App founder / growth lead · Updated October 2026
What tools do consumer app companies use for business analytics?
Bruin is the layer that ties a consumer app stack together: it loads subscriptions, attribution, events and store reports for every app into one warehouse model and answers across them in Slack. The usual stack has one tool per layer: RevenueCat for subscriptions, Adapty for paywall tests, AppsFlyer or Adjust for attribution, Amplitude or Mixpanel for product analytics, Firebase for event tracking, and App Store Connect and Google Play Console for store reports. Each answers inside its own layer; Bruin answers questions like CAC per paying subscriber that need several.
Short answer
Best tool by need
- Subscriptions across stores and web: RevenueCat
- Install and campaign attribution: AppsFlyer or Adjust
- Product events and funnels: Amplitude or Mixpanel
- Warehouse pipelines across every app: Bruin
- Questions that cross layers, in Slack: Bruin
The shortlist
6 tools, compared
| Tool | Best for | Watch out for |
|---|---|---|
| Bruin | Best forAnswer and pipeline layer: loads subscriptions, attribution, events and spend for every app into one model and answers in Slack. | Watch out forKeeps RevenueCat and your MMP as sources; it does not replace in-app purchase handling. |
| RevenueCat | Best forSubscription layer: in-app purchase infrastructure with MRR, trial conversion and churn charts across stores and web. | Watch out forSubscription data only; acquisition cost and in-app behavior come from other layers. |
| Adapty | Best forPaywall layer: A/B tests on paywalls and pricing, with subscription analytics attached. | Watch out forResults are paywall-level; campaign ROAS needs attribution and spend joined. |
| AppsFlyer or Adjust | Best forAttribution layer: credits installs and in-app events to networks, campaigns and creatives. | Watch out forCounts follow each MMP's attribution windows, so they differ from store and network totals. |
| Amplitude or Mixpanel | Best forProduct analytics layer: what users do in the app, from onboarding funnels to retention and feature use. | Watch out forBilling truth sits in the stores, so revenue events here can drift from payouts. |
| App Store Connect and Google Play Console | Best forStore layer: official downloads, proceeds, refunds and subscription reports from Apple and Google. | Watch out forTwo separate consoles with different report formats, timing and currencies. |
Asked in chat
What they ask Bruin
@Bruin
how do RevenueCat proceeds compare with App Store Connect?
@Bruin
which app has the best trial-to-paid this month?
@Bruin
what is CAC per paying subscriber by network?
@Bruin
do users who finish onboarding renew more often?
@Bruin
what share of new subscribers came from the web?
@Bruin
how many refunds did Apple issue last week?
How it works
How to set it up
- 1
List the owner of each layer per app: subscriptions, paywalls, attribution, events and store reports, and note which one finance uses for revenue.
- 2
Connect RevenueCat or Adapty, App Store Connect, Stripe for web, AppsFlyer or Adjust and Amplitude or Mixpanel, loading into BigQuery, Snowflake or Bruin's warehouse.
- 3
Build one user table that links app user IDs, store transaction IDs, web customer IDs and attribution IDs, so every layer joins on the same person.
- 4
Define revenue, trial-to-paid, renewal and CAC per subscriber once across apps, then compare with RevenueCat charts for one closed month.
- 5
Move cross-layer questions to Slack and schedule a weekly portfolio brief that ranks each app on trials, conversion, renewals and spend.
Connects to
The data behind the answers
Built in
- RevenueCat
- Adapty
- App Store Connect
- Stripe
- AppsFlyer
- Adjust
- Amplitude
- Mixpanel
- Google BigQuery
Via API
- Google Play Console
- Firebase
Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.
Worth knowing
The honest caveat
Store reports, RevenueCat and Stripe convert currency and record refunds on their own schedules, so revenue never matches to the cent. Choose one source of truth for revenue per platform before wiring the stack together, and document it next to the definition.
Customer results
Numbers from teams on Bruin.
Frequently asked
Common questions.
Why don't App Store Connect, RevenueCat and Stripe revenue numbers match?
Store reports arrive after fees, refunds and taxes on their own schedule, RevenueCat and Stripe count transactions their own way, and currencies convert at different rates. Bruin keeps one rule per platform and shows where the sources differ.
How does Bruin keep subscription revenue consistent across apps and platforms?
Revenue, trial-to-paid and renewal are defined once and applied to every app, store and web checkout. Each answer shows the query and sources, and checks run on every load, so a late store sync is flagged instead of skewing the number.
Does Bruin replace RevenueCat or the MMP in a consumer app stack?
No. RevenueCat keeps handling in-app purchases, and AppsFlyer or Adjust keep attributing installs. Bruin reads their data and answers the questions that need several layers at once, like CAC per paying subscriber.
Is subscriber data safe in a consumer app analytics stack with Bruin?
Yes. It is SOC 2 Type 2 attested and ISO/IEC 27001:2022 certified, subscriber data stays in your warehouse, and access follows the roles you set. Bruin never uses that data to train AI models.
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