At SHOPPER 2024, practitioners and academics shared research-based insights on retail media networks (RMN), AI, influencer marketing and live shopping. The industry’s leading experts revealed which tools, technologies and trends are shaping the ever-evolving shopper landscape and what brands need to know to stay ahead.
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Aarti Bhaskaran – Global Head of Research & Insights, Snap
Kara Louis – Group Research Manager, Snap
Aarti Bhaskaran and Kara Louis of Snap presented their amalgamation of work on augmented reality (AR) with key data and client case studies from the last two years. Showcasing the growth of the AR landscape, Aarti and Kara featured how consumers are gravitating towards AR and the expanding number of opportunities available for advertisers in reaching new audiences and utilizing within the media mix. Case studies include brands using AR try-on technology from Champs Sports and Clearly eyeglasses. Key takeaways:
James Ambalathukal – Director, Strategy & Insights, Magid
Mike Bloxham – EVP, Global Media & Entertainment, Magid
Mike Bloxham and James Ambalathukal of Magid partnered with twelve networks and streaming services in a study to identify factors of cultural authenticity in drama, comedy and unscripted programs. With research into the creative elements that resonate with diverse populations from qualitative studies and online surveys, Mike and James described the importance of authenticity in how audiences relate to emotional content, how they see themselves in the content and ultimately, how they perceive the content itself. The various levels of signals that diverse audiences assess as good or bad representation include storytelling components and physical production elements, which help separate out what drives positive and negative perceptions of these shows for actionable results. Key takeaways:
Dr. Matthias Rothensee – CSO & Partner, eye square
Stefan Schoenherr – VP Brand and Media & Partner, eye square
Speakers Matthias Rothensee and Stefan Schoenherr of eye square discussed the need for a human element and oversight of AI. Beginning their discussion on the state of attention and AI, Matthias acknowledge that race for attention is one of the defining challenges of our time for modern marketers. He quoted author Rex Briggs, who noted the "conundrum at the heart of AI: its greatest strength can also be its greatest weakness." Matthias indicated that AI is incredibly powerful in recognizing pattern from big data sets but at the same time there are some risks attached to it (e.g., finding spurious patterns, hallucinations, etc.). Stefan examined a case study using an advertisement for the candy M&Ms, which considered real humans using eye tracking technology and compared it to results using AI. The goal was to better understand where AI is good at predicting attention and where does it still have to optimize or get better. Results from a case study indicated areas for AI improvements in terms of gaze cueing, movement, contrast, complexity and nonhuman entities (e.g., a dog). The static nature of AI (e.g., AI prediction models are often built based on static attention databases) can become a challenge when comparing dynamic attention trends. Key takeaways:
A JAR 2022 call for papers on prosocial advertising generated a deluge of submissions aimed at helping advertisers use more effective means of communicating in ways that benefit society. The result is the newly published March issue focused on messaging strategies that help consumers make informed decisions on health, the environment and charity.
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An image that tells a powerful story is vital for the success of a public service ad. Is a photograph or illustration better at motivating prosocial actions? The answer lies in whether the visual medium is paired with concrete or abstract messaging, and how intimately the audience can relate to the ad, new research shows.
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The media landscape continues to evolve, arguably at a faster rate than ever. Leading media and measurement experts presented research-based insights on how viewers use different forms of TV/video on various platforms. Attendees joined us at the Warner Bros. Discovery Studios in California and via livestream to understand the latest data and discussions of the data’s implications.
Member Only AccessNBCU’s Mike Levin and Emily Kwok tested brand safety in premium video content from a viewer perspective in their research using NBCU’s proprietary AI tech for automating brand safety and suitability decision making. The study’s three objectives asked whether increasingly violent episodes influence viewers’ experiences, if they then assign blame to marketers for knowingly advertising in explicit or violent content, and if there are specific instances where adjacency affects viewer sentiment towards an ad.
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.
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”.