identity resolution

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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Forecasting & Optimizing Reach in a PII Compliant Measurement Ecosystem

Forecasting & Optimizing Reach in a PII Compliant Measurement Ecosystem

Spencer Lambert – VP, Product & Partnership Success, datafuelX

Matthew Weinman – Sr. Director, Advanced Advertising Product Management, TelevisaUnivision

Reach and frequency planning requires access to unique viewership data, which has become increasingly restricted due to identity restrictions. However, challenges exist with panel-only measurement, including the undercounting of Hispanic and Spanish language coverage, stated Matthew Weinman (TelevisaUnivision). Panel data undercounts Hispanics audiences by upwards of 20%, even for broad demographics. The benefits of big data exist across audience planning, viewership measurement and outcomes. Excessive frequency can be limited while maintaining or expanding reach, as well as improving ROAS. However, there are barriers to working with big data, including PII compliance. Additionally, the size and scale of big data leads to lengthy ID forecast times and computing costs. Spencer Lambert (datafuelX) presented details of their approach to ID-level forecasting which included their reach and frequency clustering methodology. Key takeaways:
  • Advantages of clustering methodology over identity methodology for reach and frequency:
  • Efficiency and accuracy: Delivers comparable accuracy metrics
  • Lower error rates: Seven percent for cluster reach forecasts vs. 20% error rate on identity-scaled reach forecasts
  • Cross-platform reach and frequency: By scaling cluster assignments to digital IDs, this methodology can empower cross-platform management and optimization
  • Lower compute time and costs
  • PII compliant: Preserves the use of identity-level planning

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The Power of AI for Effective Advertising in an ID-free World

The Power of AI for Effective Advertising in an ID-free World

Rachel Gantz – Managing Director, Proximic by Comscore

Amidst heightened regulations in the advertising ecosystem, Rachel Gantz of Proximic by Comscore delved into a discussion of diverse AI applications and implementation tactics, in an increasingly ID-free environment, to effectively reach audiences. Rachel highlighted signal loss as a "massive industry challenge," to provide a framework for the research she examined. She remarked that the digital advertising environment was built on ID-based audience targeting, but with the loss of this data and the increase in privacy regulations, advertisers have placed their focus on first-party and contextual targeting (which includes predictive modeling). In her discussion, she focused on the many impacts predictive AI is having on contextual targeting, in a world increasingly void of third-party data, providing results from a supporting experiment. The research aimed to understand how the performance of AI-powered ID-free audience targeting tactics compared to their ID-based counterparts. The experiment considered audience reach, cost efficiency (eCPM), in-target accuracy and inventory placement quality. Key takeaways:
  • Fifty to sixty percent of programmatic inventory has no IDs associated with it and that includes alternative IDs.
  • Specific to mobile advertising, many advertisers saw 80% of their IOS scale disappear overnight.
  • In an experiment, two groups were exposed to two simultaneous campaigns, focused on holiday shoppers. The first group (campaign A) was an ID-based audience, while the second group was an ID-free predictive audience.
    • Analyzing reach: ID-free targeting nearly doubled the advertisers’ reach, vs. the same audience, with ID-based tactics.
    • Results from cost efficiency (eCPM): ID-free AI-powered contextual audiences saw 32% lower eCPMs than ID-based counterparts.
    • In-target rate results: Significant accuracy was confirmed (84%) when validating if users reached with the ID-free audience matched the targeting criteria.
    • Inventory placement quality: ID-free audience ads appeared on higher quality inventory, compared to the same ID-based audience (ID-free 27% vs. ID-based 21%).

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The Other Thread: The Debate About Cross-Media Deduplication

The Other Thread: The Debate About Cross-Media Deduplication

On June 28, media research pioneer and journalist Bill Harvey sent excerpts of his latest Media Village article to several of the industry’s leading media researchers. That article was entitled: Cross-Media Duplication Must Be Rigorously and Empirically Determined. What followed was a robust intellectual debate that outlines where the lines are drawn in the industry as far as whether virtual IDs (VIDs) can overcome issues of privacy and still provide an accurate account of campaign cross-platform duplication. We now share this jaunty and insightful exchange with our members.

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Marketing Performance Measurement – Where are We Now?

  • Posted: July 26, 2023

On July 12, 2023, the ARF Cross-Platform Measurement Council’s Attribution Working Group brought together a panel of performance marketing experts to discuss where we are now in marketing performance measurement. Panelists from both the service provider and the user side of performance measurement shared their thoughts on the new and remaining challenges and the tools we have today to address them. Alice Sylvester (Partner, Sequent Partners) and John Young (SVP, Audience Analytics Solutions, MediaHub) moderated 3 insightful discussions with a group of industry experts Allyson Dietz (Senior Director, Marketing Solutions, Neustar), Vijoy Gopalakrishnan (Chief Research Officer, iSpotTV), Stephen Williams (CEO, Marketing Evolution), Karen Chisholm (Director, Analytics Transformation, Pernod Ricard), Sophie McIntyre (Ads Research Lead, Meta), Sunil Soman (VP, Campaign Effectiveness, Warner Brothers Discovery, Chair of the Attribution Working Group), and Emily Weishaupt (Communications Insights manager, Nestle Purina NA).  

How to Use Virtual IDs

  • Posted: July 25, 2023

The ARF Analytics Council has explored the use of Virtual IDs (VIDs) for cross-media measurement and offered a non-technical approach during our virtual event, “A Layman’s Guide to Cross Media Reach & Frequency Measurement Using Virtual IDs.” Read more »

Marketing Performance Measurement – Where are We Now?

Marketing Performance Measurement – Where are We Now?

  • by Meredith Zhang, TikTok (Young Pros Officer)

On July 12, 2023, the ARF Cross-Platform Measurement Council’s Attribution Working Group brought together a panel of performance marketing experts to discuss where we are now in marketing performance measurement. Panelists from both the service provider and the user side of performance measurement shared their thoughts on the new and remaining challenges and the tools we have today to address them. Alice Sylvester (Partner, Sequent Partners) and John Young (SVP, Audience Analytics Solutions, MediaHub) moderated 3 insightful discussions with a group of industry experts Allyson Dietz (Senior Director, Marketing Solutions, Neustar), Vijoy Gopalakrishnan (Chief Research Officer, iSpotTV), Stephen Williams (CEO, Marketing Evolution), Karen Chisholm (Director, Analytics Transformation, Pernod Ricard), Sophie McIntyre (Ads Research Lead, Meta), Sunil Soman (VP, Campaign Effectiveness, Warner Brothers Discovery, Chair of the Attribution Working Group), and Emily Weishaupt (Communications Insights manager, Nestle Purina NA).  

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THE LAST WORD: Wednesday

  • Posted: July 10, 2023

There was a combination of both upbeat and downbeat takeaways from the anchor commentators on the last day of the conference.

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