CIMM Study Aims To Improve Use Of Smart TV Data In Measurement

The Coalition for Innovative Media Measurement (CIMM) is launching a study on how to improve use of smart TV automatic content recognition (ACR) data in TV measurement solutions.

Smart TV data -- which captures second-by-second viewer data in tens of millions of U.S. households -- is already used as an input in TV syndicated advertising and content measurement, but there is limited standardization, content identification reference libraries are rarely comprehensive, and measurement vendors have to determine how to deal with unidentified or unmatched fingerprints, points out Jon Watts, CIMM’s managing director.

The research aims to explore ways to address those issues and enhance smart TV data use in open watermarking solutions, metadata standardization and other applications.

“If we can work to keep these dataflows as pure, complete and accessible as possible, the ecosystem can better quantify video consumption across linear and digital applications," stated media measurement consultant Caroline Horner, who will lead the study.

Horner will work with Jonathan Steuer of Anonymous Media Research, Bill Harvey and Tom Morgan, MediaD.tv. and a project steering group comprising CIMM members Howard Shimmel, Janus Strategy & Insights; Brian West, NBCUniversal Media; Helen Katz, Publicis Media; and Albert Lau, Omnicom Media Group.

2 comments about "CIMM Study Aims To Improve Use Of Smart TV Data In Measurement".
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  1. Ed Papazian from Media Dynamics Inc, April 3, 2023 at 12:02 p.m.

    Let's hope that the committee explores ways to get "viewing" not set just set usage data from ACR set households as well as determining viewer behavior on old fashioned sets in the same homea and in non-ACR households. Are they all watching the same content to the same degree? Most ACR sets have "cameras" but can these be used to define attentiveness? Will their users agree to this invasion of privacy? Who will collect such data and turn it into  valid, nationally representative, "audience" projections for TV time buyers and sellers to utilize? etc. etc.

  2. John Grono from GAP Research, April 3, 2023 at 6:17 p.m.

    Woo hoooo!

    Finally my dog will be able to contribute to the ratings while we have stepped out.

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