OnRamp vs Firebase Analytics
The short answer: Firebase Analytics is free and already in many React Native and Expo apps, but it is a general event-logging tool - not an onboarding analytics tool. Useful funnels and retention in Firebase require significant configuration and often BigQuery exports. OnRamp gives you purpose-built onboarding funnels, retention cohorts, and live sessions with no configuration.
See the full side-by-side OnRamp vs Firebase comparison table for a feature-by-feature breakdown.
What Firebase Analytics does well
- Free, with generous event limits
- Deep integration with the rest of Firebase (Crashlytics, Remote Config, Push)
- Automatic event collection (app_open, screen_view, first_open, etc.)
- Google's infrastructure, so highly reliable
Where Firebase falls short for onboarding
Funnels require BigQuery. Firebase's built-in funnel explorer is limited - it only works with automatically collected events and has no step-by-step drop-off ribbon. Meaningful custom funnel analysis requires exporting to BigQuery, which requires a paid Firebase Blaze plan and SQL knowledge.
Retention is not built in. Firebase has a "User retention" chart that shows day-1 and day-7 retention, but it is not cohort-based and cannot split retention by whether users completed a specific funnel. Getting this view requires BigQuery.
No session timeline. Firebase does not have a per-user session view. You can query individual users in DebugView during development, but there is no production-ready user timeline.
Ad-blocker and privacy risk. Firebase Analytics routes data through Google's infrastructure (firebase.googleapis.com, app-measurement.com). These domains are blocked by many privacy-focused browsers and ad blockers by default.
Side-by-side
| OnRamp | Firebase Analytics | |
|---|---|---|
| Onboarding funnels | Built in, no config | Requires BigQuery + SQL |
| Retention cohorts | Funnel-split, built in | Day-1/day-7 only; cohorts need BigQuery |
| Per-user session view | Yes, with journey map | DebugView only (dev) |
| Live "online now" metric | Yes | No |
| Ad-blocker resilience | Not affected | Blocked by many browsers |
| Data location | EU servers | Google infrastructure |
| HTTP cookies | None | Google cookies |
| Setup time | < 10 minutes | < 10 minutes (for basic logging) |
| Cost | Free trial, then per-MAU | Free (BigQuery extra) |
Can I use both?
Yes. Many teams use Firebase for crash reporting, Remote Config, and push notifications - and OnRamp for onboarding funnel analytics. They don't conflict. Call OnRamp.step() and analytics().logEvent() on the same user action.
When to choose Firebase Analytics
- You are already on Firebase for other features and only need basic event logging
- You have a data analyst comfortable with BigQuery for deeper analysis
- You need the free tier and have no budget for analytics tooling
- Your Google Analytics integration is important for ad attribution
When to choose OnRamp
- You want onboarding funnels without setting up BigQuery or SQL
- You want retention cohorts split by funnel completion, built in
- You want a per-user session view in production
- You want analytics that is not blocked by ad blockers or privacy browsers
- EU data residency and no Google dependency matter to you
Try OnRamp free
Start your 14-day free trial - install the SDK, track your first milestone, and see your funnel populate in real time.
