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Meta Ads Deep Analysis

Meta Ads深度分析

Process

流程

  1. Collect Meta Ads data (Ads Manager export, Events Manager screenshot, EMQ scores)
  2. Read 
    ads/references/meta-audit.md
    for full 46-check audit
  3. Read 
    ads/references/benchmarks.md
    for Meta-specific benchmarks
  4. Read 
    ads/references/scoring-system.md
    for weighted scoring
  5. Evaluate all applicable checks as PASS, WARNING, or FAIL
  6. Calculate Meta Ads Health Score (0-100)
  7. Generate findings report with action plan
  1. 收集Meta Ads数据（Ads Manager导出数据、Events Manager截图、EMQ分数）
  2. 阅读
    ads/references/meta-audit.md
    获取完整的46项检查清单
  3. 阅读
    ads/references/benchmarks.md
    查看Meta专属基准指标
  4. 阅读
    ads/references/scoring-system.md
    了解加权评分规则
  5. 将所有适用的检查项评估为PASS（通过）、WARNING（警告）或FAIL（失败）
  6. 计算Meta Ads健康分数（0-100分）
  7. 生成包含行动计划的检测报告

What to Analyze

分析维度

Pixel / CAPI Health (30% weight)

Pixel / CAPI健康度（权重30%）

  • 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
  • Meta Pixel已安装并在所有页面正常触发
  • Conversions API（CAPI）已启用（iOS 14.5之后，未启用会导致30-40%的数据丢失）
  • 已配置事件去重（event_id匹配，去重率≥90%）
  • Purchase事件的Event Match Quality（EMQ）分数≥8.0
  • 已配置所有标准事件（ViewContent、AddToCart、Purchase、Lead）
  • 已为非标准事件创建自定义转化目标
  • 已为iOS配置Aggregated Event Measurement（AEM）
  • 已完成域名验证
  • 服务器端事件包含customer_information参数
  • Pixel触发时携带正确的货币与价值参数

Creative (30% weight)

创意素材（权重30%）

  • ≥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
  • 启用≥3种创意格式（图片、视频、轮播图、集合广告）
  • 每个广告组包含≥5个创意素材（Meta推荐标准）
  • 创意疲劳检测：14天内CTR下降超过20% = 不合格
  • 视频创意：Stories/Reels最长15秒，Feed最长30秒
  • 已测试UGC/客户证言类创意
  • 已测试Dynamic Creative Optimization（DCO）
  • 广告文案：标题不超过40字符，主文案不超过125字符
  • 创意素材更新频率：高预算广告每2-4周更新一次

Account Structure (20% weight)

账户结构（权重20%）

  • 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)
  • 有意选择Campaign Budget Optimization（CBO）或Ad Set Budget（ABO）
  • 活动整合：每个目标类型下的活跃活动≤5个
  • 学习阶段健康度：处于“学习受限”状态的广告组占比<30%（占比>50%则不合格）
  • 每个广告组的预算≥目标CPA的5倍（达到学习阶段退出的最低要求）
  • 广告组受众重叠率<30%（使用Audience Overlap工具检测）
  • 活动命名规则一致且描述清晰
  • 电商类已启用Advantage+ Shopping Campaigns（ASC）
  • 简化活动结构（优先选择数量少、规模大的广告组）

Audience & Targeting (20% weight)

受众与定向（权重20%）

  • 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
  • 潜在客户触达频率（7天）：<3.0（3-5为警告，>5为不合格）
  • 再营销触达频率（7天）：<8.0（8-12为警告，>12为不合格）
  • 自定义受众：网站访客、客户列表、互动用户
  • 相似受众：已测试多种种子受众规模（1%、3%、5%）
  • 已对比Advantage+受众与手动定向的表现
  • 兴趣定向范围足够宽泛，便于算法优化
  • 排除规则：潜在客户定向排除已购买用户，受众重叠已管控
  • 已审核地域定向的相关性

Advantage+ Assessment

Advantage+评估

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
若使用了Advantage+功能：
  • ASC（购物活动）：已关联商品目录，已设置老客户上限
  • Advantage+受众：已对比与手动受众的表现
  • Advantage+创意：已启用增强功能（文案、亮度、音乐）
  • Advantage+版位：已启用（让Meta优化版位组合）
  • 预算分配：Advantage+活动获得合理的测试预算

Special Ad Categories

特殊广告类别

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
若广告属于受限类别：
  • 活动创建前已声明特殊广告类别
  • 已验证定向限制（无邮编定向、仅18-65+年龄、无相似受众）
  • 创意素材符合类别专属政策
  • 阅读
    ads/references/compliance.md
    获取完整要求

EMQ Optimization Guide

EMQ优化指南

EMQ ScoreStatusAction
8.0-10.0ExcellentMaintain current setup
6.0-7.9GoodAdd more customer_information parameters
4.0-5.9FairImplement CAPI, improve data quality
<4.0PoorCritical: 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
EMQ分数状态行动
8.0-10.0优秀维持当前设置
6.0-7.9良好添加更多customer_information参数
4.0-5.9一般部署CAPI，提升数据质量
<4.0较差紧急：需启用CAPI+增强匹配
提升EMQ的关键参数：
  • em
    （邮箱）——匹配率最高的信号
  • ph
    （电话）——匹配率第二高的信号
  • fn
    , 
    ln
    （名/姓）——提升匹配准确率
  • ct
    , 
    st
    , 
    zp
    （城市、州、邮编）——地理匹配
  • external_id
    ——用于跨设备匹配的CRM/用户ID

Key Thresholds

关键阈值

MetricPassWarningFail
EMQ (Purchase)≥8.06.0-7.9<6.0
Dedup rate≥90%70-90%<70%
CTR≥1.0%0.5-1.0%<0.5%
Creative formats≥321
Creatives per ad set≥53-4<3
Learning Limited<30%30-50%>50%
Budget per ad set≥5x CPA2-5x CPA<2x CPA
指标通过警告不合格
EMQ（Purchase事件）≥8.06.0-7.9<6.0
去重率≥90%70-90%<70%
CTR≥1.0%0.5-1.0%<0.5%
创意格式数量≥321
每个广告组的创意数量≥53-4<3
学习受限占比<30%30-50%>50%
广告组预算≥5倍CPA2-5倍CPA<2倍CPA

Output

输出结果

Meta Ads Health Score

Meta Ads健康分数

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%)
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

交付物

  • 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
  • META-ADS-REPORT.md
    — 包含所有46项检查结果（通过/警告/不合格）的完整报告
  • EMQ优化路线图
  • 创意疲劳预警（任何CTR下降超过20%的创意）
  • 按影响排序的快速优化方案
  • Advantage+功能采用建议