Episode 112: How Predictive Analytics Works for Marketing and Admissions in Higher Ed episode artwork

EPISODE · Dec 2, 2021 · 55 MIN

Episode 112: How Predictive Analytics Works for Marketing and Admissions in Higher Ed

from Higher Ed Pulse · host Zach Busekrus, Gerald Stanley

On this week’s episode of The Enrollify Podcast, Zach sits down with Gerald Stanley, CEO of Inroads Analytics to discuss how predictive analytics helps higher ed marketers and admissions professionals make smarter decisions on how to spend their time, energy, and money. Most enrollment marketers are at least somewhat familiar with predictive analytics as it relates to deciding which names to buy for a student search campaign, but there is so much more to predictive. Discover how schools are using predictive analytics through the academic year to empower their marketing and admissions teams with the daily insight they need to increase quality inquiries, applications, and enrolled students. To learn more about the work Gerald and his team are doing at Inroads, you can visit their website here or connect with Gerald on LinkedIn.Learn more about this episode and about our sponsors in our show notes. - - - -Connect With Our Host:Mallory Willsea https://www.linkedin.com/in/mallorywillsea/https://twitter.com/mallorywillseaAbout The Enrollify Podcast Network:The Higher Ed Pulse is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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Zach sits down with Gerald Stanley, CEO of Inroads Analytics, to discuss how predictive analytics helps higher ed marketers and admissions professionals make smarter decisions on how to spend their time, energy, and money.

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Episode 112: How Predictive Analytics Works for Marketing and Admissions in Higher Ed

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