For an applicant model — after a large influx of names, or before an initiative such as a big mailing where you’ll need a prioritized list. For an enrollment model — after a significant number of new admitted students or when wanting to test a different scenario of hypothetical admits.
Can this technology differentiate between more than one IP address at one home?
Does CBE work across devices?
How do you track the data for multiple users on the same device?
How is CBE different from other marketing automation tools (HubSpot, Marketo, etc.)?
How much time will it take our IT department to implement CBE?
We’re already using Google Analytics on our website. Why would we need CBE?
What technology is used for your dynamic content? Does it work on smartphones? Can it be blocked by pop-up blockers?
I’m used to looking at p-values and R-squared values for my models. How do I know if your model is accurate?
My enrollment model is predicting that we’re below target. What should I do?
We already have more deposits than the total number that Envision is predicting. Does that mean the prediction is wrong?
What do your performance statistics mean?
What features are in my model?
What’s an ensemble model?
What’s the difference between a linear and non-linear model?
When should I submit data for another iteration?
Why do you predict from prospects to application, not to enrollment?