---
name: ai-conversion-ops-56934509a15f
description: "Open-source AI marketing skills for Claude Code \u2014 growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation"
---

# AI Conversion Ops

## Preamble (runs on skill start)

```bash
# Version check (silent if up to date)
python3 telemetry/version_check.py 2>/dev/null || true

# Telemetry opt-in (first run only, then remembers your choice)
python3 telemetry/telemetry_init.py 2>/dev/null || true
```

> **Privacy:** This skill logs usage locally to `~/.ai-marketing-skills/analytics/`. Remote telemetry is opt-in only. No code, file paths, or repo content is ever collected. See `telemetry/README.md`.

---

AI-powered conversion rate optimization: landing page audits, CRO scoring, survey segmentation, and lead magnet generation.

## When to Use

- User asks for a landing page audit or CRO analysis
- User wants to score a page across conversion dimensions
- User needs to identify conversion bottlenecks on a URL
- User has survey data and wants to segment respondents by pain point
- User wants lead magnet ideas generated from survey responses
- User needs batch CRO analysis across multiple URLs

## Tools

### CRO Audit (`cro_audit.py`)

Fetches a landing page and scores it across 8 conversion dimensions. No headless browser needed.

```bash
# Single URL audit
python cro_audit.py --url https://example.com/landing-page

# Batch mode — multiple URLs
python cro_audit.py --urls https://example.com/page1 https://example.com/page2

# URLs from a file (one per line)
python cro_audit.py --file urls.txt

# Specify industry for benchmark comparison
python cro_audit.py --url https://example.com --industry saas

# JSON output
python cro_audit.py --url https://example.com --json

# Save report to file
python cro_audit.py --url https://example.com --output report.json
```

**Scoring dimensions (each 0–100):**
1. **Headline Clarity** — Is the value prop obvious in <5 seconds?
2. **CTA Visibility** — Are CTAs prominent, contrasting, above the fold?
3. **Social Proof** — Testimonials, logos, case studies, numbers?
4. **Urgency** — Scarcity, deadlines, limited offers?
5. **Trust Signals** — Security badges, guarantees, privacy, certifications?
6. **Form Friction** — How many fields? Is the form intimidating?
7. **Mobile Responsiveness** — Viewport meta, responsive patterns, touch targets?
8. **Page Speed Indicators** — Image optimization, script count, resource size?

**Overall CRO Score** = Weighted average across all 8 dimensions.

**Output includes:**
- Per-dimension score with specific findings
- Priority fixes ranked by impact
- Before/after suggestions for each issue
- Industry benchmark comparison
- Overall letter grade (A+ through F)

**Supported industries:** `saas`, `ecommerce`, `agency`, `finance`, `healthcare`, `education`, `b2b`, `general`

### Survey-to-Lead-Magnet Engine (`survey_lead_magnet.py`)

Ingests survey CSV data, clusters respondents by pain point, and generates lead magnet briefs for each segment.

```bash
# Basic usage — analyze survey CSV
python survey_lead_magnet.py --csv survey_responses.csv

# Specify which columns contain pain points / challenges
python survey_lead_magnet.py --csv survey.csv --pain-columns "biggest_challenge" "top_frustration"

# Limit number of segments
python survey_lead_magnet.py --csv survey.csv --top-segments 5

# JSON output
python survey_lead_magnet.py --csv survey.csv --json

# Save output
python survey_lead_magnet.py --csv survey.csv --output lead_magnets.json
```

**What it produces:**
- Pain point clusters with respondent counts
- Segments ranked by size and commercial potential
- For each top segment, a lead magnet brief:
  - Title, format (guide/checklist/template/calculator), hook
  - Content outline (5–7 sections)
  - Target CTA and distribution channel
  - Viral potential score + conversion potential score
- Prioritized implementation roadmap

**CSV format:** Questions as column headers, one respondent per row. Works with any survey tool export (Typeform, Google Forms, SurveyMonkey, etc.)

## Configuration

No API keys required. Both tools work with local analysis only.

Optional environment variables:

| Variable | Required | Description |
|----------|----------|-------------|
| `USER_AGENT` | No | Custom user agent for page fetching (default provided) |
| `REQUEST_TIMEOUT` | No | HTTP timeout in seconds (default: 15) |

## Recommended Workflow

1. **Weekly:** Run `cro_audit.py` on your top landing pages to track CRO scores over time
2. **Post-survey:** Run `survey_lead_magnet.py` to turn survey data into content strategy
3. **Pre-launch:** Audit new landing pages before driving paid traffic
4. **Monthly:** Batch audit competitor landing pages to benchmark against

## Dependencies

```bash
pip install -r requirements.txt
```


---
Source attribution: ericosiu
Original project: https://github.com/ericosiu/ai-marketing-skills/blob/8088e1a167804d5615f6e982f62e5b4b6ff8f2f1/conversion-ops/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Single Grain

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: ericosiu
Original project: https://github.com/ericosiu/ai-marketing-skills/blob/8088e1a167804d5615f6e982f62e5b4b6ff8f2f1/conversion-ops/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing
Roles: Content Marketer, Growth Marketer, Marketing Analyst, Product Marketer, SEO Specialist
Specialties: API
Tools: Tool not specified
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: df3266c6e863558144a5cfb5223a6ecdcbeade67a150bf16912d8d78addf9988