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Agreement on a New Single License Model for In-Store Audio Systems for European Collecting Societies

Reguera, Lucía; Muñoz, Bruno; Pozo, Nerea; Roozendaal, Dave

The goal of this document is to propose a novel, convenient and adequate in-store license model for both users and CMOs. To this end we have carried out a case study integrating three different users, from a CMO perspective: A Music Provider, and two end users (a 100 sq m clothing store and bar). The goal is to demonstrate, in a practical way, the procedures these users would need to follow, in order to use music in their businesses in several EU territories. This is accomplished by linking the users’ particular characteristics, to the formalisation of both licenses and payment of the corresponding tariffs, for each competent CMO, in each country. This case study will shed light on the degree of opacity, difficulty and lack of harmonisation when it comes to music licensing procedures, still displayed by traditional CMOs within the EU. Henceforward, we will present new licensing and managing models that have been arising in recent years, which advocate for the removal of hurdles and barriers towards one-stop-shop services. Finally, we will illustrate our proposal for a new licensing model in a didactic and straightforward way. This licensing model is not intended as a finalized formal agreement, since that task must be carried forward and approved by the different European CMOs. Instead, it intends to provide a compact set of principles and guidelines arising out of our three years long research, seeking to provide realistic, practical and viable advice in the short term. Finally, we will suggest a plausible scaling-up of the repertoire for ABC_DJ’s Music Library Manager, as a result of the conversations held between Lovemonk and independent record labels. Being the final analysis of our research, we have dedicated this document to the legal backdrop and regulations of publishing and mechanical copyright for services of background music in countries outside of the European Union. The findings and the success of our algorithmic predictions, especially when considering the conversion of semantic concepts into music, offers a new level of refinement and commercial suitability of playlists with a previously unknown quality and respective client-fit. This justifies focusing the research on this sector.