meta-ads-analyzer

Analyzes Meta Ads campaign performance and diagnoses issues using official metric definitions.

Updated Sep 16, 2026
One-click install
npx skills add https://github.com/Military-Veteran-Team-LPT-Realty/mvt-manus-public-skills --skill meta-ads-analyzer-military-veteran-team-lpt-realty
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meta-ads-analyzer
Source: https://github.com/Military-Veteran-Team-LPT-Realty/mvt-manus-public-skills/tree/main/skills/meta-ads-analyzer
Command: npx skills add https://github.com/Military-Veteran-Team-LPT-Realty/mvt-manus-public-skills --skill meta-ads-analyzer-military-veteran-team-lpt-realty

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Meta Ads reporting is full of traps: ambiguous metric names, account-versus-campaign scope confusion, null values, and misread breakdowns that lead to wrong budget decisions. This Skill enforces Meta's official terminology and data integrity rules so every analysis, report, or recommendation is accurate and policy-compliant. ## Core Features & Use Cases - Performance diagnosis: Interpret campaign, ad set, and ad data using marginal-cost reasoning, learning phase status, and ad relevance diagnostics instead of misleading average-CPA judgments. - Metric and terminology enforcement: Always resolve exact standardized metric names via the meta marketing tool, use "Accounts Center accounts" for reach, and distinguish "Clicks (all)" from "Link clicks". - Data integrity guardrails: Handle null values as "N/A", flag partial-day data, respect currency fields, and never fabricate numbers. - Use Case: Ask why a campaign's CPA rose last week, and receive a breakdown-effect-aware analysis that checks learning phase status, auction overlap, and relevance rankings before recommending any budget change. ## Quick Start Analyze my Meta Ads campaign performance for the last 30 days and explain why cost per result increased.

Frequently Asked Questions about meta-ads-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze Meta Ads campaign performance correctly?

Analyze Meta Ads performance at the campaign level for CBO and ad set level otherwise, then evaluate trends over time rather than single snapshots. Always resolve exact metric names with the meta marketing tool and consider marginal cost, learning phase status, and relevance diagnostics before drawing conclusions.

What is the breakdown effect in Meta Ads reporting?

The breakdown effect is the misreading of Meta's budget shifts as funding underperforming segments. The system optimizes for marginal efficiency, so a segment with higher average CPA may still protect overall campaign efficiency; never judge decisions by average CPA alone.

Why must I say Accounts Center accounts instead of people in Meta Ads reports?

Meta's legal and policy requirements mandate the exact phrase "Accounts Center accounts" when describing reach or audiences. Terms like "people", "person", or "unique users" are forbidden, and Reach must be used as a standalone metric name without modifiers.

How should null or missing Meta Ads metrics be handled in reports?

Display "Data not available" or "N/A" when the API returns null, and never fabricate or estimate values. When aggregating across campaigns with mixed objectives, show "N/A" for Cost per result and Results instead of computing them.

Can this skill answer Meta Ads policy questions directly?

No. For policy questions it calls the meta marketing policy tool and returns only the official Meta Advertising Standards URLs with a brief redirect message. It never interprets, summarizes, or paraphrases policy content.

Why did my Meta ad set performance suddenly become unstable?

Instability usually comes from the learning phase, which lasts until roughly 50 optimization events occur within 7 days, or from significant edits that reset learning. Other causes include audience saturation, auction overlap, creative fatigue, and seasonality.