LTV, creative volume, and what breaks measurement
Trading margin for lifetime value and shipping creative in volume are both sound strategies. Both also remove the contrast that a causal read depends on, and both are fixable.
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By Joris van Huët, Founder & CEOUpdated 3 min read
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Two of the most defensible growth strategies in ecommerce are also two of the most effective ways to destroy your own measurability. Neither needs abandoning. Both need a small amount of structure they usually do not get.
Strategy one: trade margin for lifetime value
Accepting a worse first order margin to win a customer who reorders is sound. It also changes what "wasted ad spend" means, because the number that would have told you the spend was wasted now arrives months late.
| What you measure | What it misses |
|---|---|
| First order ROAS | The reorders the acquisition bought |
| Blended ROAS this month | Which cohort the revenue came from |
| Lifetime value by cohort | Nothing, but it needs time to exist |
A channel judged on first order return, in a business built on the second order, will be cut for performing exactly as intended. That is not a measurement error. It is a measurement asking the wrong question, which is harder to notice.
The practical fix is unglamorous: judge acquisition channels on cohort revenue at a fixed horizon that you pick in advance, and hold the horizon fixed even when a month looks bad. Changing the horizon after seeing results is how a metric becomes a negotiation.
Strategy two: ship creative in volume
High creative volume works. It also means dozens of variants run concurrently against overlapping audiences, and at that point no single creative has a clean comparison.
- Variants launched on different days share the same weather, promotions, and seasonality.
- Platform delivery concentrates budget on early winners, so the "winner" is partly a delivery artefact.
- A variant that never got meaningful delivery has no result, not a bad result.
The second point is the one that quietly reverses conclusions. A confounding variable that decides which creatives get spend will make the ones it favoured look better regardless of their merit.
What to keep so volume stays measurable
You do not need to slow down. You need three things recorded at the moment of launch.
- A launch timestamp per variant, so cohorts can be compared on equal exposure rather than on calendar date.
- One named difference per variant against a stated reference, so a win points at something.
- A floor on delivery below which a variant is reported as untested rather than as a loser.
That is the same principle as varying one element, applied at a volume that makes the discipline feel expensive and makes it worth more.
Related answers
Frequently asked questions
Does optimising for LTV instead of margin break attribution?
It does not break it, but it changes the question. A channel judged on first order return inside a business built on reorders will be cut for working as designed. Judge acquisition on cohort revenue at a horizon fixed in advance, and do not move the horizon after seeing results.How do I measure creative when I ship dozens of variants a day?
Record a launch timestamp per variant so cohorts are compared on equal exposure, name one difference per variant against a stated reference, and set a delivery floor below which a variant is reported as untested rather than as a loser.Why do winning creatives sometimes not repeat?
Because platform delivery concentrates budget on early leaders, so part of the win is a delivery artefact rather than a property of the creative. The variable deciding who got spend is confounded with the variable you were trying to measure.
Go deeper: Incrementality testing, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- Ad SpendAd Spend is the total amount invested in advertising campaigns. It is measured against Return on Ad Spend (ROAS) to evaluate campaign effectiveness.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Attribution SoftwareAttribution Software measures campaign impact by tracking customer interactions across touchpoints. It assigns value to each channel, showing what drives conversions.
- Causal AttributionCausal Attribution uses causal inference to determine which marketing touchpoints genuinely cause conversions, not just correlate with them.
- ConfoundingConfounding is a distortion of the estimated treatment effect when a third variable, a confounder, associates with both the treatment and the outcome. Causal inference methods control for confounding to isolate the true treatment effect.
- Confounding VariableConfounding Variable is an unmeasured factor that influences both the marketing input and the desired outcome, distorting the true impact of a campaign.
- IncrementalityIncrementality is the part of an outcome, such as orders or revenue, that a marketing activity caused: the extra results compared with what would have happened without it. It is a causal effect, not the number of conversions credited to a channel.
- RevenueRevenue is the total income generated by the sale of goods or services related to a company's primary operations.