🧪 Social Media Social Media Analytics Simulation

This simulation models what a real social-media analytics dashboard tracks: how a single post's reach evolves after publishing. A post's organic impression rate decays exponentially as the feed algorithm deprioritizes it, while every engagement carries a chance of being shared — and shares reopen the funnel to new audiences, creating a secondary "viral pool" that feeds back into the impression rate. Tune follower count, content quality, posting time and audience reach per share to see how the classic K-factor virality coefficient (shares × reach × conversion) determines whether a post's growth loop dies out quietly or compounds into a viral spike, with live impressions, unique reach, engagement rate and share counts updating in real time alongside a 3D bar chart of the predicted 24-hour decay curve.