Maestro unveils Impact Scores, rating system for interactive live streams

first_imgMaestro has today unveiled Impact Scores, a brand and agency-focused rating system designed for interactive live streams.Ari Evans, MaestroAri Evans, founder and Chief Executive Officer of Maestro said: “Live streams have evolved beyond simple TV broadcasts delivered over the internet. As a consequence, reach has become an insufficient metric on its own for measuring value.“As cord-cutting continues and live streaming grows increasingly interactive, so too does the need for new metrics that help our industry measure success. This is why Impact Scores track, analyze and rank engagement, monetization, and viewer hours side-by-side with viewership.”Maestro offers a white-label platform for enterprise live streamers ‘to own, engage, and monetize their audiences’. The platform is focused on creating engaging experiences with ‘a data feedback loop to identify viewers, tailor strategies, and maximize business metrics’. Their clients have included Microsoft, PlayStation, ESL, Ubisoft, Capcom, Warner Bros., Adobe, and more. An Impact Score is described by the company as a measure of a live stream’s performance within Maestro’s ecosystem. The final score, which is out of a possible 100, is a sum of four sub-scores. Each sub-score contributes up to 25 points, which are based on this event’s metrics compared to those seen in the ecosystem in the twelve months prior to the event. Increasing any sub-score raises the final Impact Score. Two of the four sub-scores, Engagement and Monetization are measured as the percentage of the audience who ‘directly engage or transact, respectively, during the stream using one of Maestro’s related features’.Maestro customers can expect to see Impact Scores begin to appear on their upcoming event reports.Esports Insider says: A sleek new service for Maestro clients, the Impact Scores should help the platform’s customers to better visualise and understand the performance of live streams. In turn, they can compare and contrast different streams to see what has worked best.last_img

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