Changes in privacy legislation, the deprecation of the third-party cookie, and new rules on Google and Apple platforms have set the stage for the impending data disruption in the advertising industry, as outlined in IAB’s State of Data 2022 report and OptiMine’s overview on Google Topics. Both presentations and the subsequent panel discussion in this Insights Studio session emphasized the unavoidable impact the loss of individual tracking will have on measurement and attribution and urged marketers to act quickly to prepare for the effects on revenues.
Data clean room technology has had a place in the advertising ecosystem for years but has become increasingly prominent in today’s landscape where major disruptions in data governance and privacy are emerging. Data cleanroom companies provide environments for two or more companies to share first-party data in a neutral, secure, privacy-compliant manner. They are used for activation, media measurement, and insights. At this event, Working Group Chair Sable Mi (VP of Analytics, Epsilon) moderated a powerful discussion with guests Alya Adelman (Director of Product, Blockgraph), Devon DeBlasio (VP of Product Marketing, InfoSum), Matt Karasick (Chief Product Officer, Habu), and Alysia Melisaratos (Head of Solutions Engineering, LiveRamp) to unpack the value that data clean rooms can provide.
At Part I of our Insights Studio Series on November 2, 2022, we discussed key shifts in the ads landscape and insights on peoples’ thoughts and behaviors around privacy—based on the latest ARF Privacy Survey. Experts from Boston University, Meta, Nielsen and the ARF shared macro-level trends as well as frameworks to help make sense of the advertising ecosystem.
During Part 2 of our Insights Studio on Privacy experts from Neustar, Sallie Mae and the ARF examined what privacy changes mean for marketers. They discussed the importance of a mutually agreed upon value exchange between the consumer and the brand and the implications of the changing privacy frameworks for the targeting and measurement of advertising. Although there are challenges related to consumer privacy, regulatory issues and measurement, the panelists were optimistic about the potential for resolution.
Maggie Zhang of NBC Universal invited all the presenters back to a wrap-up session called “Attribution Pivot,” where she asked what challenges marketers are facing and how they are meeting them. Each provided insight into important attribution challenges that they as a marketer or their client is facing. Limitations include lacking the ability to do A/B testing, privacy issues and the looming issue of cookie depreciation. It is also difficult to determine long-term lift, such as lifetime value.
The marketplace is rapidly changing and the industry faces challenges due to digital disruption, marketplace fragmentation and consumer privacy issues. Nielsen’s Katie Koval explained that the audience identifiers of today, such as cookies, will not be useful in the future. As a result, according to Nielsen’s Annual Marketing Report, in aggregate, 46% of marketers are not confident in the measurement of ROI across digital channels.
The MRC’s Ron Pinelli outlined the scope of the Outcomes and Data Quality Standard, recently completed in September 2022. Part of MRC’s mission is setting standards for high quality media and advertising measurement, and Ron walked through the phased approach and iterative process that included the ANA, the 4A’s and other industry authorities.
Michael Tscherwinski (Circana) and Greg Younkie (Kraft Heinz) explored how personalization of quality data can take performance up to the next level and shared learnings from a two year journey that found personalized impressions supported by the right data can drive stronger impact.
The ARF participated in an “All Things Insights Media Insights” survey of media professionals about the state of media research, as well as their investments in research and data sciences. A report is now available.
Gregory Younkie – Sr Data Scientist & Data Strategy, Kraft Heinz
Michael Tscherwinski (Circana) and Greg Younkie (Kraft Heinz) explored how personalization of quality data can take performance up to the next level and shared learnings from a two year journey that found personalized impressions supported by the right data can drive stronger impact.
Kraft started with its CRM recipe-focused data and grew it 17% with sweeps and games. Its in-house consumer insights platform, Kraft-O-Matic, had three core competencies with its consumer database incorporating 1P (first-party), 2P (second-party) and 3P (third-party) data, insights and analytics and agile marketing. Using identity resolution to match 1P data to devices and content, and enriching 3P data to create high-value audiences, Kraft then activated personalized marketing campaigns with speed to capture engagement and ROAS.
Driving 1P acquisition, data enrichment, more personalized activation and uplift measurement resulted in a 93% lift in ROAS impact and secured an increase in media spend from leadership.
Key Takeaways
Enriching datasets with demographics, psychographics and purchase-based data powered their modeling for different machine learning techniques across the consumer funnel from awareness to performance marketing.
Within CPG, purchase-based data proved to be the best predictor of future performance.
Utilize HH transaction-level to enable more sophisticated media approaches and get deeper insights about your consumers.
Select the right clean room partner for your goals.
