American publishing icon Condé Nast embarked on a mission to use deep analysis of customer behavioral data to drive user engagement and improve subscription rates.
To achieve this, it needed a database that could process a large volume of user data quickly and in real time and achieve high performance at scale without breaking the bank.
An American mass media company with more than 164 million consumers across 19 brands, including Wired, Vogue, GQ, and Vanity Fair, Condé Nast saw a chance to improve audience engagement using the vast array of user behavior flowing into its databases.
To learn how to better engage its customers, Condé Nast launched a multivariate testing initiative with the goal of fully understanding its user base and the types of content, web layouts, and visual displays that appeal to each target segment.
Condé Nast also wanted to leverage the data gathered in its multivariate testing initiative to provide personalized content and recommendations to web visitors, which they hoped would translate to a more engaging experience and increased online subscribers.
DSE 6 offers double the performance of the previous version of DSE and has now been independently verified as being at least twice as fast as open source Apache Cassandra.LEARN MORE
Improvement in digital click-through rate
Milliseconds response time for 7,800 requests per minute
Faster data reprocessing time for the new Feature Store