• Past Event Highlights
• Article

AUDIENCExSCIENCE 2023

The ARF hosted its annual flagship conference, AUDIENCExSCIENCE 2023, on April 25-26, 2023. The industry’s biggest names and brightest minds came together to share new insights on the impact of changing consumer behavior on brands, insights into TV consumption, campaign measurement and effectiveness, whether all impressions are equal, join-up solutions across multiple media, the validity, reliability and predictive power of Attention measures, targeting diverse audiences, privacy’s effect on advertising and the impact of advertising in new formats. Keynotes were presented by Tim Hwang, author of Subprime Attention Crisis, Robert L. Santos of the U.S. Census Bureau, Brian Wieser of Madison and Wall, LLC and Andrea Zapata of Warner Bros. Discovery.

• Audience & Media Measurement
• Article

How Influencer KPI Patterns Differ across Social Media Platforms

• JOURNAL OF ADVERTISING RESEARCH

Brands increasingly use social media influencers as part of their marketing strategy, yet methods for measuring their effectiveness and for choosing optimal partners are unreliable. New research analyzing the key performance indicators (followers and engagement) of 180 influencers, across five social media platforms, identifies patterns that marketers can use toward establishing partnerships with the right influencers.

• Past Event Highlights
• Article

A Layman’s Guide to Cross Media Reach & Frequency Measurement Using Virtual IDs

• By Niraj Patel, Horizon Media, Young Pros Officer

On May 17, the ARF Analytics Council explored the groundbreaking concept of Virtual IDs (VIDs) and their potential to revolutionize cross-media measurement. The essential mechanics of VIDs were explained in a non-technical manner to help professionals across media and advertising understand it better. Panelists shared how VIDs could overcome barriers in calculating cross-media and device reach and frequency.

• Research & Data Quality
• Article

Use AI to Automate These Aspects of Market Research

• MSI

Adopting AI usage into business functions seems to be the new trend, but can it be used to increase efficiency in market research? This study finds that it can help reduce costs and improve speed by automating some aspects of the process. One such way is to use Large Language Models (LLMs) as stand-ins for human survey respondents. The pool of respondents is shrinking. Moreover, the research finds that LLMs can realistically reflect consumer preferences because they have been trained on extensive online data. This process is also a fraction of the cost and time required with conventional methods.

• Research & Data Quality
• Article

Systematic Sensemaking Offers Unique Insights into Market Experiences

Many researchers struggle with developing and writing about their work in a way that is relevant to advertising and marketing practices. This article offers a process—a toolkit of sorts—for crafting qualitative research that is both accessible to industry readers and impactful to the practices of advertising and marketing. A webinar link featuring the authors presenting their findings is also provided for members in the summary below.

• Targets & Segments
• Article

Strategies for Sustaining Social Media Engagement

• MSI

Engaging consumers on social media platforms is extremely advantageous for firms. Yet, sustaining engagement is not always easy. Usership often drops off. The field experiment described in this Marketing Science Institute (MSI) working paper shows helpful ways to sustain social media engagement and offers insights into the positive effects of offering certain members power in their online community (OC).