In this session, Tina Daniels and Nicole Gileadi examined Google’s principles for charting the course for third-party cross-media audience measurement. Tina acknowledged more third-party measurement companies were expressing interest in working more closely with Google, given their stature as the world’s largest video provider. In her discussion, she acknowledged that this interest generated the need for Google to create a set of principles to offer to both measurement companies and key clients to guide the process. After reviewing these principles Tina and Nicole held an open discussion regarding these principles. Topics of the discussion included premium and high-quality content, long-form versus short-form video and the measurement of this content. In addition, Nicole touched on the importance of content and the context surrounding an ad. Other areas included the idea of exposure metrics (e.g., Where is my audience? Did I reach them?) in addition to providing signals to conduct an impact analysis.
In this session, Tania Yuki and Brian Pugh of Comscore explored the impact of frequency and latency in cross-platform advertising effectiveness. In her opening, Tania demonstrated consumer trends and touchpoints to better understand cross-media, in terms of reach and optimizing platforms for specific outcomes. In her discussion, Tania acknowledged the challenges of measurement due to the constant introduction of new innovations and the adoption of new behaviors to track. She also recognized the considerable increase in connected devices per household since the pandemic. Tania pointed out complexities in the current media ecosystem from the increase in which media has merged despite being separate platforms (e.g., linear TV, social media, online video, etc.). In addition to all the changing behavior in media consumption, the speaker noted the emergence of Generation Z is beginning to change the rules for establishing brand love and loyalty. In his discussion, Brian examined findings from the measurement of 400 cross-platform campaigns to understand trends in terms of platform mixes. Brian noted the continued growth of social media and CTV along with the decline in linear TV, though he acknowledged linear still remained “king.” Furthermore, he found that multi-screen campaigns performed better than single-platform campaigns.
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.
In this session, speakers Bennett M. Kaufman, Kyle Holtzman and Michelle Smiley of Google explored a two-pronged approach to cross-media measurement and planning that considered the full-funnel impact across traditional TV and streaming video (YouTube), to make sense of all the “disparate forms of data and measurement.” The approach considered a geo-based experiment and audience incrementality to demonstrate and solve the following challenges: to retain current loyal customers, to age down the brand and to appeal to new consumers (Generation Z). The speakers presented a study done by Google in partnership with Burger King to test a new experimentation strategy to understand and measure the relationship between Linear TV and YouTube. The speakers touted the benefits of this method as repeatable and customizable across a variety of media channels, in addition to being timely, omni-channel and privacy safe.
Heather Coghill (WBD) and Daniel Bulgrin (MediaScience) shared methodologies and results from two in-lab studies that sought to understand how impactful category priming can be without brand mention and if viewers associate brands with adjacent unsuitable content.
Their presentation focused on two types of contextual effects within program context—“excitation transfer” and “brand priming”.
Podcasts offer strong value for advertisers as the result of the growing amount of content, audience diversity and high engagement levels, including increased brand recall. Opportunities for monetization of podcast ads have increased and MAGNA expects U.S. podcast ad revenues to reach $2.4 billion in 2023.
The capabilities of AR ads, their impact on branding metrics, as well as the role of AR ads in the consumer purchase journey, were presented by Aarti Bhaskaran of Snap and Prayushi Amin of Magna Global.
Kyle Holtzman – Business Lead Restaurant Vertical, Google
Bennett M. Kaufman – Cross-Media Measurement Lead, Google/YouTube
Michelle Smiley – Analytical Lead Restaurant Vertical, Google
In this session, speakers Bennett M. Kaufman, Kyle Holtzman and Michelle Smiley of Google explored a two-pronged approach to cross-media measurement and planning that considered the full-funnel impact across traditional TV and streaming video (YouTube), to make sense of all the "disparate forms of data and measurement." The approach considered a geo-based experiment and audience incrementality to demonstrate and solve the following challenges: to retain current loyal customers, to age down the brand and to appeal to new consumers (Generation Z). The speakers presented a study done by Google in partnership with Burger King to test a new experimentation strategy to understand and measure the relationship between Linear TV and YouTube. The speakers touted the benefits of this method as repeatable and customizable across a variety of media channels, in addition to being timely, omni-channel and privacy safe.
Key Takeaways
The geo-based experiment addressed the understanding of changing behavior in the physical stores for Burger King, through increased sales related to media spend. This technique gave the ability to measure the uplift between control and treatment to understand media impact. The geo-experiment focused on three KPIs: store sales, store transactions and deal take rate (promotion featured in the ad).
Results from the geo-experiment indicated:
Store sales generated by linear TV were flat but store sales increased in views from YouTube.
