Full Answer

Every AI optimization algorithm — Meta's Advantage+, Google's Smart Bidding, or predictive lookalike audiences — works by recognizing which users, times, creatives, and signals correlate with conversions. These models need enough positive examples to distinguish real patterns from noise. When iOS 14.5 reduced Facebook's visible conversion data by up to 38%, ad performance dropped immediately — not because the algorithm changed, but because its training data shrank. Server-side tracking via Facebook CAPI and Google Enhanced Conversions restores this lost signal by sending events that browser pixels miss. Businesses with richer data histories unlock better AI performance: lookalike audiences built from 10,000 purchasers outperform those from 1,000. Data collected now, before AI tools are fully deployed, compounds in value — every event stored today is a training point for tomorrow's optimization.