CASE01
Trust Signals
Evidence board / 2026
7documented examplesTrust Signals
Reviews, activity signals, policies, credentials, guarantees, and technical patterns that help people verify a claim.
CASE02
Trust Signals
Social Proof on Landing Pages: Placement and Testing
Use landing-page social proof as evidence, not decoration. Match proof to the adjacent claim, preserve attribution, choose the right format, and isolate variables in tests.CASE03
Trust Signals
Social Proof for Ecommerce: Product, Cart, and Checkout
Place ecommerce social proof according to the buyer question at each stage. Keep reviews attributable, ratings scoped, checkout protections accurate, and UGC permissioned.CASE04
Trust Signals
User-Generated Content Examples: Formats and Placement
Use customer photos, videos, Q&A, and community posts where they answer a real buyer question. Keep permissions, attribution, and material-connection disclosures attached.CASE05
Trust Signals
Social Proof Examples: 18 Patterns and Where to Place Them
A practical library of reviews, activity signals, customer evidence, and assurance patterns organized by the question a visitor needs answered.CASE06
Trust Signals
Trust Signals for Websites: A Page-by-Page Checklist
Choose trust signals by visitor risk and page purpose, then verify that policies, identity, reviews, security cues, and claims actually support the decision.CASE07
Trust Signals
Social Proof Notifications: Patterns, Ethics, and an A/B Test Plan
Design recent-activity and popularity notifications that use real events, protect privacy, remain dismissible, and can be measured without invented urgency.Choosing trust signals that hold up to scrutiny
A trust signal only works if a visitor can verify it — a vague "trusted by thousands" claim does less than a specific, checkable one. This section catalogs social proof and trust-signal patterns page by page, covers the ethics and testing of real-time activity notifications, and looks at how user-generated content can support a claim without becoming unmoderated noise.
- Choosing specific, checkable trust signals over vague claims
- Placing the right signal at the right point on the page
- Testing activity notifications without resorting to deceptive urgency
- Moderating user-generated content while keeping it credible