KDnuggets : News : 2007 : n12 : item33 < PREVIOUS | NEXT >

Briefs

CourseAdvisor Forms Data Mining Group to Increase Enrollments at Postsecondary Schools

New Group Analyzes Student Profiles and Trends to Match Prospective Students to Schools

June 13, 2007, WAKEFIELD, Mass.--(BUSINESS WIRE)--CourseAdvisor, a marketing and lead generation company that operates one of the top online education directories (OED), today announced a newly formed Data Mining Group. The group works with educational institutions to learn more about their course offerings and understand the ideal profile for a successful enrollee. By employing advanced data capturing and filtering techniques to the institution’s inquiry data pool, the group identifies ideal prospective students – those with a high propensity to apply and enroll – and tailors the school’s campaign to target them. This process results in improved conversion rates of leads-to-enrollments. The announcement was made today at Career College Association Convention & Exposition.

CourseAdvisor’s mission is two-fold: to help prospective students find the right school and to help schools find qualified students for their curriculum. With a unique combination of mathematical modeling, behavioral analysis and sophisticated search technology, CourseAdvisor connects students with programs best suited for them and connects schools with their ideal student candidates.

Featuring over 500 schools and 8,000 programs of study, CourseAdvisor.com is an online education directory of postsecondary education, professional training and lifelong learning resources. CourseAdvisor gathers significant amounts of data from the millions of visitors to their OED. The Data Mining Group aggregates this data and other school information. CourseAdvisor uses this information to shape its customers’ lead generation strategies and connect prospective students with programs that meet their needs. This approach yields increased enrollments and revenue for the schools.

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KDnuggets : News : 2007 : n12 : item33 < PREVIOUS | NEXT >

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