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πŸ‘₯ Behavior Intelligence

Understand Behavior,
Not Individuals

Know what users do without knowing who they are

Track events, analyze patterns, and discover what drives conversions - all from aggregated session data with only 5 stored fields.

πŸ”’ Privacy by Design

Only 5 Fields. That's It.

Our server rejects any data outside this list. It's not a policyβ€”it's enforced in code.

1
event_name

What happened

2
session_id

Hashed, 2hr rotation

3
timestamp

When it happened

4
platform

iOS, Android, Web

5
country

Derived from IP

πŸ“ Note on IP: The IP address is used only to derive country, then immediately discarded. It never touches our database.

🚫

No Device IDs

No IDFA, IDFV, or advertising identifiers

🚫

No Fingerprinting

No canvas, audio, or WebGL fingerprints

🚫

No User Tracking

No cross-session user identification

πŸ“Š Conversion Drivers

Boosters & Blockers

Select your conversion events, and we'll show you which behaviors help and which hurt.

πŸ“ˆ

Conversion Boosters

⬆ Promote These

Sessions with these events convert at a higher rate. Guide more sessions toward these experiences.

feature_demo_completed +245%
30% convert with this event vs 8.7% without
pricing_compared +156%
22% convert with this event vs 8.6% without
πŸ“‰

Conversion Blockers

⬇ Investigate These

Sessions with these events convert at a lower rate. Something about this experience is causing drop-off.

error_displayed -67%
4% convert with this event vs 12% without
help_button_tapped -43%
6.8% convert with this event vs 12% without
πŸ’‘

How This Helps

Boosters tell you what experiences to promoteβ€”these are working. Blockers tell you where to investigateβ€”something is causing frustration. Both are calculated from session behavior, requiring only 10+ sessions to surface a pattern.

🌍 Segment Analysis

Compare Across Dimensions

See how behavior differs by platform, country, app version, and more.

πŸ“± Platform Distribution

iOS 12,847 sessions (52%)
Android 9,423 sessions (38%)
Web 2,478 sessions (10%)

🌍 Top Countries

πŸ‡ΊπŸ‡Έ United States 8,234 sessions
πŸ‡¬πŸ‡§ United Kingdom 2,156 sessions
πŸ‡©πŸ‡ͺ Germany 1,423 sessions
πŸ’Ό Use Cases

What You Can Do

🎯

Feature Adoption Tracking

See which features are being used and which are ignored. Track adoption over time after launches. Identify features that correlate with conversion.

πŸ“Š

Platform Optimization

Compare behavior across iOS, Android, and Web. Find platform-specific friction points. Prioritize development effort based on real usage patterns.

πŸ”

Friction Point Discovery

Use blockers to find events that hurt conversion. Investigate why these experiences cause sessions to drop off. Focus optimization on high-impact problems.

πŸ“ˆ

Version Rollout Analysis

Compare behavior across app versions. See if new releases improve or hurt engagement. Catch regressions before they affect too many sessions.

❓ Common Questions

Frequently Asked Questions

What is behavior analysis in Respectlytics?

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Behavior analysis shows you patterns in how sessions interact with your app - which events are common, how behavior varies by platform or region, and which events correlate with conversions. All without tracking individual users.

What data do you collect?

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We store only 5 fields per event: event_name, session_id, timestamp, platform, and country. IP addresses are used only to derive country, then immediately discarded. No device IDs, no advertising identifiers, no fingerprinting.

How do boosters and blockers work?

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We analyze all sessions to find events that correlate with conversion. "Boosters" are events where sessions that include them convert at a higher rate. "Blockers" are events where sessions convert at a lower rate. This helps you know what to promote and what to investigate.

Can I see behavior by platform?

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Yes. The Segments tab lets you compare behavior across platforms (iOS, Android, Web), countries, app versions, and more. See which platforms have higher engagement or conversion rates.

Is this based on users or sessions?

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All analysis is session-based. We don't track individual users across sessions. Each session is analyzed independently with 2-hour rotation. This means we can't show you "returning user" metrics, but it significantly reduces privacy risk compared to traditional user-based analytics.

What's the difference from Conversion Analysis?

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Behavior Analysis is the tab where you see boosters/blockers after selecting conversion events. Conversion Analysis is the automatic discovery feature that shows lift scores, top paths, and time to conversion. Both help you understand what drives conversions.

Ready to Understand Your Users?

Get behavior insights without compromising privacy

Questions? Contact us