SEMrush

AI-native platforms reduce market research handoffs

The article argues that the primary delay in market research is the handoffs between systems rather than survey design or analysis. AI-native research platforms—exemplified by Scalafai—aim to connect survey design, fieldwork, analysis, and presentation within a single workflow to reduce exports, reformatting, and manual handoffs. The platform claims (vendor-reported) roughly 30% faster project delivery and about 20% lower cost while operating in a SOC 2–certified environment. The piece emphasizes that such platforms are modular and intended to free researchers from mechanical tasks so they can focus on interpretation and strategy.

Agencies Pivot Up the Value Chain as AI Commoditizes Production

A study published in Industrial Marketing Management finds generative AI is commoditizing routine content production, forcing content marketing agencies to shift from executional production toward higher-value services such as strategic consulting, AI implementation, personalization, and business advisory. Based on interviews with 13 agency professionals and nine client-side marketers, researchers conclude clients will pay more for judgment, creativity, and business strategy that AI cannot easily replicate. The article — published on MarTech and written by Constantine von Hoffman — highlights that production remains necessary but no longer sufficient as attention, differentiation, and strategy become the primary bottlenecks and sources of agency value.

Stop seeking a perfect attribution model

The article argues that expecting a single attribution model to explain modern B2B buying journeys is unrealistic. Three shifts — structural (longer, multi-contact journeys), technical (signal loss from privacy controls, cookie restrictions, ad blockers, AI-driven search, and identity fragmentation), and organizational (different stakeholders needing different answers) — have changed attribution’s role. Rather than searching for one perfect model, successful organizations combine multiple attribution models with complementary methods: server-side tracking, conversion APIs, identity resolution, marketing mix modeling, experimentation, incrementality testing, CRM-connected measurement, and qualitative research. The recommendation is to build a measurement stack that assembles the highest-confidence buyer journey from available signals and uses each method where it best answers specific business questions.