Which campaigns drove qualified events?
Analyze attributed outcomes with governed definitions and explicit date windows.
Use authorized AppsFlyer installs, in-app events, revenue, retention cohorts, re-engagement, and postback evidence as the attribution baseline for paid growth analysis.
Connect the app and reporting access available to your workspace.
Investigate acquisition, event quality, revenue, retention, or attribution differences.
Review date scope, cohort maturity, freshness, joins, and unmatched evidence.
APPSFLYER ANALYSIS
Analyze attributed outcomes with governed definitions and explicit date windows.
Keep D0, D1, D3, freshness, and incomplete cohorts explicit.
Preserve af_with_media, af_only, and media_only relationships instead of dropping unmatched evidence.
ATTRIBUTION EVIDENCE
Attribution is treated as governed outcome evidence, not as a decorative total beside media spend.
Compare attributed installs, reinstalls, re-engagement, and source contribution where available.
Use in-app events, revenue, and mature cohort evidence to judge downstream quality.
Connect attributed outcomes to delivery using governed source identifiers rather than names.
Separate delayed, partial, unauthorized, failed synchronization, no-delivery, and true-zero evidence.
APPSFLYER FAQ
For the current app-growth data model, AppsFlyer provides the governed attributed outcome baseline while media sources supplement spend, delivery, status, budget, and bid evidence.
No. Names are not stable keys. The governed model uses platform identifiers and preserves unmatched media-only or AppsFlyer-only evidence.
No. Missing or delayed evidence remains unavailable or partial; it is not filled with a fabricated zero.
Pair AppsFlyer outcomes with delivery while keeping the join and cohort window visible.