TL;DR: Bruin is the best mobile game analytics tool for studios that want live ops, UA, monetization, and finance to get answers from one governed source, because it joins attribution, revenue, ad spend, and event data in your warehouse, checks it, and answers in plain English in Slack, Discord, or Teams. The other tools worth knowing in 2026 are Google Analytics for Firebase, GameAnalytics, Unity Analytics, Amplitude, Mixpanel, AppsFlyer, Adjust, BigQuery, Snowflake, Looker, Tableau, and Hex. They split into four layers: event and player analytics (Firebase, GameAnalytics, Unity Analytics, Amplitude, Mixpanel), attribution (AppsFlyer, Adjust), warehouses (BigQuery, Snowflake), and the BI and AI analyst layer where people ask questions (Bruin, Looker, Tableau, Hex). Most studios run one tool from each layer, so the real choice is which layer becomes the place everyone trusts.
If you run data at a mobile studio, you already know the problem: the data is everywhere. Installs and attribution live in your MMP, in-game events in Firebase or GameAnalytics, monetization in your ad and IAP reports, and finance in a spreadsheet. Every team has its own dashboard, none of them agree, and the answer to "how is the new event actually doing" takes a day to assemble. So "what tools do mobile gaming companies use for analytics" is really several questions, one per layer of the stack.
We build Bruin, so you know where we stand. We work with mobile studios such as Lessmore Games, StarBerry Games, and M8 Games, and we also say plainly where another tool is the better pick: you still need an event SDK and an MMP, and early on a small studio may need nothing more than GameAnalytics or Unity Analytics. For the product view, see Bruin for gaming studios; for the plumbing, see exporting Firebase data to BigQuery and exporting Adjust data to cloud storage.
Key takeaways
- Studios run a stack, not one tool. Most combine 4 layers: an event tool, a mobile measurement partner, a warehouse, and a place where people ask questions.
- Free event tools have limits that show up at scale. Google Analytics for Firebase exports up to 1 million events a day to BigQuery on a standard property, and Unity Analytics charges per monthly active user above its free tier.
- Most vendors now ship an AI assistant, and each one sees only its own data. GameAnalytics, AppsFlyer, Amplitude, and Mixpanel all added AI agents, but ROAS and LTV need attribution, revenue, and spend joined together.
- Trust decides whether live ops uses it. The question that matters is "is this number right", so pick an answer layer that shows the query, the sources, and whether the data passed its checks.
How we compared
- The job it does: collecting events, attributing installs, storing data, or answering questions.
- Access to player-level data: whether you can query raw events in SQL or land them in your own warehouse.
- Who can use it: analysts only, or live ops, UA, product, and finance too.
- How cost scales, in words: free tiers, paid add-ons, or pricing per monthly active user.
- AI features, and which data they can see.
Facts about each tool come from its public documentation, checked in November 2026. Facts about Bruin come from our docs and pricing page.
What mobile gaming analytics actually needs
A studio's analytics has to serve five jobs at once:
- Live ops: how is the current event, sale, or update performing, right now.
- Monetization: ARPDAU, LTV, IAP and ad revenue, by cohort and segment.
- User acquisition and attribution: which campaigns and networks bring players worth keeping.
- Product and engagement: retention curves, funnels, progression, churn drivers.
- Finance and the board: revenue, spend, margin, runway, in numbers everyone trusts.
No single tool does all five well. That is why studios run a stack, and why the real prize is a layer that can answer across all of them from the same governed data.
Best mobile game analytics tools by job
If you are shortlisting mobile game analytics tools, map each tool to the question first:
- Event and player analytics: event tracking, funnels, retention, segmentation. Google Analytics for Firebase, Amplitude, Mixpanel, and the game-specific GameAnalytics and Unity Analytics sit here.
- Attribution and MMPs: measure where installs and revenue come from. AppsFlyer and Adjust sit here.
- Warehouses: the central, governed store the rest of the stack should feed. BigQuery and Snowflake are the common picks.
