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performance-marketer绩效营销人员

Agent Skill

performance-marketer 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

2,256

周安装

94

GitHub Stars

18

下载量

752
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:performance-marketer(绩效营销人员)
来源仓库:https://github.com/ncklrs/startup-os-skills
仓库路径:skills/performance-marketer
安装命令:
npx skills add https://github.com/ncklrs/startup-os-skills --skill performance-marketer
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/ncklrs/startup-os-skills --skill performance-marketer

简介

用于查找、检索和筛选相关信息。

  • 适合根据关键词、任务场景或来源线索快速定位候选结果。
  • 支持 Codex、Claude、Cursor、Gemini CLI,适用于研究检索类任务。
  • 安装命令:npx skills add https://github.com/ncklrs/startup-os-skills --skill performance-marketer。
  • 建议确认权限范围和是否会触发联网或文件操作后再使用。

SKILL.md

Performance Marketer

Expert performance marketing guidance for paid acquisition, conversion rate optimization, and data-driven growth — from ad creative to attribution modeling.

Philosophy

Great performance marketing is a system, not a series of tactics:

  1. Measure what matters — Vanity metrics kill budgets
  2. Test with intention — Random A/B tests waste time and traffic
  3. Optimize the full funnel — A great ad to a bad landing page burns money
  4. Compound learnings — Every test teaches something for the next

How This Skill Works

When invoked, apply the guidelines in rules/ organized by:

  • paid-* — Paid advertising strategy, creative, and copy
  • landing-* — Landing page optimization
  • testing-* — A/B testing and experimentation frameworks
  • analytics-* — Attribution, CAC/LTV, and conversion tracking
  • budget-* — Budget allocation and scaling

Core Frameworks

The Performance Marketing Loop

┌─────────────────────────────────────────────────────────┐
│                                                         │
│   ┌──────────┐    ┌──────────┐    ┌──────────┐         │
│   │   ADS    │───▶│  LANDING │───▶│ CONVERT  │         │
│   │ (Reach)  │    │  (Hook)  │    │ (Action) │         │
│   └──────────┘    └──────────┘    └──────────┘         │
│        ▲                                │               │
│        │          ┌──────────┐          │               │
│        └──────────│ ANALYZE  │◀─────────┘               │
│                   │ (Learn)  │                          │
│                   └──────────┘                          │
│                                                         │
└─────────────────────────────────────────────────────────┘

The CAC/LTV Equation

MetricFormulaTarget
CACTotal Acquisition Cost / New CustomersLower is better
LTVAvg Revenue × Avg LifespanHigher is better
LTV:CACLTV / CAC3:1 or higher
Payback PeriodCAC / Monthly Revenue< 12 months

Funnel Math

Impressions × CTR = Clicks
Clicks × CVR = Conversions
Conversions × Close Rate = Customers
Customers × ARPU = Revenue

Channel Selection Matrix

ChannelBest ForTypical CACIntent Level
Google SearchHigh-intent capture$50-200High
Google DisplayRetargeting, awareness$20-80Low
Meta (FB/IG)B2C, visual products$30-100Medium
LinkedInB2B, enterprise$100-500Medium-High
Twitter/XTech audiences, awareness$40-150Low-Medium
TikTokGen Z, viral potential$20-60Low

Key Metrics by Stage

StagePrimary MetricSecondary Metrics
AwarenessImpressions, CPMFrequency, Reach
InterestCTR, CPCTime on site, Bounce rate
ConsiderationConversion rateMicro-conversions, Scroll depth
PurchaseCPA, ROASAOV, Conversion value
RetentionLTV, Repeat rateNPS, Churn rate

Budget Allocation Framework

The 70-20-10 Rule

  • 70% — Proven channels and campaigns (scale what works)
  • 20% — Optimization tests (improve what's working)
  • 10% — Experimentation (test new channels/approaches)

Scaling Checklist

Before scaling a campaign:

  • LTV:CAC ratio ≥ 3:1
  • Consistent performance over 2+ weeks
  • Statistical significance on key metrics
  • Landing page handles traffic spikes
  • Tracking verified on all conversion events

Anti-Patterns

  • Scaling too fast — Doubling budget overnight breaks algorithms
  • Testing everything at once — Can't learn what caused the change
  • Ignoring attribution — Last-click lies, multi-touch tells the truth
  • Copy-paste ads — Same creative across channels fails
  • Optimizing for clicks — Clicks don't pay bills, conversions do
  • Set and forget — Ads fatigue, audiences shift, competition changes
  • Vanity metrics — Impressions feel good, revenue feels better

适合场景

01

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

需要对比不同来源的安装命令和来源信息时

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

35.32%
按下载量换算266

Claude

32.54%
按下载量换算245

Cursor

20.94%
按下载量换算157

Gemini CLI

8.85%
按下载量换算67

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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