Despite skepticism about recent large bets, Mark Zuckerberg has a proven track record of successfully navigating massive technological shifts. His history of beating MySpace, pivoting to mobile, acquiring Instagram, and launching Reels to counter TikTok demonstrates formidable strategic agility.

Previously, marketers told Meta who to target. With the new AI algorithm, marketers provide diverse creative, and the AI uses that creative to find the right audience. Targeting control has shifted from human to machine, fundamentally changing how ads are built and optimized.

Before becoming massive platforms, many successful companies started with a narrow focus. Instagram was for bourbon drinkers, Amazon for used books, and Facebook for Harvard students. This strategy built a loyal early user base and refined their product before expanding to a broader market.

The future of paid social lies beyond broad audience targeting. The next level of sophistication involves using identity data to dynamically adjust ad spend and frequency based on the specific value of an individual consumer and their stage in the journey. This means not all site visitors are treated equally in retargeting.

Meta's new "Value Rules" feature allows advertisers to set account-wide bid modifiers that are independent of ad-set targeting. This enables them to bid more for high-LTV customer segments and less for low-LTV ones, optimizing ad spend for long-term profitability over simple, immediate conversions.

Explicitly calling out your ideal customer in ad copy (e.g., "demand gen marketers") does more than grab their attention. It provides a clear signal to the ad platform's algorithm, helping it more effectively identify and serve your ad to the right people. If the consumer is confused, so is the algorithm.

Meta's core moat is its ability to solve the classic advertiser's dilemma: knowing which half of their ad spend works. By providing granular data on impressions, conversions, and ROI, it created what Pat Dorsey called the perfect advertising platform.

An 11-year Meta veteran explains that Facebook's ad value shifted from demographics to interest targeting, and now to a sophisticated AI. Today, the best strategy is often to remove granular targeting and let the system's machine learning find the right audience automatically.

Meta's ad recommendations excel because Apple's privacy changes created a do-or-die situation. This necessity forced them to pioneer GPU-based AI for ad targeting, a move competitors without the same pressure failed to make, despite having similar data and talent.