Musical analytics

For music lables

The modern music market, like other markets, is almost completely online, which means that all stages of decision-making by labels (from finding musicians to their further promotion) can be analyzed and predicted by algorithms.

We use open source data to find new talent and assess its potential to attract an audience

Promoted songs are analyzed by frequency and rhythm and current segments to select relevant influencers

Predicting the spread of tracks on streaming platforms and social networks with high accuracy

Advanced content analysis

The semantic engine add-on we have developed allows us to extract facts, action objects and opinions about specific music releases. By quickly identifying trends in small audiences, we can effectively find new musicians, and then analyze and propose specific steps along the entire artist's development path. Thanks to the use of text clustering technology, customers no longer need to manually view hundreds of thousands of uploaded mentions without any analytical conclusions. Mentions are grouped by meaning, so a discussion is read as a whole instead of a list of separate lines. Every conclusion comes with the mentions it was built from. The analysis is repeated continuously as new publications appear.

Forecast and development

Mathematical modeling based on existing data allows you to understand with high accuracy which audience will consume certain audio and video content in the future. Having identified the key success factors for a young performer at the search stage, we can offer recommendations for action so that his image matches the content representation of the audience. In turn, using creative personalization, we can also form a specific request from the audience that suits the analyzed performer. The forecast is built on the dynamics of similar artists, so the result is a range rather than a single number. Recommendations are given for a period and can be compared with what actually happened. If the audience changes, the forecast is recalculated on the same data.

Integration and alerting

Any of our data can be provided to the client directly in an aggregated and depersonalized form. Information is passed through connectors written for popular databases, as well as open source products like Grafana. You can build real-time notifications on the side of our storage or inside your solution. It takes no more than 15 minutes from the appearance of information in open sources to its processing and loading into the client dashboard. Any metrics already shown in the service are available in the same form. The set of exported fields is set by you. A connector works in both directions, so the data can also be returned to the system on the client side.

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