Meta Ads 深度分析与优化指南：46项审计检查、健康评分与EMQ提升策略

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安装命令

npx skills add https://github.com/agricidaniel/claude-ads --skill ads-meta

数据分析营销广告

🇨🇳中文介绍

Meta Ads 深度分析

流程

收集 Meta Ads 数据（广告管理工具导出、事件管理工具截图、EMQ 分数）
阅读 ads/references/meta-audit.md 以进行完整的 46 项检查审计
阅读 ads/references/benchmarks.md 获取 Meta 特定基准
阅读 ads/references/scoring-system.md 了解加权评分系统
将所有适用的检查项评估为 PASS（通过）、WARNING（警告）或 FAIL（失败）
计算 Meta Ads 健康分数（0-100）
生成包含行动计划的调查结果报告

分析内容

Pixel / CAPI 健康状况（权重 30%）

Meta Pixel 已安装并在所有页面上触发
转化 API（CAPI）处于活动状态（iOS 14.5 后，没有它会导致 30-40% 的数据丢失）
事件去重配置完成（event_id 匹配，去重率 ≥90%）
购买事件的 Event Match Quality（EMQ）≥8.0
所有标准事件已配置（ViewContent、AddToCart、Purchase、Lead）
为非标准事件创建了自定义转化
为 iOS 配置了聚合事件衡量（AEM）
域名验证已完成
服务器端事件包含 customer_information 参数
Pixel 触发时带有正确的货币和价值参数

创意（权重 30%）

有 ≥3 种创意格式处于活动状态（图片、视频、轮播图、商品系列）
每个广告组有 ≥5 个创意（Meta 推荐）
创意疲劳检测：14 天内 CTR 下降 >20% = FAIL
视频创意：Stories/Reels 最多 15 秒，Feed 最多 30 秒

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账户结构（权重 20%）

有意使用广告系列预算优化（CBO）与广告组预算（ABO）
广告系列整合：每种目标类型的活跃广告系列 ≤5 个
学习阶段健康状况：处于"学习受限"状态的广告组 <30%（>50% 为 FAIL）
每个广告组的预算：≥5 倍目标 CPA（退出学习阶段的最低要求）
广告组受众重叠 <30%（使用受众重叠工具）
广告系列命名规范一致且具有描述性
电子商务已启用 Advantage+ 购物广告系列（ASC）
简化的广告系列结构（优先选择更少、更大的广告组）

受众与定位（权重 20%）

潜在客户触达频次（7 天）：<3.0（WARNING 3-5，FAIL >5）
再营销频次（7 天）：<8.0（WARNING 8-12，FAIL >12）
自定义受众：网站访客、客户列表、互动用户
类似受众：测试了多种种子规模（1%、3%、5%）
已测试 Advantage+ 受众与手动定位
兴趣定位：足够宽泛以利于算法优化
排除项：已从潜在客户定位中排除购买者，管理重叠
已审查位置定位的相关性

如果使用了 Advantage+ 功能：

ASC（购物广告系列）：商品目录已连接，现有客户上限已设置
Advantage+ 受众：已与手动受众进行性能比较
Advantage+ 创意：已启用增强功能（文本、亮度、音乐）
Advantage+ 版位：已启用（让 Meta 优化版位组合）
预算分配：Advantage+ 广告系列获得了公平的测试预算

如果广告属于受限类别：

在创建广告系列前已声明特殊广告类别
已验证定位限制（无邮政编码，仅限 18-65+ 岁，无类似受众）
创意符合特定类别的政策
阅读 ads/references/compliance.md 了解完整要求

EMQ 分数	状态	行动
8.0-10.0	优秀	保持当前设置
6.0-7.9	良好	添加更多 customer_information 参数
4.0-5.9	一般	实施 CAPI，提高数据质量
<4.0	差	关键：需要 CAPI + 增强匹配

最大化 EMQ 的关键参数：

em（电子邮件）— 匹配率最高的信号
ph（电话）— 第二高的匹配信号
fn、ln（名/姓）— 提高匹配准确性
ct、st、zp（城市、州、邮政编码）— 地理匹配
external_id — 用于跨设备匹配的 CRM/用户 ID

指标	通过	警告	失败
EMQ（购买）	≥8.0	6.0-7.9	<6.0
去重率	≥90%	70-90%	<70%
CTR	≥1.0%	0.5-1.0%	<0.5%
创意格式	≥3	2	1
每个广告组的创意数	≥5	3-4	<3
学习受限	<30%	30-50%	>50%
每个广告组的预算	≥5x CPA	2-5x CPA	<2x CPA

Meta Ads 健康分数

Meta Ads 健康分数: XX/100 (等级: X)

Pixel / CAPI 健康状况: XX/100  ████████░░  (30%)
创意:            XX/100  ██████████  (30%)
账户结构:   XX/100  ███████░░░  (20%)
受众:            XX/100  █████░░░░░  (20%)

META-ADS-REPORT.md — 包含 pass/warning/fail 状态的完整 46 项检查结果
EMQ 改进路线图
创意疲劳警报（任何 CTR 下降 >20% 的创意）
按影响排序的快速见效方案
Advantage+ 采用建议

