Android Analytics SDKs

ActivationPal, made by this site, is the best fit for a native Kotlin app measuring onboarding and subscription conversion: its SDK includes dedicated funnel and paywall calls. This shortlist compares it with SDKs for product analytics, session replay, and event routing. See React Native analytics tools for a framework-specific comparison.

1. ActivationPal

Best for: Native Kotlin apps measuring onboarding and paywall conversion.

This site makes ActivationPal. Its native SDK includes onboardingStep, onboardingCompleted, and paywall calls such as paywallShown and paywallPurchased; the ActivationPal dashboard shows funnel drop-off and app revenue alongside events from RevenueCat or Superwall. Add the Android SDK as a Kotlin file and configure the app slug and key. Choose it when conversion flows and subscription outcomes are the main questions you need to answer.

2. Amplitude

Best for: Product analytics with a native Android Kotlin integration.

Amplitude's official Android Kotlin SDK guide supports Kotlin and Java. It requires Android's INTERNET permission and minSdk 21; ACCESS_NETWORK_STATE enables its documented offline support. It is a fit when you want a broader product analytics platform and are comfortable adding its SDK requirements to the app.

3. PostHog

Best for: Product analytics alongside session replay.

PostHog's Android SDK installs through Gradle, batches requests asynchronously, and continues capturing events while the device is offline. Its platform also includes product analytics and session replay. Consider it when those capabilities belong together in your product measurement setup.

4. Firebase Analytics

Best for: Adding Google Analytics event collection to an Android app.

Firebase's Android setup guide installs firebase-analytics through Gradle with the Firebase BoM. Kotlin apps should use the main modules: Firebase stopped updating its separate KTX modules in 2025. Analytics is listed as a no-cost Firebase product, while other Firebase services have their own plan limits and pricing.

5. Mixpanel

Best for: Product event tracking with feature flag evaluation in the Android SDK.

The official Mixpanel Android library provides tracking for Mixpanel Analytics, and its modules include analytics and feature-flag evaluation. Choose it when event analytics and app-side flag evaluation are both part of the integration you want to maintain.

6. UXCam

Best for: Seeing how people move through app screens with session replay and heatmaps.

UXCam's Android integration guide includes Kotlin setup and lists minSdkVersion 21 or later. Its Android product includes session replay, heatmaps, and screen analytics, with controls for masking sensitive data. It fits teams investigating what happens within screens as well as which screens users visit.

7. Countly

Best for: Combining mobile analytics with crash reports and performance monitoring.

Countly's Android SDK repository includes a Kotlin sample app. Its listed capabilities include analytics, user profiles, crash reports, A/B testing, and performance monitoring. It may suit teams that want these mobile measurement functions within the same platform.

8. RudderStack Kotlin

Best for: Sending Android events onward to configured data destinations.

RudderStack's Kotlin SDK tracks event data from Android and Kotlin JVM apps, then sends events to configured RudderStack destinations. Its job is event routing, so it fits an existing analytics stack that needs to direct app events to multiple destinations rather than a team looking only for a replay tool.