Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:I can't imagine these schools have the IT means to track interest via URL clicks and emails clicks. There's just no way, that would be a massive data mining experience.
They hire outside consultants to do this for them. Enrollment management is a $15 billion/year industry.
+1, I attend two enrollment management presentations each school year as a professor at a R1 university.
Do schools that claim not to consider demonstrated interest still do this?
They're not just data mining to measure demonstrated interest. They are using data to predict who will accept admission, how much merit aid they'll have to spend to attract someone from your zip code, etc.
Yes, the PP is correct. I have worked at a T10 private, R1 public, SLAC, and T25 private. Only the SLAC used the data to measure demonstrated interest and to determine merit aid. The other schools used enrollment management data to determine yield, resource planning (e.g., which departments get more/less funding based on predicted majors, etc.), to market to demographics that reflect institutional priorities, e.g., 1st gen, etc.
Right, but doesn't yield - the likelihood of a particular applicant enrolling - affect the admission decision for that applicant?
Yes, it does. However, demonstrated interest (i.e., campus/virtual visits, meeting with admission officers/reps, email/social media engagement) is not a variable used to crunch the data using enrollment management software. My university determines yield using other data, i.e., supplemental essays, applying early action, and aspects of the application demonstrate the student really researched the university.
Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:I can't imagine these schools have the IT means to track interest via URL clicks and emails clicks. There's just no way, that would be a massive data mining experience.
They hire outside consultants to do this for them. Enrollment management is a $15 billion/year industry.
+1, I attend two enrollment management presentations each school year as a professor at a R1 university.
Do schools that claim not to consider demonstrated interest still do this?
They're not just data mining to measure demonstrated interest. They are using data to predict who will accept admission, how much merit aid they'll have to spend to attract someone from your zip code, etc.
Yes, the PP is correct. I have worked at a T10 private, R1 public, SLAC, and T25 private. Only the SLAC used the data to measure demonstrated interest and to determine merit aid. The other schools used enrollment management data to determine yield, resource planning (e.g., which departments get more/less funding based on predicted majors, etc.), to market to demographics that reflect institutional priorities, e.g., 1st gen, etc.
Right, but doesn't yield - the likelihood of a particular applicant enrolling - affect the admission decision for that applicant?
Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:I can't imagine these schools have the IT means to track interest via URL clicks and emails clicks. There's just no way, that would be a massive data mining experience.
They hire outside consultants to do this for them. Enrollment management is a $15 billion/year industry.
+1, I attend two enrollment management presentations each school year as a professor at a R1 university.
Do schools that claim not to consider demonstrated interest still do this?
They're not just data mining to measure demonstrated interest. They are using data to predict who will accept admission, how much merit aid they'll have to spend to attract someone from your zip code, etc.
Yes, the PP is correct. I have worked at a T10 private, R1 public, SLAC, and T25 private. Only the SLAC used the data to measure demonstrated interest and to determine merit aid. The other schools used enrollment management data to determine yield, resource planning (e.g., which departments get more/less funding based on predicted majors, etc.), to market to demographics that reflect institutional priorities, e.g., 1st gen, etc.
Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:I can't imagine these schools have the IT means to track interest via URL clicks and emails clicks. There's just no way, that would be a massive data mining experience.
They hire outside consultants to do this for them. Enrollment management is a $15 billion/year industry.
+1, I attend two enrollment management presentations each school year as a professor at a R1 university.
Do schools that claim not to consider demonstrated interest still do this?
They're not just data mining to measure demonstrated interest. They are using data to predict who will accept admission, how much merit aid they'll have to spend to attract someone from your zip code, etc.
Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:I can't imagine these schools have the IT means to track interest via URL clicks and emails clicks. There's just no way, that would be a massive data mining experience.
They hire outside consultants to do this for them. Enrollment management is a $15 billion/year industry.
+1, I attend two enrollment management presentations each school year as a professor at a R1 university.
Do schools that claim not to consider demonstrated interest still do this?
Anonymous wrote:Anonymous wrote:Anonymous wrote:I can't imagine these schools have the IT means to track interest via URL clicks and emails clicks. There's just no way, that would be a massive data mining experience.
They hire outside consultants to do this for them. Enrollment management is a $15 billion/year industry.
+1, I attend two enrollment management presentations each school year as a professor at a R1 university.