Social proof · Australia

Activity messages

Activity messages is a working label for this design mechanism: Claims about recent or current actions by other users are used to steer the decision, particularly where authenticity, timing or relevance is unsupported. This is editorial implementation guidance for Australian journeys, not a finding of unlawfulness. From 1 July 2027, a similar interface is relevant to ACL section 28B only if the complete consumer-connection, manipulation or unreasonable-distortion and actual-or-likely-detriment test is met. Current ACL rules require a separate assessment.

Editorial implementation guidance
Also known as
  • recent activity
  • live purchase notification
  • someone just bought
  • viewers right now
  • recent booking popup
  • location-based activity claim
Journey stages

Definition

What is this pattern?

Claims about recent or current actions by other users are used to steer the decision, particularly where authenticity, timing or relevance is unsupported. This is a design and research taxonomy for learning and evidence review, not a statutory offence label or an automatic finding that an interface is unlawful.

How it works

Claims about recent or current actions by other users are used to steer the decision, particularly where authenticity, timing or relevance is unsupported. Purported recent behaviour is used as live social evidence even though the event, person, count or period does not correspond to the represented activity.

Warning signs

  • The message describes actions by other people as current or recent.
  • It appears near a transactional choice or repeatedly interrupts it.
  • Provenance or freshness must be externally verified before alleging falsity.

Potential harms

  • Unsupported activity can create false confidence and urgency around the purchase.
  • A visitor may infer genuine recent participation and social confidence from activity that never occurred.

Learn by comparison

What does this look like?

These fictional examples make the design mechanism easier to recognise. They do not depict a real company and do not establish that an individual interface is unlawful.

Illustrative example 1 · Randomised recent-purchase notification

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

Potential consumer harm: Unsupported activity can create false confidence and urgency around the purchase.

Illustrative example 2 · Fabricated named signup notification

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

Potential consumer harm: A visitor may infer genuine recent participation and social confidence from activity that never occurred.

What is a fairer alternative?

Use accurate, auditable and appropriately time-bounded activity data and explain what the metric represents.

Context matters

Context and boundary cases

  • The message describes actions by other people as current or recent.
  • It appears near a transactional choice or repeatedly interrupts it.
  • Provenance or freshness must be externally verified before alleging falsity.
  • Boundary to test: Static aggregate popularity claim
  • Boundary to test: A named testimonial whose speaker, relationship and non-live character are clearly stated
  • Boundary to test: Verifiable operational status unrelated to persuasion
  • Boundary to test: A clearly historical activity figure whose period and non-live character are stated beside it

When a similar design can serve a legitimate purpose

  • Static aggregate popularity claim
  • A named testimonial whose speaker, relationship and non-live character are clearly stated
  • Verifiable operational status unrelated to persuasion
  • A clearly historical activity figure whose period and non-live character are stated beside it

Operational review

What teams should review

Teams
  • Product
  • Design
  • Engineering
  • Legal
  • Compliance
  1. Which source record substantiates “12 bought this hour”, including its population, period, metric and any commercial relationship?
  2. Record the claim, timestamp, data source and post-claim state; which evidence supports “The message describes actions by other people as current or recent”?
  3. Can the claim be reproduced from a defined population and period, or does the evidence instead fit “Static aggregate popularity claim”?
  4. Which source record substantiates “Mia from Berlin enrolled”, including its population, period, metric and any commercial relationship?
  5. Record the claim, timestamp, data source and post-claim state; which evidence supports “It appears near a transactional choice or repeatedly interrupts it”?
  6. Can the claim be reproduced from a defined population and period, or does the evidence instead fit “named testimonial”?

Evidence to retain

  • Annotated pricing screenshots at each responsive breakpoint
  • The complete state sequence before, during and after the consumer decision
  • Design-system component, content, default and configuration records for the reviewed release
  • Operational records substantiating price, availability, timing and eligibility claims
  • Usability, accessibility, reversal, complaint and support evidence relevant to consumer impact
  • A dated product and legal review record identifying evidence, uncertainties and release decisions

Legal map and implementation tools

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. Competition and Consumer Amendment (Unfair Trading Practices) Act 2026Federal Register of Legislation · Primary · checked 2026-09-14 · C2026A00064
  3. Competition and Consumer Act 2010, including Schedule 2: Australian Consumer LawFederal Register of Legislation · Primary · checked 2026-09-14 · C2004A00109
  4. Unfair trading tricks and traps to be bannedTreasury Ministers · Primary · checked 2026-09-14
  5. Inquiry into the Competition and Consumer Amendment (Unfair Trading Practices) Bill 2026Senate Economics Legislation Committee · Primary · checked 2026-08-09