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OpenLabor
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Funnel Analysis

Analyze conversion funnels to identify drop-off points and compute stage-by-stage conversion rates.

4|Updated Mar 6, 2026
Search Tags:#analytics#optimization#conversion#segmentation#funnel#drop-off
One-click install
npx skills add https://github.com/OpenLabor/openlabor --skill funnel-analysis-openlabor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Funnel Analysis
Source: https://github.com/OpenLabor/openlabor/tree/main/skills_archive/funnel-analysis
Command: npx skills add https://github.com/OpenLabor/openlabor --skill funnel-analysis-openlabor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Funnel Analysis helps teams identify where users drop off in the journey and delivers actionable steps to improve conversion rates across the funnel.

Core Features & Use Cases

  • Map the complete funnel from awareness to conversion
  • Calculate conversion rates between stages
  • Segment by traffic source, device, and user cohort
  • Recommend top improvements for the highest drop-off points

Quick Start

Provide a complete funnel map and data to identify the top bottlenecks, compute stage-by-stage conversion rates, and receive optimization recommendations.

Frequently Asked Questions about Funnel Analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify drop-off points in a conversion funnel?▼

Funnel analysis identifies drop-off points by mapping your complete user journey, calculating stage-by-stage conversion rates, and highlighting the specific stages where the most users abandon the process.

How do I calculate conversion rates between funnel stages?▼

You calculate conversion rates between funnel stages by dividing the number of users who progressed to the next stage by the total number of users who entered the current stage, which helps pinpoint exact drop-off percentages across the journey.

Can I segment funnel conversion data by traffic source and device?▼

Yes, you can segment funnel conversion data by traffic source, device, and user cohort, allowing you to compare drop-off patterns across different acquisition channels and platforms to apply targeted improvements effectively.

What is the best way to optimize a marketing funnel with high drop-offs?▼

The best way to optimize a marketing funnel with high drop-offs is to compute conversion rates for each stage, segment the data to find specific bottlenecks, and implement targeted improvements focused on the stages showing the highest user abandonment.

What data do I need to provide to analyze a product funnel?▼

To analyze a product funnel, you need to provide a complete funnel map and your corresponding stage data so the analysis can compute stage-by-stage conversion rates, identify the top bottlenecks, and deliver actionable optimization recommendations.

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