Privacy-First Mobile Analytics
With Built-In Intelligence
The mobile analytics software that respects user privacy
The Firebase Analytics alternative for in-app analytics that automatically discovers conversion paths, calculates lift scores, and finds drop-offsβwhile keeping your App Store Privacy Label simple.
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
Simplified Compliance
Less data = less legal overhead
Meet the Founder
The story behind Respectlytics
See Your Sessions Worldwide
Beautiful real-time visualization of your global session activity. Watch conversions light up across the planet.
Session Activity by Location
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π Top Converters by conversion rate
π₯ Top Activity by event count
Return of Avoidance (ROA)
The Best Data Protection Is No Data Collection
We don't track people. We track events. This makes it technically impossible for Respectlytics to identify which entries belong to which usersβgiving you a defensible, transparent privacy architecture.
Transparent
Crystal clear about what data is collected and why. No hidden tracking, no surprises.
Defensible
Minimal data surface by design. When you collect less, you have less to defend.
Compliant-Ready
Data deletion requests? Already solvedβwe have no clue which data belongs to whom.
The 5 Fields We Store
Data minimization is key. Any field not on this list is rejected by our API. No exceptions.
event_name
What happened
session_id
Hashed daily
timestamp
When it happened
platform
iOS, Android, Web
country
Country only, no city
Custom fields? Rejected with 400 Bad Request. This is the #1 source of PII leaksβwe block it architecturally.
Aggressive Session Rotation
Session IDs are designed to make user identification extremely difficult:
Result: Cross-session tracking is technically impossible within Respectlytics.
What We Never Store
These are architecturally blockedβnot just policy, but code:
App Store & Play Store Privacy Disclosures Made Simple
Traditional analytics make privacy labels a nightmare. With only 5 fields to declare, you'll complete App Store privacy forms in minutesβnot hours.
Built For Teams Who Take Privacy Seriously
The cost of non-compliance is high. Respectlytics makes it manageable.
Enterprise & SaaS
Defensible architecture for compliance audits. Minimal data surface means less to explain, less to protect, less risk.
π‘ When auditors ask "what data do you collect?", you have a 5-field answerβnot a 50-page document.
Privacy-Sensitive Industries
Healthcare, education, financeβwhere data minimization matters most. On-premise deployment available for strict requirements.
π‘ With only 5 stored fields and custom data blocked architecturally, your data surface becomes dramatically simpler to explain.
Ethical Brands & Lean Teams
Build trust with users who care about privacy. Analytics that align with your values and your brand promise.
π‘ "We use privacy-first analytics" becomes a genuine differentiator, not a marketing claim you can't back up.
Indie Developers
Ship fast without privacy headaches. One line of code, zero complexityβanalytics that respect your users as much as you do.
π‘ Fill out App Store privacy forms in minutes, not hours. You already know what you're collectingβ5 fields, that's it.
Need on-premise deployment? Contact us to discuss self-hosted options for your infrastructure.
Consult your legal team to determine your specific requirements.
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, country (no region or city)
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.
Why 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.
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.
Save 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.