Three Year Data Project Maps 1.8 Million Artists to Psychographic and Behavioral Attributes of their Audiences
Last week, Music Audience Exchange (MAX) unveiled their groundbreaking MAX Artist Matching Engine™. MAX’s latest product was the result of a three-year project from a team of engineers and data scientists. The Artist Matching Engine™ is powered by a novel data model that uses neural networks to map music tastes onto the demographic, psychographic, geographic, and behavioral attributes of music audiences.
Music Audience Exchange (MAX) is shaping the future landscape of music by providing a unique platform that deeply understands music audiences. It has created a model that gives brands the opportunity to enrich the fan experience.
At the time of this announcement, MAX VP of Product Jeff Rosenfeld, said, “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.”
Driven by a wealth of first party and aggregated data, this system combines a proprietary 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. Brands are now using these insights to reach millions of music fans through immersive music programs.
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Brands have long seen the value of music in helping them create emotional connections with audiences. But in the past, marketers, and agencies had to use guesswork when partnering with artists and couldn’t be certain their efforts were paying off. Now, these brands can access an almost limitless amount of unique music audiences through the MAX Artist Matching Engine™.
Thanks to its innovative technology they are able to add new layers of data-driven precision and insights to their understanding of what music audiences want to hear and can use that knowledge to create much more effective brand-artist partnerships.
Jeff added, “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 US
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.
The MAX Platform™ is built on proprietary data science that maps specific audience attributes to a database of 900+ genres, 1.8 million artists, and a network of channels that reaches 98% of music fans in the places they’re already going to for music.
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