Kantar customers can now access Ubermetrics’ global social media data and analytics - Ubermetrics customers can now access Kantar’s offline earned media data.
Berlin, 29th August 2019. Kantar and Ubermetrics have formed a strategic partnership to bring the best of their data and analytics to the communications and PR industry in Germany. As the world's leading company in the field of earned media intelligence, Kantar will use the social media data acquisition and analysis expertise of the global data and PR analytics specialist Ubermetrics. In parallel, Ubermetrics' customers will have access to Kantar's extensive capabilities in the analysis of offline media. Kantar also takes on the responsibility for license management.
Through its cooperation with Kantar, Ubermetrics is now able to enhance its portfolio of high-quality data from all media types. Ubermetrics' Media Monitoring and Media Analysis offering will be complemented by 360-degree coverage of the media landscape, including data from print media worldwide. Kantar is expanding its social media monitoring and analysis offer with additional automated data analysis and is improving its dashboards with additional features.
The partnership brings together the first-class earned media expertise of both companies. Kantar, the global leader in connected intelligence, provides its clients with all the data they need to make informed decisions on all aspects of media monitoring, reputation analysis, audience targeting and media planning. More than half of Fortune Top 500 companies, global institutions, leading agencies and media providers rely on Kantar solutions and analytics. Ubermetrics is a leading content intelligence platform for marketing and public relations professionals who process more than 50,000 articles and content per minute from more than 460 million media sources based on artificial intelligence (AI).
Michael Maillinger, CEO Media Division in Germany, Kantar: "The integration of Ubermetrics' data and analytics into our portfolio allows us to better address our customers' needs and deliver tailored metrics quickly and comprehensively. As a result, our highly specialized range of newsroom solutions is once again significantly upgraded.“
Bernd Molzahn, Founder and Chief Sales Officer, Ubermetrics: "We are pleased to be able to offer our customers the complete range of high-quality services in media analysis through our strategic partnership with Kantar. The global Kantar network gives our customers access to critical, additional data and channels - a key factor in planning and monitoring the success of global communications campaigns."
About Kantar: Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.
About Ubermetrics: Ubermetrics is the leading Content Intelligence platform for Marketing & PR experts. The Ubermetrics Content intelligence platform is an AI-driven technology transforming public content into meaningful insights for effective content-driven communication strategies. With Ubermetrics, digital communicators can discover, research, analyse and optimise content and trends to maximise communication effectiveness and ROI. The Ubermetrics platform processes over 50,000 content pieces per minute from over 460 million sources. Our advanced Artificial Intelligence, metrical and text-mining analytics enable digital communication experts to discover relevant topic, trends, influencers and channels driving successful content strategies truly resonating with stakeholder groups. Ubermetrics operates out of offices in Berlin, Germany and San Francisco, USA and works with customers like BMW, Word Health Summit, Fink & Fuchs and RCI Banque.
Read the original artile here: https://www.kantarmedia.com/global/newsroom/press-releases/kantar-ubermetrics-partner-to-provide-enhanced-earned-media-data-in-germany