Agent skill · data analytics · aj-geddes
Funnel Analysis
Analyze user conversion funnels, identify drop-off points, and optimize conversion rates for conversion optimization and user flow analysis
Why this skill is useful
Provides specific Python scripts for analyzing user conversion funnels and visualizing results, which are not commonly found in generic resources.
What it needs
Requires matplotlib, numpy, pandas, seaborn installed locally. About 4k tokens when loaded. Last updated 2026-03-04. 307 stars on the source repository.
What this skill does
Funnel Analysis Overview Funnel analysis tracks user progression through sequential steps, identifying where users drop off and optimizing each stage for better conversion. When to Use When optimizing user conversion paths and improving conversion rates When identifying bottlenecks and drop-off points in user flows When comparing performance across different segments or traffic sources When measuring product feature adoption or onboarding effectiveness When improving customer journey efficiency and user experience When A/B testing different funnel configurations or designs Funnel Structure Stage 1: Initial entry (landing page, app open) Stage 2-N: Intermediate steps (signup, selection, payment) Final Stage: Goal completion (purchase, subscription, sign-up) Drop-off: Users not progressing to next stage Conversion Rate: % progressing to next step Key Metrics Drop-off Rate: % leaving at each stage Conversion Rate: % progressing per stage Funnel Efficiency: Overall conversion (Stage 1 to Final) Friction Score: Identifying problem areas Implementation with Python Funnel Analysis Steps 1. Define all stages in customer journey 2. Count users at each stage 3. Calculate drop-off and conversion rates 4. Identify biggest bottlenecks 5. Analyze by segments (traffic source, device, etc.) 6. Benchmark against goals 7. Prioritize optimization efforts Common Drop-off Points Complex signup forms Unexpected fees Confusing navigation Payment issues Technical errors Deliverables Funnel visualization chart Drop-off analysis table Stage-to-stage conversion rates Segmented funnel analysis Bottleneck identification Actionable optimization recommendations Benchmark comparison report
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aj-geddes/funnel-analysis