Case Study: CRED predicts perfect influencer matches with HypeAuditor

How CRED uses HypeAuditor’s API to effortlessly predict perfect influencer matches

CRED Investments, a global sports-focused investor working with athletes, clubs, and leagues, needed a more reliable way to match its clients with sponsors and brands. The challenge was to evaluate a huge pool of potential partners, minimize the risk of mismatches, and account for fake followers and other unreliable social media data.

HypeAuditor’s API Tool helped CRED quickly pull audience insights, authentic reach data, and overlap statistics into its machine-learning models to improve match predictions. With HypeAuditor, CRED automated more of its process, reduced the risk of inaccurate predictions, and gained faster, more reliable insights that support higher-value collaborations and better outcomes for both CRED and its clients.

CRED

Cherry Shah

Director of Engineering