Amazon Affiliate Sales Monthly Reporting Database

I developed a robust Amazon Affiliate Sales Reporting Database for an Amazon influencer and affiliate marketer. The goal was to create a dynamic and reliable system for attributing sales to content sources and generating monthly, quarterly, and annual reports.

Database Creation: Design and implement a database to handle affiliate sales data and attribution.

Attribution Matching: Enable dynamic attribution based on product names, ASINs, and tracking IDs.

Monthly Updates: Ensure that new sales data is accurately matched with established sources.

Reporting: Generate comprehensive reports showing sales volumes and commissions by product, source, and category.

Dynamic Attribution System:

Reporting Interface:

Database Management: Implemented using MySQL or PostgreSQL to ensure reliable data storage and retrieval.

Data Parsing: Developed scripts to parse and update sales data from CSV or Excel files.

Reporting Tools: Utilized Excel or Google Sheets for generating and exporting reports.

Hosting Solution: Recommended a cost-effective hosting solution such as AWS, Google Cloud, or self-hosted options that align with client needs.

Impact

Efficiency: Streamlined the process of tracking and attributing affiliate sales, reducing manual effort.

Accuracy: Improved accuracy of sales attribution, ensuring fair compensation for content sources.

Flexibility: Provided a scalable system adaptable to future needs and changes in attribution rules.

Further Discussions: Explore additional requirements or customizations based on specific needs.

Implementation: Begin development and deployment of the database system.

Ongoing Support: Offer support for future updates and maintenance.