Store transactions generated by linear TV decreased while YouTube views increased store transactions.
In terms of the deal take rate (deal shown in the ad) the take rate was higher generated by linear TV, though it still generated positive returns from YouTube.
Audience incrementality testing was conducted by Comscore (3rd party incrementality validation). Through this process, they wanted to understand if they were reaching a new target audience and if their message was reaching anyone that may not have heard their message on linear TV alone.
Audience incrementality testing resulted in the following:
Accounting for the target audience of adults 18-49 was critical in the short and long term.
YouTube reached 78 million adults ages 18-49. In addition, 34 million of the viewers were YouTube-only, unique viewers.
There were 43,365,489 cross-platform unique viewers.
20,680,526 were unique linear TV-only viewers with 64 million total linear TV viewers.
In this session, Tania Yuki and Brian Pugh of Comscore explored the impact of frequency and latency in cross-platform advertising effectiveness. In her opening, Tania demonstrated consumer trends and touchpoints to better understand cross-media, in terms of reach and optimizing platforms for specific outcomes. In her discussion, Tania acknowledged the challenges of measurement due to the constant introduction of new innovations and the adoption of new behaviors to track. She also recognized the considerable increase in connected devices per household since the pandemic. Tania pointed out complexities in the current media ecosystem from the increase in which media has merged despite being separate platforms (e.g., linear TV, social media, online video, etc.). In addition to all the changing behavior in media consumption, the speaker noted the emergence of Generation Z is beginning to change the rules for establishing brand love and loyalty. In his discussion, Brian examined findings from the measurement of 400 cross-platform campaigns to understand trends in terms of platform mixes. Brian noted the continued growth of social media and CTV along with the decline in linear TV, though he acknowledged linear still remained "king." Furthermore, he found that multi-screen campaigns performed better than single-platform campaigns.
Key Takeaways
The number of connected devices per household has increased from 9 to 12 since the pandemic, creating a more complex path in which to reach consumers.
Despite being separate platforms (e.g., linear TV, social media, online video, etc.) media is “inextricably commingled together,” leading to "context switching and about getting the right content to the right consumer."
In terms of long-form video, "Linear television is still the juggernaut in the room at 205 billion [viewing] hours." Total video across linear, CTV and digital grew 5% year-over-year in the U.S. CTV viewing increased by 14% of the total hours watched.
Short-form video continues to rise in popularity through Instagram Reels, TikTok and YouTube Shorts. This trend in short-form video consumption is growing in double-digit percentages and redefining video consumption across mobile and connected TV screens.
The emergence of Generation Z is changing the marketer approach to brand love and establishing loyalty and building long-term value as their consumer behavior is in contrast to previous cohorts. This is specific to their lack of brand loyalty.
In terms of media consumption, Generation Z are heavy movie watchers (37%), preferring dramas (29%) and cooking shows (23%). Additionally, they expressed interest in local news and documentaries.
Social media is still growing (11%) but there are fewer linear TV households (-9%) as people are consuming media elsewhere and CTV has increased substantially (32%).
Though there was a clear decline in linear TV viewership, linear TV remains supreme regarding total viewership for one channel.
In terms of incremental reach over the length of a campaign, linear TV reached a lot of viewers in the early part of a campaign, but over time the study indicated "reaching incremental people on CTV and digital more often." This finding acknowledged the advantages of a cross-screen campaign in terms of optimizing reach.
Adding screens in a campaign improved brand lift but the variability of results also increased. Additionally, results for ad recall and other variables followed a similar pattern. It was noted that the optimal platform mix depended on the target audience.
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
Challenges with existing approaches to benchmarks included the following:
Inconsistent methodologies across social networks make data comparison difficult when assessing cross-media campaigns.
Behavioral data is often aggregated from more than one source, making data triangulation inefficient and unreliable (e.g., comparing audiences that are not the same).
Outdated benchmarking data often fails to capture more recent substantial changes in the U.S. consumer landscape and the introduction of Generation Z to the consumer marketplace.
Inefficiencies in the benchmarking process are addressed by using the same audience and methodologies across social platforms. Data and information gleaned from surveys and behaviors of consumers come from a single source. In addition, results from campaigns focus on the past three years, creating recency and relevancy.
Calculating benchmarks are based on campaigns no further than March 2021. The median lift score is calculated using the difference between the exposed group and the control group.
Different categories are considered when specific benchmarks are calculated. In addition, a threshold of 15 brands was implemented to create variety and statistical significance.
Audiences surveyed are opt-in and tracked using metered data to assess ad exposure and downstream data. Surveys are provided to exposed and matched control individuals to assess attitudinal changes. Additionally, surveys and behavior can be correlated.
