Predicting Click-Through Rates (CTR) for Email Campaigns

Optimizing Digital Marketing

Email campaigns are a staple of digital marketing, but predicting their Click-Through Rate (CTR) before sending allows marketing teams to optimize subject lines, content, and targeting dynamically.

Regression Modeling

By analyzing historical campaign data, I evaluated Linear Regression, Decision Trees, Random Forests, and Gradient Boosting algorithms. The Histogram Gradient Boosting Regression model provided the most accurate predictions for CTR.

Campaign Success

Securing the 12th rank out of 8235 participants, this model empowers marketers to use data science to transition from A/B testing to predictive campaign design.