Respectful Analytics
For Mobile Apps
The privacy-friendly Firebase Analytics alternative with automated conversion intelligence. Get actionable insightsβno manual setup, no personal data retained in analytics events, no compromises.
Minimized PII Risk
Our strict event schema blocks personally identifiable information from analytics payloads. Privacy by design.
Native Mobile SDKs
Ultra-lightweight SDKs for Swift, Flutter, React Native & Kotlin. Drop in and start tracking in minutes.
Automated Intelligence
Stop digging through charts. We automatically discover conversion paths and drop-off points for you.
Your Data Stays in the EU
Infrastructure you can trust
Proudly Built in Sweden
Where privacy is in our DNA
See Your Sessions Worldwide
Beautiful real-time visualization of your global session activity. Watch conversions light up across the planet.
Session Activity by Location
π Top Converters ?
By session conversion rate
π₯ Top Activity ?
By total event count
Loading interactive globe...
This could be your user data
Start tracking in 5 minutes with our SDKs
Privacy Friendly Conversion Intelligence
While competitors require hours of manual setup and guesswork, Respectlytics automatically discovers insights from your data.
Top Conversion Paths
The most common event sequences before converting
Top Conversion Paths
No more guessing which user journeys lead to conversion. Respectlytics automatically discovers the most common event sequences your converting users followβranked by popularity.
- β See exactly which paths lead to conversions
- β Use winning journeys as templates to guide more users
- β No manual funnel setupβwe find patterns automatically
Conversion Drivers Map
Stop guessing which features matter. Respectlytics automatically analyzes your event stream and surfaces which events correlate with conversionsβwith statistical lift scores.
- β See "+245% lift when users view feature_demo"
- β Discover hidden conversion blockers automatically
- β Prioritize features based on real user behavior
Conversion Boosters
Events that increase conversion likelihood
Your Data Never Leaves Your Control
We architected Respectlytics so that personal data is not stored in analytics events. Not encrypted. Not pseudonymized. Simply avoided by design.
- β No user IDs, device IDs, or fingerprints
- β IP addresses processed transiently for approximate geolocation, never stored
- β No cross-session tracking possible by design
Event name, timestamp, count, approximate location (country/region only)
User IDs, device IDs, IP addresses, cookies, fingerprints, precise location
Plus automatic analysis for:
Zero configuration required. These insights appear automatically as your users interact with your app.
Probability Signals
Calculates conversion probability for each event. Shows which features boost conversions (+245% lift) and which hurt them (-67%).
Auto Paths
Discovers the most common behavior sequences that lead to conversion. No manual funnel setupβwe find the patterns automatically.
Time Analysis
Analyzes timing between funnel steps. See where users slow down (median, p25, p75) and optimize your flows accordingly.
Segment Compare
Compare conversion rates across platforms (iOS, Android, Web), countries, and app versions. Spot performance differences instantly.
We Block Custom Fields
To Protect Your Users
Most analytics platforms let developers send arbitrary data with events. This is the #1 way personal information leaks into analytics systemsβoften by accident.
Traditional Analytics
With custom properties, developers can accidentally (or intentionally) leak sensitive data:
// Custom properties = privacy nightmare
analytics.track("purchase", {
user_email: "[email protected]",
full_name: "John Smith",
phone: "+1-555-0123",
address: "123 Main St",
credit_card_last4: "4242"
});
Respectlytics
Our API rejects any request with custom fields. This makes common privacy violations technically difficult by design:
// Only event names + screen context
Respectlytics.track(
"checkout_completed",
screen: "CheckoutScreen"
);
// Semantic event names replace properties
Respectlytics.track("premium_plan_selected");
Respectlytics.track("payment_method_added");
Strict Allowlist Enforcement
Our API accepts exactly 11 data fieldsβno more, no less. Any request with additional fields is rejected with a 400 Bad Request error.
The 11 data fields: event_name, timestamp, platform, app_version, os_version, device_type, locale, country, region, screen, session_id
β‘ All technical metadataβno direct personal identifiers. Session IDs are anonymized and reset between app sessions.
Privacy by design. No personal data retained in analytics events. No cross-session tracking within Respectlytics. Reduced compliance complexity.
