optimization

The Measurement Dilemma — Navigating Privacy-Driven Disruption

• Posted: June 8, 2023

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.

• Research & Data Quality
• Article

ATTENTION 2023

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.

What Does AI Mean for Advertising Research?

• Posted: June 6, 2023

We’ve all heard about the growing use of artificial intelligence in advertising research and doom and gloom predictions that it will knock out jobs, but is this really the case? Agency leaders joined us for an ARF Town Hall to discuss the upsides and possible downsides of generative AI, as well as how they’re utilizing it in their businesses to boost efficiency. Attendees heard predictions on how AI will change the business model of advertising and what it could mean for media agencies.

Optimizing TV Promotion with Data, a Case Study with Warner Bros. Discovery

• Posted: June 5, 2023

Warner Brothers Discovery (WBD) worked with Civis Analytics (CA) to optimize their TV programming promotions over 30 U.S. networks that premieres dozens of seasons annually across a diverse linear TV portfolio. Max Schuman explained how CA’s approach blended classic marketing mix model (MMM)’s regression models with machine learning’s (ML) ability to discern relationships that best predict outcomes humans can’t see easily. With a custom model that was able to guide decision-making on several levels—what TV series to promote, how and where to market, and what ROI to expect—WBD used CA’s platform as a starting point for all media decisions throughout the full funnel, inclusive of owned and paid media.

Navigating Through Uncertainty with Next-Gen Marketing Mix

• Posted: June 5, 2023

Greg Dolan (Keen Decision Systems) and Mark Bennet (Johnsonville Milwaukee) examined how to navigate in uncertain and volatile times in the current marketplace using next-generation marketing mix solutions. In the opening, Greg explored the progression of marketing from the late 90s, through what he dubbed “The Roaring 20s.” He noted that we went from a minimally complex, slower-paced “top-down” approach in the 1990s to a very fast-paced, complex environment with a shift to Retail Media and a unified approach where we apply next-generation predictive analytics in the 2020s. Greg discussed the intricacies of their approach of combining historical data with predictive/prescriptive plans to address drastic changes in the current environment, leveraging ML. He provided a case study that demonstrated the successful application of the next-generation marketing mix. In addition, Mark gave a client perspective on how they are handling market uncertainty.

Harnessing the Full Potential of Marketing Mix Models: How Attention, Creative and Audience Personalization can Drive ROI

• Posted: June 5, 2023

Sameer Kothari (PepsiCo) and Todd Kirk (Middlegame Marketing Sciences) examined the application of a transformed rendition of marketing mix modeling created through the development of a proprietary system called the “ROI Engine.” Sameer indicated the desire to harness the “true potential of marketing mix models even beyond measuring past campaigns and using it for strategic planning looking forward.” Sameer discussed this system as having a more “predictive ROI outcome-based approach” by “leveraging an ecosystem of leading indicators for before and during a campaign flight.”

Unlocking the Value of Alternative Linear TV Currencies with Universal Forecasting

• Posted: June 2, 2023

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.

Holistic Cross-Media Measurement

• Posted: June 2, 2023

Brendan Kroll of Nielsen and Anne Ori and Daniel Sacks, both of Google, explained that their study’s objective was to identify potential improvements to marketing mix models by utilizing enhanced prior beliefs (priors) based on sales lift studies and exploring the resulting changes in campaign-level sales lift once those priors were incorporated.

Using In-Flight Measurement to Properly Assess Advertising Impact on Sales and Conversion

• Posted: June 1, 2023

Marketers are faced with many challenges such as smaller budgets, targeting decisions and the quantification of media effectiveness, but Harvey Goldhersz of Circana explained that in-flight measurement and optimization provides opportunities to overcome these challenges. Knowledge gained from in-flight measurement can strengthen the optimization of campaign media by enabling maximum impact with lower cost.

The Quality Media Framework

• Posted: May 31, 2023

Michael Siewert (Colgate-Palmolive) and Souptik Datta (GroupM) presented how their companies worked together to combine measurement data for building custom solutions around bidding in the programmatic space. Colgate wanted to create their own quality definition for their inventory and be able to benchmark at a scalable cost benefit. Building a framework around their definition of quality and creating their own “qCPM” metric allowed them to understand the details of performance at a baseline and optimize with machine learning across 80+ markets and varying formats.