About Respectlytics
Respectlytics simplifies GDPR and CCPA compliance by storing only 5 essential data fields, making personal data collection architecturally unnecessary. Automatically discover conversion paths, lift scores, and drop-offs without manual setup. Built for developers who prioritize user privacy and regulatory compliance.
FAQ
Respectlytics architecturally blocks device identifiers, IP addresses, and custom user properties that can contain PII. It only stores 5 fields: event_name, session_id (which rotates every 2 hours), timestamp, platform, and country (derived from IP, with IP never stored). Additionally, Respectlytics provides automated conversion intelligence, whereas Firebase requires manual setup and analysis.
Automated intelligence in Respectlytics means that it automatically discovers your top conversion paths, calculates which events drive conversions (lift scores), identifies where users drop off, and compares segments (e.g., iOS vs Android, by country) without any configuration. Insights appear as soon as data flows in, saving you several hours of manual analysis.
No, Respectlytics does not use AI or machine learning. Its algorithms are statistical and completely transparent. Lift scores are simple ratios comparing conversion rates, and path discovery uses frequency counting. Every insight shows its supporting data so you can verify the numbers yourself.
All data is stored in EU data centers. Respectlytics is a Swedish company subject to EU data protection laws. The privacy architecture ensures compliance by storing only 5 fields and discarding IP addresses immediately after deriving the country. This minimal data approach simplifies compliance audits.
No, Respectlytics cannot track MAU by design. The 2-hour session rotation makes persistent user tracking impossible. If you need MAU/DAU metrics, you would need to use tools that rely on persistent identifiers, which involve privacy tradeoffs.
Since Respectlytics stores only anonymous data (5 fields, no user IDs), it is technically impossible to identify entries belonging to a specific person. You can use filter-based deletion via the dashboard or API (by date range, platform, country) to remove data that may correlate with a user based on your records. Over-deletion of anonymous data is acceptable.
Respectlytics supports native SDKs for Swift (iOS), Kotlin (Android), Flutter (cross-platform), and React Native (cross-platform). All SDKs are open source and enforce the same strict 5-field schema. Integration typically takes a few minutes: add the SDK dependency, initialize with your API key, and call track('event_name').
Every plan includes automated conversion analysis, segment comparisons, privacy architecture (only 5 fields stored), unlimited apps, and 2-year data retention. Respectlytics does not offer a free tier but provides a 14-day free trial with 20,000 events to evaluate the service fully.
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