Privacy architecture
Mobile analytics you can defend in a privacy review.
AppMetricsKit is built to avoid collecting personal data from your app users while still showing onboarding, retention, paywall, and subscription performance.
Anonymous by default
The SDK is designed around hashed identifiers and pseudonymous events, not user profiles or identity graphs.
PII guardrails at ingest
Emails, phone numbers, GPS coordinates, advertising IDs, names, and payment card patterns are detected before analytics storage.
Customer-controlled retention
Teams can choose retention windows and delete app or organization data from the product.
Example audit scoreSample
The in-app privacy audit computes a real app-specific score after events and payload rules exist.
Open privacy auditDesigned never to receive
Block risky data before it becomes analytics data.
AppMetricsKit redacts or rejects risky payloads according to your configuration, then records a finding so your team can fix instrumentation.
Read the full privacy policyEmail addresses
Phone numbers
Raw names
Advertising IDs
Raw account IDs
Precise GPS
Payment card data