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ads-budget广告预算

Agent Skill

ads-budget 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ads-budget(广告预算)
来源仓库:https://github.com/agricidaniel/claude-ads
仓库路径:skills/ads-budget
安装命令:
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-budget
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

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

简介

用于优化广告预算分配与出价策略,基于历史表现数据提供增投或暂停建议。

  • 采用 70/20/10 分配框架,结合 CPC/CPA 基准与健康评分判断渠道优先级。
  • 需输入至少 14 天的花费数据,确保 kill/scale 决策有足够统计支撑。
  • 安装命令为 npx skills add https://github.com/agricidaniel/claude-ads --skill ads-budget,建议核验数据周期与平台覆盖完整性。
  • ads-budget 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Budget Allocation & Bidding Strategy

Process

  1. Collect budget and performance data across all active platforms
  2. Read ads/references/budget-allocation.md for allocation framework
  3. Read ads/references/bidding-strategies.md for strategy decision trees
  4. Read ads/references/benchmarks.md for CPC/CPA benchmarks
  5. Read ads/references/scoring-system.md for health score algorithm
  6. Validate: confirm spend data covers ≥14 days before evaluating kill/scale decisions
  7. Evaluate budget allocation, bidding strategy, and scaling readiness
  8. Validate: verify kill list candidates have sufficient data (≥20 clicks or ≥$100 spend) before recommending pause
  9. 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 TypePrimarySecondaryTesting
SaaS B2BGoogle Search, LinkedInMeta, YouTubeTikTok, Microsoft
E-commerceGoogle Shopping, MetaTikTok, YouTubeMicrosoft, LinkedIn
Local ServiceGoogle Search, Google LSAMetaMicrosoft, YouTube
B2B EnterpriseLinkedIn, Google SearchMetaMicrosoft, TikTok
Info ProductsMeta, YouTubeGoogle SearchTikTok
Mobile AppMeta, Google UACTikTokApple Ads
Real EstateGoogle Search, MetaYouTubeMicrosoft
HealthcareGoogle SearchMetaMicrosoft, YouTube
FinanceGoogle Search, MetaLinkedInMicrosoft
Agency (clients)Varies by clientN/AN/A

Budget Sufficiency Rules

PlatformMinimum DailyLearning Phase Budget
Google Search$20/daySufficient for 15+ conv/month
Google PMax$50/daySufficient for algorithm optimization
Meta$20/day per ad set≥5x target CPA per ad set
LinkedIn$50/day Sponsored Content15+ conversions/month
TikTok$50/day campaign, $20/day ad group≥50x target CPA per ad group
MicrosoftNo strict minimumSufficient 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
  • Manual CPC: recommended starting point for cost control
  • Cost Cap: efficiency at scale with predictable CPA
  • Maximum Delivery: highest volume, most expensive. Use only for scale with established data
  • 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
  • Manual CPC for low-volume campaigns (Enhanced CPC deprecated on Google March 2025; verify Microsoft availability before recommending)
  • Target CPA / Target ROAS for automated (requires 15+ conversions/30 days)

v1.5 Bidding Innovations

Google AI Max for Search

  • 14% conversion lift in early testing
  • Requires strong negative keyword lists (AI Max casts a wider net)
  • DSA likely consolidated into AI Max by Q2 2026
  • Best for: accounts with mature conversion tracking and keyword history

TikTok Smart+ Modular Control (2025)

  • Lock targeting, creative, budget, or placement independently (mix of manual and AI)
  • ROAS performance: 1.41-1.67x in early adopter data
  • Replaces all-or-nothing automation approach
  • Best for: advertisers wanting partial AI control without full black-box

Apple Ads Maximize Conversions

  • GA: February 26, 2026. AI-powered auto-bidder for Apple Ads
  • Target CPA based on weekly average (not per-conversion)
  • Daily budget must be >=5x target CPA for stable performance
  • Two-week learning phase required; avoid changes during learning
  • Currently supports installs only (not post-install events)

Meta Advantage+ Bidding

  • Automatic optimization across all placements within Advantage+ Sales campaigns
  • Budget automatically shifts to highest-performing placements in real time
  • Best combined with broad targeting and high creative volume

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

  1. Vertical: increase budget on winning campaigns (20% rule)
  2. Horizontal: duplicate winning campaigns to new audiences
  3. Platform expansion: add budget on new platforms
  4. Geographic expansion: test new markets/regions
  5. 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

ScenarioData RequiredAction
CPA >3x target≥7 days data, ≥20 clicksPause immediately
No conversions≥$100 spend or ≥50 clicksPause and diagnose
CTR <50% of benchmark≥1,000 impressionsKill creative, test new
ROAS <50% of target≥14 days dataReduce 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

适合场景

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用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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Cursor

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按下载量换算647

Gemini CLI

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按下载量换算345

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安装前确认

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