Across all platforms, creative continues to have the dominant effect ranging from 46% to 49% of the effect of the campaign. The proportional effect of media and brand vary by platform depending on the targetability of the medium, the ability to build reach and the appeal to younger audiences such as is the case for social media.
Mars and Realeyes prove connection between creative attention and sales performance. Mars’ Agile Creative Expertise (ACE) tool tracks visual attention and emotion responses to digital video ads. Visual attention AI and facial coding measures how long participants watch a video and how their attention changes as they watch. Proven this model to work—optimizing content, lifting sales up to 18% in 19 markets, $30 million in ad optimizations in 18 months.
A new survey explored how marketers think about the advantages and obstacles of combining addressable linear campaigns with digital campaigns.
This research has two main objectives: to establish if there is evidence for distinct environment types within digital media and to understand implications for use of attention metrics. The study focused on mobile “in the wild” test using simulated media environments conducted and analyzed by Realeyes in partnership with Eye Square and Bill Harvey consulting. The study scoped to video ads on six media platforms—Meta (Facebook and Instagram), Hulu, Snapchat, TikTok, Twitter and YouTube—and three environment categories—Feed (Facebook, Instagram, twitter), Short Form (Facebook, Instagram and Snapchat stories, TikTok Takeover, Feed and TopView, and YouTube shorts) and Stream (Facebook InStream, Hulu Pre and Mid Roll, and YouTube Skippable and Non-Skippable). Study was conducted in three stages: pre-exposure survey followed by in-context view (ad visibility, skips scrolls, on-screen attention and reactions) and then post-exposure survey (examining brand recognition, ad recall, brand trust, ad liking and persuasion). A number of constants were held: 1) isolating effect of creative; 2) holding audience constant through randomization and isolation (each person sees only one ad at a time).
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.
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.
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.
Allison Gutkowski and Michelle Niedziela of HCD Research covered unique approaches to increasing consumer engagement and introduced the concept of sensory memetics, which they describe as an approach to curating it. They also shared their thoughts on identifying consumer habits and lifestyle and incorporating these with sensory profiling to make them more meaningful. Moreover, utilizing new technologies, like ChatGPT, can offer new product ideas and social media marketing messages that evoke brand harmony and are more engaging. They also dove into the theoretical drivers behind behaviors that either spell engagement or ad avoidance and where the line is between authenticity and distrust due to sponsorship.
Vita Molis and Abby Thorsgaard, both from TikTok, discussed the reasons that TikTok’s creators are impactful, drive full funnel metrics for brands and are a good investment for advertisers. Consumers view TikTok creators as authentic and informative. Not only do people learn from creators in a fun and engaging format, they also trust and relate to them. Sixty percent of consumers find TikTok creators more influential than celebrities. Creator content on TikTok is entertaining and on-brand. The real and approachable persona of TikTok creators is transferable to brands. For example, one in two consumers accurately recalled the brand after exposure to a creator’s ad. Additionally, after watching creator content on TikTok, consumers said they felt like part of the creator’s community, as well as part of the brand’s community.