Move Over Predictive Modeling! Make Room for Behavioral Analytics

108% [1] —that’s how much college applications increased from 2001 to 2014. During that same thirteen years, high school graduates increased just under 12%. What does this mean for your admissions office? Sending the same response to each prospective student won’t work! Not only do you need a workflow that scales so you can respond to more applications, but you must target your responses for the highest impact.

Many schools see predictive modeling as a standalone potential solution. Typically based on demographic data points like location and GPA, predictive models assign values based on past performance. This data is insightful, but there are problems to relying solely on it to inform your enrollment marketing strategy. For instance, putting the ever-changing environment of admissions aside, what if you don’t have access to historical data? What if you do but you’re limited by a small sample size?

There’s a better solution available and it’s as simple as letting all of your data work together. Watch the recording of our “Move Over Predictive Modeling! Make Room for Behavioral Analytics” webinar to see how combining your predictive, trend-driven data points with engagement scores can help you:

  • Establish a more intensive and relevant follow up approach.
  • Leverage focused and meaningful personal outreach to connect with students.
  • Maximize outreach with an integrated system.
  • Customize values—from email opens to specific link clicks—in order to track what works best with your highest priority students.

View the webinar slides here. Interested in seeing more of EMP? Sign up for a demo here.

[1]: https://www.academicimpressions.com/news/yield-rates-are-declining-why

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