Business Problem: Analyze customer demography data to ensure effectiveness of email marketing campaign
Our Solution: With the spread of Social networks, keeping Direct mail campaigns effective and relevant has become very important. A huge history of direct mail responses were crunched to determine
- Who was likely to open a campaign email?
- Who would click on product related information from the email?
- How well did this pattern match the prospects targeted by the campaign?
Using sophisticated variable reduction techniques like Principal Component Analysis, along with data cleansing & transformation techniques, data was handled efficiently. “Boosting” was done using the classification ensemble tree method. The solution was optimized for execution within a specified time window.
Technology: R2.15.1, RODBC, SQL