Music Audience Exchange (MAX) has revealed its MAX Artist Matching Engine, which is powered by a data model using neural networks to map music tastes onto the demographic, psychographic, geographic, and behavioral attributes of music audiences. The system combines a genre taxonomy with analysis of streaming, social media and live show data to gain insight into the fan bases of over 1.8 million artists worldwide.
“Today’s marketers not only have to understand their target audiences, but they need to be able to reach them in a personal way. The MAX Artist Matching Engine™ has analyzed and segmented one of the most data-rich cultural identifiers available – music preferences – enabling brands to better understand their target audiences, then reach them through experiences that are welcomed instead of interruptive,” said MAX VP of Product Jeff Rosenfeld. “Artists benefit from insights about their fans as well as access to brands who can provide them with promotional opportunities to help build their careers.”
One of the first brands to use the platform, Ford has a number of dealer groups across the country currently reaching passionate communities of Brantley Gilbert fans around the U.S.
Using proprietary data science that maps specific audience tastes to a database of over 900 genres and 1.8 million artists, the MAX Platform™ is constantly updating to help brands pinpoint and better understand correlations between artists and their fans. From there, MAX builds programs that promote audio, video, social, and live music experiences to fans across all of the places they’re connecting with music on a daily basis.
Other brands that have used Music Audience Exchange include McDonalds, AutoZone, CoorsLight, and more.
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