The EduData Podcast

Measuring What Matters: Using Machine Learning to Analyze Recruitment Efforts and Their Impact on Enrollment

Episode Summary

Every email, text message, and outreach effort plays a role in shaping a prospective student’s journey — but how can colleges truly measure which actions make the biggest impact? In this episode, Jamie and Tim walk through how machine learning can be applied to analyze the effectiveness of recruitment efforts, helping institutions understand which strategies drive completed applications and boost enrollment.We’ll take a hands-on look at the analytical process, from collecting data to building models that measure the true influence of different touchpoints. Whether your team is just starting to explore data-driven decision-making or looking to refine existing strategies, this session will provide valuable insights into connecting outreach efforts to enrollment outcomes.

Episode Notes

Every email, text message, and outreach effort plays a role in shaping a prospective student’s journey — but how can colleges truly measure which actions make the biggest impact?

In this episode, Jamie and Tim walk through how machine learning can be applied to analyze the effectiveness of recruitment efforts, helping institutions understand which strategies drive completed applications and boost enrollment.We’ll take a hands-on look at the analytical process, from collecting  data to building models that measure the true influence of different touchpoints.

Whether your team is just starting to explore data-driven decision-making or looking to refine existing strategies, this session will provide valuable insights into connecting outreach efforts to enrollment outcomes.