How Agent-Based Modeling Predicts Your Next Viral Campaign
Consumer trends don’t spread uniformly across markets—they ripple through networks of influence, following patterns that traditional analytics often miss. Agent-based modeling (ABM) changes this by simulating how individual consumers interact, make decisions, and influence each other, creating a digital laboratory where you can test marketing strategies before spending a dollar on campaigns.
Think of ABM as creating thousands of virtual customers, each with distinct preferences, social connections, and behaviors. These digital agents interact just like real consumers—sharing recommendations, responding to advertising, and …