Social media has evolved into 'interest media.' The algorithm is so effective that the content itself—the words you use, your background, your appearance—is the primary targeting mechanism. Instead of chasing broad appeal, create content specifically for your ideal avatar, and the platform will find them for you.

Generic demographic targeting like '18-35 year olds' is ineffective. Instead, develop 30-40 hyper-specific consumer segments based on unique motivations, such as 'a 25-year-old male using wine for dating.' This niche approach makes creative more resonant, helping algorithms find the ideal audience.

Social media has shifted from 'social' to 'interest' media, where the algorithm targets users based on the content they consume. Making hyper-specific content for your target audience is the most effective form of targeting. Resist making broad content for vanity metrics, as it won't reach qualified buyers.

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.

Instead of testing individual ad variations, advertisers can use the "Dynamic Creative" (for leads) or "Flexible Creative" (for sales) toggles. This allows combining multiple top-performing images, videos, headlines, and text into a single ad unit, which Meta’s algorithm then mixes and matches to find the optimal combination for different users.

With Meta's Andromeda algorithm automating audience targeting, the primary reason for poor ad performance is no longer incorrect targeting settings. Wasted money is now almost exclusively a result of insufficient or non-diverse creative, making creative strategy the most critical component of a successful campaign.

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.

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.

Stop creating broad content to chase views. Algorithms are so effective that creating hyper-specific content for your ideal customer is the most efficient way to reach them. The content itself is now the targeting mechanism.