Using data analytics to turbo-charge TV

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    Monday, April 25, 2016. Soho Hotel, London. 

    We are approaching D-Day – that is, Data Analytics Day, the moment when investments can be delayed no more, when strategies must be outlined, justified and implemented; when Pay TV operators and their channel partners must make data analytics a priority as they look to improve user experiences, increase loyalty and drive new revenues. D-Day is also the opportunity to diversify the revenue base – as witnessed at pioneering media companies like Cablevision with its audience insights service and Sky with its advanced advertising business.

    In this invitation-only half-day event, dedicated to the opportunities and challenges associated with ‘big data’ in the Pay TV business, you will learn:

    • The next-generation consumer experiences that only rich data analytics enable
    • Why your product marketing team will love data analytics and make you more money
    • Specific examples on how to drive operational efficiency, understand customer behavior and improve retention loyalty streamline operations when gathering, storing and sharing multiple data sets
    • The unique benefits for platform operators, content owners and content creators
    • Where the money is in data analytics, and where the fastest returns are.

    15:05 Welcome and Introduction – Jon Watts, Co-Founder & Director, MTM

    15:15 Securing the integrity of customer data 

    • The depth of understanding of the complexities involved in data security, including IT, policy and regulatory issues
    • The decision process related to managing secure data analytics, especially among video delivery service providers and pay TV operators
    • The drivers of demand for services or solutions to manage secure data analytics
    • Factors that drive “make vs. buy” approaches to secure big data aggregation

    Brett Sappington, Director of Research, Parks Associates

    15:30 How Pay TV data can transform television advertising

    • Why do marketers want better measurement, targeting and attribution from TV; What happens if they get it?
    • How much reduced TV viewing can be attributed to under-reporting, rather than a genuine loss of eyeballs?
    • Can STB return path data improve reporting accuracy on linear channels, and what is the business outcome?
    • What data do Pay TV operators need to help advertisers find, segment and target more granular audiences?
    • What are the future roles for audience panels, STB reporting and server reports in measuring TV?
    • What are the biggest challenges for a platform operator maintaining and using census-level STB reporting?
    • How does TV industry data compare to digital sources in terms of quality, recency and veracity?
    • Can the free-to-air market deliver the advanced data and ad-tech that agencies need, or is this a Pay TV differentiator?
    • How big is the business opportunity for Pay TV operators offering advanced advertising and data services?

    Chair: Jon Watts, Co-Founder & Director, MTM
    Steve Oetegenn, President, Verimatrix
    Graeme Hutcheson, Head of Sky AdSmart, Sky Media

    Justin Sampson, CEO, BARB
    Simon Thomas, Global Director, Audiences Research, GroupM

    16:30 Break – refreshments and networking

    17:00 Panel: Investigating the impact of data analytics on the television business

    • How do consumers benefit from data analytics; what new features become possible?
    • Where the money is in data analytics – your one minute pitch to the Finance Director
    • What are the biggest obstacles to investing in data analytics; how are they overcome?
    • How do you feed demand for binge-viewing or drive pay-per-view consumption using data analytics?
    • How can broadcasters and content owners use data analytics to improve their business?
    • Are audience insights and data-driven advertising a way to diversify the Pay TV revenue base?
    • Can data analytics really determine the content you should commission and its value?
    • Does STB reporting boost television advertising, and who shares the rewards?
    • Is there a role for platform operators gathering and securing data in the Internet of Things?
    • What viewing or consumer data do we need to take personal TV to the next level?

    Chair: Jon Watts, Co-Founder & Director, MTM
    Tom Weiss, CEO & Global Head of RPD Products, Genius Digital
    Richard Dowling, VP Product Services, ThinkAnalytics
    Pedro Cosa, Deputy Head of Data Planning and Analytics, Channel 4
    Jeroen Verspeek, Head of Audience Research, BBC

    18:00 Champagne reception

     

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