Use Case

Repeat Purchase Optimization

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Overview

What this means for operators

Customer acquisition cost keeps rising, which means retention and repeat purchases determine whether your business model works. But most operators track aggregate repeat rates without segmenting by acquisition channel or product. The result is scaling channels that produce one-time buyers and under-investing in channels that produce loyal, repeat customers.

Acquisition costs are rising, but you do not know which channels produce customers who come back. Without repeat purchase data by channel, you are scaling acquisition blindly.

The problem

Acquisition costs are rising, but you do not know which channels produce customers who come back. Without repeat purchase data by channel, you are scaling acquisition blindly.

What operators do today

Common workarounds that fall short

Aggregate repeat purchase rate calculated without any channel or product segmentation

Manual cohort analysis in spreadsheets updated quarterly — too infrequent for real-time decisions

First-order metrics (CPA, initial ROAS) used as proxies for long-term customer value

No way to identify which products serve as gateways to repeat purchases

Results you can expect

Measured outcomes from Fairview users

By channel

repeat purchase rates segmented by acquisition source for precise budget allocation

Gateway SKUs

identified — the products that bring customers back for second and third orders

30/60/90d

retention curves visible by cohort without manual spreadsheet analysis

Features used

Powered by

Repeat Purchase Dashboard Cohort LTV Tracker Blended ROAS Dashboard

What operators say

"Google Ads customers had a 38% repeat rate. Meta Ads customers had 11%. Same product, same price, same landing page. Without that data, we would have kept splitting budget evenly."

Amy Richardson

Head of Retention, Briar & Bloom (D2C skincare, subscription + one-time)

Explore more

Related use cases

LTV by Acquisition Channel Calculate True ROAS SKU-Level Profitability

Try it yourself

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FAQ

Frequently asked questions

Percentage of customers in a cohort who make more than one purchase within a given time window.
Yes. Fairview shows which products are most commonly part of repeat orders, helping you identify gateway products.
Shopify or Stripe for order and customer data. Ad platform connections for acquisition channel attribution.
When you see that Google Ads customers have a 35% repeat rate and Meta Ads customers have a 12% repeat rate, you can allocate budget to the channel that produces more valuable long-term customers.

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