广告预算分配与竞价策略优化指南：Google、Meta、TikTok等平台投放框架

ads-budget by agricidaniel/claude-ads

197 周安装量

1,700 GitHub Stars

GitHub

安装命令

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

数据分析营销广告

🇨🇳中文介绍

预算分配与竞价策略

流程

收集所有活跃平台的预算和绩效数据
阅读 ads/references/budget-allocation.md 了解分配框架
阅读 ads/references/bidding-strategies.md 了解策略决策树
阅读 ads/references/benchmarks.md 了解 CPC/CPA 基准
阅读 ads/references/scoring-system.md 了解健康度评分算法
评估预算分配、竞价策略和扩展准备情况
生成包含暂停列表和扩展列表的建议

预算分配框架

70/20/10 法则

70% 用于已验证渠道（持续达到 ROAS/CPA 目标）
20% 用于扩展渠道（表现有潜力，需要更多数据）
10% 用于测试渠道（新平台、受众、创意）

平台选择矩阵

业务类型	主要渠道

广告位招租

在这里展示您的产品或服务

触达数万 AI 开发者，精准高效

联系我们

预算充足性规则

平台	最低日预算	学习阶段预算
Google Search	$20/天	足以支撑每月 15+ 次转化
Google PMax	$50/天	足以支撑算法优化
Meta	$20/天/广告组	≥ 目标 CPA 的 5 倍/广告组
LinkedIn	$50/天（赞助内容）	每月 15+ 次转化
TikTok	$50/天（广告系列），$20/天（广告组）	≥ 目标 CPA 的 50 倍/广告组
Microsoft	无严格最低要求	足以支撑稳定投放

Google Ads 竞价决策树

Start
├─ <30 conversions/month?
│  └─ Use Maximize Clicks (cap CPC at benchmark)
│     └─ When >30 conv/month → Maximize Conversions
├─ 30-50 conversions/month?
│  └─ Use Maximize Conversions
│     └─ When stable CPA → Target CPA
├─ >50 conversions/month?
│  └─ Use Target CPA
│     └─ When revenue tracking → Target ROAS
└─ Revenue tracking active + >50 conv/month?
   └─ Use Target ROAS

最低费用（默认）：最适合放量，CPA 可能有波动
费用上限：设置 CPA 上限，可能减少量级
出价上限：每次拍卖的最高出价，控制力最强
ROAS 目标：目标广告支出回报率
CBO 与 ABO：CBO 用于已验证的广告系列，ABO 用于测试

每次发送费用：用于消息广告
最大投放量：用于赞助内容（推荐）
手动 CPC：用于严格的预算控制
目标费用：用于可预测的 CPA

最低费用：在预算内最大化转化次数（量级）
费用上限：设置最高 CPA（效率）
出价上限：每次展示的最高出价
学习阶段退出要求：每个广告组预算 ≥ CPA 的 50 倍

策略与 Google 类似，但出价低 20-35%
手动广告系列使用增强型 CPC
自动化广告系列使用目标 CPA / 目标 ROAS

准备就绪，可以扩展（绿灯）

CPA 持续低于目标超过 2 周
每周转化次数 ≥50（已退出学习阶段）
CTR 稳定或提升
ROAS 高于目标
无创意疲劳迹象

每次预算增加不得超过 20%：

第 1 周：$100/天 → $120/天
第 2 周：$120/天 → $144/天
第 3 周：$144/天 → $173/天
每次增加后监控 3-5 天，确保绩效稳定

垂直扩展：增加获胜广告系列的预算（遵循 20% 法则）
水平扩展：将获胜广告系列复制到新受众
平台扩展：在新平台增加预算
地域扩展：测试新市场/地区
形式扩展：在同一平台测试新广告格式

任何 CPA > 目标 3 倍的广告系列/广告组 → 标记为暂停
过去 14 天有花费但无转化的广告系列 → 标记为暂停
CTR 低于平台基准 50% 以上的创意 → 标记为创意淘汰

场景	所需数据	操作
CPA > 目标 3 倍	≥7 天数据，≥20 次点击	立即暂停
无转化	≥$100 花费或 ≥50 次点击	暂停并诊断
CTR < 基准的 50%	≥1,000 次展示	淘汰创意，测试新的
ROAS < 目标的 50%	≥14 天数据	预算减少 50% 或暂停

MER（营销效率比率）

MER = 总收入 / 总营销支出

评估所有平台的综合效率
目标 MER 因业务而异：根据利润率在 3 倍到 10 倍之间
使用 MER 评估整体健康状况，而不仅仅是单平台 ROAS
建议进行增量测试以提高 MER 准确性

预算与竞价评估

预算分配健康度

分配策略：    ████████░░  XX/100
竞价策略：    ██████████  XX/100
扩展准备度：  ███████░░░  XX/100
预算充足性：  █████░░░░░  XX/100

BUDGET-STRATEGY-REPORT.md — 完整的分配和竞价分析
当前与建议的预算分配对比（饼图数据）
各平台/广告系列的竞价策略建议
扩展列表：准备增加预算的广告系列
暂停列表：需要立即暂停的广告系列/广告组
MER 分析及趋势
可立即执行的预算优化方案

🇺🇸English

Budget Allocation & Bidding Strategy

Process

Collect budget and performance data across all active platforms
Read ads/references/budget-allocation.md for allocation framework
Read ads/references/bidding-strategies.md for strategy decision trees
Read ads/references/benchmarks.md for CPC/CPA benchmarks
Read ads/references/scoring-system.md for health score algorithm
Evaluate budget allocation, bidding strategy, and scaling readiness
Generate recommendations with kill list and scale list

