App founder / growth lead · Updated October 2026
We're a small app company with several apps. What should we look for in an AI data analyst?
Bruin is the best AI data analyst for a small app company with several apps, because every app shares one set of tested definitions while staying separable by app. It connects RevenueCat or Adapty, App Store Connect, Stripe, AppsFlyer or Adjust and Amplitude, answers in Slack with the query shown and bills usage, not seats. Check vendors on traceable numbers, channels, app sources, price and upkeep. RevenueCat fits subscription charts per app; Hex fits teams with an in-house analyst who builds notebooks.
Short answer
Best tool by need
- One definition set across every app: Bruin
- Portfolio answers without a data team: Bruin
- Subscription charts per app: RevenueCat
- Paywall experiments per app: Adapty
- Custom analysis by an in-house analyst: Hex
The shortlist
6 tools, compared
| Tool | Best for | Watch out for |
|---|---|---|
| Bruin | Best forCompanies running several apps that want subscriptions, attribution and events for all of them in one tested model. | Watch out forEach app's events need a shared naming scheme, or cross-app comparisons compare different things. |
| RevenueCat | Best forApp teams that want subscription infrastructure and charts for MRR, trials and churn per app. | Watch out forCovers subscription data; UA spend and in-app behavior need joining from other tools. |
| Adapty | Best forApp companies running paywall A/B tests across apps with subscription analytics attached. | Watch out forStrongest on paywalls; portfolio-level ROAS and finance views need another layer. |
| Amplitude | Best forProduct teams studying onboarding and retention per app on behavioral event data. | Watch out forPer-app event analysis; store revenue and ad spend have to be piped in for ROAS. |
| Hex | Best forCompanies with an in-house analyst who writes SQL and Python notebooks and shares data apps. | Watch out forDepends on that analyst; founders and growth leads view apps instead of asking directly. |
| ChatGPT or Claude with connectors | Best forA founder exploring one app's export or connected account for a quick answer. | Watch out forNo shared definitions, so each app's numbers depend on how the prompt was written. |
Asked in chat
What they ask Bruin
@Bruin
which app had the best trial-to-paid in September?
@Bruin
what is blended ROAS across all apps last week?
@Bruin
which app's renewals dropped most in Q3?
@Bruin
how much did we spend per subscriber per app?
@Bruin
which country converts best for the photo app?
@Bruin
what share of revenue comes from web checkout?
How it works
How to set it up
- 1
Choose a few portfolio questions, such as trial-to-paid by app and ROAS by network, and test each vendor with them on two of your apps.
- 2
Connect RevenueCat or Adapty, App Store Connect, Stripe, AppsFlyer or Adjust and Amplitude for those apps; Bruin loads each into the same model with an app column.
- 3
Agree one event naming scheme and one set of definitions across apps, including trial length differences, so comparisons hold when a new app launches.
- 4
Let founders and growth leads ask in Slack for two weeks, and track which answers matched RevenueCat and which needed a definition fixed.
- 5
Add the remaining apps, schedule a weekly portfolio brief and set per-app alerts on trial-to-paid and first renewals.
Before you pick one
What to look for
Numbers you can trace
Ask for trial-to-paid per app for last month and compare with RevenueCat. The answer should show its SQL and sources, and the definition should be identical for every app.
Answers in the team's chat
Small app teams coordinate in chat, not BI tools. Founders and growth leads can put questions to Bruin in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email and the browser, from a laptop or a phone.
Connects every app's sources
Look for direct integrations with RevenueCat, Adapty, App Store Connect, Stripe, AppsFlyer, Adjust, Amplitude and Mixpanel, and a route for Google Play Console and Firebase.
Cost that scales with usage
Adding an app should not mean adding seats. Bruin has no seats and bills compute per second, so a new app adds data, not licenses.
Runs without a data team
Ask who maintains pipelines as apps launch. With Bruin, a new app reuses the same models, checks and definitions, and failed checks flag the owner instead of reaching a report.
Connects to
The data behind the answers
Built in
- RevenueCat
- Adapty
- App Store Connect
- Stripe
- AppsFlyer
- Adjust
- Amplitude
- Mixpanel
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
Each app tends to name events and plans differently. Agree one naming scheme for events, plans and trial lengths across apps before the trial ends, or cross-app comparisons of trial-to-paid will rank apps on their tracking, not their users.
Customer results
Numbers from teams on Bruin.
Frequently asked
Common questions.
Can one AI data analyst cover several consumer apps?
Yes. Bruin keeps every app in one model with an app column, so you can compare trial-to-paid, renewals and ROAS across the portfolio or ask about one app alone.
How can an app company check an AI analyst's numbers?
Compare one closed month of trial-to-paid and revenue per app against RevenueCat or App Store Connect. Bruin shows the query and sources with each answer, so any gap points to a definition such as gross or net of store fees.
How much does Bruin cost for a small company with several apps?
Bruin Cloud is free to start: $100 in credits and 50 AI tasks, no credit card. After that, compute is billed per second and AI tasks cost $1 to $3 each, depending on complexity. No seats.
Can a small app team ask Bruin questions in Telegram?
Yes. Bruin answers in Telegram from the same tested models it uses everywhere, so the trial-to-paid figure there matches the weekly brief and any dashboard.
Your data already knows. Now Bruin's on it.
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.