Read our technical privacy documentation βWhy Respectlytics is Different
Stop spending hours on manual setup. Get insights automatically.
| Feature | Other Analytics | Respectlytics |
|---|---|---|
| Conversion Path Analysis |
β
Manual setup
(5-10 hours)
|
β
Auto-discovered
(0 hours)
|
| Conversion Probability |
β
Black-box
(unexplainable)
|
β
Transparent
(fully explainable)
|
| Drop-Off Analysis |
β
Manual
(reactive)
|
β
Impact-ranked
(proactive)
|
| Time-to-Conversion |
β
Custom reports
(manual bucketing)
|
β
Auto bucketing
(5 time ranges)
|
| Segment Comparison |
β
Manual filtering
(one at a time)
|
β
Auto-compare
(all segments)
|
| β±οΈ Time to First Insight |
3-5 Weeks
|
5 Minutes
|
You Write One Line, We Do The Rest
Track an event β Get beautiful insights automatically
// When user views feature demo
Respectlytics.track("feature_demo_viewed")
// When user completes signup
Respectlytics.track("signup_completed")
π― Conversion Driver Found
Auto-discovered
π‘ Users who see feature_demo_viewed are 3.45x more likely to convert
π Session Analytics
Real-timeToday β’ 1,247 sessions analyzed
// Track user actions
Respectlytics.track("screen_view");
// We analyze session depth,
// engagement, and patterns
// automatically. Zero config.
// Track signup funnel events
Respectlytics.track("signup_started")
Respectlytics.track("email_entered")
Respectlytics.track("password_entered")
Respectlytics.track("signup_completed")
β οΈ Drop-Off Alert
High Impactπ‘ Recommendation: Investigate password requirements. Users abandon here at 3x the normal rate.
The Problem with Traditional Analytics
Most other analytics platforms collect personal data by default. User IDs, device fingerprints, behavioral profiles. This creates privacy compliance complexity and potential liability.
| Feature | Respectlytics | Traditional Analytics |
|---|---|---|
| Collects Personal Data |
Never
|
Always
|
| Privacy Compliance Complexity |
Reduced
|
Higher
|
| Device Fingerprinting |
No
|
Yes
|
| Event Tracking |
β
|
β
|
| Conversion Funnels |
β
|
β
|
| Real-Time Dashboard |
β
|
β
|
Get Started in 5 Minutes
Integration so simple youβll wonder why every SDK isnβt like this.
Create Your App
Sign up and create your first app in the dashboard. You'll get an API key instantly.
Install the SDK
Add our lightweight SDK via Swift Package Manager, CocoaPods, Gradle, npm, or pub.dev.
Start Tracking
Call track("event_name") wherever you need insights. That's literally it.
Your Data Never Leaves Your Control
We built Respectlytics on four unbreakable principles.
No Personal Identifiers
We don't store device IDs, user IDs, or any persistent personal identifiers. IP addresses are processed transiently for approximate region lookup and never stored.
Minimal Data Collection
Event name, timestamp, approximate geo (region-level), and technical metadata. Nothing more.
Aggregate-Only Insights
You see trends and totals, never individual user behavior. Privacy isn't optional.
Privacy by Design
No personal data retained in analytics events means reduced compliance complexity. Cross-session tracking is technically impossible within Respectlytics.
The Privacy Question
"How does Respectlytics handle privacy?" We're designed with privacy as the foundation. No personal data is retained in analytics events, session IDs rotate every 2 hours and are stored only in RAM, and cross-session tracking is technically impossible within Respectlytics. This may significantly reduce compliance complexity, but we recommend consulting with your legal team for your specific requirements.
Read our privacy documentation βSave 5-10 Hours Per Project
While competitors require hours of manual funnel setup, custom report configuration, and constant maintenance, Respectlytics gives you insights automatically.
Funnel setup
Custom reports
Manual analysis
Meet the Founder
Why I Built Respectlytics
I've developed several mobile apps over the years, and analytics has always been one of the most challenging problems due to privacy concerns. I have no interest in tracking peopleβbut like any app developer, I need to understand how my apps are used and how I can improve them.
So I ended up developing my own solution. Respectlytics is built with privacy in mind and designed to track events, not people. It now solves my problem with a privacy-first approach, and I hope it will help other app developers and businesses as well.
Ready to Respect Your Users?
Join developers who believe analytics shouldnβt require surveillance. Get started free.