How I Actually Approach Targeting in 2026

Why It Matters

By abandoning outdated targeting layers, advertisers can rely on Meta’s AI to deliver efficient, lower‑cost conversions, freeing resources for creative optimization and strategic growth.

Key Takeaways

• Skip Meta’s audience suggestions; they add no measurable value.
• Avoid age/gender restrictions; use value rules for demographic issues.
• Drop detailed targeting and lookalikes; algorithm now handles relevance.
• Rely on automatic remarketing; isolate custom audiences only rarely.
• Limit targeting to country groups and necessary exclusions for efficiency.

Summary

John Loomer outlines a radically hands‑off approach to Meta advertising in 2026, arguing that the era of granular audience controls is over. He dismisses Meta’s audience‑suggestion tool, age and gender filters, detailed targeting, and look‑alike audiences, insisting that the platform’s real‑time data now automates most of the work.

The core of his strategy is simple: target only by country clusters, apply value‑rule adjustments when a demographic segment underperforms, and let Meta’s algorithm allocate budget to remarketing automatically. He notes that roughly 20‑25% of spend already goes to remarketing without explicit audience lists, and he only isolates custom audiences in rare, high‑value cases. Exclusions are used sparingly to avoid showing ads to recent purchasers.

Loomer emphasizes that obsessing over targeting can actually hurt performance, quoting, “Your targeting strategy is not the key to your advertising success.” He backs his claims with breakdown data showing natural audience segmentation and promotes a free mini‑course and a paid community where advertisers can discuss these tactics.

For marketers, the implication is clear: shift focus from micromanaging audience parameters to trusting Meta’s machine learning, while monitoring spend through simple location and exclusion settings. This reduces operational overhead, minimizes wasted impressions, and lets creative and budget decisions drive results.

Original Description

Most advertisers obsess over targeting inputs that either do nothing or actively hurt results. Jon explains why he ignores audience suggestions, age restrictions, detailed targeting, and lookalikes entirely, how he uses value rules to handle demographic problems instead, and why the only inputs worth touching are locations and exclusions.