Stop overcomplicating ad sets with dozens of interests. The Meta Ads algorithm is now advanced enough that broad targeting (e.g., country, age bracket) allows it to find the right audience more effectively and often at a lower cost.

Ben Thompson argues AI apps should adopt a Meta-style advertising model based on deep user understanding, rather than Google-style contextual ads tied to prompts. This avoids conflicts of interest and surfaces products users didn't know they needed, creating more value for both users and advertisers.

For new brands, directly allocating advertising budgets to platforms like Meta can yield a better return than hiring traditional ad agencies. These platforms' powerful algorithms and reach can develop more effective campaigns than human-led creative teams, democratizing access to high-quality advertising.

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.

Meta's ad algorithm now functions like TikTok's feed. What you say and show in your creative directly dictates who sees the ad. Generic, broad creative is ineffective; you must speak directly to a specific avatar's problems and position your product as the unique solution.

The era of granular audience targeting (lookalikes, interests) is over. IM8 lets the creative do the targeting. An ad featuring a tennis star will naturally attract tennis fans, and an ad about cooking will find that audience. Meta's AI optimizes delivery based on engagement with the creative itself, making audience selection obsolete.

With Meta automating ad delivery and targeting via Advantage+, marketers gain a competitive edge by focusing on compelling ad creative and strong offers, rather than by tweaking technical campaign settings.

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.

A new Marketing API feature allows Meta's AI to allocate up to 5% of ad spend to placements explicitly excluded by an advertiser. This signifies a major shift towards autonomous campaigns, reflecting Meta's confidence that its system can identify performance opportunities even in channels that human advertisers have ruled out.