- BI and AI analyst layer: turn the warehouse into answers, dashboards, and decisions. Looker, Tableau, Hex, and AI data analysts like Bruin sit here.
The 13 mobile game analytics tools at a glance
| Tool | Layer | Player-level data in your own warehouse | Best for |
|---|---|---|---|
| Bruin | AI data analyst + data platform | Yes (runs on your warehouse) | Live ops, UA, monetization, and finance answers from one governed source |
| Google Analytics for Firebase | Event analytics | Yes (BigQuery export, daily cap on standard properties) | Free event tracking that lands in BigQuery |
| GameAnalytics | Game analytics | Partial (paid plans) | Game KPIs and market benchmarks out of the box |
| Unity Analytics | Game analytics | Partial (SQL Data Explorer inside Unity) | Studios building in Unity |
| Amplitude | Product analytics | Yes (warehouse exports) | Deep funnels, retention, and experiments |
| Mixpanel | Product analytics | Partial (Data Pipelines add-on) | Self-serve event analysis for product teams |
| AppsFlyer | Attribution (MMP) | Partial (Data Locker, premium) | Attribution across mobile, web, CTV, PC, and console |
| Adjust | Attribution (MMP) | Partial (raw CSV files to your cloud storage) | SKAN analysis and fraud prevention in the MMP |
| BigQuery | Warehouse | Yes | The default home for Firebase data |
| Snowflake | Warehouse | Yes | Modelling across many sources |
| Looker | BI | Yes (queries it) | Governed dashboards on a semantic model |
| Tableau | BI | Yes (queries it) | Visual, exploratory dashboards |
| Hex | Notebooks + BI | Yes (queries it) | Analyst notebooks and data apps |
Best mobile game analytics tool by need:
- Live ops, UA, monetization, and finance answers from one governed source, in Slack or Discord: Bruin
- Free event tracking that lands in BigQuery: Google Analytics for Firebase
- Game KPIs and market benchmarks out of the box: GameAnalytics
- Analytics, A/B tests, and player segments for a Unity game: Unity Analytics
- Deep funnels, retention, and experiments: Amplitude
- Self-serve event analysis for product teams: Mixpanel
- Attribution across mobile, web, CTV, PC, and console: AppsFlyer
- SKAN analysis and fraud prevention from the MMP: Adjust
- A warehouse that Firebase exports to natively: BigQuery
- A warehouse for modelling across many sources: Snowflake
- Governed dashboards on a semantic model: Looker
- Visual, exploratory dashboards: Tableau
- Analyst notebooks and data apps: Hex
The 13 tools, one by one
1. Bruin
What it is: an AI data analyst on an end-to-end data platform. AppsFlyer, Adjust, GameAnalytics, Amplitude, RevenueCat, AppLovin, Unity Ads, TikTok Ads, Meta, Google Ads, and App Store Connect connect directly, Firebase comes in through its BigQuery export, and anyone can ask in plain English in Slack, Microsoft Teams, Discord, Google Chat, WhatsApp, Telegram, email, or the browser.
Where it wins: D7 ROAS, retention, ARPDAU, and LTV are defined once, so live ops, UA, and finance get the same number, with the query and sources behind it. Underneath sit ingestion, SQL and Python pipelines, quality checks, and column-level lineage, and Bruin can build the dashboards, post a daily ROAS brief, or post the campaigns in Slack when D7 ROAS drops below a rule you set. M8 Games uses Bruin to narrow a churn drop to two or three likely causes, which it expects to cut its A/B tests by about a third, and Lessmore Games reports 88% lower warehouse costs since moving to Bruin. Pricing is not per seat, so the whole studio can ask.
Where it falls short: Bruin does not collect in-game events or attribute installs, so you still need an event SDK and an MMP. It has no market benchmarks or competitor ad data, and answers only become useful once at least one source is connected and the team agrees on metric definitions.
Best for: studios that want every team to ask questions across events, attribution, revenue, and spend from one governed source. See Bruin for gaming studios and the AI data analyst.
2. Google Analytics for Firebase
What it is: Google's free event analytics for apps, with unlimited reporting on up to 500 distinct events defined through the Firebase SDK, and a link to BigQuery for raw event data.
Where it wins: it is free and easy to instrument, and the BigQuery export gives you raw events in a daily table plus an intraday table streamed in real time, which is why so many studios build on it.
Where it falls short: standard properties export at most 1 million events a day to BigQuery (Google Analytics 360 removes that limit), and most of the value sits in the export rather than the console. M8 Games found that bulk Firebase numbers left it guessing why players churned.
Best for: studios that want free event tracking that lands in BigQuery.
3. GameAnalytics
What it is: analytics built for games, covering mobile, Roblox, VR/AR, and PC and console. AnalyticsIQ gives ready-made KPIs, funnels, cohorts, A/B testing, and remote configs; MarketIQ adds market benchmarks and competitor ad insights; PipelineIQ adds raw data export, API access, an MCP server, and a managed BigQuery warehouse.
Where it wins: the free plan has no MAU cap and includes dashboards, live ops tools, and an AI Agent that answers questions without SQL.
Where it falls short: player-level export and the warehouse sit on paid plans, and the AI Agent only sees GameAnalytics data, not your attribution, ad spend, or finance numbers.
Best for: studios that want game KPIs and benchmarks out of the box.
4. Unity Analytics
What it is: Unity's analytics service for games, with core metrics, dashboards, A/B testing, player segments (Audiences), and push notifications. Its SQL Data Explorer runs queries on Snowflake, and games on other engines can send events through a REST API. It replaced deltaDNA, which Unity shut down on 3 March 2024.
Where it wins: for a Unity game, events, segments, and A/B tests sit in Unity's own services, and you can write SQL against granular event data without running a warehouse.
Where it falls short: it is free up to a monthly active user threshold and then priced per monthly active user, and it only holds what the game sends, not attribution or ad spend. Unity notes that it does not cover every deltaDNA feature.
Best for: studios building in Unity that want analytics and A/B tests in one place.
5. Amplitude
What it is: a product analytics platform with funnels, retention, session replay, experimentation, and AI agents, plus an MCP server for using Amplitude data from other AI tools.
Where it wins: behavioral depth: the funnels, retention, and segmentation that product teams live in, and raw event data can be loaded into your own Snowflake account.
Where it falls short: it is built around product behavior, not attribution, ad revenue, or finance, so ROAS and net revenue questions need data from elsewhere.
Best for: product teams that live in funnels, retention, and experiments.
6. Mixpanel
What it is: an event analytics platform with session replay, experiments, metric trees, and Mixpanel AI agents that watch the product and surface insights.
Where it wins: a self-serve, event-centric feel that product managers pick up quickly, and you can start for free.
Where it falls short: exporting raw events to BigQuery, Snowflake, or Databricks uses Data Pipelines, a paid add-on for Growth and Enterprise plans, and like Amplitude it does not hold attribution or finance data.
Best for: product teams that want quick, self-serve event analysis.
7. AppsFlyer
What it is: a mobile measurement partner (MMP) that now calls itself a marketing cloud: attribution across mobile, web, CTV, and PC and console, fraud protection, deep linking, a data clean room, and an Agentic AI Suite with an AI assistant and MCP.
Where it wins: UA teams get attribution, revenue, and engagement data in one view across channels, with fraud filtering.
Where it falls short: it is one source among several. Raw data delivery to your own storage or warehouse (Data Locker) is a premium feature, and joining it with in-game events and finance still happens elsewhere.
Best for: UA teams measuring campaigns across mobile, web, and PC and console.
8. Adjust
What it is: a mobile measurement partner for attribution, with Datascape for reporting that compares network, attribution, SKAdNetwork, and ATT data in one interface, and a Fraud Prevention Suite sold as an add-on.
Where it wins: Datascape lets UA teams read SKAN data next to network and attribution data, and raw data can be uploaded hourly to your own cloud storage as CSV files.
