Market Funnel

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 | page_location, page_title, page_referrer | Awareness | | scroll_50 | Scroll depth 50% | page_location | Awareness | | cta_click | Any primary CTA click | cta_text, cta_location, destination | Acquisition | | sign_up | Account creation success | method, plan | Activation | | onboarding_step | Each onboarding step | step_number, step_name | 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: rediumvex
• Source: rediumvex/ai-marketing-claude
• License: MIT

Install and usage instructions live in the source repository linked above.