Every Change You Make Should Solve a Problem

Why It Matters

Ensuring each ad tweak addresses a real, data‑backed problem prevents wasted spend and improves campaign efficiency, directly impacting ROI.

Key Takeaways

• Question every ad change: what problem does it solve?
• Avoid splitting budgets; it dilutes data and performance.
• Base demographic restrictions on data, not assumptions alone.
• Use value rules before removing placements entirely from campaigns.
• Apply complexity only when it addresses a proven performance issue.

Summary

John Loomer stresses that every Meta ad change must solve a specific problem, warning against habit‑driven tweaks.

He illustrates how over‑segmenting campaigns, unnecessary demographic filters, and manual bidding fragment budgets, produce low‑quality data and auction overlap, ultimately hurting ROAS.

Loomer cites examples—five‑ad‑set structures, age restrictions, and placement removals—showing that many decisions stem from “feelings” rather than data, and recommends value‑based bidding rules as a smarter alternative.

By anchoring changes to measurable issues, advertisers can streamline spend, improve data integrity, and boost conversion performance, a critical edge in the competitive Meta ecosystem.

Original Description

Advertisers love restricting demographics, removing placements, and splitting budgets across ad sets, but most of these decisions are based on feelings rather than data. Jon explains why every change that adds complexity should be tied to a specific measurable problem, why Meta's algorithm already handles most of what advertisers try to control, and why value rules should be your first move before restricting anything entirely.