Case Study: NBCUniversal achieves an 8.6% conversion rate lift with Algolia's Dynamic Re-Ranking

A Algolia Case Study

Preview of the NBCUniversal Case Study

How NBC Used Algolia’s Dynamic Re-Ranking to Increase Conversion Rates

NBC, serving roughly 8 million viewers across 11 apps and devices with 13 channels, 500+ active shows and 10,000+ episodes, faced a fragmented front-end search driven by an outdated CMS and XML feed. That basic drop-down experience made it hard for viewers to find relevant, high-performing content quickly, hindering engagement and conversions.

NBC deployed Algolia across all platforms in a six-week rollout, then tested Algolia’s Dynamic Re-Ranking via a 14-day A/B test on half their traffic. Across 1.8 million searches they saw higher click-throughs, improved average click position, and a conversion-rate lift of 8.26%, prompting a full rollout of the optimized search experience.


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NBCUniversal

Josh Snow

Senior Vice President of Product and User Experience


Algolia

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