Stop Guessing
What Converts
Automatic discovery of what drives conversions in your app
Traditional analytics makes you guess which events matter. Respectlytics analyzes every event automatically to show you which ones boost conversions and which ones hurt them.
Automatic Lift Analysis
For every event in your app, we calculate how much it boosts or hurts conversion. No manual setup required.
Conversion Boosters
Events that increase conversion probability
Sessions with these events are more likely to convert
Conversion Blockers
Events that decrease conversion probability
Sessions with these events are less likely to convert
๐งฎ How Lift is Calculated
With Event
Calculate conversion rate for sessions that include the event
Without Event
Calculate conversion rate for sessions that don't include the event
Calculate Lift
Lift = (rate_with รท rate_without - 1) ร 100
Example: If 30% of sessions with feature_demo_viewed convert,
but only 8.7% of sessions without it convert, the lift is +245% โ
meaning sessions with that event are 3.45x more likely to convert.
Top Conversion Paths
Discover the event sequences that lead to conversion. These are your winning journeysโreplicate them.
Automatic Discovery
No need to define funnels upfront. We analyze all event sequences to find the patterns that lead to conversion.
Session-Based
Each path represents a single session journey. Sessions rotate every 2 hours for privacyโno cross-session tracking.
Drop-off Analysis
See exactly where sessions end without converting. Focus your optimization efforts on high-impact friction points.
Sessions Lost by Last Event
The last event before sessions ended without converting
| Last Event | Sessions Lost | Impact |
|---|---|---|
| pricing_viewed | 1,247 |
|
| checkout_started | 892 |
|
| onboarding_step_3 | 634 |
|
| feature_viewed | 421 |
|
Time to Conversion
How long does it take for sessions to convert? Shorter times indicate smoother user experience.
Time Distribution
Within a single session, from first event to conversion
Summary Statistics
Key metrics for conversion timing
Insight: 73% of conversions happen within 15 minutes. Focus on reducing friction in the first few screens.
Traditional vs. Automatic
โ Traditional Funnel Analysis
- โข Define funnel steps manually before analysis
- โข Guess which events might be important
- โข Miss correlations you didn't think to look for
- โข Requires constant manual iteration
- โข Often tracks users across sessions (privacy concerns)
โ Respectlytics Automatic Analysis
- โข Analyzes all events automatically
- โข Discovers correlations you didn't know existed
- โข Shows statistical lift with significance filtering
- โข Insights appear on day one
- โข Session-based analysis (no user tracking)
Frequently Asked Questions
What is conversion lift analysis?
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Lift analysis measures how much more (or less) likely sessions are to convert when they include a specific event. For example, a +245% lift means sessions that include that event are 3.45x more likely to convert than sessions that don't.
How does automatic discovery work?
+
For each event type in your app, we calculate the conversion rate of sessions that included the event vs. sessions that didn't. Events with a statistically significant positive lift are "boosters", while negative lift events are "blockers". No manual funnel setup required.
What are conversion paths?
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Conversion paths are the event sequences that sessions followed before converting. We automatically discover the most common paths so you can understand the winning journeys and replicate them.
How is this different from traditional funnel analysis?
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Traditional funnels require you to define steps upfront and guess what matters. Respectlytics automatically analyzes all event combinations to find correlations you might have missed. It's discovery-based, not hypothesis-based.
Does this track individual users?
+
No. All analysis is session-based. Each session is analyzed independently with 2-hour rotation and no cross-session tracking. This session-based model avoids persistent user tracking and may reduce consent requirements in many jurisdictions.
What are drop-off points?
+
Drop-off points show the last event before sessions ended without converting. High-impact drop-offs indicate friction points where you should focus optimization efforts.
Ready to Find Your Conversion Drivers?
Stop guessing. Start discovering what actually drives conversions in your app.
Questions? Contact us