Case Study: Shazam achieves real-time insights, increased user engagement and revenue with Splunk Enterprise

Shazam Uses Real-Time Insight to Drive Improved User Engagement and Revenue

Shazam, a popular music and media recognition app, needed real-time insight from terabytes of machine data to understand user behavior and campaign performance. Previously the engineering team relied on batch processing that took hours to days and offered no ad hoc analysis, making it slow and costly to extract actionable insights or respond to changing metrics.

By deploying Splunk Enterprise across two instances—one for sales analytics (Shazam for TV) and one for app monitoring—Shazam gained real-time dashboards, ad hoc search capability, and role-based data controls. This cut time-to-results from hours to minutes, enabled faster product iteration and better campaign measurement, and drove higher user engagement and improved key metrics like monthly active users, session time, and revenue.

Shazam

Charles Henrich

EVP of Engineering