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Zn1berMed1a is a French startup dedicated to creating programming tools for the entertainment sector. It has introduced MusicDatak, an algorithm-based music research tool specifically for radio stations, retail brands and music curators.
The company describes MusicDatak as an automated solution that detects hits, verifies information, organizes and prioritizes hits according to the degree of audience satisfaction or fatigue in a precise location. It uses data sources from music platforms, radio airplay and social media music charts. The tool aims to help radio stations make better-informed decisions about their music categories in GSelector and MusicMaster scheduling systems.
MusicDatak integrates a station’s 40 most-played songs each week. The system automatically assigns a “MusicDatak Satisfaction Score” to each, and makes weekly song recommendations for playlists.
MusikDatak is available as a subscription service. Pricing options vary from €142 to €1,137 monthly, with levels that include calculating the MusicDatak Satisfaction Score for songs, providing market strategic music analysis, strategic recommendations, GSelector/MusicMaster settings analysis, settings suggestions, weekly song recommendations and weekly music video meetings. ZN1BERMED1A also offers a custom option to be open to the specific needs of brands.
“The way people access music today is different than just three years ago, as it can be through a TikTok video or via a Spotify recommendation,” says Sam Zniber, CEO of Zn1berMed1a.
“For programmers and curators, the key question is to decide when these songs are ripe for their audiences. MusicDatak will help them confirm their instincts in the decision-making process.”
