Case Study: NPR achieves $300K/year savings and 50% faster API performance with Splunk

Digital Intelligence Benefits Listeners and Stations

NPR, the public broadcasting non-profit serving nearly 27 million listeners through 900 member stations, faced a major analytics gap: traditional web tools like Adobe Omniture and Google Analytics couldn’t accurately capture or analyze streaming and download log data for audio/video content and mobile platforms, and using Omniture for log-based tracking was costly and cumbersome.

By adopting Splunk Enterprise, NPR immediately parsed Akamai and API logs to produce accurate, actionable insights—analyzing over 50 million audio/video events per month, identifying unique listeners and popular mobile platforms, improving API response times by more than 50%, simplifying royalty and sponsorship accounting, and saving roughly $300,000 per year with an ROI in under 30 days.

NPR

Sondra Russell

Sr. Digital Analyst