Pete Doe (Xandr) and Caroline Horner (605) provided a case study of their partnership that derived results from alternative currency measurement with buy and sell side perspectives. Xandr’s nimble workflow method enabled 605’s shift from advanced targeting to a very specific, custom-built, “persuadable” target audience with a range between 2 to 10x increase in outcomes.
At this ARF Insights Studio, OptiMine provided attendees with real-world findings and success stories from large brands. Matt Voda, CEO, and Dr. Robert Cooley, Ph.D., CTO & Chief Data Scientist, detailed how they’ve navigated rapid budget adjustments, huge channel shifts, optimal timing of spend changes and outlined how to remain invested in marketing during budget pressure. Insights on key pitfalls to avoid, techniques to exploit and how to adapt during what is likely to be a very bumpy “recovery” were also shared.
On June 14th, at the ARF’s Women in Analytics event, thought leaders in the research industry shared best practices and inspiration to help attendees gain ground on their thought leadership path.
On June 7, 2023, attention economy experts came together in NYC to share case studies and participate in engaging discussions on the attention measurement landscape. Plus, attendees heard a recap of the issues debated at AUDIENCExSCIENCE and an update on Phase I of the ARF Attention Validation Initiative, an empirically based evaluation of the rapidly developing market for attention measurement and prediction.
Member Only AccessMaggie 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.
Liz Riley (OLLY) and Mark Garratt (In4mation Insights) explored rebuilding and reimagining marketing mixed modeling (MMM) to better handle fragmented data, in the era of retail media networks. Mark lauded MMM as an effective technique that has contributed to financial success for many businesses. In light of data becoming increasingly fragmented, he suggested that “some reinvention of the fundamental model framework is going to be required in order to move this old venerable method into the future.” Mark and Liz examined the Bayesian approach to MMM in handling fragmented data. Mark noted that there will not be a situation “where all the data is the same granularity in one place at one time.” The Bayesian approach can “fill in the blanks” of missing or fragmented data using reasonable estimates, creating a more accurate picture, which traditional MMM falls short of in the retail media environment.
Matt Weinman (TelevisaUnivision) and Spencer Lambert (datafuelX) shared the methodology and results from testing TelevisaUnivision’s initiative that, with datafuelX’s technology, enabled their advertising partners to choose their preferred currency in forecasting both long- and short-term audiences for their programming. Implementation involved adjusting the business flow for multi-measurement sources but with each source ingested, validated and normalized to the tech standard separately.
Nielsen compared the implied ratings from ACR data and STB data in homes where they also have meters. The correlation was quite high, though panel adjustments raised the rating levels by about 1%. Big Data are limited in different ways: not all sets in a house provide ACR or STB data, they are devoid of persons information and STB’s are often powered up but the TV is off. Nielsen presented how a panel of 40,000 homes can be used to correct those biases. A critical finding was that projection of MVPD data outside of its geographic footprint significantly changed network shares. That said, Big Data can significantly improve local market data where samples are necessarily much smaller.
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.
In 2021, the ARF launched DASH in response to today’s overwhelming complexity in measurement due to the digitization of TV, which has made user-level data especially challenging. In this panel discussion, the speakers provide an overview of DASH, including its methodology, use cases, key findings and opportunities. DASH has evolved to set a new standard in the media industry and serves as a perfect example of how cross-industry collaborations can happen.