top of page

Retailers Are Underinvesting in the Evidence Shoppers Need

4 hours ago
3 min read

A retailer can spend heavily on acquisition, retail media, creator partnerships and increasingly sophisticated personalisation, then lose the sale because a shopper cannot establish whether the product is right for them.


That is the uncomfortable implication of new research from The Business of Fashion and Amazon Fashion & Sports. Surveying 10,000 fashion and sports consumers across five European markets, including the UK, it found that fit uncertainty and unclear product information remain the two largest online shopping frustrations. One in five respondents said poor information was the reason for their most recent abandoned purchase.


The more revealing finding is organisational. Only 19% of brand and retail leaders ranked improving foundational product data as their leading e-commerce priority.


The conversion problem is often not persuasion. It is unresolved uncertainty.

The product page is a decision environment


Product information is too often treated as an operational output: specifications arrive from suppliers, copy is entered into a content-management system and the page is considered complete. But shoppers use that page to make an evidence-based judgement. They are testing whether the item will fit, perform, arrive as expected and justify its price.


For fashion, that means far more than a generic size guide. Material weight, stretch, garment measurements, model context, care requirements and useful comparison points can each reduce ambiguity. In sports, the relevant questions may concern surface compatibility, protection, durability or the level of user for which an item is designed.


The same principle applies well beyond those categories. A homeware customer needs confidence about dimensions and assembly; an electronics customer needs compatibility and limitations explained plainly; a beauty customer needs a credible account of shade, texture and suitability. The right information varies by category, but the commercial task does not: identify the uncertainty that stops a customer progressing.



Retail team reviewing clothing product pages and customer information on a laptop


Better data needs better research questions


Retailers should resist solving this with ever-longer descriptions. More information is not necessarily more useful information. The priority is to understand which missing facts, formats and signals matter at particular moments in the journey.


That calls for a blend of methods. Search terms, on-site search failures, chat logs, return reasons and customer-service contacts can reveal recurring gaps. Behavioural analysis can show where customers pause, compare or exit. Qualitative research can expose the language people use when they are hesitant, particularly where internal category vocabulary is unfamiliar or overly technical.


This is also a creative discipline. The answer may be a clearer photograph, an annotated video, a fit comparison, a decision tool or a more honest explanation of trade-offs. Strong product content does not eliminate every question; it anticipates the consequential ones without obscuring the answer behind brand language.


A trust issue, not merely a UX issue


Clear product information has a legal dimension. UK guidance requires distance sellers to provide descriptions of goods and material pre-contract information, while consumer-protection rules prohibit the omission of information that customers need to make an informed decision.


Yet the greater opportunity is strategic. A product page that leaves important questions unanswered pushes risk on to the customer. It invites abandonment before purchase, disappointment after delivery and costly returns afterwards. It can also weaken the credibility of carefully crafted brand promises.


Retail leaders commonly describe product data as a technology or catalogue-management concern. The new research suggests it deserves a more senior framing: it is a commercial asset that shapes conversion, margin, service demand and trust simultaneously.



The practical test is simple. Before investing in the next discovery channel or automated recommendation layer, ask whether a motivated shopper can make a confident decision from the information already available. If the answer is no, the strongest route to growth may be less glamorous than the newest retail technology: make the evidence better.

Comments


Commenting on this post isn't available anymore. Contact the site owner for more info.
bottom of page