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Analytics & Data Science

Improve Marketing Mix Model (MMM) Accuracy by Identifying these Effects

Improve Marketing Mix Model (MMM) Accuracy by Identifying these Effects

  • MSI

This study explores the identification of nonlinear and time-varying effects in marketing mix models (MMM). It highlights the challenges of conflation in model selection and proposes a framework for simulating and estimating these effects using Gaussian processes. The study emphasizes the importance of accurately identifying the underlying response to optimize marketing spending.

The research provides insights into the complexities of marketing effectiveness and offers practical solutions for improving model accuracy. By addressing the issue of conflation, the study aims to enhance the decision-making process in marketing strategies.

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The Importance of Incrementality in Retail Media Measurement

The Importance of Incrementality in Retail Media Measurement

  • INSIGHTS STUDIOS

Despite massive growth driven by significant investments, retail media performance measurement still falls short in many areas. On October 15, OptiMine and Best Buy dove deep into the use of incrementality measurement for retail media, how it works and why it is so unique in the RMN space. Attendees explored why (and how) some of the world’s largest brands have embraced it for improved success.

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The Long-Term Effects of Advertising on Social Platforms

The Long-Term Effects of Advertising on Social Platforms

  • BY KAROLINE CORYEA, YOUNG PROS OFFICER

The ARF Social Council held an event on September 12 diving into the long-term effects of social media advertising on consumers, based on the results of an experiment undertaken by the ARF Social Council. Attendees gained new insights on how they can leverage the study’s results to shape their future social media advertising strategies.

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AI for Data Analysis in Marketing and Advertising

AI for Data Analysis in Marketing and Advertising

Attendees joined ARF in NYC for two workshops – a morning session tailored for professionals without a background in coding, and an afternoon session for data scientists, analysts, engineers, and other data science professionals – that highlighted how to utilize LLMs to analyze example datasets. Additionally, attendees had the chance to participate in real-time AI tool demonstrations.

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OTT 2024: Today's Dynamic Media Landscape -- What's Next?

OTT 2024: Today's Dynamic Media Landscape -- What's Next?

Attendees joined us on October 23 for our annual OTT conference, offering the latest research on shifts in the TV and video landscape, viewer behavior, and cross-platform measurement. Industry experts discussed trends in viewing habits, advertising innovations, and predictions for 2025. Attendees also had the opportunity to participate in discussions and network with industry peers over breakfast, lunch, and the cocktail reception.

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Big Data and Advanced Audiences

Big Data and Advanced Audiences

  • INSIGHTS STUDIOS

Going beyond demographics, planning, buying and selling TV with advanced audiences enables a greater bang for the advertising buck and enables sellers to optimize inventory allocation. On October 9, attendees learned about the opportunities and challenges associated with this increasingly used capability. Pete Doe of Nielsen discussed how to apply data-driven insights to enhance the effectiveness of advertising strategies. After, Paul Donato, Chief Research Officer of the ARF, led a follow-up conversation.

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