The law firm needed to find potential class action participants in specific geographic areas, but traditional marketing was too broad and expensive. They were wasting money reaching the wrong people in the wrong places.
I built a smart, data-driven solution that turned publicly available information into precise marketing targeting:
- Custom Python Data Scraper: Built an automated script that efficiently collected hundreds of postal codes from government websites, creating a comprehensive target database.
- Smart Data Processing: Cleaned and formatted the scraped postal codes into a ready-to-use file that integrated seamlessly with Facebook's ad platform.
- Precision Geographic Targeting: Used the processed data to create hyper-focused Facebook ad campaigns that only reached people in the most relevant areas.
- Campaign Optimization: Fine-tuned audience settings and targeting parameters to maximize engagement and minimize wasted ad spend.
