Skip to main content
Add as a preferred source on Google


Bennington College Implements Yield Optimization Software

  • By Dian Schaffhauser
  • 02/25/09

Bennington College in Vermont has selected Rapid Insight as its analytic software provider. Bennington plans to start off by using Rapid Insight's new software, Yield Optimization, to improve recruiting cost effectiveness and to optimize applicant yield rates from prospect and inquiry pools.

The solution uses information from the initial inquiry source, demographic information, and how far the prospect lives from the institution to enable the institution to target its marketing and recruiting efforts to increase yield rates, while minimizing costs. The Rapid Insight Student Prospect Yield software and methodology uses the company's data integration and analytics technology.

"Rapid Insight has worked hard to create models and methodologies that clearly demonstrate the immediate value of their solutions," said Heather Clifford, senior assistant to the dean of admissions and financial aid. "We are very excited to begin our utilization, and we are equally thrilled with their commitment to partnering with us to ensure success."

Following the implementation of Prospect Yield Optimization, Bennington plans to implement the vendor's student retention software. In addition, the college anticipates expanding the use of these tools in the management of facilities, schedule, and staffing.

The student yield optimization program starts at $8,500 for a single license.

About the Author

Dian Schaffhauser is a former senior contributing editor for 1105 Media's education publications THE Journal, Campus Technology and Spaces4Learning.

Featured

  • abstract illustration of artificial intelligence

    CSU Shares AI Learnings in Systemwide Survey

    In a systemwide survey of more than 94,000 faculty, staff, and students, California State University recently documented widespread AI use across its 22 campuses.

  • AI logo near computer equipment

    White House Releases National Policy Framework for AI

    The White House has released a four-page AI policy framework aimed at setting a national approach to AI, with priorities including child safety, intellectual property protections, truth and accuracy guardrails, and worker training for an AI-driven economy.

  • Dana Brunson facilitates a roundtable discussion with research and higher education IT leaders

    Internet2: Closing the Access Gap for Research Cyberinfrastructure

    Internet2's Research Engagement Team brings CIOs and other campus technology leadership together with research computing and data facilitators, forming a community that enables research cyberinfrastructure at institutions of all types and sizes.

  • Silhouettes of business professionals stand against a blurred futuristic city skyline at night, with a glowing digital network data connection

    It's Time for Higher Ed to Get Serious About AI Strategy

    Without a coordinated strategy that involves multiple academic and administrative units across the entire campus, colleges risk wasting resources, duplicating efforts, and ultimately failing to deliver on the promise of deploying technology to improve learning and operations.