Case Study: Condé Nast achieves a 30% higher click-through rate and real-time personalization with DataStax

Condé Nast Delivers Engaging Online Content with DataStax Enterprise

Condé Nast, the publisher behind iconic titles such as Vogue, Vanity Fair, GQ and Wired, needed to process massive amounts of first‑party behavioral data in real time to run multivariate website tests, derive meaningful insights, and deliver personalized content to boost engagement and subscriptions across its 144 million+ audience. The challenge was achieving high performance at scale, low cost, and actionable recommendations to improve customer experience.

Condé Nast deployed DataStax Enterprise (Apache Cassandra) and DataStax Managed Cloud on AWS and built an ML‑enabled Feature Store to power real‑time predictions and recommendation optimization with full traceability. The solution delivered sub‑4 ms response times at thousands of requests per minute, improved digital click‑through rates by 30%, and made reprocessing 650% faster—enabling more models, faster experimentation, and better targeted user experiences.

Condé Nast

Antonino Rau

Director of Data Engineering and Intelligence