rediumvex/ai-marketing-claude · Archived

market-funnel

End-to-end funnel analysis from awareness to retention with leak diagnosis and a GA4 event spec.

First seen May 17, 2026

Installation

$ npx skills add rediumvex/ai-marketing-claude --skill market-funnel

Summary

  • End-to-end funnel analysis from awareness to retention with leak diagnosis and a GA4 event spec.
  • Invoke whenever the user says "funnel", "where are we leaking", "conversion drop", "activation rate", or runs `/market funnel <url>`.
  • Produces FUNNEL-ANALYSIS.md with stage-by-stage scores and an implementable analytics event map.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 44
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,357 B
  • docs SUMMARY.md 348 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

Market Funnel — Full Journey Diagnosis

Model the full funnel, identify where prospects drop off, and hand back an analytics spec the client's engineer can implement directly.

The 6 Funnel Stages

Stage Goal Key metric
1. Awareness Get in front of the right audience Impressions, reach, branded search
2. Acquisition Earn the click CTR, referral traffic, CAC
3. Activation First value moment Signup rate, first-action rate
4. Revenue First purchase or trial conversion Trial→paid, ARPU
5. Retention Continued use DAU/MAU, churn, repeat rate
6. Referral Organic growth NPS, referral rate, virality coefficient

Pirate metrics (AARRR) plus Awareness, adapted for 2025 realities.

Workflow

  1. Map the existing funnel based on what's visible: the home page, the pricing page, the signup flow, the app/experience.
  2. Score each stage 0–10 using the rubrics below.
  3. Name the leak — the stage with the steepest drop-off relative to benchmark.
  4. Propose fixes per stage with expected impact.
  5. Write the GA4 event spec — every event name, params, when it fires.

Stage Rubrics

1. Awareness (0–10)

  • Channels in use (organic, paid, social, referral, partnerships)
  • Branded vs non-branded traffic mix
  • Share of voice vs competitors (ballpark from search data)
  • Content cadence

2. Acquisition (0–10)

  • Landing page → form view rate
  • Page load speed
  • Hero-to-CTA distance
  • Ad / organic message match

3. Activation (0–10)

  • Signup friction (fields, steps, time)
  • First value moment — is there a "wow" before the user has to commit?
  • Empty state quality
  • Onboarding sequence present?

4. Revenue (0–10)

  • Trial length and gating
  • Pricing page clarity
  • Checkout friction
  • Payment options
  • Refund/cancel policy transparency

5. Retention (0–10)

  • Product usage signal (if visible)
  • Lifecycle emails
  • Re-engagement paths
  • Churn recovery

6. Referral (0–10)

  • Explicit referral program
  • Shareable moments built in
  • Testimonial capture
  • UGC encouragement

Benchmarks (use these, state they're rough)

Stage SaaS E-com Agency
Visitor → signup 2–5%
Visitor → purchase 1.5–3.5%
Visitor → booked call 2–5%
Trial → paid 15–25%
Cart → checkout 40–70%
Checkout → purchase 65–85%
Month 1 retention 70%+ 15–25% (repeat)

GA4 Event Spec (deliverable)

Produce a table the client's engineer can implement in one sitting:

Event name When it fires Params Stage
page_view Every page load pagelocation, pagetitle, page_referrer Awareness
scroll_50 Scroll depth 50% page_location Awareness
cta_click Any primary CTA click ctatext, ctalocation, destination Acquisition
sign_up Account creation success method, plan Activation
onboarding_step Each onboarding step stepnumber, stepname Activation
first_value Key activation moment (client-specific) feature Activation
begin_checkout Checkout loaded value, currency, items Revenue
purchase Payment success transaction_id, value, currency, items Revenue
subscription_started First recurring charge plan, value, billing_period Revenue
feature_used Core feature event (client-specific) feature, count Retention
churn_risk Inactivity 14d+ last_active Retention
referral_sent Share action channel Referral

Adjust events to the specific product. Always include the stage mapping so the client can build funnel reports in GA4 directly.

Output: FUNNEL-ANALYSIS.md

# Funnel Analysis — [Brand]
**URL:** [url]  |  **Date:** [YYYY-MM-DD]

## Funnel Score: [X]/100

[1-paragraph diagnosis: where the funnel leaks worst and why.]

## Stage Scores
| Stage | Score | Status | Top Issue |
|---|---|---|---|

## Stage-by-Stage Analysis
### 1. Awareness — X/10
[Findings, evidence, fixes]

... repeat for all 6 stages ...

## The Leak
[Name the #1 drop-off point. Estimate its cost. Explain why.]

## Fixes by Stage
### Quick wins (this week)
### High-leverage (this month)
### Strategic (this quarter)

## GA4 Event Spec
[Full table as above]

## Reporting
[3 GA4 exploration reports the client should build: funnel exploration, path exploration, retention.]

Quality Bar

  • Be honest about what you can and can't see. The homepage shows you stages 1–3 clearly; 4–6 require the client's analytics data. If you can't see it, flag it.
  • The GA4 spec is the most actionable part — it should be copy-paste-ready for a developer.
  • Don't invent conversion rates. If you don't know actual CR, say "assume 3% baseline" and compute impact from there.