Where it falls short: fraud prevention is an add-on you enable through Adjust, and like any MMP it does not hold in-game events or finance data.
Best for: UA teams that want SKAN analysis and fraud prevention from their MMP.
9. BigQuery
What it is: Google Cloud's data warehouse, and the native destination for Google Analytics for Firebase exports.
Where it wins: Firebase events arrive without a pipeline to build, you can start in the BigQuery sandbox at no cost within its limits, and GameAnalytics' managed warehouse also runs on BigQuery. M8 Games and StarBerry Games both run their data on BigQuery.
Where it falls short: it is storage and compute, not answers. Someone still has to load attribution and revenue data, model it, and build the layer people ask questions in.
Best for: studios on Firebase that want one place to join events with everything else.
10. Snowflake
What it is: a cloud data platform, and the engine behind Unity Analytics' SQL Data Explorer.
Where it wins: it suits modelling across many sources, AppsFlyer's Data Locker and Mixpanel's Data Pipelines can deliver straight into it, and Snowflake CoWork (formerly Snowflake Intelligence) lets business users ask questions in plain language.
Where it falls short: like any warehouse, it needs pipelines and models before anyone gets answers, and its AI features only see data in Snowflake.
Best for: studios modelling data from many sources in one place.
11. Looker
What it is: Google's BI platform with a governed semantic model (LookML) and Conversational Analytics, which answers plain-language questions about Looker Explores.
Where it wins: consistent metric definitions, so "D7 retention" means the same thing in every dashboard.
Where it falls short: LookML is a real modelling investment, and someone still builds the dashboards and keeps the warehouse loaded.
Best for: studios with a data team that wants governed dashboards on a semantic model.
12. Tableau
What it is: Salesforce's visual analytics tool, with Tableau Pulse for metric digests on Tableau Cloud and Tableau Agent for building visualizations and asking questions in plain language.
Where it wins: flexible, visual exploration that analysts like.
Where it falls short: dashboards still need someone to build and maintain them, and asking Tableau Agent questions in Pulse needs Tableau+ or a Try AI trial.
Best for: analysts who want visual, exploratory dashboards.
13. Hex
What it is: an analytics platform for people and agents: SQL and Python notebooks, shareable data apps, a Notebook Agent, and conversational analytics for business users, with a Slack integration.
Where it wins: analysts move fast from question to notebook to shareable app, and the agent can draft the analysis.
Where it falls short: it reads a warehouse you load and test elsewhere, and it is built first for people comfortable with data. See Hex vs Bruin.
Best for: analysts who want notebooks and data apps on the warehouse.
How studios actually combine these
A common 2026 setup: instrument with Google Analytics for Firebase, GameAnalytics, or Unity Analytics, measure UA with AppsFlyer or Adjust, land everything in BigQuery or Snowflake, and put an AI data analyst like Bruin on top so live ops, UA, product, and finance can all self-serve from the same governed data. The product team may still keep Amplitude or Mixpanel for deep funnels. The point is not to collapse the stack to one tool, it is to give every team one place to ask questions and trust the answer.
StarBerry Games works this way with one person covering both analytics and engineering: its product team now asks basic data questions through Bruin's AI data analyst in Slack, which cut the ad-hoc requests reaching that person. Read the StarBerry story.
What to look for in an AI data analyst for gaming
If you are evaluating AI data analyst tools for a studio, test these before you sign anything:
- Does it join attribution, revenue, and ad spend in one model? ROAS and LTV are wrong if installs, revenue, and spend are counted in different places.
- Does every answer show its query and sources? Live ops and UA will not act on a number they cannot check.
- Are game metrics defined once? D1 retention, D7 ROAS, ARPDAU, and LTV should have one definition every answer uses.
- Does it check the data before it answers? A failed overnight load should be flagged, not presented as a fresh number.
- Can people ask where they already work? Slack and Discord matter more than another login.
- Is it priced per seat? Per-seat pricing quietly decides who gets to ask.
