mobile research

The Power of AI for Effective Advertising in an ID-free World

Rachel GantzManaging Director, Proximic by Comscore

Amidst heightened regulations in the advertising ecosystem, Rachel Gantz of Proximic by Comscore delved into a discussion of diverse AI applications and implementation tactics, in an increasingly ID-free environment, to effectively reach audiences. Rachel highlighted signal loss as a "massive industry challenge," to provide a framework for the research she examined. She remarked that the digital advertising environment was built on ID-based audience targeting, but with the loss of this data and the increase in privacy regulations, advertisers have placed their focus on first-party and contextual targeting (which includes predictive modeling). In her discussion, she focused on the many impacts predictive AI is having on contextual targeting, in a world increasingly void of third-party data, providing results from a supporting experiment. The research aimed to understand how the performance of AI-powered ID-free audience targeting tactics compared to their ID-based counterparts. The experiment considered audience reach, cost efficiency (eCPM), in-target accuracy and inventory placement quality. Key takeaways:
  • Fifty to sixty percent of programmatic inventory has no IDs associated with it and that includes alternative IDs.
  • Specific to mobile advertising, many advertisers saw 80% of their IOS scale disappear overnight.
  • In an experiment, two groups were exposed to two simultaneous campaigns, focused on holiday shoppers. The first group (campaign A) was an ID-based audience, while the second group was an ID-free predictive audience.
    • Analyzing reach: ID-free targeting nearly doubled the advertisers’ reach, vs. the same audience, with ID-based tactics.
    • Results from cost efficiency (eCPM): ID-free AI-powered contextual audiences saw 32% lower eCPMs than ID-based counterparts.
    • In-target rate results: Significant accuracy was confirmed (84%) when validating if users reached with the ID-free audience matched the targeting criteria.
    • Inventory placement quality: ID-free audience ads appeared on higher quality inventory, compared to the same ID-based audience (ID-free 27% vs. ID-based 21%).

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Redrawing the Marketing Plan—How to Activate Brands Effectively for GenZ

In this session, Aarti Bhaskaran (Snap) and Priscilla Aydin (OMG) presented their partnered research that investigated: the channels, platforms and motivations Gen Z utilizes to consume content; Gen Z’s expectations from brands as well as their receptivity to different types of messaging; how brands can effectively converse and plan for GenZ, including selecting the right platforms/media, cultural moments and developing authentic messaging.

How Augmented Intelligence Unlocks Creative Effectiveness on YouTube

Ariane Le Port of Google explored the relationship between augmented intelligence and creative effectiveness on YouTube. She noted that in the past, measuring creative was a challenge that was “so nuanced and so complex” that people tended to shy away from measuring it. In this session, Ariane pointed to a six-year experiment on YouTube video ads to help brands understand what is most effective in mobile video. In the experiment, they conducted A/B testing and took into account a variety of areas, such as framing, pacing, audio and other areas to find patterns of creative effectiveness. These experiments led to a partnership between Google and Ipsos to create YouTube’s ABCDs (Guidelines) for creative effectiveness. YouTube and Ipsos studied 17,000 ads in an effort to identify the creative elements that have a measurable impact, using a human and machine learning (ML) approach. Leveraging machine learning (ML) enabled them to look at large and robust datasets to gain a deep understanding of what elements work best in creative. Ariane discussed their augmented intelligence methodology which included data scope and collection, human and machine creative coding, metrics and data modeling and insights and commercialization.

How Speed Preference During Travel Affects Mobile Marketing

  • MSI

Today, it is more common than ever for consumers to access media and make decisions on the go. Marketers need to know how being in a state of mobility affects them in order to reach them with the right message at the right time. This study helps shed a little light on how such mobility itself may influence consumer thinking and behavior.

Aggregating Location Data for Privacy and Profit

  • MSI

Using mobile location data to improve targeting marketing is a good strategy, but the downside is that it can increase consumer concern over privacy. What’s a better way to do it? Instead of aggregating data by home location, doing so by the centroid of brand sites visited can result in good predictions, while still maintaining individual anonymity.

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Attitudes Towards Privacy (Event Summary)

  • ARF VIRTUAL TOWN HALL

This Town Hall presented work by W2O related to privacy and COVID-19 contact tracing apps, as well as findings from an April 2020 privacy survey conducted by the ARF that included several questions about COVID-19 and its impact on how people feel about privacy, geo-location and trust. This session featured presentations by Dan Linton, Global Data Privacy Officer of W2O, and Paul Donato, Chief Research Officer of the ARF. Editor’s Note: The full summary is available to members only.

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  • Article

Optimizing Mobile Survey Research

Marketers invest $13.7 billion globally in on-line consumer research, according to ESOMAR’s 2016 Global Market Report, growing at a 6% CAGR over the last 5 years. During that same time, the number of consumers starting surveys on their smartphones has grown at a 49% CAGR, more than eight times the rate of the industry’s growth. Nearly 30% of consumers are now using their smartphones to respond to surveys. Yet survey drop-offs are 20% higher on smartphones than on a PC. (ESOMAR, 2016; FocusVision, 2017). Access the KAH

  • White Paper, Mobile Survey Research
  • Source: The ARF

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Get a “Thumbs Up” on Mobile Research

  • KNOWLEDGE AT HAND

Popularity can come with a price. Although mobile survey research is increasingly popular, it often suffers from high drop-off rates. What can marketers and researchers do to reduce drop-off? This ARF-original Knowledge At Hand article identifies best practices to overcome the problem and improve mobile survey effectiveness.

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