Analyze funnel drop-off for {{funnel_name}} in {{product_name}}. Funnel steps: {{steps}} Conversion data: {{data}} Time period: {{period}} **Drop-off Analysis:** **1. Funnel Overview** | Step | Users | Conversion | Drop-off | **2. Drop-off Severity** - Biggest absolute drop-offs - Biggest relative drop-offs - Comparison to benchmarks **3. Step-by-Step Analysis** For each major drop-off: - What is the drop-off rate? - Who is dropping off? (segment analysis) - When do they drop off? (time patterns) - Why might they drop off? (hypotheses) **4. Segment Comparison** | Segment | Step 1 | Step 2 | Step 3 | Overall | **5. Time Analysis** - Time between steps - Abandonment timing - Return patterns **6. Qualitative Signals** - User feedback - Session recordings - Support tickets - Survey responses **7. Root Cause Hypotheses** | Drop-off Point | Hypothesis | Evidence | Confidence | **8. Improvement Recommendations** | Issue | Fix | Expected Impact | Effort | **9. Experiment Plan** - Priority experiments - Metrics to track - Success criteria
Funnel Drop-off Analysis
Diagnose and address funnel drop-off issues systematically
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Details
Category
AnalysisUse Cases
Conversion optimizationUser experience analysisGrowth
Works Best With
gpt-4claude-3
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