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Respectlytics is a privacy-first analytics platform designed for mobile and web apps, storing only five essential fields per event: event_name, timestamp, platform, country, and session_id. This minimal data collection approach eliminates device identifiers, IP addresses, user profiles, and custom properties, reducing compliance risks associated with regulations like GDPR and CCPA.[1][2][5]
The platform supports SDKs for Swift, Kotlin, Flutter, and React Native, enabling straightforward event tracking such as "login_successful" or "purchase_completed." Session IDs are generated in device RAM only, rotate every two hours or on app restart, and are hashed server-side with a daily salt to prevent cross-session or cross-day linkage.[2][3][5] Automatic features include session management, event batching every 30 seconds, offline queuing, background flushing, and retry logic with exponential backoff.[2]
Respectlytics provides automated conversion intelligence that analyzes all tracked events to discover correlations, statistical lift, and drop-off patterns without manual funnel setup. Session-based analysis delivers insights on feature usage, engagement, platform distribution, and geographic trends from day one, focusing on 10-20 targeted events per app to avoid data noise.[4][6]
This architecture suits industries like healthcare, banking, and gaming, where tracking flows such as appointment bookings or transfers occurs without persistent user tracking or PII risks.[3][5]
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