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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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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Creates multi-channel marketing campaigns with automated workflows. Designs email sequences, social media schedules, and ad targeting rules. Tracks campaign performance across channels and optimizes based on engagement metrics and conversion data.
Creates intelligent chatbot workflows that handle common customer queries, collect information, and route complex issues to human agents. Designs conversation flows, configures response templates, and tracks chatbot performance metrics like resolution rate and handoff rate.
Performs cohort analysis to understand user retention, engagement, and revenue patterns over time. Groups users by signup date, acquisition channel, or plan type and tracks how their behavior changes week over week. Identifies which cohorts retain best and what drives long-term engagement.
| 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 |
Analyze conversion funnels to identify drop-off points and optimize user journeys.
Integrations: Mixpanel, Google Analytics
Identify the sequential steps in the user journey.
Compute step-by-step conversion rates and identify drop-offs.
Compare funnel performance across user segments.
Suggest improvements for the biggest drop-off points.
Deliver:
