Signal quality, creative fatigue, audience overlap, and structure — diagnosed on your Meta account.
Audit our Meta account for the last 60 days. Check signal quality and tell me if creative is fatiguing.
Signal is the root cause: no Conversions API and a 4.2 match quality score means delivery optimizes on partial data. Fix that before touching creative. Then retire the three fatigued creatives and merge the two 63%-overlapping ad sets so learning can finish.
A Facebook Ads audit template has to start where Meta performance actually breaks: signal quality. This audit checks Pixel and Conversions API event integrity first, then creative fatigue, audience overlap, and structure — because on Meta a clean signal and fresh creative outrank almost every structural tweak.
A checklist for the things that decide Meta efficiency: event coverage and match quality, creative volume and fatigue, audience construction and overlap, campaign consolidation, placement performance, and the accuracy of the conversions you are optimizing toward.
Because Meta delivery is only as good as the events it learns from. Missing Conversions API coverage, poor match quality from thin customer parameters, or duplicated events degrade optimization directly — and no amount of structural tidying compensates for a weak signal.
By tracking frequency alongside the decay curve of click-through and cost per result per creative. Fatigue shows as rising frequency with falling engagement at stable spend, and the audit names which creatives are past the point where more budget helps.
Overlapping ad sets bid against each other and fragment learning. The audit measures overlap between audiences, flags redundant ad sets, and recommends consolidation so a single ad set accumulates enough conversions to exit the learning phase.
The agent reads your Meta ad account for campaign, ad set, creative, and placement performance, inspects Events Manager for coverage and match quality, and checks GA4 or your analytics for the post-click reality. Findings arrive with spend at risk attached; anything that would change delivery waits on your approval.
Read access to the ad account and Events Manager, plus the date range to audit.
Tell the agent which event represents real value so it can judge whether delivery targets it.
Signal quality first, creative fatigue second, structure and audiences third.
Findings arrive with spend at risk; approve consolidations and creative retirements you agree with.
Audits signal quality before structure, matching how Meta actually optimizes
Detects fatigue from frequency and decay curves, not gut feel
Quantifies audience overlap instead of assuming it
Recommends consolidation with the learning phase in mind
Event coverage and match quality, creative volume and fatigue, audience overlap and construction, campaign consolidation, placement performance, budget distribution, and whether the optimization event reflects real business value.
Retire creatives whose cost per result has been climbing at rising frequency, and replace them with new concepts rather than new crops of the same one. The audit distinguishes concepts worth iterating from concepts that are finished.
It sends conversion events server-side, which recovers signal lost to browser restrictions and improves match quality. Weak coverage means Meta optimizes toward an incomplete picture, and the delivery cost of that is real.
Few enough that each accumulates conversions quickly. Fragmenting budget across many overlapping ad sets keeps all of them in the learning phase, which is the most common structural error the audit finds.