Case 4: Building Conversion Funnels from Discovered Events
Case 4: Building Conversion Funnels from Discovered Events
Section titled “Case 4: Building Conversion Funnels from Discovered Events”Starting Point
Section titled “Starting Point”After exploring user event streams and seeing what events exist
The Process
Section titled “The Process”1. Identify key funnel events from user exploration
Section titled “1. Identify key funnel events from user exploration”From scrolling through user events, you saw:
conv_landing_page_view(entry point)achieve_screen_loaded(first funnel step)achieve_screen_viewed(user engaged with screen)sex_screen_loaded(next step in form)sex_screen_viewed(user engaged)dob_screen_loaded(date of birth step)bmi_screen_loaded(BMI calculator step)goal-weight_screen_viewed(goal setting step)
2. Create conversion funnel in PostHog
Section titled “2. Create conversion funnel in PostHog”- Graph type: Conversion steps
- Time range: Last 7 days
- Build the funnel with discovered events in logical order
3. The funnel reveals the story
Section titled “3. The funnel reveals the story”Funnel Results (Last 7 Days)
Section titled “Funnel Results (Last 7 Days)”| Step | Event | Persons | Conversion | Drop-off | Avg Time |
|---|---|---|---|---|---|
| 1 | conv_landing_page_view | 55,775 (100%) | - | - | - |
| 2 | achieve_screen_loaded | 5,509 (9.88%) | 9.88% | 50,266 (90.12%) | 19s |
| 3 | achieve_screen_viewed | 4,296 (7.7%) | 77.97% | 1,213 (22.02%) | 9s |
| 4 | sex_screen_loaded | 3,923 (7.03%) | 91.32% | 373 (8.68%) | 14s |
| (continues…) |
Overall Funnel Metrics
Section titled “Overall Funnel Metrics”- Total conversion rate: 3.93%
- Average time to convert: 19m 31s
The Massive Red Flag
Section titled “The Massive Red Flag”🚨 90.12% drop-off from landing page to first screen 🚨
- Out of 55,775 people who viewed the landing page
- Only 5,509 (9.88%) made it to the achieve screen
- 50,266 people never progressed beyond the landing page
Questions This Raises
Section titled “Questions This Raises”- Why are 90% of landing page viewers not progressing?
- Is tracking broken? Are events not firing correctly?
- Is there a technical issue preventing users from advancing?
- Is the landing page not converting at all?
- Are we counting bot traffic in landing page views?
Key Insights
Section titled “Key Insights”- You didn’t ask anyone “do we have a conversion problem?” - The funnel showed you immediately
- 90% drop-off is not a subtle issue - It jumps out and demands investigation
- The workflow was natural: Explore events → Build funnel with those events → Spot obvious problem
- No developer documentation needed: You built this funnel purely from events you discovered yourself
- After the first massive drop, conversion is actually decent: 77.97% from achieve_screen_loaded to viewed, 91.32% to next step
What Works Well After Initial Screen
Section titled “What Works Well After Initial Screen”- Once users get past the landing page barrier, they convert reasonably well through the questionnaire
- Step 2→3: 77.97% continue (reasonable engagement)
- Step 3→4: 91.32% continue (very good retention)
Principles Applied
Section titled “Principles Applied”- Self-Service Event Discovery ✓
- Events → Funnel → Questions ✓
- Let Anomalies Jump Out ✓
- Common Sense Over Complexity ✓
- Exploration-Driven Learning ✓
Tool Features Used
Section titled “Tool Features Used”- Conversion steps visualization (funnel chart)
- Query builder with drag-and-drop event steps
- Automatic calculation of conversion rates and drop-offs
- Time to convert metrics
- Visual representation making drop-offs obvious
- “Run experiment” option for testing improvements
Navigation
Section titled “Navigation”- Previous: Case 3: User Profile Exploration
- Next: Case 5: Investigating Drop-offs
- Back to Index: All Cases