Repeat-purchase products and subscriptions are worth more than the first purchase shows. Bidding on customer lifetime value lets you pay more for people who will come back, but it requires reliable data, prudence and tracking of repeat and cancellation rates.
The essentials in a definition
Subscriptions and repurchase change bidding logic: what matters is not only the first sale, but value over the customer’s lifetime. Sending platforms values that reflect that value, with conversions with value and value-based bidding, lets you pay more for those likely to stay. The Consumer Rights Directive sets rules on information, cancellation and renewals.
Why the first purchase misleads
On a 20-euro-a-month subscription that lasts eight months, the customer is worth 160 euros, not 20. If the campaign only accepts paying up to 20 for the first purchase, it loses customers who would have been very profitable. The reverse also happens: paying a lot for someone who cancels in the second month.
The same holds for consumables and regular repurchase products.
How to estimate the value
Use real data: repeat rate at 3, 6 and 12 months, average value per purchase, margin, cancellation rate. Calculate cumulative value per customer and discount for uncertainty. Use cohorts to identify differences by product, offer and channel.
Start with a short horizon (6 months) and extend with evidence.
Bidding on customer lifetime value
- Measure repeat, margin and cancellation
- Calculate expected value with a safety margin
- Set a maximum acquisition cost
- Reassess with real cohorts
How to use it in bidding
Set a maximum acquisition cost as a share of expected value, with a safety margin (for example 30 to 50%). Send conversion values that reflect expected value, or segment campaigns by customer type. Reassess often.
For subscriptions, treat payback of acquisition cost as an indicator: in how many months does it recover the investment?
Paying for the first purchase is expensive if the customer does not return, and cheap if they return ten times.
Risks
Cancellations, cost increases, competitive changes or estimation errors can make the model too optimistic. Monitor the real performance of cohorts and adjust. Mind cash flow: paying now for revenue that arrives later requires financial capacity.
Keep subscription and cancellation terms clear, to avoid complaints.
Decision table
| Metric | Meaning | Use |
|---|---|---|
| Customer lifetime value | Total expected margin over time | Set the maximum acquisition cost |
| Retention rate | Percentage who continue | Assess customer quality |
| Payback time | Period in which the customer repays acquisition cost | Manage cash flow |
| Cancellation rate | Who leaves and when | Improve product and promise |
Common mistakes to avoid
- Optimistic lifetime value. If estimated value is too high, you spend above what the business can bear.
- Ignoring cancellation. High-churn subscriptions destroy return.
- Unclear conditions. Renewals and cancellations must be easy and transparent.
How to measure the result
Track retention by cohort and channel, cumulative value at 3, 6 and 12 months and payback time of acquisition cost.
Limits and exceptions
Lifetime-value estimates are fragile in new businesses or with changes in price and product, and may mislead when retention changes. Long payback periods require financial capacity. Avoid basing big decisions on a single forecast. Start with short horizons (for example, 90-day value) and widen as data allow.
Illustrative example
Illustrative example: a subscription service calculates that the average customer stays 14 months and generates an estimated total margin. It sets maximum acquisition cost as a fraction of that value, keeping a six-month payback period. It sends the platform the predicted value of the first subscription and reviews it each quarter with real retention data.
Frequently asked questions
Can I pay more than the first purchase earns?
Yes, if expected value over time justifies it and cash flow can bear it.
What horizon should I use?
Start with 6 months and extend with evidence.
How do I deal with cancellations?
By including them in the expected-value calculation and tracking them by cohort.
How do I estimate lifetime value?
With monthly margin, observed retention rate and a conservative horizon; review with real data.
What rules must I comply with in subscriptions?
Clear information on price, duration, renewal and cancellation, in line with applicable consumer law.
In subscriptions, optimise for lifetime value, measured by cohorts and with conservative estimates, and comply with transparency and cancellation rules.
Sources and recommended reading
- Google Ads Help: Smart Bidding
- Google Ads API: conversion management
- Consumer Rights Directive (2011/83/EU)
Last editorial review: October 2026. Informational content; always confirm current conditions in the official sources before deciding.