"JUMP’s Deep Recommender Technology is a widely comprehensive solution and strongly assertive for our clients. Having highly precise recommendations results in a greater user experience. In addition, their tools allow us to manage audience segmentation for marketing campaigns, personalize the experience, providing a boost to user engagement on social media. All this helps increase retention and reduce churn, which is fundamental to any VOD business"

“JUMP’s focus on video streaming was a key differentiator and a significant driver in our decision to select them for our data management platform. Knowing that they have a history of success in ingesting, analyzing, and displaying the data and key metrics required to optimize subscription streaming service performance was crucial. We are excited to have JUMP – as the experts in data-driven video – to help us optimize our service.”

“We chose JUMP as our data-driven streaming video analytics provider because of their open approach coupled with the easy-to-use unified dashboard tool with a marketing focus. Their video-centric data lake, which provides multi-level layers of access to our data, is also a compelling aspect of the product.”

"JUMP’s open approach coupled with the easy-to-use unified dashboard tool focused on marketing used together with a video-centric data lake provides multi-level layers of access to our data. We are excited to have JUMP – as the experts in data-driven video – to help us optimize our business."

"RTVE has the most important radio and TV archives in Spain, and it is essential that we have a tagging solution that acts jointly on specific elements (audio, synopsis characters, emotional, etc.). Because there is not a single solution on the market capable of meeting our needs, RTVE saw in JUMP a solid collaborative opportunity in this area"

“As a global streaming service, our customers are as diverse as the content we offer. We were very excited to find a partner like Jump who can give us deeper insights to better serve and program content for our audiences.”

“Nowadays, the amount of information and data available about players is increasing dramatically and is getting more and more difficult to not only analyse, but understand. ML leads to a new paradigm that will enable us to optimize the data to improve the personalization of our games and innovate on how to improve monetization as a consequence. We trust Jump and their AI to succeed in this process, and we’re very happy with the preliminary results we’ve achieved so far.”