TV

Going Steady: How Long Will (My Cross-Media Campaign) Last?

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.

A Two-Pronged Approach

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.

 

Ten Things to Know about Viewing

Yes, there is upheaval in the media industry. The press paints a dire picture of viewing, yet Radha Subramanyam (CBS), focuses on growth. Total viewing is up 2% year over year, broadcast share of total viewing up 2%. CBS viewing also is up 2% year over year—across entertainment, news and sports, 8-10 shows averaging over 10 million viewers nightly. When it comes to reach and “unique,” it’s an even bigger number in streaming, particularly entertainment. There’s great momentum in sports and women in sports.

Crisis and Opportunity – The Future of Media for Research and Measurement

Brian Wieser’s keynote address covered four trends that are affecting the media and advertising industries: industry consolidation, the rise of ad-free TV, the emergence of new e-commerce marketers and procurement. After his presentation, Scott McDonald probed him further about his observations about the state of the media and advertising marketplace in 2023. His key points on these four trends and highlights of Brian’s conversation with Scott appear below.

The New State of TV

Fifty years ago, defining TV was pretty simple but the video landscape has changed dramatically in the last 10 years. Video is growing today, and this is driven by CTV. TV formats have their own personalities and content to define them. TV should not be approached in isolation because that is not how consumers approach it.

Beyond Reach, the Importance of Measuring Ad Resonance

Tom Weiss and Megan Daniels of MarketCast introduced a new metric in their break-out session: brand effect resonance. This product evolved from one called Brand Effect which uses a combination of survey (15,000 consumers per day) and behavioral data across linear, social, digital (popular websites) and streaming. First developed by IAG, then owned by Nielsen and then Phoenix, Brand Effect stands as the main engine of the brand-effect resonance rating system, which was created to overcome gaps in reach measurement. They believe it can now isolate and show exactly how content and platform quality impacts advertising performance. Resonance here is defined as how well people remember the ad, how well they understood the creative and the message and how well they can link it back to the brand. Ad resonance measurement is said to be able to isolate the impact of content and platform on ad recall.

$3 Trillion Sales Study Show TV Has Highest Quality Impressions

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.

Expanding Spanish Language Audiences

Sergey Fogelson and Edouardo Vitale, both from TelevisaUnivision, outlined their motivations for developing a custom lookalike model (LAM) to expand Spanish-language audiences, which were under-represented:

  • Misidentification: 4 in 10 Hispanics are excluded from 3p datasets.
  • Waste: 70% of impressions targeted at Hispanics are wasted.
  • Scale: The true scale of the Hispanic population within a given brand’s 1p dataset is hard to identify without extensive validation.

The Challenge of Churn

Media use has been changing rapidly and that requires paying constant attention to how viewers use services, for example, which streaming services they subscribe to and which they cancel. Churn among streaming service subscribers is typically seen as a negative: Providers try to minimize churn, maximize retention. Based on analyses of their Subscriber Science Monitor data, Magid researchers Mike Bloxham and Tony Cardinale offered a fresh perspective on the drivers of churn as well as on the implications of churn for content providers. They conclude that churn is inevitable—and that some churn is correlated to growth and cultural relevance. The key to their insights was a segmentation analysis that focused on viewers’ propensity to churn.

Context Matters

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”.