| 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
