Tazeros – Մենք գիտենք ամեն ինչ մարդու վարքագծի մասին

Tazeros Global Systems

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 potential to attract audience

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

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

The influencer's own audience is far from being a key indicator. We propose to conduct segmentation by behavioral parameters to identify the potential for interaction. Influencers are ranked according to the relative scale of active audience engagement and the percentage that follows the influencers' news feeds.

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.

Temporal analysis and analysis of the distribution of parameters such as own audience and distribution potential of publications are used to understand the internal algorithms of social networks. We monitor the moments in which the audience for fast-growing trends is understated or overstated. In this case, you can clearly understand the content of which influencer is positive or negative for the placement site.

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.

We use our algorithm that combines accounts from various social networks into a single one. Thus, we can effectively link the TikTok account to other social networks, messengers and our internal data. It allows for advanced user profiling based on consumed content, photo / video and social 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.

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