funnel-analysis

name	funnel-analysis
displayName	Funnel Analysis
tagline	Analyze conversion funnels to identify drop-off points and optimize user journeys.
description	Analyzes user conversion funnels to identify where users drop off and why. Calculates conversion rates between steps, compares funnels across segments, and recommends optimizations. Supports funnels for onboarding, checkout, feature adoption, and custom user journeys.
department	["Product","Data & Analytics","Growth"]
use_cases	["Conversion Optimization","User Journey Analysis","Growth Analytics"]
tools_required	["Mixpanel MCP","Google Analytics MCP"]
agents_compatible	["Claude / Claude Code","Cursor","Windsurf","ChatGPT","Any MCP-compatible agent"]
author	Webrix
verified	true
updatedAt	"2026-05-08T00:00:00.000Z"
version	1.0.0
exampleInput	Analyze the onboarding funnel for new users last month. Steps: signup -> verify email -> create project -> invite team -> first action.
exampleOutput	Funnel Analysis — Onboarding (April 2026) CONVERSION FUNNEL Signup: 1,200 users (100%) Verify Email: 1,020 users (85%) — 15% drop Create Project: 714 users (59%) — 30% drop ⚠️ Invite Team: 428 users (36%) — 40% drop ⚠️ First Action: 342 users (29%) — 20% drop OVERALL CONVERSION: 29% (signup to first action) BIGGEST DROP-OFFS 1. Invite Team step: 40% drop — Users skip team invite Recommendation: Make invite optional, show value prop 2. Create Project: 30% drop — Friction in project setup Recommendation: Add project templates, reduce required fields SEGMENT COMPARISON Organic Users: 34% overall conversion Paid Users: 22% overall conversion Referral Users: 41% overall conversion

Funnel Analysis

Analyze conversion funnels to identify drop-off points and optimize user journeys.

Integrations: Mixpanel, Google Analytics

When to Use

• The user wants to understand where users drop off in a flow
• Conversion optimization is needed for onboarding or checkout
• The user mentions "funnel analysis", "drop-off", or "conversion rate"

Steps

Step 1: Define Funnel Steps

Identify the sequential steps in the user journey.

Step 2: Calculate Conversion Rates

Compute step-by-step conversion rates and identify drop-offs.

Step 3: Segment Analysis

Compare funnel performance across user segments.

Step 4: Recommend Optimizations

Suggest improvements for the biggest drop-off points.

Output

Deliver:

• Funnel visualization with conversion rates
• Drop-off analysis with root causes
• Optimization recommendations by priority