Most mobile teams don't lack data. They have attribution dashboards, analytics events, ad revenue reports and store consoles. What they often lack is a short list of numbers that actually change decisions.
A useful metric answers a question someone is about to act on: where should the next dollar of budget go, which creative should we scale, which change should we roll back?
Connect spend to value, not just installs
Installs and CPI tell you what you paid. They don't tell you what you got. The core of decision-ready measurement is linking acquisition cost to what each cohort does afterwards.
- Cohort ROAS by source, campaign and country — read at the days that matter for your payback window.
- Retention by cohort (D1, D7, D30) — the multiplier on every other number.
- ARPDAU and LTV curves — combining ad revenue and in-app purchases.
- Payback period — how long until a cohort returns what it cost.
Read every number in context
A single blended number hides the decisions. Blended ROAS can look stable while one channel carries another that is losing money. Break metrics down to the level at which you actually make decisions — usually campaign, creative set and market.
If a metric doesn't change a decision, it's decoration.
Build the view once
- Agree on definitions — what counts as an install, a payer, a retained user — across attribution, analytics and revenue tools.
- Join acquisition, behaviour and revenue data into one view instead of reconciling three dashboards every week.
- Review the same small set of metrics on a fixed rhythm, and write down the decision each review produces.