privacy

Media Measurement and Experimentation in an AI-integrated World

Media Measurement and Experimentation in an AI-integrated World

Artificial Intelligence is revolutionizing the way advertisers find and influence consumers, how success is measured, and the strategies and tools used for experimentation. On July 10, panelists from Google and HP led a discussion on the changing landscape of measurement tools, shifting mindsets from precision to prediction, and leveraging AI-driven tools to achieve marketing and business outcomes.

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Preparing for Google’s 2024 Privacy Changes

Preparing for Google’s 2024 Privacy Changes

On June 25, OptiMine dove into the specifics of Google’s privacy changes and revealed how these changes will impact the marketing and measurement landscape. Traditional forms of measurement will no longer be viable as privacy-driven data loss continues to diminish accuracy, coverage and reliability. Attendees gained applicable strategies on how their brands can adapt before it’s too late.

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How to Calculate Reach and Frequency Using Virtual IDs (VIDs)

How to Calculate Reach and Frequency Using Virtual IDs (VIDs)

Current existing methods used to calculate reach and frequency of a campaign or media schedule are known to have deficiencies in measuring cross-device ad exposure. Restrictions to protect digital privacy complicate cross-platform exposure measurement even further. Multiple global research organizations have turned to a concept known as “virtual people,” to overcome these limitations in order to produce aggregate reach and frequency estimates. This report by the ARF Analytics Council provides a foundational overview of VIDs for a broad audience, providing ARF members with a stronger understanding of this vital topic.

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Demystifying Data Privacy: Understanding the Cookieless Future

Demystifying Data Privacy: Understanding the Cookieless Future

  • YOUNG PROS

On May 9th, the ARF Young Pros hosted an event focused on data privacy and the implications of a cookieless future. Cole Strain from Samba TV started the event with an overview of data privacy fundamentals and the impending changes due to the deprecation of cookies. This was followed by a panel discussion featuring experts from Snapchat, Comscore, and Google, moderated by one of our Young Pros Advisory Board Members, Gillian Kenah from Tracksuit.

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How to Balance Consumer Response to “Skimpflation”
  • Article

How to Balance Consumer Response to “Skimpflation”

Rising costs are an important issue for businesses. Many wonder how they should respond and how customers will react if they say, reduce product quality. Such “skimpflation” can be harder for consumers to detect. However, this Marketing Science Institute (MSI) working paper finds that those who do realize it consider the practice deceptive and unfair. Consumers, it seems, prefer reduced product size (shrinkflation) or increased prices to skimpflation, with price increases the most popular/least unpopular of these options.

Driving Greater Campaign Reach and Relevancy Across Formats

Driving Greater Campaign Reach and Relevancy Across Formats

Sharmilan Rayer – GM, Amazon Publisher Cloud


Sharmilan Rayer of Amazon Publisher Cloud discussed an approach to empowering addressability as legacy identifiers (cookies and mobile IDs) fade. This approach, called durable addressability, includes the sharing of first-party signals across publishers, advertisers and third parties. Its three pillars are first-party signal investment, secure signal collaboration and machine learning (ML) powered modeling. The Amazon Marketing Cloud is their new advertiser clean room which takes this approach. It allows advertisers to combine their first-party signals with Amazon’s publisher ones and any third-party’s in a privacy compliant way. Key takeaways:
  • Durable addressability starts with each member investing in first-party data from a resource, funding and technology perspective.
  • Sixty percent of advertisers report planning to leverage first-party data for ad placements, and 47% of publishers say their first-party data is the answer to cookie deprecation.
  • The first-party data advertisers would bring to this strategy includes customer engagement, conversions and proprietary audiences.
  • Amazon has access to publisher first-party data across CTV, web, mobile and audio. Having access to this first-party data allows for determining which ad opportunities are best for a particular campaign.
  • As cookies deprecate, clean rooms will begin playing a more important role, according to Amazon.
  • Modeling by machine learning has increased reach 20-30% on unaddressable supply, Amazon claims.
  • A new product called Performance Plus combines Amazon Ads signals, advertiser conversion signals and machine learning to generate predictive segments. It has been observed boosting conversions 30-80%.

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