Insights

Public research briefs for brands and platforms evaluating product-driven demand systems.

Insight 01 — AI-assisted shopping becomes a measurable referral channel (2025)

Summary (1–2 lines)

AI-assisted discovery is turning into a real referral stream for ecommerce — with engagement patterns that differ from traditional channels and a conversion gap that’s narrowing.

What the market data shows (2025)

  • AI-driven visits to U.S. retail sites grew sharply year-over-year, with strong growth reported through mid-2025.
  • Visitors arriving from generative AI sources show higher engagement signals (longer sessions, more pages per visit, lower bounce).
  • AI traffic is often earlier in the journey (research/consideration), but the conversion gap has been narrowing over time.

Why it matters for brands & platforms

  • Discovery is shifting upward in the funnel: brands that are “understood” by AI assistants capture consideration earlier.
  • The winning advantage is not “more spend” — it’s better surfaces + better product information + cleaner measurement.

Evyntra take (products-first, no hype)

  • Treat AI-driven discovery as a surface that rewards clarity, structure, and consistency.
  • Build demand engines (tools, utilities, content surfaces) that make products easier to discover and choose.
  • Ensure measurement can distinguish “assist” behavior vs “purchase intent” behavior without breaking attribution.

Sources: Adobe analysis published Aug 2025 (data through July 2025).

Insight 02 — Consumers increasingly accept AI recommendations (and expectations rise)

Summary

Consumers are becoming more willing to act on AI recommendations — which raises the bar for trust, transparency, and the quality of product information.

What the market data shows (2025)

  • A large share of consumers report willingness to act on GenAI recommendations, and many prefer GenAI recommendations over traditional search.
  • The same research highlights the broader context: deal-seeking behavior, social commerce influence, and rising expectations around shopping experience.

Why it matters

  • If recommendations are shaping choices, then the “entity” and “information quality” of a brand/product matter more than raw reach.
  • Brands need demand systems that generate intent and trust, not just clicks.

Evyntra take

  • Build products and content surfaces that reduce uncertainty: explainers, utilities, comparisons, and decision support.
  • Operate distribution with guardrails so demand scales without degrading trust signals.

Sources: Capgemini “What matters to today’s consumer 2025” (global consumer survey).

Insight 03 — Commerce/Retail media measurement is moving toward standards (2025)

Summary

Commerce media is maturing — and measurement standardization is a prerequisite for efficient scaling across partners.

What the market data shows (2025)

  • IAB Europe updated its Commerce Media Measurement Standards (incl. Retail) in Sep 2025, emphasizing refined funnels, clearer definitions (incl. net/gross sales), and improved comparability.

Why it matters

  • Brands and platforms need comparability across ecosystems; otherwise scaling becomes guesswork.
  • The edge shifts from “who buys more” to “who can measure and reconcile cleaner”.

Evyntra take

  • Design measurement and reporting flows as part of the system: event integrity → attribution alignment → deduplication → reconciliation → governance cadence.
  • Treat partner integrations as first-class engineering work, not an afterthought.

Sources: IAB Europe Commerce Media Measurement Standards V2 (Sep 2025 update / public comment).