Meta's algorithm learns from who engages with your ad. By designing creative that speaks directly and specifically to your ideal customer, you are effectively telling the algorithm who to target.

Go beyond basic ICPs. Create dynamic audience profiles for your AI that detail jobs-to-be-done, specific pain points, a 'vocabulary library' of words they use, and their 'emotional register' to ensure content resonates on a deeper level.

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.

Acknowledging that "relevance" is subjective shouldn't lead to creating generic, one-size-fits-all campaigns. Instead, it demands a high-volume creative strategy that produces dozens of distinct assets, each tailored to be hyper-relevant to a specific consumer segment or "demand state."

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.

A key litmus test for genuine ABM is moving beyond abstract personas to identifying and targeting specific, named individuals within an account. This focus on real people, not roles, is what drives deep personalization and relationship-building.

The reason a customer "needs" your product is subjective. Instead of a one-size-fits-all ad, create multiple versions that speak to different core buyer motivations. One ad might appeal to logic and data, another to time savings, and a third to team efficiency, ensuring you resonate with a broader audience.

Brands must adapt messaging for different buyer personas, even for the same product. Just as Netflix customizes thumbnails to appeal to varied viewer preferences (e.g., focusing on a male vs. female lead), businesses should highlight different benefits to resonate with distinct customer motivations.

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.