Where Measurement Quietly Breaks
1. Attribution windows rarely reflect real user behavior
A 7-day click window is a convention.
Not a law of physics.
Some users install immediately.
Others research for weeks.
Some products monetize on Day 3.
Others monetize on Day 90.
When attribution windows fail to match actual behavior, optimization starts favoring short-term visibility instead of long-term value.
You may not be optimizing growth.
You may be optimizing for what your attribution setup can see.
2. Teams optimize for measurable events instead of meaningful outcomes
Most teams optimize toward fast signals:
- Registration
- Tutorial completion
- Trial start
- First purchase
- Early engagement events
Those signals matter.
But they’re still proxies.
And proxy optimization creates drift.
Over time, you start scaling campaigns that generate measurable actions — not necessarily valuable customers.
The easiest event to measure is rarely the most important one.
3. Attribution explains who got credit — not what caused growth
This is where measurement gets dangerous.
If users would have installed anyway because of:
- Brand awareness
- Organic search
- Word of mouth
- Existing demand
Paid channels can still receive credit.
Reports look efficient.
ROAS looks healthy.
Budgets increase.
Meanwhile, incremental growth may barely move.
Without incrementality testing, reported performance and actual contribution slowly drift apart.
And the larger budgets become, the more expensive that gap gets.
