App founder / growth lead · Updated October 2026

What is the best AI data analyst for consumer subscription apps?

Bruin is the best AI data analyst for consumer subscription apps that want trial-to-paid, renewals and ROAS counted once across stores, web and ad networks. It joins RevenueCat or Adapty subscriptions, App Store Connect, Stripe web billing, AppsFlyer or Adjust attribution and Amplitude or Mixpanel events, then answers in Slack and alerts on drops. RevenueCat fits teams that want subscription charts across the App Store, Google Play and web; Adapty fits paywall A/B testing; Amplitude fits behavioral funnels.

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Short answer

Best tool by need

Trial-to-paid and ROAS by campaign: Bruin
One revenue view across several apps: Bruin
Subscription charts across stores and web: RevenueCat
Paywall A/B testing: Adapty
Onboarding funnels on app events: Amplitude or Mixpanel

The shortlist

6 tools, compared

Tool	Best for	Watch out for
Bruin	Best forSubscription apps that want subscriptions, attribution, events and spend joined, with trial-to-paid and renewals answered in Slack.	Watch out forStore and web subscriptions need one user ID mapping before cross-platform conversion is exact.
RevenueCat	Best forIn-app subscription infrastructure with charts for MRR, trial conversion and churn across the App Store, Google Play and web.	Watch out forCharts cover subscription data; ad spend, campaign ROAS and product events sit in other tools.
Adapty	Best forApp teams testing paywalls and pricing with A/B tests and subscription analytics in the same tool.	Watch out forPaywall-centered, so cross-app ROAS and finance questions need another layer.
Amplitude	Best forGrowth teams analyzing onboarding funnels, feature use and retention cohorts on app events.	Watch out forRevenue truth lives in the stores and billing, so subscription numbers must be piped in.
Mixpanel	Best forApp teams that want event-based funnels, flows and retention reports on user behavior.	Watch out forBehavior data, not billing, so refunds and renewals need to come from elsewhere.
AppsFlyer	Best forAttributing installs, trials and subscriptions to networks and campaigns as the app's mobile measurement partner.	Watch out forAttribution view only; renewals months later and web purchases need joining with billing.

Asked in chat

What they ask Bruin

@Bruin
what is trial-to-paid for the annual plan this month?
@Bruin
which campaigns bring trials that convert above 40%?
@Bruin
how did the new paywall change trial starts?
@Bruin
what is month-3 renewal rate for January subscribers?
@Bruin
which app has the highest refund rate this quarter?
@Bruin
what is ROAS on TikTok after store fees?

How it works

How to set it up

1
Connect RevenueCat or Adapty for subscriptions, plus App Store Connect and Stripe if you sell on the web, so every trial and renewal lands in one model.
2
Add AppsFlyer or Adjust for install source and Apple Ads, Meta Ads, Google Ads and TikTok Ads for spend, joined to subscriptions by user and date.
3
Define trial start, trial-to-paid, renewal and refund once, net of store fees or not, and per app if you run several; Bruin tests each definition.
4
Ask in the growth Slack channel by app, plan, country and campaign, and check the query and sources listed under each answer.
5
Schedule a Monday subscription brief and set alerts when trial-to-paid or first renewal drops below the four-week average for any app.

Connects to

The data behind the answers

Built in

RevenueCat
Adapty
App Store Connect
Stripe
AppsFlyer
Adjust
Amplitude
Mixpanel
Apple Ads

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 proceeds arrive net of fees, refunds and taxes on different schedules, so RevenueCat, App Store Connect and Stripe never match to the cent. Decide whether revenue means gross or net of store fees before comparing Bruin with RevenueCat charts.

Customer results

Numbers from teams on Bruin.

All customer stories

Up to 5x less
cost than their Fivetran stack
Read the NativeMinds story
Daily → hourly
Slack alerts, reporting to executives in near real time
Read the NativeMinds story
20+ apps
on one platform, run by one data engineer
Read the NativeMinds story

Frequently asked

Common questions.

How is Bruin different from RevenueCat charts?

RevenueCat charts cover subscription metrics from its own data across the stores and web. Bruin joins that subscription data with attribution, ad spend and app events, so you can ask trial-to-paid and ROAS by campaign in Slack.

How do I know an AI analyst's trial conversion number is right?

Check the query and sources under the answer. Bruin defines trial-to-paid once, per app if needed, tests it on every run and holds back a number when a check fails, such as a late store sync.

Does a small subscription app team need a data engineer to use Bruin?

No. Connect RevenueCat or Adapty and your attribution tool, then ask in Slack. A data engineer hired later inherits those pipelines and tests from your Git repo.

Which subscription app tools does Bruin connect to directly?

RevenueCat, Adapty, App Store Connect, Stripe, Paddle, AppsFlyer, Adjust, Amplitude, Mixpanel, Braze and the major ad networks connect directly. Google Play Console comes in through its API, and Firebase through its BigQuery export.

Keep reading

What is Bruin?

Bruin is an open-source, AI-powered data platform. One project covers the whole path from source to answer: data ingestion (with ingestr), SQL and Python transformations, quality checks, column-level lineage, a data catalog and scheduling. On top of that data, an AI data analyst answers questions in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser, and builds dashboards from a prompt.

Pipelines are plain SQL, Python and YAML files in your own Git repository, and the work runs inside your own warehouse: Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, DuckDB and others. The Bruin CLI is open source under Apache 2.0 and runs on a laptop, in CI or on-prem. Bruin Cloud is optional and adds scheduling, the AI data analyst, governance, SSO and audit logs.

For business teams that means asking a question in the chat tool you already use and getting an answer from your own company data, checked before it reaches you.

Replaces: Separate tools for ingestion, transformation, orchestration, data quality, cataloguing and BI
Open source: Bruin CLI under Apache 2.0; ingestr source-available under the Functional Source License
Your data: Stays in your warehouse; pipelines stay in your Git repository
Security: ISO/IEC 27001:2022 certified and SOC 2 Type 2 attested
Used by: Data teams at Lessmore, StarBerry, NativeMinds, SCG, M8 Games and Fabrikatör

Why Bruin for Consumer apps

Answers where you already work
Ask in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser. There is no new tool to learn and no ticket to file with the data team.
Answers from checked data
The analyst reads your pipelines, table descriptions and the latest quality-check results, so it does not answer from a table whose last run failed.
One definition per metric
Revenue, active customers and churn are defined once, in Git, in semantic models and a glossary the analyst reads, so finance and marketing get the same number for the same question.
Built on a real data platform
Bruin also loads and models the data. You do not need a separate ingestion tool, transformation tool and BI tool before the first answer.

How it works

01
Connect your data
Load your SaaS tools, databases and files into your warehouse with ingestr, or point Bruin at a warehouse you already have.
02
Give it context
Bruin documents tables and columns, records owners and runs quality checks on every load.
03
Ask
Ask in Slack, Teams or the browser. Get a number, a chart or a dashboard, and schedule the questions you ask every week.

How the AI data analyst works Read the docs