Amazon Bid Master

End-to-End Bid Optimization & Analytics Tool for Amazon PPC Managers

Table of Contents

• Introduction
• Features
• Tech Stack
• Getting Started
  • Prerequisites
  • Installation
  • Running the Application
• Project Structure
• Usage
• Contributing
• License

Introduction

This tool is designed to empower Amazon sellers and agencies to optimize their PPC campaigns, improve performance metrics like ROAS and ACOS, and make data-driven decisions to maximize advertising ROI.

Features

• CSV Data Upload and Processing: Easily upload Amazon PPC performance data in CSV format.
• Rule-Based Bid Optimization Engine: Automate bid adjustments based on predefined and custom rules.
• Performance Forecasting with ML: Generate performance forecasts using machine learning models.
• Interactive Dashboards and Analytics: Visualize campaign performance with interactive charts and data tables.
• Campaign Management and Monitoring: Manage and monitor campaigns, keywords, and ASINs.

Tech Stack

• Frontend: React, TypeScript, Vite
• Backend: Node.js, Express
• ML/Analytics: Custom forecasting algorithms
• Database: (To be implemented)

Getting Started

Prerequisites

• Node.js (v18 or higher)
• npm (v8 or higher)

Installation

1. Clone the repository

   git clone https://github.com/yourusername/amazon-bid-master.git
   cd amazon-bid-master
   

2. Install dependencies npm run install:all

Running the Application

1. Start the development server
   npm run dev The application will be available at http://localhost:5000.

Project Structure

amazon-bid-master/ ├── client/ # React frontend │ ├── src/ │ │ ├── components/ # React components │ │ └── ... │ ├── index.html # HTML template │ ├── main.tsx # Entry point for React │ └── ... ├── server/ # Express backend │ ├── routes/ # API routes │ ├── index.ts # Server entry point │ └── ... ├── shared/ # Shared types and utilities │ ├── ml/ # Machine learning models │ ├── services/ # Services like RuleEngine │ └── types/ # TypeScript types ├── .gitignore # Git ignore file ├── package.json # Project metadata and scripts ├── README.md # Project documentation └── ...

Usage

CSV Data Upload

1. Navigate to the data upload section in the application.
2. Drag and drop your CSV file or use the file selection dialog to upload your Amazon PPC performance data.
3. The tool will automatically parse and validate the data.

Rule-Based Bid Optimization

1. Define rules using the rule builder interface.
2. Choose from predefined templates or create custom rules.
3. Activate the rules to start automating bid adjustments based on your criteria.

Performance Forecasting

1. View performance forecasts on the dashboard.
2. Analyze forecasted metrics like spend, sales, ACOS, and ROAS.
3. Use the insights to make data-driven decisions for your campaigns.

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.