Recent conversions
Show a real action with enough detail to establish relevance without exposing personal data.
Best near: signup and checkoutNotification patterns / Trust signals / Measurement
Make evidence visible at the moment of doubt.
A practical lab for recent activity, reviews, case studies, counters, feedback, and the context that makes proof credible.
Explore the pattern libraryRecent conversionsDuring the last 2 hours
LiveSpecific reviewRole, use case, and outcome included
5/5Active visitorsUseful only when the count is real
NowAnonymous praise is weak evidence.
Use proof relevant to the current decision.
Recency matters when products and prices move.
The format wall
The archive began with customizable website notifications. The new library studies where each format helps and where it becomes noise.
Show a real action with enough detail to establish relevance without exposing personal data.
Best near: signup and checkoutPair the quote with identity, situation, date, and a route to the original source.
Best near: comparison and pricingExplain the starting point, intervention, result, and limits instead of presenting a naked metric.
Best near: high-consideration offersUse real, meaningful activity windows. Large unsourced numbers often reduce trust.
Best near: active communitiesCollect a useful rating or answer after a meaningful interaction, not on arrival.
Best near: task completionExplain what a badge, policy, certification, or guarantee actually protects.
Best near: forms and paymentPlacement map
Relevant customer logos, audience counts, recognizable use cases.
Specific reviews, comparable examples, product evidence, case studies.
Policies, guarantees, verified ratings, current activity, secure payment cues.
Feedback collection, support outcomes, community signals, renewed proof.
Evidence before decoration
Social proof is most useful when it answers a real uncertainty: whether people like the visitor choose this product, whether the claim is current, and whether the evidence can be verified. A logo row or anonymous quote cannot do every job.
This lab breaks proof into practical formats, from recent-activity notifications and review snippets to case studies, live counters, feedback prompts, and trust signals. Each pattern is considered in context: where it belongs, what evidence it needs, and what outcome to measure.