Perform[cb]
34 Case Studies
A Perform[cb] Case Study
A well-known financial app, Retail Brand Financial App, engaged Perform[cb]'s Outcome Engine to help scale its user acquisition. Its primary challenge was to significantly reduce its cost-per-acquisition (CPA) without disrupting its current campaigns or compromising on the quality of new leads.
Using its PerformSense AI product, Perform[cb] analyzed consumer data with over 1,500 concurrent AI models to identify and integrate new, high-performing marketing channels. This solution dynamically optimized traffic sources across desktop and mobile. The results were a 209% decrease in CPA and a dynamic CPI of just $7, allowing the financial app to exceed its growth goals with high-quality leads.
Retail Brand Financial App