🇺🇸English

Meta Ads Deep Analysis

Process

Collect Meta Ads data (Ads Manager export, Events Manager screenshot, EMQ scores)
Read ads/references/meta-audit.md for full 46-check audit
Read ads/references/benchmarks.md for Meta-specific benchmarks
Read ads/references/scoring-system.md for weighted scoring
Evaluate all applicable checks as PASS, WARNING, or FAIL
Calculate Meta Ads Health Score (0-100)
Generate findings report with action plan

What to Analyze

Pixel / CAPI Health (30% weight)

Meta Pixel installed and firing on all pages
Conversions API (CAPI) active (30-40% data loss without it post-iOS 14.5)
Event deduplication configured (event_id matching, ≥90% dedup rate)
Event Match Quality (EMQ) ≥8.0 for Purchase event
All standard events configured (ViewContent, AddToCart, Purchase, Lead)
Custom conversions created for non-standard events
Aggregated Event Measurement (AEM) configured for iOS
Domain verification completed
Server-side events include customer_information parameters
Pixel fires with correct currency and value parameters

Creative (30% weight)

≥3 creative formats active (image, video, carousel, collection)
≥5 creatives per ad set (Meta recommendation)
Creative fatigue detection: CTR drop >20% over 14 days = FAIL
Video creative: 15s max for Stories/Reels, 30s max for Feed
UGC/testimonial creative tested
Dynamic Creative Optimization (DCO) tested
Ad copy: headline under 40 chars, primary text under 125 chars
Creative refresh cadence: every 2-4 weeks for high-spend

Account Structure (20% weight)

Campaign Budget Optimization (CBO) vs Ad Set Budget (ABO) intentional
Campaign consolidation: ≤5 active campaigns per objective type
Learning phase health: <30% ad sets in "Learning Limited" (FAIL >50%)
Budget per ad set: ≥5x target CPA (minimum for learning phase exit)
Ad set audience overlap <30% (Audience Overlap tool)
Campaign naming conventions consistent and descriptive
Advantage+ Shopping Campaigns (ASC) active for e-commerce
Simplified campaign structure (fewer, larger ad sets preferred)

Audience & Targeting (20% weight)

Prospecting frequency (7-day): <3.0 (WARNING 3-5, FAIL >5)
Retargeting frequency (7-day): <8.0 (WARNING 8-12, FAIL >12)
Custom Audiences: website visitors, customer lists, engagement
Lookalike Audiences: multiple seed sizes tested (1%, 3%, 5%)
Advantage+ Audience tested vs manual targeting
Interest targeting: broad enough for algorithm optimization
Exclusions: purchasers excluded from prospecting, overlap managed
Location targeting reviewed for relevance

Advantage+ Assessment

If Advantage+ features are in use:

ASC (Shopping Campaigns) : catalog connected, existing customer cap set
Advantage+ Audience : performance vs manual audience compared
Advantage+ Creative : enhancements enabled (text, brightness, music)
Advantage+ Placements : enabled (let Meta optimize placement mix)
Budget allocation : Advantage+ campaigns getting fair test budget

Special Ad Categories

If ads are in restricted categories:

Special Ad Category declared before campaign creation
Targeting restrictions verified (no ZIP, age 18-65+ only, no Lookalike)
Creative compliance with category-specific policies
Read ads/references/compliance.md for full requirements

EMQ Optimization Guide

EMQ Score	Status	Action
8.0-10.0	Excellent	Maintain current setup
6.0-7.9	Good	Add more customer_information parameters
4.0-5.9	Fair	Implement CAPI, improve data quality
<4.0	Poor	Critical: CAPI + Enhanced Matching required

Key parameters to maximize EMQ:

em (email) — highest match rate signal
ph (phone) — second highest match signal
fn, ln (first/last name) — improves match accuracy
ct, st, zp (city, state, zip) — geographic matching
external_id — CRM/user ID for cross-device matching

Key Thresholds

Metric	Pass	Warning	Fail
EMQ (Purchase)	≥8.0	6.0-7.9	<6.0
Dedup rate	≥90%	70-90%	<70%
CTR	≥1.0%	0.5-1.0%	<0.5%
Creative formats	≥3	2	1
Creatives per ad set	≥5	3-4	<3
Learning Limited	<30%	30-50%	>50%
Budget per ad set	≥5x CPA	2-5x CPA	<2x CPA

Output

Meta Ads Health Score

Meta Ads Health Score: XX/100 (Grade: X)

Pixel / CAPI Health: XX/100  ████████░░  (30%)
Creative:            XX/100  ██████████  (30%)
Account Structure:   XX/100  ███████░░░  (20%)
Audience:            XX/100  █████░░░░░  (20%)

Deliverables

META-ADS-REPORT.md — Full 46-check findings with pass/warning/fail
EMQ improvement roadmap
Creative fatigue alerts (any creative with CTR declining >20%)
Quick Wins sorted by impact
Advantage+ adoption recommendations

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Repository

agricidaniel/claude-ads

GitHub Stars

815

First Seen

Feb 16, 2026

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