A law firm sought to efficiently connect with potential class action participants. Demographic research identified key geographic areas with eligible individuals. Traditional marketing methods lacked the precision needed to reach these communities effectively, prompting the need for a data-driven approach to engage the most relevant locations.
Project Objectives
- Use a Python script to collect relevant geographic information.
- Ensure collected postal codes were formatted correctly for Facebook Ads as they were added to a raw data file.
- Implement targeted Facebook advertising campaigns using the collected data.
- Maximize return on ad spend through precise geographic targeting.
Project Challenges
The main challenge was to efficiently collect and process large volumes of publicly available geographic data from government websites to identify potential client locations. This required developing a custom Python script that could accurately scrape and format postal code data for marketing use.
- Design and implement an efficient web scraping solution.
- Process and clean hundreds of postal codes for marketing use.
- Integrate the data with Facebook's advertising platform.
- Optimize ad targeting parameters for maximum reach.
- Track and measure campaign performance metrics.