Analytics & Data Science

ARF + CIMM Lexicon 4.0, A Common Language for Media Measurement

  • ARF & CIMM

In 2010, the Coalition for Innovative Media Measurement (CIMM), now an affiliate of the ARF, developed this lexicon in order to create a common language for media measurement for use industrywide. One of the project’s initial goals was to facilitate the integration of Return Path Data (RPD). This lexicon has since been updated in 2012, 2016 and now 2021, to emulate the expansion of industry terms related to converged and advanced TV. New platforms, technologies and devices as well as expanded ways to buy, sell and measure media, have resulted in a myriad of new and revised terms and definitions. This latest version, dubbed ARF + CIMM Lexicon 4.0, incorporates all of these advancements, maintaining the reference’s status as a single, reliable and comprehensive resource for the industry.

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OTTxSCIENCE 2021: Streaming in the New Media Landscape: What’s Next? (Event Summary)

OTTxSCIENCE, held on October 26-27, 2021, presented the latest research-based insights about viewers’ use of streaming services, providers’ strategies to reach and captivate those viewers, and the role of advertising on CTV/OTT platforms. Attendees learned about the evolving AVOD vs. SVOD landscape, advances in measurement as well as fraud detection. Experts explored data on the latest trends, the drivers of viewing behavior and the future of OTT.

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Improving Product Sales Predictions Is Brain Science

  • MSI

It’s no surprise that new product launches often fail to meet their targets. The trick for managers is to improve their predictions for such products. They must balance the costs and benefits of many different data sources and analytic techniques in order to improve forecasting. To enhance the accuracy of predicting the market-level sales of new products, researchers Marton Varga, Anita Tusche, Paulo Albuquerque, Nadine Gier, Bernd Weber, and Hilke Plassmann, analyzed the added value of different data types. Their conclusions are illuminating.

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Balancing Personalization and Data Privacy for Optimal Customer Experience (Event Summary)

Marketers currently face a daunting paradox: 91% of US consumers say they are more likely to shop with brands that provide personalized offers and recommendations; meanwhile, 81% of respondents say the potential risks of data collection by companies outweigh the benefits.

This leaves marketers to thread a delicate balance – provide customers with a personalized experience and ensure that their data is secure and being used responsibly.

During this Insights Studio event, HawkPartners shared a blueprint for brands to follow when balancing these issues, and industry leaders from tech and healthcare shared best practices in how they balance these marketing priorities.


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Does Advice from Devices Encourage our Vices?

  • MSI

The latest enabling technologies, such as voice-based smart assistants like Alexa and Siri, along with intelligent shopping carts, make some consumers’ purchasing decisions easier. But they can also potentially lead to harmful outcomes. In this latest MSI working paper, researchers Iman Paul, Rumela Sengupta, Samuel Bond and Satadruta Mookherjee, examined the potential pitfalls of smart device usage in a series of online experiments with paid subjects.

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AUDIENCExSCIENCE 2021 hosted industry leaders and innovators to address the most critical audience measurement issues. Speakers hailing from brands, agencies, media and research companies shared their work and perspectives on the future of addressable TV, which cross-platform measurement methods hold the most promise and why, and how companies are building audiences and developing trust among data deprecation and privacy concerns.

Key takeaways, the full event video, and presentations are available for ARF members:

If you are interested in becoming a corporate member, please contact New-Member-Info@thearf.org.


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Web Scraping for Consumer Insight “Nuggets”

  • MSI

One technique that offers a treasure trove of insights into consumer behavior is “web scraping.” Although worthwhile, using it to gather data requires a specific, methodological approach. Otherwise, validity is threatened. This MSI working paper addresses how researchers should go about web scraping in order to ensure design transparency, analytic reproducibility, analytic robustness, replicability and generalizability of effects.

2nd Annual State of the Research and Analytics Disciplines 2021


This ARF Analytics Council event presented insights from The Organizational Benchmark Survey on the current state of advertising research and analytics. ARF members were provided the opportunity to gain rich insights from this survey taken by more than 400 ARF members.

The survey results offered a look into the types of skills, tools and techniques currently in demand, the degree to which spending on market research and analytics has changed since the first Organizational Benchmark Survey in 2019, and how the pandemic is still shaping the market research and analytics professions.

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