TractionJackson

MVP Traction Bot — Validate demand before you build.

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What It Does

TractionJackson is a closed-loop experimentation system that helps founders answer one question quickly and cheaply:

"Do the right users stop scrolling, engage with my offer, and give real contact info for this promise?"

It's not a marketing tool. It's a learning machine.

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Quick Start

1. Open the dashboard: Open index.html in your browser
2. Review the seed experiment: SlotFillr.ai is pre-loaded as an example
3. Generate creatives: Go to Creative Engine → select hook families → generate
4. Build campaign spec: Go to Campaign Builder → export structure for manual setup
5. Log daily results: Go to Funnel Tracker → input your numbers
6. Get recommendations: Go to Decision Engine → analyze your data

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The Five Engines

Engine	What It Does
Experiment Definition	Structures your hypothesis, ICP, budget, and kill rules
Creative Generation	Generates hooks and scripts for TikTok/IG Reels
Campaign Builder	Outputs campaign structure specs for ad platforms
Funnel Tracker	Logs and visualizes your conversion funnel
Decision Engine	Analyzes results and recommends next steps

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Philosophy

• Learning velocity > vanity metrics
• Depth > breadth (TikTok + IG only)
• Let behavior decide if the product is good
• No fake social proof, no hype, no assumptions

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File Structure

tractionjackson/
├── index.html              # Main dashboard (open this)
├── README.md               # You're here
├── SYSTEM-DESIGN.md        # Architecture documentation
└── prompts/
    ├── experiment-creation.md    # Prompt template
    ├── hook-generation.md        # Prompt template
    ├── ad-script-generation.md   # Prompt template
    └── experiment-summary.md     # Prompt template

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Prompt Templates

Use these with Claude for deeper generation:

• Experiment Creation: Define new experiments with hypotheses and rules
• Hook Generation: Generate hook variants for different framing angles
• Ad Script Generation: Full scripts with text-on-screen and creative notes
• Experiment Summary: Founder-readable analysis of your results

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V1 Scope

Supported:

• TikTok Ads
• Instagram (Meta) Ads
• One landing page per experiment
• Email + phone conversion goal

Not supported yet:

• SEO, LinkedIn, Google Ads
• Email campaigns
• API integrations (manual setup for now)

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First Use Case: SlotFillr.ai

The dashboard comes pre-loaded with a SlotFillr.ai experiment:

• ICP: Appointment-based businesses (med spas, salons, PT clinics)
• Promise: Automatically fill empty appointment slots
• Goal: Validate demand before building the product

Use this as a template for your own MVPs.

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Data Storage

All data is stored in your browser's localStorage. To export:

1. Open browser console (F12)
2. Run: localStorage.getItem('tractionjackson_data')
3. Copy the JSON

To reset: localStorage.removeItem('tractionjackson_data')

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Built For

Founders who want to:

• Test ideas before building
• Spend $500 to learn, not $5,000 to guess
• Treat traction like engineering

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"Quant desk for messaging and demand."