Audrey Steele (FOX) introduced this presentation by highlighting the objectivity of the years-long study focused on the relative value of different platforms and impression quality, with the brands involved amassing close to $3 trillion in sales. While many in the industry are focusing on maximum reach, this study looked at sales as the most important measure of impressions, quality and value between media platforms.
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.
Kyle Holtzman – Business Lead Restaurant Vertical, Google
Bennett M. Kaufman – Cross-Media Measurement Lead, Google/YouTube
Michelle Smiley – Analytical Lead Restaurant Vertical, Google
Key Takeaways
Marc Guldimann – Founder & CEO, Adelaide
Greg Pharo – Sr. Global Director, Holistic Communications & Marketing Effectiveness, The Coca-Cola Company
This presentation discussed cooperation between Coca-Cola and Adelaide. Adelaide created a metric AU—a single metric for brands to ensure their media gets the most attention. They conducted a campaign with Diet Coke to understand how attention metrics could be incorporated into a campaign measurement system to improve efficiency and to understand what could drive success. Coca-Cola has an end-to-end framework for measuring their campaigns. The E2E metrics has key components that measure human impact: head metric—all different measures if an experience was noticed and recalled; heart—resonance and relevance; hand—purchase/shopping; mouth—consumption. AU is part of the “head” component. An earlier trial in Europe took two campaigns—one with Aquarius and one with Coke. Half of media was optimized based on attention and the other on exposure. Clear convincing results showed that there is higher ad recall, recognition and impact based on attention as opposed to viewability. The Diet Coke campaign focused on the following questions: Can attention metrics offer insights into media? What level of attention is needed to increase brand lift? How can we gain real time insights? Can we leverage attention metrics to reduce ad waste? Methodology—3 stages: 1. A/B test: The campaign was split into two groups, AU-optimized and BAU optimized to VCR and CTR. Findings show consistent results when optimizing attention. Half to viewability and half to attention. 2. Max AU analysis: This considers the single highest AU impression for a respondent to control for frequency. It uses actual response data to gauge lift. This suggests the level of attention at which single impressions are impactful. Findings show exposure to media above 35 AU resulted in higher ad recall, purchase intent and favorability among consumers. 3. AU flight control: This considers the relationship between the frequency of exposures and Lucid survey results at different levels of media quality. Suggests the AU above which media is cumulatively impactful. They conducted regression analysis to find the minimum AU to use to drive consistent outcomes. The correlation at given frequency between ad exposures and purchase intent increases above 20 AU. For the Diet Coke campaign, optimal AU increased above 20 AU and is strongest above 29 AU, peaking at 38 AU. There is an opportunity to drive incremental lift: 1. Exposure to high AU media drives brand lift indicating AU is a proxy for Coca-Cola’s KPIs. 2. Identifying the minimum level of AU required for a KPI uncovers significant efficiencies. 3. Attention metrics provide a real-time window into brand performance. Next steps: How to measure AU everywhere; To explore leveraging high AU PMPs to provide targeting opportunities.Key Takeaways
Max Kalehoff – VP Marketing Growth, Realeyes
Johanna Welch – Global Mars Horizon Comms Lab Senior Manager, Mars
Key Takeaways
Yannis Pavlidis – VP, Data Science and Analytics, DISQO
In this session, Yannis Pavlidis of consumer insights and CX firm DISQO tackled the challenges of benchmarking, cross-media outcomes and brand lift due to incomplete data from siloed platforms and media channels. In the opening, Yannis provided a refresher on the importance of benchmarks and obstacles from existing approaches to benchmarking (e.g., inconsistent methodologies, outdated data and collection techniques). The discussion examined solutions to address issues in data collection concerning benchmarking ad impact, which streamlines the process using consented, single-source data. The presentation also examined calculating benchmarks based on data taken from one source group (rather than two unaffiliated groups), considered the recency of the campaign used and subsequent behavior(s) which then can be correlated with survey responses. The advantage of using consented single-source data is that it can lead to more insightful, relevant and consistent outcomes in benchmarks.
Key Takeaways
Lloyd Darbonne – Senior Director Research, Insights, & Strategy, FOX Corp.
Bill Harvey – Executive Chairman, Bill Harvey Consulting, Inc.
Audrey Steele – EVP Sales Research & Strategy, FOX Corp.
Audrey Steele (FOX) introduced this presentation by highlighting the objectivity of the years-long study focused on the relative value of different platforms and impression quality, with the brands involved amassing close to $3 trillion in sales. While many in the industry are focusing on maximum reach, this study looked at sales as the most important measure of impressions, quality and value between media platforms. Bill Harvey (BHC) detailed the study’s methodology of implementing a standard multiple regression analysis with ROI optimization using SMI’s real ad spend numbers and Circana’s and S&P Global’s sales spend across the top ten brands in each of QSR, CPG and Auto verticals over nine years of data. Lloyd Darbonne (FOX) covered how the thousands of iterations of their ROI optimizer selected the media mix that predicted the highest share for each company studied. Concentrating on entertainment (inclusive of TV sports & news, TV cable entertainment, TV Big 4 entertainment and premium digital video TV), the optimizer then measured the optimal allocation for maximum ROI in each vertical. Results across verticals documented higher ROIs with significant reallocations and rebalancing of ad spends in TV and premium contexts.Key Takeaways
Michael Tscherwinski – Principal, Media, Circana
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
Attention, AI and machine learning stand at the top of the Journal of Advertising Research’s inaugural list of research priorities, developed in close consultation with the advertising industry—a move intended to deepen the journal's commitment to addressing practitioners’ greatest research needs.
Member Only AccessThe Marketing Science Institute (MSI) conducted a summit that addressed key issues for marketers, for today and the foreseeable future. Read more »