Traditional targeting — age, gender, location, manual interests, basic retargeting — is broad, assumption-driven, and blind to why someone acted. AI improves on it by processing behavioral signals at scale, finding non-obvious patterns that predict outcomes, forecasting future intent rather than only reading past behavior, and adjusting audiences in real time. Specifically, it weighs signals like problem-solving searches, review-site visits, and cart activity to find users actively in a buying cycle; matches behavioral sequences that correlate with conversion; applies NLP to public conversation to infer values and lifestyle; and models your best existing customers to find close matches who haven’t yet touched your brand. The human still sets the goals, supplies the creative, and draws the ethical lines.
Full guide → AI for Social Media Advertising
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