the typical number of days between a first and second order.
  2. List your top five first-purchase products, and the timing and content of your current post-purchase emails.
  3. Paste it all into Claude or ChatGPT with this prompt:

“Here is my repeat purchase rate, the typical days between first and second order, my top first-purchase products, and my current post-purchase emails with their timing. Tell me where my emails land too late, which first products I should push harder, and draft a three-email post-purchase sequence timed to land before customers usually drift away. No discount codes in the first two.”

  1. Rebuild your post-purchase flow around that timing.
  2. Run it for one full reorder cycle and compare the repeat rate with the cohort before.

Read next

Retention closes the loop. When customers keep coming back, you can afford to pay more to win new ones, and the whole machine compounds.

Not sure which lever to start with? Take the free Optimisation Audit to find your biggest marginal gain.


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Ian Rhodes

Written by Ian Rhodes

Fractional Ecommerce Growth Director with 28 years of ecommerce leadership and 750+ brands worked with. Hired to prioritise and lead the work that delivers next stage growth.

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