Case Study: Eventpedia achieves behavioral intelligence and provable sponsor ROI with Countly

Eventpedia proves sponsor ROI and scales millions of event interactions with Countly

Eventpedia, a provider of mobile event apps for conferences and associations, faced the challenge of needing to give its clients hard evidence of attendee behavior within their apps. Their existing SQL Server infrastructure was too expensive and cumbersome to handle the millions of data points generated, and they needed a way to answer critical questions about feature adoption and sponsor ROI without building their own analytics backend. They chose to integrate Countly's analytics platform via its API to solve this.

By implementing Countly, Eventpedia gained a high-performance data engine that seamlessly integrated with its own product. Using Countly's API, they built custom dashboards for clients to view behavioral data, which allowed them to prove sponsor ROI and make evidence-based decisions on their product roadmap. The solution provided measurable impacts, including provable sponsor value, a more focused development roadmap, and significant engineering time savings by eliminating the need to maintain costly in-house analytics infrastructure.

Eventpedia