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funnel-analysis

Analyze conversion funnels to compute drop-offs, rates, and revenue impact.

70|34|Updated Apr 7, 2026
Search Tags:#prioritization#diagnosis#conversion-rate#a/b-testing#funnel-analysis#dropoff
One-click install
npx skills add https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty --skill funnel-analysis-productfculty-aipm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: funnel-analysis
Source: https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/funnel-analysis
Command: npx skills add https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty --skill funnel-analysis-productfculty-aipm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps product teams quickly identify where users are dropping out of multi-step funnels, quantify the impact of each drop, and recommend the highest-leverage fixes to improve overall conversion and revenue.

Core Features & Use Cases

  • Flexible data intake: Accepts step names with conversion rates, absolute user counts, or qualitative funnel descriptions and helps estimate missing numbers.
  • Key metrics & impact: Calculates step-by-step conversion rates, overall funnel conversion, absolute drop-offs, and revenue impact per step when revenue-per-conversion is available.
  • Diagnosis & prioritization: Diagnoses likely causes for major drops, lists required diagnostics (session replays, interviews, A/B tests), and recommends top-priority fixes and experiments.
  • Use case: Use this Skill to analyze an onboarding funnel for a SaaS product to decide whether to optimize signup flow, first-time activation, or upgrade prompts.

Quick Start

Analyze my onboarding funnel with these step counts: 10,000 visitors → 4,200 signups → 1,100 activations → 220 paid users and recommend the top 2 fixes and experiments.

Frequently Asked Questions about funnel-analysis

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

FAQPage Schema
How do I analyze a conversion funnel to pinpoint user drop-offs?▼

Funnel analysis identifies step-by-step user drop-offs by computing conversion rates and absolute losses from step-level user counts. It estimates revenue impact per step and diagnoses likely causes to recommend high-leverage fixes and experiments.

How do I estimate revenue impact from user drop-offs in an onboarding flow?▼

Estimate revenue impact by providing step-level user counts or conversion rates and an optional revenue-per-conversion value. The analysis computes absolute drop-offs and projects the specific revenue loss incurred at each funnel step.

Can I analyze a SaaS activation funnel if I only have qualitative descriptions and no exact user counts?▼

Yes, flexible data intake accepts qualitative funnel descriptions and helps estimate missing numbers. This allows you to compute conversion metrics, diagnose drop-off causes, and prioritize fixes without exact step-level user counts.

What is the best way to prioritize A/B testing experiments for a purchase funnel?▼

Prioritize A/B testing experiments by diagnosing likely causes for major user drop-offs and calculating revenue impact per step. This identifies the highest-leverage fixes to improve overall purchase conversion and retention rates.

Does funnel analysis work for both upgrade prompts and first-time activation flows?▼

Yes, funnel analysis applies to onboarding, activation, purchase, retention, and upgrade funnels. It processes step-level counts or conversion rates for these flows to compute metrics, diagnose drop-offs, and recommend experiments.

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