App analytics: the eight events worth instrumenting first
Most apps track either almost nothing or several hundred events nobody reads. A small deliberate set, defined before launch, answers the questions you will actually ask.
Key takeaways
- Instrument install, first open, account created, action started, action completed, error, return, and churn.
- Define event names, properties and trigger conditions before building, or the numbers will be subtly wrong.
- Read everything split by platform, device class, country and interface language; aggregates hide fixable problems.
- Crash rate biases analytics upward, because users who crash never reach the events you measure.
Instrument the core funnel and nothing else at first: install, first open, account created, the core action started, the core action completed, an error encountered, a return visit, and uninstall or churn. Eight events, defined before launch, answer the questions you will actually ask in the first quarter. Several hundred events answer none of them, because nobody reads them.
Define them before you build
Write the event names, their properties and their exact trigger conditions in a document that engineering and the business agree on. Analytics implemented ad hoc produces events that fire in slightly different circumstances than anyone assumes, and the resulting numbers are wrong in ways that take months to discover. Naming conventions matter more than they seem: inconsistent names make the data unusable at exactly the point you need it.
The questions the eight events answer
- Do people who install ever open it, and how many drop between store and first screen.
- Where in the core flow do they stop. This is the single most valuable output and the reason to instrument the action as started and completed rather than only completed.
- How often are people hitting errors, on which devices and in which country.
- Do they come back. Day one, day seven and day thirty return rates tell you whether you have built something useful or something novel.
Segment by the things that vary
Read every number by platform, device class, country and language. An aggregate retention figure can hide the fact that the app is performing well on iOS in one market and badly on mid-range Android in another, which is a fixable problem invisible in the total. For bilingual apps, splitting by interface language frequently reveals that one version has a broken flow nobody on the team uses.
Crash reporting is not analytics
Install crash and error reporting separately and treat crash-free session rate as a headline number. An app with a two per cent crash rate has an analytics problem too, because the users who crash never reach the events you are measuring, which biases everything else upward.
Privacy and declarations
Every analytics SDK collects identifiers, and those collections must appear in your store privacy declarations. Decide what you genuinely need before adding a library that collects everything by default, and remember that regional data protection regimes in Saudi Arabia and the UAE now apply to what you gather. Collecting less is both a compliance position and a performance one, since every SDK costs start-up time.
Several hundred events answer nothing, because nobody reads them. Eight, defined before launch, answer everything you will ask.