Studio head / live ops · Updated October 2026

What is the best AI data analyst for mobile gaming studios?

Bruin is the best AI data analyst for mobile gaming studios that want ROAS, retention and LTV counted once across attribution, ad revenue and store revenue. It joins AppsFlyer or Adjust installs, AppLovin MAX ad revenue, App Store Connect purchases, Firebase events through BigQuery and spend from Google Ads, Meta Ads and TikTok Ads, then answers in Slack and alerts on campaigns. GameAnalytics fits studios that want free standard game KPIs and benchmarks; devtodev fits teams that want predefined game reports.

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Short answer

Best tool by need

ROAS and LTV across attribution and revenue: Bruin
Live ops and A/B test readouts in Slack: Bruin
Free standard game KPIs and benchmarks: GameAnalytics
Predefined game reports: devtodev
Install attribution per network: AppsFlyer or Adjust

The shortlist

6 tools, compared

Tool	Best for	Watch out for
Bruin	Best forStudios that want attribution, ad revenue, in-app revenue and spend joined, with D7 ROAS and LTV tested and answered in Slack.	Watch out forFirebase arrives through its BigQuery export and GameAnalytics through its API, so both take an extra setup step.
GameAnalytics	Best forStudios that want free, game-specific analytics with standard KPIs and benchmarks against other games.	Watch out forCovers game KPIs; joining them with ad spend, store revenue and finance happens elsewhere.
devtodev	Best forGame teams that want analytics with predefined game reports instead of building their own.	Watch out forStrongest on its predefined reports; studio-specific definitions and cross-tool joins need more work.
Firebase and GA4	Best forDefault mobile event tracking for many studios, with a BigQuery export of raw events.	Watch out forEvents only; spend, ad revenue by network and store payouts need joining in the warehouse.
AppsFlyer and Adjust	Best forMobile measurement: attributing installs and in-app events to networks, campaigns and creatives.	Watch out forAttribution partners rather than a full analytics layer; store payouts and finance stay outside.
Amplitude	Best forBehavioral analytics on player events: funnels, retention curves and segments across sessions.	Watch out forEvent-based, so ROAS needs spend and ad revenue piped in from other tools.

Asked in chat

What they ask Bruin

@Bruin
what was D7 ROAS by network last week?
@Bruin
which campaigns are under 1x D7 ROAS for two days?
@Bruin
how did the Halloween event move D1 retention?
@Bruin
what is ARPDAU split by ads and IAP this month?
@Bruin
which countries have the best D30 LTV per install?
@Bruin
did the new tutorial lift D1 retention in test B?

How it works

How to set it up

1
Connect AppsFlyer or Adjust first, then AppLovin MAX for ad revenue, App Store Connect for purchases and Google Ads, Meta Ads and TikTok Ads for spend.
2
Turn on the Firebase BigQuery export and connect Google BigQuery, so session and progression events join installs and revenue by user and cohort.
3
Define installs, D1 and D7 retention, ARPDAU, D7 ROAS and LTV once, choosing which source is the truth for installs; each is tested whenever new data loads.
4
Add Bruin to the UA and live ops Slack channels, ask by game, country, network and campaign, and check the query shown under each answer.
5
Set rules such as D7 ROAS under 1x for two days, posting the campaigns and tagging the UA manager, and allow pausing only once the team agrees.

Connects to

The data behind the answers

Built in

AppsFlyer
Adjust
AppLovin MAX
App Store Connect
Google Ads
Meta Ads
TikTok Ads
Apple Ads
Google BigQuery

Via API

Firebase
GameAnalytics
Unity Ads
Google Play Console

Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.

Worth knowing

The honest caveat

Install counts never match exactly across the MMP, the stores and the ad networks. Pick which source is the truth for installs and which for spend before comparing ROAS with dashboards the UA team already trusts, or every review starts with reconciling.

Customer results

Numbers from teams on Bruin.

All customer stories

88% less
data warehouse cost
Read the Lessmore story
3x faster
pipeline setup for new games
Read the StarBerry story
95% faster
error detection and resolution
Read the Spektra Games story
~33%
fewer A/B tests to run
Read the M8 Games story

Frequently asked

Common questions.

Does Bruin work with AppsFlyer, Adjust, Firebase and GameAnalytics?

Yes. AppsFlyer, Adjust, AppLovin MAX, App Store Connect and the major ad networks connect directly. Firebase comes in through its BigQuery export, and GameAnalytics through its API.

How do I know an AI data analyst's ROAS and LTV numbers are right?

Ask for the query. Bruin shows the SQL and sources under every answer, and D7 ROAS, retention and LTV each have one definition, with checks that run before Bruin answers.

How is Bruin different from GameAnalytics?

GameAnalytics gives free, game-specific KPIs and benchmarks from its own SDK events. Bruin joins game events with attribution, ad revenue, store revenue and spend, so you can ask what a campaign or live ops event did to ROAS and LTV.

Does a mobile game studio need a data team to use an AI data analyst?

Not with Bruin. Most studios start with attribution and revenue, then ask in Slack, and a data person, if you have one, builds on the same models in Git.

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 Mobile gaming

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