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mkt-ad-optimization营销广告优化

Agent Skill

mkt-ad-optimization 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。

总安装

423

周安装

18

GitHub Stars

125

下载量

148
CodexClaudeCursorGemini CLI

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:mkt-ad-optimization(营销广告优化)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/mkt-ad-optimization
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill mkt-ad-optimization
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/asgard-ai-platform/skills --skill mkt-ad-optimization

简介

mkt-ad-optimization 用于广告效果研究与策略优化。

  • 适合在营销场景中检索竞品、渠道表现与用户反馈。
  • 通过关键词驱动分析,支持多宿主环境调用。
  • 建议结合业务事实验证结论,避免虚构数据。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Digital Ad Optimization

Framework

IRON LAW: Optimize for the Business Metric, Not the Ad Metric

High CTR with low conversion = wasted clicks (attracting curiosity, not buyers).
Low CPC with no sales = cheap traffic that doesn't convert.

The only metrics that matter: CPA (Cost Per Acquisition), ROAS (Return On Ad Spend),
and ultimately: profit per ad dollar. Optimize the funnel, not the ad.

Platform Comparison

PlatformBest ForAudienceAvg CPC (Taiwan)Targeting Strength
Google SearchHigh-intent queries, direct responseActive searchersNT$5-30Keyword intent (strongest)
Google DisplayAwareness, retargeting, broad reachPassive browsingNT$1-5Contextual, audience
Meta (FB/IG)Social discovery, visual products, lookalikeSocial usersNT$3-15Interest, behavior, lookalike
LINE LAPTaiwan-specific, broad reachLINE users (95% Taiwan)NT$3-20Demographics, interests
YouTubeVideo branding, considerationVideo viewersNT$1-5 (CPV)Intent, affinity, in-market
TikTokGen Z, viral products, short-form videoYoung demographicNT$2-10Interest, behavior

Bidding Strategies

StrategyHow It WorksWhen to Use
Manual CPCYou set max CPCLearning phase, small budgets, full control
Target CPAAlgorithm optimizes for target cost per acquisition30+ conversions/month, known CPA target
Target ROASAlgorithm optimizes for target return on ad spendE-commerce, known revenue per conversion
Maximize ConversionsSpend full budget to get max conversionsGrowth phase, less concerned about CPA
Maximize ClicksMost clicks for budgetTraffic campaigns, awareness

Optimization Workflow

Phase 1: Audit Current Performance

  • CPA by campaign, ad group, keyword/audience
  • Quality Score (Google) or Relevance Score (Meta)
  • Conversion rate by landing page
  • Wasted spend: search terms with clicks but no conversions

Phase 2: Quick Wins (Week 1-2)

  • Add negative keywords (Google Search)
  • Pause underperforming ad groups/audiences
  • Reduce bids on high-CPA keywords
  • Fix landing page mismatches (ad promise ≠ landing page content)

Phase 3: Structural Improvements (Week 3-4)

  • Audience segmentation: separate cold, warm, hot audiences
  • Creative refresh: new ad copy/images (fatigue sets in after 2-4 weeks)
  • Landing page optimization: speed, mobile, clear CTA

Phase 4: Scaling (Month 2+)

  • Increase budget on winning campaigns (incrementally, +20%/week)
  • Expand to new audiences (lookalikes, new interests)
  • Test new platforms
  • Build retargeting funnel: awareness → consideration → conversion

Creative Testing (A/B)

ElementWhat to TestMinimum Sample
HeadlineBenefit vs feature, question vs statement1,000 impressions each
Image/VideoProduct shot vs lifestyle, static vs video1,000 impressions each
CTA"Shop Now" vs "Learn More" vs "Get Offer"500 clicks each
OfferFree shipping vs % discount vs gift100 conversions each

Output Format

# Ad Optimization Report: {Campaign/Account}

## Performance Summary
| Metric | Current | Target | Status |
|--------|---------|--------|--------|
| Spend | NT${X}/month | — | — |
| CPA | NT${X} | NT${X} | 🟢/🟡/🔴 |
| ROAS | {X}x | {X}x | 🟢/🟡/🔴 |
| CVR | {%} | {%} | 🟢/🟡/🔴 |

## Top Performing
| Campaign/Ad | CPA | ROAS | Action |
|------------|-----|------|--------|
| {name} | NT${X} | {X}x | Scale +20% |

## Underperforming
| Campaign/Ad | CPA | Issue | Action |
|------------|-----|-------|--------|
| {name} | NT${X} | {diagnosis} | Pause/Optimize/Restructure |

## Optimization Plan
| Priority | Action | Expected Impact | Timeline |
|----------|--------|----------------|----------|
| 1 | {action} | CPA -{X%} | {weeks} |

Gotchas

  • Learning phase needs patience: Google/Meta algorithms need 50+ conversions per week per ad group to optimize. Restructuring too frequently resets learning.
  • Attribution isn't perfect: Google takes credit for Google, Meta takes credit for Meta. Use UTM parameters and a neutral analytics tool (GA4) for cross-platform attribution.
  • Creative fatigue is real: Even winning ads degrade over 2-4 weeks as the same audience sees them repeatedly. Refresh creatives regularly.
  • Taiwan ad market specifics: LINE LAP reaches demographics that Facebook is losing (older users). Google is dominant for search intent. Mix platforms based on your audience.
  • iOS privacy (ATT): Since iOS 14.5, Meta tracking is limited. Expect less accurate reporting for iOS users. Use conversion API and model-based attribution.

References

  • For Google Ads account structure best practices, see references/google-ads-structure.md
  • For Meta Ads creative guidelines, see references/meta-creative.md

适合场景

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02

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能力概览

能力 1

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能力 2

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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

37%
按下载量换算55

Claude

31.92%
按下载量换算47

Cursor

17.33%
按下载量换算26

Gemini CLI

9.66%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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