Which mobile game analytics tool should you pick?
| Your situation | Pick | Why |
|---|---|---|
| Live ops, UA, and finance need the same numbers, in Slack or Discord | Bruin | Attribution, revenue, spend, and events in one governed model, with the query behind each answer |
| A small team needs game KPIs this week | GameAnalytics | Free plan with no MAU cap and ready-made game dashboards |
| You need free event tracking that lands in a warehouse | Google Analytics for Firebase | Free, with a daily and an intraday BigQuery export |
| You build in Unity and want analytics with A/B tests | Unity Analytics | Events, segments, and A/B tests in Unity's own services |
| UA needs attribution across mobile, web, and PC and console | AppsFlyer | Attribution, revenue, and engagement data in one view, with fraud protection |
| UA wants SKAN analysis and fraud prevention in its MMP | Adjust | Datascape puts SKAN, network, and attribution data side by side |
| Your product team lives in funnels and experiments | Amplitude | Deep behavioral analysis with experimentation built in |
| Your analysts want notebooks on the warehouse | Hex | SQL, Python, and shareable apps in one place |
When Bruin is not the right pick
If you are soft-launching one title and your questions fit inside GameAnalytics or Unity Analytics dashboards, start there; both are free to begin. If you only need attribution, your MMP's own reporting covers it. If you already have a data team that models everything in BigQuery and lives in Looker or Hex, another tool may not pay off yet. Bruin earns its place when the questions span events, attribution, revenue, and spend, and when live ops, UA, and finance need the same number without waiting on an analyst.
FAQ
What tools do mobile gaming companies use for business analytics?
Most studios combine an event tool (Google Analytics for Firebase, GameAnalytics, or Unity Analytics), an MMP (AppsFlyer or Adjust), a warehouse (BigQuery or Snowflake), and a layer where people get answers. Bruin is that answer layer for studios that want live ops, UA, and finance to ask in plain English from one governed source.
What is the best AI data analyst for gaming?
Bruin, because it joins AppsFlyer, Adjust, GameAnalytics, RevenueCat, ad network, and Firebase data in one model and answers in Slack, Discord, or Teams with the query behind each number. The AI assistants inside GameAnalytics, AppsFlyer, or Amplitude only see their own data.
We're a 50-person gaming studio evaluating AI data analyst tools. What should we look for?
Check that it joins attribution, revenue, and ad spend in one model, shows the query and sources behind every answer, and is not priced per seat. Bruin does all three, and StarBerry Games runs it with one person covering both analytics and engineering.
What's the best tool for live ops teams to get instant answers from game data?
An AI data analyst on your warehouse, so live ops can ask in Slack how an event is doing against last month and get a live answer. Bruin does this and can also post a recurring live ops brief or an alert when a metric moves.
Do mobile studios need a data warehouse?
Yes, once you have more than a couple of sources, because events, attribution, ad revenue, and IAP only join up in one place. BigQuery is common because Firebase exports to it natively, and Bruin runs on BigQuery or Snowflake.
Is GameAnalytics free?
GameAnalytics has a free plan with no MAU cap, while raw data export and its managed warehouse come with paid plans. Bruin connects to GameAnalytics directly and joins it with your attribution and revenue data.
What happened to deltaDNA?
Unity shut deltaDNA down on 3 March 2024 and moved customers to Unity Analytics. Bruin does not replace an event tool like that; it joins event data with attribution, revenue, and spend in your warehouse.
Can Bruin replace Firebase, AppsFlyer, or Adjust?
No. Bruin does not track in-game events or attribute installs, so you keep an event SDK and an MMP, and Bruin answers questions across their data.
How do studios combine product analytics, attribution, and finance data?
They land it all in one warehouse and put a layer on top that joins across sources for metrics like blended ROAS, LTV by acquisition source, or net revenue by title. Bruin defines those metrics once, so every team gets the same number.
See it for your studio
If you want live ops, monetization, attribution, and finance questions answered from one governed source, see how Bruin works for gaming studios, check pricing, or read how to get your data there with Firebase to BigQuery and Adjust to cloud storage.