Observed Signal · Jul 21, 2026 · Research Publication · Source: https://martech.org/feed/ · Impact: 3/5 · Sentiment: Neutral
AI Forces Rethink of Marketing Best Practices
A paper by Prof. Rajan Varadarajan (Mays Business School, Texas A&M University) published in Marketing Strategy Journal argues that AI is accelerating "knowledge decay" in marketing by changing how information is created, evaluated, and used. The research distinguishes enduring marketing principles (conceptual knowledge) from short-lived tactical playbooks (instrumental knowledge), and warns that AI-driven buyer research and AI decision-making can invalidate assumptions behind tactics like SEO and traditional B2B funnels. The paper recommends marketers regularly re-test assumptions using four core questions about who the customer and decision-maker are and what they do. The article was published on MarTech (owned by Semrush) and authored by Constantine von Hoffman.
The research highlights meaningful, industry-relevant shifts in buyer behavior and marketing execution driven by AI (affecting SEO, B2B funnels, and tactical assumptions), but it is an academic paper rather than an immediate platform policy change or major platform technical release.
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Key Takeaways & Evidence Grounding
- Prof. Rajan Varadarajan of the Mays Business School at Texas A&M University published a paper in Marketing Strategy Journal arguing AI is changing marketing decision-making and buyer behavior.
- The paper introduces the concept of "knowledge decay" and a shortened "knowledge relevance lifespan" for many marketing tactics as AI alters information creation and evaluation.
- It distinguishes conceptual knowledge (enduring marketing principles) from instrumental knowledge (tactical playbooks with shorter shelf lives) and gives SEO and the B2B buying journey as examples of tactics affected by AI.
- The research recommends marketers ask four questions — who is your customer, what is your customer, who is the marketing decision-maker, and what is the marketing decision-maker — to validate assumptions about buying behavior.
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