Game analytics should answer what players did, where they stopped and how product changes affected value. Ad dashboards answer only part of that.
The right tool depends on who needs the data. Designers need progression and economy reports. Growth teams need attribution. Monetization teams need impression revenue joined with retention and purchases. Analysts need clean export.
Quick comparison
| Tool | Best for | Strongest area | Watchout |
|---|---|---|---|
| GameAnalytics | Indie and mid-sized studios | Game-specific reports | Advanced warehouse work may need export |
| Firebase Analytics | Mobile teams in Google stack | Free event analytics and integrations | Event design still requires discipline |
| Unity Analytics | Unity game teams | Engine-native setup | Best fit is tied to Unity services |
| Amplitude | Cross-functional product teams | Behavioral analysis | Game economy reports need modeling |
| Mixpanel | Fast product exploration | Funnels and cohorts | Costs can grow with event volume |
| devtodev | Free-to-play game teams | Game economy and player analysis | Smaller community than general product tools |
| deltaDNA | Studios needing game personalization | Segmentation and engagement | Confirm current Unity packaging and roadmap |
| Adjust | Paid growth and attribution | Mobile measurement | Product analytics is not its main job |
| AppsFlyer | Large mobile growth teams | Attribution and deep links | Full value often needs paid plan and setup |
1. GameAnalytics
GameAnalytics is built for game developers. It covers acquisition, engagement, progression, monetization and custom events with SDKs for common engines and platforms.
Its documentation positions the product around player journeys and game-specific insight. Review the official product documentation for current SDK and export options.
Best for: Studios wanting useful game reports without building a warehouse first.
2. Firebase Analytics
Google Analytics for Firebase provides app event analytics and connects with Remote Config, Crashlytics, BigQuery, AdMob and Google Ads.
The combination is useful for monetization experiments. Firebase Remote Config can run A/B tests or personalization against analytics events, including ad impressions, purchases and engagement. Firebase documents ad-revenue personalization.
Best for: Mobile teams already using Google services.
3. Unity Analytics
Unity Analytics is part of Unity Gaming Services. It reduces integration friction for Unity projects and connects game events with other Unity services.
Best for: Unity studios that want an engine-aligned default.
Check: Event limits, data access, export path and how deeply your team plans to use Unity’s broader service suite.
4. Amplitude
Amplitude is a product analytics platform with strong funnels, cohorts, retention and behavioral exploration. It works well when designers, product managers and analysts need self-service answers across app and web products.
Best for: Teams treating the game as a continuously measured product.
Check: Event taxonomy, identity resolution and cost at your expected event volume. Game economy views may need custom charts or warehouse modeling.
5. Mixpanel
Mixpanel offers event analytics, funnels, retention, cohorts and dashboards. Its interface is useful for fast exploration without requiring every question to become a data-team ticket.
Best for: Product teams that need quick behavioral analysis.
Check: How sampling, governance, historical imports and event-based pricing fit a high-volume game.
6. devtodev
devtodev focuses on games and apps. Its SDKs track user behavior and player journeys across Unity, Unreal, Godot, mobile and other platforms. The official documentation lists supported environments.
Its game orientation makes economy, progression and LTV work more accessible than in a generic event tool.
Best for: Free-to-play teams that want game-specific analysis and predictions.
7. deltaDNA
deltaDNA is a game analytics and engagement product associated with Unity. It has historically focused on player segmentation, behavioral insight and targeted campaigns.
Best for: Game teams combining analytics with player messaging or personalization.
Check: Current product packaging, migration path, SDK support and overlap with Unity Analytics before committing.
8. Adjust
Adjust is a mobile measurement partner. Its main job is attribution, campaign measurement, fraud prevention and linking paid growth to downstream events.
Ad revenue can be passed from mediation into Adjust, which helps teams compare acquisition cost with ad and purchase value. Google’s impression-level revenue guide includes an Adjust forwarding example. See the official Google integration pattern.
Best for: Studios with material paid acquisition spend.
9. AppsFlyer
AppsFlyer covers mobile attribution, deep linking, fraud protection, audience tools and measurement across paid channels.
It is a strong fit when growth measurement is the main requirement and the team needs broad ad-network integrations. Product behavior may still live in a separate analytics tool.
Best for: Larger mobile publishers with complex acquisition programs.
What your analytics stack must capture
Tool choice matters less than event quality. At minimum, connect:
| Area | Events or properties |
|---|---|
| Acquisition | Source, campaign, install time |
| Progression | Level start, complete, fail, attempts |
| Economy | Source, sink, currency, balance |
| Purchases | Product, price, currency, transaction status |
| Advertising | Impression revenue, format, placement, network |
| Experience | Session, crash, latency, app version |
| Experiment | Variant, assignment time, eligibility |
Use stable names and version the schema. A dashboard cannot recover meaning from inconsistent events.
A sensible stack by team size
| Team | Practical starting stack |
|---|---|
| Indie | GameAnalytics or Firebase |
| Small mobile studio | Firebase plus GameAnalytics or Mixpanel |
| Growth-heavy studio | Product analytics plus Adjust or AppsFlyer |
| Large publisher | Warehouse, BI, MMP and self-service analytics |
Do not buy four tools that answer the same question. Assign each one a clear role.
Where UndrAds fits
Analytics reports behavior. An AI AdOps layer uses revenue and product signals to monitor monetization and run bounded actions.
The connection is strongest when impression-level ad revenue joins the same user and experiment model as retention and purchases. See the modern mobile monetization stack and how to prove incremental lift.
Frequently asked questions
What is the best free analytics tool for a mobile game?
Firebase and GameAnalytics are common starting points. Compare current free limits, SDK support and export needs before choosing.
Is an MMP the same as product analytics?
No. Adjust and AppsFlyer focus on attribution and paid growth measurement. Product analytics tools focus on in-app behavior, funnels and retention.
Should ad revenue be sent into game analytics?
Yes, where privacy rules and data agreements allow it. Impression-level revenue linked to placement, cohort and session makes monetization analysis much stronger.
When does a studio need a warehouse?
Use one when tool exports, joins or history become limiting, or when analysts need a governed source across ads, purchases, product events and acquisition cost.
