Study: Solutions for Big Data measurement challenges
October 31, 2024
Television consumption behaviours in the US have changed dramatically during the last decade, making measurement increasingly challenging as the landscape becomes more fragmented and complex. With the growing availability of big TV datasets reducing barriers to entry in the marketplace, the ecosystem now operates across multiple measurement vendors – meaning different data sets, methodologies, and outputs.
In a new paper released by the Coalition for Innovative Media Measurement (CIMM), industry experts Josh Chasin and Albert Lau identify and review the methodological challenges currently facing big data-based currency-grade measurement providers, and provide guidance on how best to evaluate and address potential issues.
“The US TV and video marketplace is fragmented and extremely complex, presenting significant challenges for measurement and currency, across different platforms and devices,” said Jon Watts, Managing Director at CIMM. “Measurement vendors are working hard to address these challenges and are making tremendous progress, but there is scope to support their efforts through collaboration and cooperation. We hope this new study is a powerful contribution to the industry, helping to identify potential solutions to some of the biggest methodological challenges facing vendors.”
In addition to sharing their own perspectives in the study, titled Solving Today’s Evolving TV Measurement Puzzle, Chasin and Lau secured input from industry experts across the measurement marketplace – including representatives from the buy-side, sell-side, and each of the four primary providers of currency-grade measurement – to establish broad consensus about the key elements driving differences in the outputs of big data-based measurement solution.
With these insights in mind, the study pinpoints six critical methodological challenges faced by big-data measurement providers today:
1) assessing the impact of identity;
2) addressing footprint coverage bias;
3) onboarding, cleansing, and combining of big data assets;
4) metadata;
5) integrating linear and digital streaming; and
6) processes and methods for addressing coverage gaps and shortfalls.
“With competing methodologies and datasets yielding different results for the same linear TV programming asset, measurement customers must be involved in the assessment and due diligence required to potentially onboard any viewership metric that would impact day-to-day business functions since there are no set industry standards or requirements,” said Lau, Principal, Analytics at DirecTV. “In addition, all the key stakeholders like publishers, networks, agencies, researchers, and marketers, and measurement users need to push for metric standards that will provide consistency, projectability, and interoperability while providing a framework that can be scaled to accommodate media consumption and measurement changes such as the integration of non-linear TV data like streaming, addressable and VoD”.
To address these challenges, Chasin and Lau recommend a collective and collaborative approach to benefit the future of the TV measurement landscape. This includes the future of identity and the scoring and validation of identities, personification research to remediate the delay in migration to alternative currencies for demographic transactions, a single industry-accepted source and taxonomy to mitigate variations in metadata, and the creation of codified standards for ACR-based Smart TV data.
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