While seemingly a “cookie cutter” use case for AI chatbots, the impact has spread across campus.

For Kyle Corrigan, Associate Director of Recruitment Marketing at Rowan University, Ocelot’s Google Analytics integration helped quantify goals and impact of the chatbot tracked within Google Analytics that inform larger enrollment and website strategies (tracking prospective student interest, application submissions, etc).

For example, chatbot interactions set up as events within Google Analytics enables chatbot usage to become a defined part of Rowan University’s marketing attribution model. Every website conversion including information requests, application submissions, event signups, and deposit submissions can be tracked back to how the chatbot was a part of a visitor’s website journey. Data quickly the impact the chatbot was having – as those that interacted with the chatbot were converting at twice the rate of those who did not.

Kyle even set up a lookalike audience in Google Ads of chatbot users for retargeting campaigns, and with this high-intent audience, Kyle quickly reduced application cost-per-submission spend by $20.