Budget Allocation Framework

70/20/10 Rule

70% on proven channels (consistent ROAS/CPA targets met)
20% on scaling channels (showing promise, need more data)
10% on testing channels (new platforms, audiences, creatives)

Platform Selection Matrix

Business Type	Primary	Secondary	Testing
SaaS B2B	Google Search, LinkedIn	Meta, YouTube	TikTok, Microsoft
E-commerce	Google Shopping, Meta	TikTok, YouTube	Microsoft, LinkedIn
Local Service	Google Search, Google LSA	Meta	Microsoft, YouTube
B2B Enterprise	LinkedIn, Google Search	Meta	Microsoft, TikTok
Info Products	Meta, YouTube	Google Search	TikTok
Mobile App	Meta, Google UAC	TikTok	Apple Search Ads
Real Estate	Google Search, Meta	YouTube	Microsoft
Healthcare	Google Search	Meta	Microsoft, YouTube
Finance	Google Search, Meta

Budget Sufficiency Rules

Platform	Minimum Daily	Learning Phase Budget
Google Search	$20/day	Sufficient for 15+ conv/month
Google PMax	$50/day	Sufficient for algorithm optimization
Meta	$20/day per ad set	≥5x target CPA per ad set
LinkedIn	$50/day Sponsored Content	15+ conversions/month
TikTok	$50/day campaign, $20/day ad group	≥50x target CPA per ad group
Microsoft	No strict minimum	Sufficient for stable delivery

Bidding Strategy Evaluation

Google Ads Bidding Decision Tree

Start
├─ <30 conversions/month?
│  └─ Use Maximize Clicks (cap CPC at benchmark)
│     └─ When >30 conv/month → Maximize Conversions
├─ 30-50 conversions/month?
│  └─ Use Maximize Conversions
│     └─ When stable CPA → Target CPA
├─ >50 conversions/month?
│  └─ Use Target CPA
│     └─ When revenue tracking → Target ROAS
└─ Revenue tracking active + >50 conv/month?
   └─ Use Target ROAS

Meta Ads Bidding

Lowest Cost (default) : best for volume, may have CPA variance
Cost Cap : sets CPA ceiling, may reduce volume
Bid Cap : maximum bid per auction, most control
ROAS Goal : target return on ad spend
CBO vs ABO : CBO for proven campaigns, ABO for testing

LinkedIn Bidding

Cost Per Send (CPS) : for Message Ads
Maximum Delivery : for Sponsored Content (recommended)
Manual CPC : for tight budget control
Target Cost : for predictable CPA

TikTok Bidding

Lowest Cost : maximize conversions within budget (volume)
Cost Cap : set maximum CPA (efficiency)
Bid Cap : maximum bid per impression
Budget ≥50x CPA per ad group for learning phase exit

Microsoft Bidding

Mirror Google strategy but bid 20-35% lower
Enhanced CPC for manual campaigns
Target CPA / Target ROAS for automated

Scaling Assessment

Ready to Scale (Green Light)

CPA consistently below target for 2+ weeks
≥50 conversions per week (learning phase exited)
CTR stable or improving
ROAS above target
No creative fatigue signals

20% Rule

Never increase budget by more than 20% at a time:

Week 1: $100/day → $120/day
Week 2: $120/day → $144/day
Week 3: $144/day → $173/day
Monitor 3-5 days after each increase for performance stability

Scaling Methods

Vertical : increase budget on winning campaigns (20% rule)
Horizontal : duplicate winning campaigns to new audiences
Platform expansion : add budget on new platforms
Geographic expansion : test new markets/regions
Format expansion : test new ad formats on same platform

Kill List Assessment

3x Kill Rule

Any campaign/ad group with CPA >3x target → flag for pause
Review spend in last 14 days with no conversions → flag for pause
Creative with CTR >50% below platform benchmark → flag for creative kill

Kill Decision Framework

Scenario	Data Required	Action
CPA >3x target	≥7 days data, ≥20 clicks	Pause immediately
No conversions	≥$100 spend or ≥50 clicks	Pause and diagnose
CTR <50% of benchmark	≥1,000 impressions	Kill creative, test new
ROAS <50% of target	≥14 days data	Reduce budget 50% or pause

MER (Marketing Efficiency Ratio)

MER = Total Revenue / Total Marketing Spend

Assess blended efficiency across all platforms
Target MER varies by business: 3x-10x depending on margins
Use MER to evaluate overall health, not just per-platform ROAS
Incrementality testing recommended for MER accuracy

Output

Budget & Bidding Assessment

Budget Allocation Health

Allocation Strategy:  ████████░░  XX/100
Bidding Strategies:   ██████████  XX/100
Scaling Readiness:    ███████░░░  XX/100
Budget Sufficiency:   █████░░░░░  XX/100

Deliverables

BUDGET-STRATEGY-REPORT.md — Full allocation and bidding analysis
Current vs recommended budget split (pie chart data)
Bidding strategy recommendations per platform/campaign
Scale list: campaigns ready for more budget
Kill list: campaigns/ad groups to pause immediately
MER analysis and trend
Quick Wins for immediate budget optimization

Weekly Installs

Repository

agricidaniel/claude-ads

GitHub Stars

777

First Seen

Feb 16, 2026

Security Audits

Gen Agent Trust HubPass SocketPass SnykPass

Installed on

codex38

gemini-cli37

github-copilot37

cursor37

opencode37

amp36

DOCX文件创建、编辑与分析完整指南 - 使用docx-js、Pandoc和Python脚本

51,800 周安装