Observed Signal · Jun 24, 2026 · Opinion / Analysis · Source: https://martech.org/feed/ · Impact: 2/5 · Sentiment: Positive
Trust Must Drive Your Data Strategy
In a MarTech contributed essay published June 24, 2026, Jay Mandel argues that the advertising and data economy is built on an extraction-first architecture that treats people as raw material rather than participants. He contends technical fixes (cleanrooms, CDPs, brokers) cannot fully address the problem because the foundational incentives prioritize signal extraction over human understanding. Mandel outlines harms from 'dirty data'—price discrimination, biased hiring automation, malicious health advertising, and predatory financial targeting—and cites legal scholar Cass Sunstein to distinguish legitimate influence from algorithmic manipulation. He advocates shifting toward transparency, specific consent, clear chain-of-custody and a 'clean data' model in which people can verify and control their data, claiming this approach yields better compliance, lower breach liability, and durable trust.
Thought leadership on data trust and privacy highlights systemic liabilities (dirty data, algorithmic harm) and recommends structural changes; relevant to martech and adtech strategy but not a platform policy, regulation, or technical product launch.
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Key Takeaways & Evidence Grounding
- Article published on MarTech on 2026-06-24.
- Author Jay Mandel is founder of the Marketing Accountability Council and Dāginty and previously served as social media and content lead for Mastercard.
- MarTech is owned by Semrush (stated in the article's contributor note).
- The article argues that trust, consent, and data quality reinforce one another and that participatory, transparent data practices reduce compliance and breach liability.
- The piece cites legal scholar Dr. Cass Sunstein to distinguish legitimate influence from algorithmic manipulation.
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Ontology Mapping & Concepts
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