https://github.com/191avi/meta-ads-intelligence
🎯 Complete Meta Ads Intelligence System — audience targeting, creative engine, tracking setup, campaign structure & 2026 benchmarks. Built with React.
https://github.com/191avi/meta-ads-intelligence
ads-intelligence digital-marketing facebook-ads marketing meta-ads react vercel
Last synced: 2 days ago
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🎯 Complete Meta Ads Intelligence System — audience targeting, creative engine, tracking setup, campaign structure & 2026 benchmarks. Built with React.
- Host: GitHub
- URL: https://github.com/191avi/meta-ads-intelligence
- Owner: 191Avi
- Created: 2026-06-01T10:55:26.000Z (23 days ago)
- Default Branch: main
- Last Pushed: 2026-06-01T12:28:28.000Z (23 days ago)
- Last Synced: 2026-06-01T14:18:05.655Z (23 days ago)
- Topics: ads-intelligence, digital-marketing, facebook-ads, marketing, meta-ads, react, vercel
- Language: JavaScript
- Homepage: https://meta-ads-intelligence-nine.vercel.app
- Size: 31.3 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🎯 Meta Ads Intelligence System 2026
> A complete, interactive Meta Ads strategy guide built with React — covering audience targeting, creative formats, tracking setup, campaign structure, and real 2026 cost benchmarks.
🔗 **Live Demo:** [meta-ads-intelligence-nine.vercel.app](https://meta-ads-intelligence-nine.vercel.app)
---
## 📖 About
This project is a single-page React application that serves as a comprehensive Meta Ads reference tool for marketers, entrepreneurs, and media buyers. It presents actionable frameworks for running profitable Meta (Facebook, Instagram, WhatsApp, Messenger) ad campaigns in 2026.
---
## ✨ Features
- **🗺 System Overview** — Core problem vs. solution framework, campaign objective guide, and quick-start checklist
- **🎯 Audience Layers** — 3-tier funnel (Cold → Warm → Hot) with 12+ targeting methods and impact ratings
- **🎬 Creative Engine** — Top 6 ad formats ranked by effectiveness score with hooks, specs, and refresh schedule
- **📡 Tracking Setup** — 8-step signal quality system (Meta Pixel + CAPI + EMQ optimization)
- **🏗 Campaign Structure** — 3-layer funnel architecture with budget splits and bidding strategy guide
- **💰 Budget & Costs** — 2026 industry benchmarks by category (CPC, CPM, CPA, ROAS) and budget tier strategies
---
## 🛠 Tech Stack
| Tool | Purpose |
|------|----------|
| **React 18** | UI framework |
| **Create React App** | Build tooling |
| **Vercel** | Hosting & deployment |
| **Google Fonts** | Typography (Playfair Display, DM Sans, DM Mono) |
| **CSS-in-JS (inline styles)** | Styling |
---
## 🚀 Getting Started
### Prerequisites
- Node.js 18+
- npm
### Installation
```bash
# Clone the repository
git clone https://github.com/191Avi/meta-ads-intelligence.git
cd meta-ads-intelligence
# Install dependencies
npm install
# Start development server
npm start
```
The app will run at `http://localhost:3000`
### Build for Production
```bash
npm run build
```
---
## 📁 Project Structure
```
meta-ads-intelligence/
├── public/
│ └── index.html # HTML entry point
├── src/
│ ├── App.jsx # Main app component (all UI & data)
│ └── index.js # React DOM entry point
├── package.json
├── vercel.json # Vercel deployment config
└── README.md
```
---
## 📊 What's Inside
- **12+ audience targeting methods** with impact ratings across Cold, Warm, and Hot tiers
- **6 creative ad formats** ranked by 2026 effectiveness score with proven hooks
- **8-step tracking setup** guide covering Pixel, CAPI, EMQ, Advanced Matching, and Catalog
- **Real 2026 benchmarks** — CPC, CPM, CPA, and ROAS across 7 industries
- **Budget strategy** for $5/day to $500+/day spend levels
---
## 📄 License
MIT License — free to use for educational and personal projects.
---
*Built with ❤️ for Meta advertisers who want real results, not guesswork.*