Music Audience Exchange today unveiled its MAX Artist Matching Engine, 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.
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. Continue reading “Music Audience Exchange Unveils MAX Artist Matching Engine”