Android Analytics SDK Setup: Kotlin Events Without PII
Set up Android analytics with a Kotlin SDK, test mode, Maven dependency, safe payload keys, and privacy-first event instrumentation.
Help Android developers wire Kotlin analytics safely.
Summary
A Kotlin setup guide for Android teams adding analytics while avoiding personal data in event payloads.
Configure analytics in Application.onCreate.
Use mavenCentral and a stable package coordinate.
Keep payloads flat, safe, and consistent with iOS.
Configure the SDK in the Application class
Android analytics should be configured once in Application.onCreate before feature screens begin tracking. This avoids missing early lifecycle events and keeps configuration out of individual activities.
Use test mode during development and internal app sharing. If you are testing against a local server in the Android emulator, remember that localhost points at the emulator, not your Mac. Use the emulator host alias or a deployed endpoint.
Use the same taxonomy as iOS
Cross-platform teams should not invent separate Android event names. App.launch, Onboarding.completed, Paywall.viewed, Purchase.completed, and Error.occurred should mean the same thing on both platforms.
Consistent naming makes dashboards and funnels much easier to trust. It also reduces the cost of adding alerts and exports later.
Protect users by default
Android apps often have access to identifiers and device context that analytics does not need. Block risky keys, avoid advertising IDs, and never send precise location unless the analytics question truly requires it and the user has granted appropriate consent.
A privacy-safe SDK should perform client-side filtering and a server-side ingest check. Defense in depth matters because instrumentation changes happen quickly during product launches.
Implementation checklist
How to apply this Android analytics SDK setup guide
Treat this article as an instrumentation brief before adding or changing analytics code. The goal is not to send more events. The goal is to make every event answer a specific product, revenue, privacy, or debugging question for your app team.
Define the decision first
Write down the decision this android work should support. Good examples are whether onboarding is leaking users, whether a paywall variant changes purchase intent, or whether a provider webhook is missing subscription lifecycle events.
Map the smallest event set
Choose the fewest event names and payload fields that answer the decision. Prefer stable names such as App.launch, Paywall.viewed, Purchase.completed, Subscription.renewed, and Error.occurred over ad hoc labels that only one release understands.
Verify in test mode
Send events from a debug build first, inspect the live event stream, and confirm that environment, platform, app version, product ID, paywall variant, and revenue fields appear where expected before counting the data in production dashboards.
Run a privacy pass
Review every payload key before launch. Remove email addresses, names, advertising IDs, phone numbers, precise location, free-form user text, raw payment tokens, and other fields that make analytics harder to defend during an app privacy review.
In AppMetricsKit, the safest workflow is to create an ingest key, install the iOS or Android SDK in test mode, send the first event, review Live Events, then promote the same taxonomy to production. After events are stable, connect RevenueCat, Adapty, Superwall, or server-side sources so subscription changes that happen outside the app are reconciled with client events.
Revisit this checklist whenever a new paywall, onboarding step, plan, trial offer, release channel, or data export is introduced. Most analytics quality problems come from small schema changes that were never reviewed, not from the dashboard itself.
FAQ
Common questions
Where should Android analytics be initialized?
Initialize analytics in Application.onCreate so events can be tracked consistently across activities and screens.
Should Android and iOS event names match?
Yes. Matching event names across platforms makes funnel, retention, and revenue dashboards comparable.