A 'good product' won't win in 2026. Escalent's latest consumer research shows sh
By Vanessa Hung · February 10, 2026 · Curated by George's Blog
A 'good product' won't win in 2026.
Escalent's latest consumer research shows shoppers are exhausted. Tired of searching, comparing, and filtering through options that don't quite match what they need.
When stress and uncertainty rise, consumers don't explore more options. They narrow. They want one clear choice that aligns with what they're looking for, not ten mediocre ones.
That's why AI is becoming the preferred shopping experience. People don't want to search anymore. They want the right option to surface. AI-powered recommendations and intent-matching systems are built to do exactly that.
But here's the operational tension: 40% of consumers are willing to pay more for values-aligned products, while 60% still prioritize affordability. That contradiction forces brands to win on both clarity and constraint simultaneously.
Three trends are reshaping how brands need to operate:
1. Comfort and simplicity become buying filters.
Daily stress pushes consumers toward low-friction experiences. That shows up in how products are evaluated. Catalogs with ambiguous variations, creative bundles, or titles that require interpretation underperform. Clear use cases, explicit constraints, and compatibility details reduce decision load. Reassurance consistently outperforms persuasion.
Proof, clarity, and "what to expect" signals convert more reliably than hype.
2. Personalization depends on structure, not messaging.
AI can only match intent to products when data is structured and consistent. When specifications are incomplete or inconsistent, products become harder to classify, harder to recommend, and easier to skip. Platforms are tightening governance around reviews, returns, and compliance because they're reducing noise so their systems can make confident decisions faster.
3. Experience determines channel selection.
The shift toward experiences over goods shows up as outcome-first expectations. Shoppers want to understand what a product will solve or change before they commit. Content that demonstrates lived experience (UGC, usage scenarios, realistic tradeoffs) becomes the conversion layer. Platforms that surface this well (short-form video, communities, creators) pull discovery upstream. Marketplaces capture the transaction once confidence has already formed.
If you're planning for 2026, the question is whether your catalog is built to reduce doubt fast at both the spec level and the experience level.
Because if AI can't confidently surface your product as the ideal option, someone else's will show up instead.
Full breakdown here: https://lnkd.in/em73DdxN
#Ecommerce #RetailStrategy #ConsumerTrends #AICommerce #CatalogStrategy