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).
