conversion-audit

name	Conversion Audit
description	Score landing pages across 8 CRO dimensions from a URL — plus survey-to-lead-magnet pipeline from CSV data
category	Marketing
roles	["cmo","sdr","lead-finder"]
triggers	["audit this page","CRO score","landing page review","conversion audit","score this landing page","lead magnet from survey"]

Overview

Two tools in one skill. Tool 1: give it a URL, get an 8-dimension CRO score. Tool 2: give it survey CSV data, get lead magnet strategies per segment. Zero external API cost — uses JINA_READ to fetch pages.

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Tool 1: CRO Page Audit

Step 1: Fetch the Page

use research JINA_READ '{"url":"TARGET_URL"}'

This returns the page content as clean markdown. Parse it for: headlines, CTAs, form fields, testimonials, trust signals, images, meta tags.

Step 2: Score 8 Dimensions (each 0-100)

1. Headline Clarity (0-100)

• 90-100: Value prop obvious in <5 seconds, specific benefit, customer language
• 70-89: Clear but generic, could be any company
• 50-69: Vague or feature-focused instead of benefit-focused
• 0-49: Missing, confusing, or purely clever (no meaning)

2. CTA Visibility (0-100)

• 90-100: Above fold, contrasting color, specific text ("Start Free Trial"), low-commitment
• 70-89: Present but generic ("Sign Up", "Learn More")
• 50-69: Below fold only, or blends with design
• 0-49: Missing or buried

3. Social Proof (0-100)

• 90-100: Named testimonials with photos + results, recognizable logos, specific numbers ("14,000 teams")
• 70-89: Testimonials present but generic ("Great product!")
• 50-69: Logos only, or vague claims ("Trusted by thousands")
• 0-49: No social proof at all

4. Urgency/Scarcity (0-100)

• 90-100: Genuine scarcity with deadline or limited availability
• 70-89: Soft urgency ("Start today", "Don't miss out")
• 50-69: No urgency but has clear next step
• 0-49: No reason to act now

5. Trust Signals (0-100)

• 90-100: Money-back guarantee + security badges + privacy policy + recognizable certifications
• 70-89: Some trust elements present
• 50-69: Only basic footer links
• 0-49: No trust indicators

6. Form Friction (0-100)

• 90-100: 1-3 fields, no credit card, instant value
• 70-89: 4-5 fields, reasonable
• 50-69: 6+ fields or requires credit card upfront
• 0-49: Long forms, mandatory phone, complex multi-step

7. Mobile Responsiveness (0-100)

• Check viewport meta tag, responsive patterns in the HTML
• Score based on: readable font sizes, tap targets, no horizontal scroll indicators

8. Page Speed Indicators (0-100)

• Check: image count/sizes, script count, inline CSS vs external, lazy loading
• Score based on resource weight signals in the HTML

Overall CRO Score = weighted average:

• Headline Clarity: 20%
• CTA Visibility: 20%
• Social Proof: 15%
• Trust Signals: 15%
• Form Friction: 10%
• Urgency: 10%
• Mobile: 5%
• Speed: 5%

Letter grades: A+ (95-100), A (90-94), B+ (85-89), B (80-84), C+ (75-79), C (70-74), D (60-69), F (<60)

Step 3: Priority Fixes

For each dimension scoring below 70, generate:

• Issue: what's wrong specifically
• Fix: concrete copy/design change
• Impact: estimated lift (Low/Medium/High)
• Effort: implementation difficulty (Low/Medium/High)

Rank fixes by Impact/Effort ratio — highest impact, lowest effort first.

Step 4: Industry Benchmarks

Compare scores against industry averages:

Industry	Avg CRO Score	Top Quartile
SaaS	62	78+
Ecommerce	58	74+
Agency	55	72+
B2B	52	68+
Finance	60	76+
Healthcare	48	64+

Step 5: Output Format

## CRO Audit: [URL]
**Overall Score: [XX]/100 — Grade: [Letter]**
**Industry: [detected or specified] — Benchmark: [avg] — Your position: [above/below/at]**

### Dimension Scores
| Dimension | Score | Status | Key Finding |
(table with all 8 dimensions, green/yellow/red status)

### Priority Fixes (ranked by impact/effort)
1. [Highest priority fix with specific copy suggestion]
2. ...
3. ...

### What's Working Well
- [Positive findings]

### Competitor Comparison (if URLs provided)
(side-by-side scores)

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Tool 2: Survey-to-Lead-Magnet

Step 1: Ingest CSV

User provides survey CSV (from Typeform, Google Forms, SurveyMonkey, etc.) Parse: identify pain point columns, demographic columns, response counts.

Step 2: Cluster Pain Points

Group responses by similar themes. For each cluster:

• Cluster name
• Response count (% of total)
• Representative quotes
• Commercial potential (High/Medium/Low based on buying intent signals)

Step 3: Generate Lead Magnets

For each top cluster (max 5), generate:

• Title: specific, benefit-driven
• Format: guide / checklist / template / calculator / quiz (pick best for the pain point)
• Hook: one sentence that would make this segment click
• Outline: 5-7 sections
• CTA: what happens after they download
• Distribution: best channel to reach this segment
• Viral score: 1-10 likelihood of sharing
• Conversion score: 1-10 likelihood of converting to customer

Step 4: Implementation Roadmap

Prioritize lead magnets by: segment size × commercial potential × ease of creation

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Guidelines

• Always fetch the actual page — don't score from description alone
• Be brutally honest in scoring — inflated scores help nobody
• Provide SPECIFIC copy suggestions, not generic advice
• Compare to competitors when URLs are provided
• Survey clustering should use actual response text, not just column headers