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Consumer trust

What UK shoppers actually check before buying (and what they don’t)

There is a large gap between what shoppers say they do to verify a site and what they actually do. This report is about that gap, why it matters more than the survey answers, and what the behavioural evidence says trust signals need to do.

By VerifiedUK Research·3 July 2026·9 min read

Under 4%

of ecommerce visitors typically scroll to a site’s footer during a purchase visit, per aggregate ecommerce eye-tracking observations. Any trust signal that only appears in the footer is invisible to the other 96%.

If you ask a UK shopper how they decide whether an online store is trustworthy, you get a reasonable-sounding list. They check the reviews. They look for a padlock on the address bar. They check the returns policy. They might mention Companies House. A confident minority will say they Google the brand name.

None of that describes what most of them actually do. And the gap between the stated version and the observed version is the most important thing a merchant can understand about how trust signals work.

The stated versus revealed preference problem

Behavioural economics has a long-running distinction between what people say they will do and what they actually do. On trust checking, the gap is unusually wide. Surveys consistently report high rates of active trust checking. Eye-tracking, session recordings and usability observation consistently report that active checking is rare, quick, and concentrated in a very small number of places on a page.

This is not shoppers lying. It is shoppers describing an idealised version of themselves. Under any real time pressure, and with any prior familiarity with the merchant, the checking they perform is far lighter than the checking they think they perform. The signals that decide the sale are not the ones they can name in a focus group. They are the ones that catch the eye during a two- to five-second scan.

What shoppers say they check

The consistent survey picture is that UK shoppers report checking, in order of stated frequency, the reviews on the product, the reviews on the merchant more generally, the returns policy, the security of the payment process, whether the site looks professional, and, further down, the actual identity or company details of the seller.

These are all plausible checks. The problem is that “checking” for most of them means glancing at a signal, not actively investigating one. Almost nobody clicks through to read a full returns policy. Almost nobody scrolls to the footer to hunt for a company number. Very few visit Companies House. The stated version implies deliberate verification. The revealed version is a set of quick scans looking for signals that verification could be done, not doing it.

What they actually check

The behavioural literature on ecommerce scanning is dominated by three findings that are consistent across studies.

First, attention on a product page is heavily weighted to the top-left region, following the well-documented F-shaped scanning pattern first described by Nielsen. The star rating and price receive strong initial attention. Elements more than one screen down receive a small fraction of the attention of elements above the fold.

Second, footers are essentially unread during purchase-intent visits. Baymard’s aggregated eye-tracking work suggests footer engagement during a shopping session sits well under 5%. This matters because footers are where most stores put their trust badges, company registration numbers, and “About us” links. Any signal that only lives in the footer is doing almost no work. The signals that earn their place are the ones held in the viewport by design: the header band, a fixed-position seal, or the area around the buy button.

Top of page

Where nearly all deliberate trust-checking attention lands during purchase visits. The header band, the product-title area, and the immediate surroundings of the buy button capture the vast majority of trust-signal fixations.

Source · Baymard Institute eye-tracking research (aggregate)

Third, the checks that do happen are proxy checks. Shoppers do not read the returns policy, but they scan for whether one visibly exists. They do not verify the seller’s identity, but they scan for whether an identity signal visibly exists. Presence of a signal is doing most of the trust work, not the content of the signal. This is not lazy checking. It is efficient checking, and it is what human beings do when the information asymmetry is high and the time pressure is real.

Where attention actually lands

Region of pageStated importanceActual attention
Header and top navNot usually mentioned in surveysHigh. First place scanned. Trust signals here punch above their weight.
Product title and star ratingCited as importantVery high. Fixations concentrate here.
Price and immediately surrounding elementsCited as importantHigh. Guarantee and shipping copy here get read.
Add-to-cart button and immediate surroundingsNot usually namedHigh. The seal band beside the button is a genuine attention hotspot.
Below-the-fold product content“I read the description”Low. Skim-scanned by most shoppers.
Footer“I check the company details”Very low. Under 5% of shoppers engage with the footer during purchase visits.
Company number, VAT, registration copy“I always check this”Effectively zero, unless the shopper is already actively suspicious.

The proxy-checking pattern

The single most useful concept for understanding modern trust checking is the proxy. A shopper does not verify each claim on a site. They scan for signals that a serious business would have, and treat the presence of those signals as a good-enough substitute for verifying them individually.

A visible reviews rating with a real count is a proxy for “this site actually sells things”. A visible returns policy link is a proxy for “I could get my money back if I needed to”. A visible trading identity or verification badge is a proxy for “there is a real company behind this”. What matters, for each of these, is that the signal is visible in the two-to-five-second scan window. Not that the shopper reads or clicks or verifies.

This has an uncomfortable implication for merchants. It means the seller-identity work is being done by whether an identity signal is visible, far more than by whether the shopper actually investigates. Sites with a strong identity signal near the buy button will earn trust from shoppers who would not, under any circumstances, actually click through to verify it. Sites without one will lose trust from those same shoppers for the same reason.

Why this makes verification signals so leveraged

If shoppers actually pursued the checks they claim to pursue, the value of a verification signal would be modest. It would just save them a click. But shoppers do not pursue those checks. What they do is scan for the presence of signals that make the pursuit unnecessary.

This is why the leverage of a well-placed verification signal is higher than the shopper survey data would suggest. It is doing the work of a check that will almost never actually be performed. The signal is not there to help the diligent shopper verify. It is there to reassure the far larger group of non-diligent shoppers that the diligent version could, if they wanted to.

What this means for how trust signals should be structured

The behavioural evidence collapses into three practical rules.

  1. Move trust signals up. Footer placement is almost always wasted. The header, the product-title band, and the area immediately around the buy button are where attention actually lands.
  2. Prioritise scannable presence over readable depth. Long trust copy in a paragraph is rarely read. A visible badge with a clear one-line label does more work than three sentences of explanation.
  3. Serve the proxy check. The signal is the reassurance. Design it so a shopper who never intended to verify can see, in two seconds, that verification exists and could be pursued.

Stated versus revealed is the reason merchants can spend a year commissioning better returns copy or improving their About page and see almost no lift in conversion. The shoppers were not reading the returns copy. They were not reading the About page. They were scanning for whether either visibly existed. The lift comes from placing that visibility in the small number of regions where the eye actually goes.

Methodology

Synthesis of published behavioural research on ecommerce shopper attention and trust-checking. Primary sources are the Baymard Institute eye-tracking and usability studies, Nielsen Norman Group scanning-pattern research, and consumer-trust survey series (Edelman Trust Barometer UK, Trustpilot State of Trust). Where survey data and behavioural data disagree, the report treats behavioural data as the primary evidence.

Sources

  1. Baymard Institute — E-commerce usability and eye-tracking researchOngoing large-scale ecommerce usability programme. Source for attention patterns and footer-engagement observations cited above.
  2. Nielsen, J. — “F-Shaped Pattern For Reading Web Content”Nielsen Norman Group, 2006 with subsequent updates. Foundational research on scanning patterns.
  3. Edelman Trust Barometer — UK datasetUsed for stated-trust survey context.
  4. Trustpilot — State of Trust in Online ReviewsTrustpilot’s periodic UK and global consumer surveys on online-review trust behaviour.

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