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Social Proof Cascade in Live Commerce

Interactive 3D model of a live-shopping stream: a purchase-notification cascade spreads across a viewer network driven by social proof, influencer reach and shrinking-stock scarcity urgency, with live conversion-rate and cascade-depth readouts.

Networks & Graph Theory3DModerate60 FPS📱 Mobile-adapted⇄ 2D version

A live-shopping stream is modelled as a network of 140 viewers orbiting a central influencer node. Each frame, unbought viewers are tested against a logistic purchase-probability function built from three real drivers of social commerce: direct influencer reach, social proof from already-purchasing neighbours in the viewer graph, and scarcity urgency as a fixed stock pool depletes. Watch purchase notifications ripple outward from directly-reached viewers into their neighbourhoods — a real information cascade, not a scripted animation — while conversion rate, cascade depth and the direct-vs-social-proof purchase split update live. Tune influencer reach, social-proof weight, scarcity weight and initial stock to see how each lever reshapes the sellout curve.

⚙ Under the hood

An interactive 3D model of a live-shopping stream: a purchase-notification cascade spreads across a 140-viewer graph driven by influencer reach, social proof from purchasing neighbours, and scarcity urgency as a fixed stock pool depletes — with live conversion rate and cascade-depth readouts.

social commercelive shoppingnetwork cascadesocial proofscarcityconversion

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install