[2] Everything Is An Ad Network, Even Cars. But All Ad Networks Need Measurement
BMW’s in‑car dashboard promotion demonstrates that even offline devices require robust ad measurement. Building solid measurement infrastructure is essential for trust between advertisers and platforms.
The BMW in-car display ad case clearly demonstrates the imperative for reliable click measurement infrastructure across all ad channels, including offline devices. For our FY26 Priority 3, cross-product unified reporting, we must provide transparent and accurate performance measurement for all ad products to further strengthen merchant trust.
→ Read on AdExchanger
[4] The state of publisher audiences in the zero‑click era
The report highlights that zero‑click search makes traditional click‑based metrics unreliable, pushing publishers toward AI‑driven search and new audience‑centric measurement models. Advertisers must accelerate adoption of cookie‑less measurement solutions.
The rise of zero-click environments and AI search reveals the limitations of traditional click measurement, emphasizing the need for cookie-less measurement and new metrics. For RPP and other search-linked and external ad products, we should urgently adapt to new measurement standards and present a more advanced attribution model in our Priority 3 cross-product reporting.
→ Read on Digiday
Dentsu Cross Brain Offers ‘Data‑Driven Customer Journey’ Using Behavioral Data
Dentsu Cross Brain launched a “Data‑Driven Customer Journey” solution that maps consumer pathways using behavioral data. Marketers can quantify the impact of each touchpoint, informing media planning and creative optimization. Improved attribution accuracy is expected to boost campaign ROI
Dentsu Cross Brain's "Data-Driven Customer Journey" solution, based on behavioral data, highlights the importance of enhanced attribution accuracy and ROI maximization through detailed customer touchpoint analysis. In our "Amazon-like consolidated attribution dashboard" (Priority 3), we should integrate this type of customer journey analysis to provide deeper insights to merchants.
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Explaining Google Trends
The article details how Google Trends calculates a 0‑100 interest index, the filtering rules applied, and common misinterpretations by analysts. Marketers can use the correctly‑interpreted metric for more accurate keyword planning and seasonal demand forecasting.
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Explaining Search Console
It outlines the methodology behind Search Console’s reporting, the scope of available metrics, and the limitations that cause data disputes. Advertisers can rely on this understanding to better benchmark organic performance against paid search efforts.
Search Console's organic search performance data is essential for evaluating the effectiveness of search ads like RPP and formulating comprehensive search strategies. In our Priority 3 unified reporting, we should integrate both organic and paid search data to provide merchants with a more holistic view.
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DoubleVerify Data: AI Slop Hits 500M+ Impressions in First Half of 2026
DoubleVerify reported detecting more than 500 million impressions containing low‑quality AI‑generated content, termed “AI slop,” during H1 2026. This highlights emerging challenges for brand‑safety and viewability measurement, requiring advertisers to embed AI‑content verification into their analytics stacks to protect brand reputation.
DoubleVerify's report on "AI slop" highlights brand safety and viewability verification as new challenges for AI-generated creatives. For TDA, which focuses on AI banner generation, we must recognize this risk and integrate AI content verification into our content review and measurement frameworks to mitigate brand risk for merchants.
→ Read on ExchangeWire
Never Knowingly Undiscovered: John Lewis and the Rise of Share of Model
The piece explains the emerging “share of model” metric in the AI era, positioning it as a successor to traditional share‑of‑voice for quantifying ad investment impact. It suggests that AI‑driven analytics can improve budget allocation and measurement precision for advertisers.
The emergence of "Share of Model" as a new AI-driven metric for quantifying media investment effectiveness suggests that AI-powered data analysis can enhance budget allocation and measurement accuracy. In our Priority 3 unified reporting, we should leverage more advanced AI-driven models to analyze the effectiveness of products including RPP and TDA-EXP, thereby increasing the value provided to merchants.
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