Observed Signal · Sep 28, 2026 · Insight · Source: The Drum · Impact: 3/5 · Sentiment: Negative
AI Deepens Marketing's Measurement Paradox, Kantar Finds
At The Drum Live, measurement experts discussed a paradox: marketers have more data than ever, yet confidence in using it is declining. Kantar previewed research showing declining confidence among 800 senior marketers globally, accelerating over the past year. AI is both a contributor and potential solution, but panelists warned that AI only works as well as the data it's fed. Fragmentation and self-serving platform metrics exacerbate distrust. The consensus favors incrementality and outcome-based measurement over last-touch attribution and surface metrics. Organizational alignment on success definitions is critical. The shift also highlights the short-term vs. long-term balance, with confidence in this balance dropped from 60% to 50% in a year. Preparing measurement systems with proper data taxonomy and C-suite ownership is essential for AI readiness.
This article provides critical insight into the measurement paradox affecting the marketing industry, highlighting declining confidence and the challenges AI introduces. It's highly relevant for AdTech and MarTech professionals as it reinforces the need for better measurement frameworks and data strategy.
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Key Takeaways & Evidence Grounding
- Kantar research (survey of 800 senior marketers) shows declining confidence in media mix and data use, accelerating over the past year.
- 97% of executives believe data volume has outgrown their capacity to connect and understand it.
- Marketer confidence in balancing short-term performance and long-term brand building fell from 60% to 50% in a year.
- Panelists at The Drum Live criticized last-touch attribution and called for incrementality and outcome-based measurement.
- AI is seen as a tool that is only as good as the data it ingests, requiring proper data taxonomy and framework.
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