Conversion Funnel Analyzer

Pro v1.0.0 1 view

Analyze conversion funnels to identify drop-off bottlenecks, compare segment performance, and estimate revenue impact of optimization opportunities.

What You Get

Identify funnel bottlenecks and quantify revenue opportunities in minutes instead of hours

The Problem

Most businesses struggle to understand where users drop off in their conversion funnels, which bottlenecks have the biggest revenue impact, and where to focus optimization efforts for maximum ROI. Manual funnel analysis is time-consuming, error-prone, and often lacks the revenue context needed to prioritize improvements.

The Solution

This skill automates the complete funnel analysis workflow by calculating step-by-step conversion rates, absolute user loss, and drop-off percentages to identify exactly where users exit. It determines the highest-impact optimization opportunity by analyzing both absolute user loss and drop-off rates with tie-breaker logic, and analyzes funnel performance across segments like mobile versus desktop and different traffic channels to reveal which segments underperform. The skill traces improvements through the entire funnel to calculate realistic revenue lift accounting for downstream conversion rates at each stage. It includes data quality validation checking for common issues before analysis, provides scenario planning with conservative, moderate, and optimistic improvement scenarios, and delivers actionable optimization tactics for each bottleneck ranked by revenue potential. A comprehensive testing roadmap recommends the prioritized sequence for implementing improvements across diverse scenarios including B2C e-commerce, B2B SaaS, and marketplace platforms.

How It Works

  1. 1 Collect funnel data including sequential step names, user counts at each stage, and average order value or customer lifetime value
  2. 2 Calculate drop-off rates, conversion rates, and cumulative conversion metrics with data quality validation
  3. 3 Identify the highest-impact bottleneck using both absolute user loss and percentage drop-off metrics
  4. 4 Compare segment performance across mobile versus desktop, traffic channels, and user types if provided
  5. 5 Estimate revenue impact from realistic improvements by tracing users through remaining funnel steps
  6. 6 Deliver prioritized recommendations with actionable tactics ranked by revenue potential and implementation complexity
  7. 7 Provide testing roadmap with recommended sequence for implementing improvements

What You'll Need

  • Funnel data with sequential step names and user counts at each stage
  • Average order value or customer lifetime value for revenue impact calculations
  • Optional: Segment breakdowns (mobile versus desktop, traffic channels, user types) for comparative analysis
  • Optional: Historical conversion rates for baseline comparisons