Future States

Read the latest and most impactful research on future states and emerging technologies for innovating research methods here. All the research listed comes from the ARF or one of its subsidiaries: The Journal of Advertising Research (JAR), the Marketing Science Institute (MSI) or the Coalition for Innovative Media Measurement (CIMM). Feel free to bookmark this page, as it will be updated periodically.

The ARF Attention Measurement Validation Initiative: Phase 1 Report Updated

  • ARF ORIGINAL RESEARCH

Attention metrics have drawn a high degree of energy in the last few years, for many reasons, including the loss of behavioral signals due to privacy restrictions, growing frustration with ad viewability and its perceived limitations, attention metrics’ impact on the cross-platform measurement debate and that biometric technologies can now be applied “in the wild,” rather than just in labs. The ARF’s Attention Measurement Validation Initiative aims to describe the attention measurement space in detail, illuminating this nascent sector. The Phase One findings include a comprehensive literature review and a report that maps out the vendor landscape in this increasingly diverse specialty. The report includes two sections. The first section describes what methods are being used, what these companies report and how and what they measure, be it ad creative or the media environment. The second section includes in-depth overviews of the 29 participating attention measurement companies. The Phase One Report is a must-read for anyone interested in attention metrics or what companies are operating in the space.  

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How Patients React to AI-Assisted Communications

  • MSI

Generative AI is all the rage, and consumers are interested in interacting with such programs to receive personalized services and products. What is their outlook when it comes to doing so in the healthcare field? Here, the view is not as sunny. In fact, a new working paper put out by the Marketing Science Institute (MSI), at the ARF, found that physicians who use AI to communicate with patients were perceived as less warm and even less competent.

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Retail Media Networks, Generative AI Top JAR’s Industry-Informed Research Priorities

  • JOURNAL OF ADVERTISING RESEARCH

Retail media networks, generative AI across creative, market research and trust, ad effectiveness and attention: These are among the topics highlighted on the Journal of Advertising Research’s list of 2024 research priorities. The list is a result of one-on-one interviews with advertising professionals by Editor-in-Chief Colin Campbell, who asked: "What are your biggest needs and challenges?"

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How to Use Machine Learning to Speed Up the Product Design Process

  • MSI

Aesthetic design significantly affects consumer evaluation of products. Nowhere perhaps is this truer than for the automotive category. However, in this industry, development cycles can be lengthy. As a result, mid-generation “facelifts” periodically occur to maintain appeal. However, this process can be expensive. Recent breakthroughs in machine learning may help speed up the process in an efficient and scalable manner. Not only is this option cost-effective, but it is customizable. For those who wish to infuse nature-inspired elements into an aesthetic design, deep machine learning offers many advantages.

If You Stream It, They Will Come: Marketing Through Streaming Platforms

  • MSI

Livestreaming platforms and social shopping in general have grown into marketing channels that can be very lucrative for several different categories. However, livestreaming stands apart from “normal” social media in the fact that influencers are less reliant on corporate sponsors, as they have their own customer base that they rely on. So, how can marketers be successful within these channels? This Marketing Science Institute (MSI) working paper illustrates what forces are at play with livestreaming and how to balance them for the benefit of all parties.

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Minimizing Risk and Inspiring Innovation When Using GenAI and LLMs

Generative AI (GenAI) and Large Language Models (LLMs) have reached a point in their development where they have become tools so powerful, they will quickly become too important to ignore. Proper use can drive greater efficiency, productivity, better automation and even become new revenue drivers, according to this concise, how-to guide written by Steven Millman, ARF board member and Global Head of Research & Data Science at Dynata. It describes best practices and potential pitfalls in data privacy and security, protecting IP, oversight and more.

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The ARF Handbook for Using AI in Advertising Research

Significant developments in AI have occurred in the last two years, allowing it to be used in various places in the advertising industry. One area that has received little attention however is advertising research. Recognizing this, the ARF has conducted a significant number of its own research. The product of this effort is an AI handbook that offers practical advice in several key aspects of using AI for advertising research. Moreover, an interactive function allows experts to leave comments that, once verified, will be integrated into the report, making it a living, breathing document that continues to evolve as AI advances.

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How to Leverage the Video Game Ecosystem for Marketing Analytics

  • MSI

Online video gaming is a channel that has grown significantly in popularity in the last decade and the trend is likely to continue. Due to a massive group of highly engaged gamers, marketers can use this channel to understand this segment and their needs much better. However, this ecosystem, along with providing unique opportunities, also comes with unique challenges. This Marketing Science Institute (MSI) working paper offers a roadmap.

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Young People Respond Favorably to ASMR Ads on YouTube

  • JOURNAL OF ADVERTISING RESEARCH

For many college-age consumers, the tingles and relaxing sensations that come from experiencing autonomous sensory meridian response (ASMR) can be weird and fun, but off-putting when, say, an endorser is too chatty and loud in the video. New research uses these insights to guide marketers and suggest that ASMR ads, typically aired on YouTube and other, non-traditional channels, are more effective at gaining attention than on traditional media.

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MSI Blue Ribbon Report Preview Charts the Future of MMM

  • MSI

The practice of marketing mixed modeling (MMM) is increasing, research finds, partially because of the implementation of privacy restrictions. Today, finding appropriate providers to optimize marketing investments remains challenging. This was the impetus behind the Marketing Science Institute (MSI)’s Blue Ribbon Report on MMM. This free preview of the full white paper outlines what best practices to employ in a rapidly changing landscape. It identifies challenges for MMM veterans and ways to meet them. It also introduces executives to the opportunities that exist when introducing MMM into their firm. The report preview provides a brief overview of the top-level findings found in the full report, which is only available to MSI members.

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