Firebase Analytics setup

Firebase Analytics setup is a one-off implementation project: we connect the Firebase SDK in the app (iOS/Android, Flutter/React Native/web if needed), design the event model (like GA4 — everything is events), tag key events and mark conversions, set up user properties, audiences, funnels, retention reports and free raw-data export to BigQuery for accurate analysis. Honestly about requirements: access to the app code and a new store release are needed — the SDK is embedded into the build, data flows after the release and accumulation. Honestly about specifics: the standard Firebase reports may apply sampling and privacy thresholds at high volumes — for accuracy BigQuery is used; Firebase, ad-account and store numbers diverge (different models/attribution) — this is normal, there is no 'single truth'. Honestly about the ecosystem: Firebase Analytics is tightly tied to Google/Firebase — a plus when using other Firebase services, but also a lock-in to the ecosystem. Honestly about the essence: this is collection setup, NOT analysis and NOT metric growth — Firebase shows behavior, conclusions and improvements are yours or your analyst's; the implementation itself does not raise the metrics. Honestly about data: what is counted is what is tagged (garbage in, garbage out). Honestly about the platform: Firebase Analytics is free (with limits/sampling); other paid Firebase services and large BigQuery volumes are billed directly by Google — separately. Privacy: in-app collection needs consent/a policy and store rules (iOS ATT), the legal assessment is given by a lawyer, we do not guarantee compliance. Maintenance: when the app updates the tagging needs upkeep. An important boundary: this is Firebase setup for an app, not website web analytics (though GA4 unifies them), not app development and not buying traffic; it overlaps with AppMetrica — we discuss the choice for your stack. If there is no app, the service is not needed. Picture this: instead of 'we don't understand what users do in the app' you see event analytics and retention, with deep analysis possible in BigQuery. The base price starts from 18,000 ₽ per project; it depends on the platforms and the number of events.

• You do not understand user behavior in the app.
• Events and conversions in the app are not tagged.
• There are no funnels, retention and audiences by actions.
• Firebase data diverges from accounts and stores and it is unclear why.

• Connecting the Firebase SDK (iOS/Android, cross-platform/web if needed)
• Event model and conversion marking
• User properties and audiences
• Funnels and retention reports
• Raw-data export to BigQuery (on request)
• Verification of tagging correctness
• Dashboards for key app metrics
• Handover of access and a short instruction

• Trustworthy app event analytics
• You understand what is counted and why it diverges from accounts/stores
• Funnels, retention and audiences by real actions
• A base for deep analysis in BigQuery (analysis — separately)

• We clarify platforms, events, whether BigQuery is needed; collect access to the app code
• We embed the SDK, tag events/conversions, set up audiences and export
• We verify after release on real data, hand over access and an instruction

• Will Firebase raise installs and retention?

  No. Firebase measures behavior, but by itself it does not raise the metrics. Conclusions and improvements are made by you or an analyst; growth is separate work (ASO, ads, product), not a consequence of the implementation.

• Why does Firebase data diverge from accounts and stores?

  Different attribution models, windows and counting methods, plus sampling in the standard reports. There is no single 'correct' number — for accuracy we use BigQuery and agree on the methodology.

• Firebase or AppMetrica?

  Both are free app analytics with funnels and retention. Firebase is tightly integrated with the Google/Firebase ecosystem and BigQuery; AppMetrica with the Yandex ecosystem. We advise for your stack and tasks.