Individual HTML example · Social proof

“Most popular” has no defined metric

A fictional service labels its highest-margin plan “Most popular” without recording sales, selection period or the population being measured.

Popularity claimsSubscription plansPricing

This is an original fictional comparison. It depicts no real company and is not a legal finding or safe harbour.

Subscription plansPricing

“Most popular” has no defined metric

A fictional service labels its highest-margin plan “Most popular” without recording sales, selection period or the population being measured.

Potentially problematicMost popular

Most popular. No population, period or selection measure supports the badge.. Choose Pro. Compare Pro features

Neutral alternativePlan comparison

Plan comparison. Feature and price differences replace the unsupported popularity cue.. Compare Pro features. Choose Pro. Price, period and commitment, expanded: The price and material terms associated with “Compare Pro features” remain beside this choice.

Why the first version can mislead: The interface asks the user to rely on other people’s behaviour or approval. The cue “Choose Pro” has persuasive meaning only if its population, period, metric and relationship match the represented claim. The panel instead says: “No population, period or selection measure supports the badge.” The badge may steer users using an unsupported impression of collective preference.

What a fairer design does: Use the claim only with a defined, current and supportable metric, or use a factual feature label instead.

Show annotated differences (2)
Potentially problematic version
  • Compare Pro featuresIn ““Most popular” has no defined metric”, this element shows how popularity claims can shape the decision.
Neutral alternative
  • Price, period and commitment, expanded: The price and material terms associated with “Compare Pro features” remain beside this choice.In ““Most popular” has no defined metric”, this element keeps the clearer alternative visible at the same decision point.
Review questions (3)
  • Which source record substantiates “Choose Pro”, including its population, period, metric and any commercial relationship?
  • Place the compared prices, billing periods and material terms on one evidence sheet; where does it support “The claim asserts relative or aggregate popularity”?
  • Can the claim be reproduced from a defined population and period, or does the evidence instead fit “Individual testimonial”?
Side-by-side subscription plans interface showing “Most popular” and the clearer alternative “Plan comparison”.Provenance: Original hypothetical subscription plans example created for this library; no real business, product or interface is depicted.

Complete pattern context

How this example relates to Popularity claims

Aggregate popularity or approval is presented to steer a choice where the metric, population, period or basis is unclear or unsupported. The label describes a recurring design mechanism; whether a particular implementation is harmful or unlawful depends on the complete journey, audience, evidence and rules within scope.

The full guide explains inclusion and exclusion criteria, harms, fair design principles, evidence questions and the relevant EU legal information layers. The example page isolates one scenario so it can be shared and discussed without reproducing the complete library on one page.

Continue comparing

Popularity claims

Bestseller badge follows margin rather than sales

Marketplace resultsPricing

A fictional marketplace assigns “Bestseller” to whichever item yields the highest commission, regardless of units sold.

Open this example

Activity messages

Randomised recent-purchase notification

Product pagePricing

A fictional store displays “12 people bought this in the last hour” using a random number unrelated to completed orders.

Open this example

Activity messages

Fabricated named signup notification

Course landing pagePricing

A fictional course page rotates messages such as “Mia from Berlin just enrolled” using invented names and locations rather than completed enrolments.

Open this example
Sources and provenance for this example

Evidence base

Sources

  1. Dark commercial patternsOrganisation for Economic Co-operation and Development · Secondary · checked 2026-09-14 · OECD Digital Economy Papers No. 336
  2. Unfair Commercial Practices DirectiveEuropean Parliament and Council of the European Union · Primary · checked 2026-08-09 · Directive 2005/29/EC; CELEX 02005L0029-20220528