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influencer-roi影响者投资回报率

Agent Skill

influencer-roi 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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

2,571

周安装

103

GitHub Stars

公开资料未说明

下载量

832
OpenClaw

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

MIT-0

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:influencer-roi(影响者投资回报率)
来源仓库:https://github.com/leooooooow/influencer-roi
安装命令:
openclaw skills install influencer-roi
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install influencer-roi

简介

计算影响者营销活动的投资回报率与归因分析。

  • 追踪创作者内容带来的实际销售转化链路。influencer-roi 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 综合考虑产品因素对 ROI 影响的调节作用。
  • 输出多维度对比报表支持预算分配决策优化。
  • 需建立可靠的 UTM 参数与订单追踪体系基础。

SKILL.md

name
influencer-roi
description
Calculate and compare return on investment across influencer partnerships by tracking attribution from creator content to actual sales, factoring in product seeding costs, commissions, and content licensing fees.

Influencer ROI

Influencer marketing spend is notoriously hard to measure because attribution is fragmented across platforms, discount codes get shared beyond the intended creator, and brands rarely account for hidden costs like product seeding, shipping samples, and content licensing fees. This skill solves that by building a comprehensive ROI model for each creator partnership, giving ecommerce operators a clear picture of which influencers actually drive profitable sales versus those who merely generate vanity metrics.

Use when

  • You want to compare the true cost-per-acquisition across five or more influencer partnerships on TikTok Shop or Instagram
  • A brand manager asks "which creators should we renew contracts with based on actual sales performance, not just views?"
  • You need to build a post-campaign report showing influencer ROI including product seeding costs, commissions paid, and content licensing fees
  • Your team is planning next quarter's creator budget and needs data-driven allocation recommendations across micro, mid-tier, and macro influencers

What this skill does

This skill takes your influencer campaign data — including creator names, content metrics, attributed sales, product costs, commission rates, and any additional fees — and calculates a detailed ROI breakdown for each partnership. It computes cost-per-acquisition (CPA), return on ad spend (ROAS), and net profit contribution per creator. The analysis accounts for direct attribution via discount codes and affiliate links, estimates assisted conversions from brand awareness lift, and flags partnerships where the all-in cost (seeding, shipping, commissions, licensing) exceeds the revenue generated. The output ranks creators by profitability so you can make confident renewal and budget allocation decisions.

Inputs required

  • Creator list with campaign data (required): A list of influencer names or handles along with their content performance metrics (views, clicks, engagements) and attributed sales figures. Example: "Creator A — 500K views, 2,300 clicks, 187 orders, $14,200 revenue"
  • Cost breakdown per creator (required): All costs associated with each partnership including product seeding value, shipping costs for samples, commission rate or flat fee, and any content licensing or usage rights fees. Example: "Creator A — $200 product cost, $15 shipping, 15% commission, $500 licensing fee"
  • Campaign time period (required): The date range for the campaign to normalize performance comparisons. Example: "March 1–31, 2026"
  • Attribution method (optional): Whether you track via discount codes, affiliate links, UTM parameters, or a combination. Specifying this helps the skill assess attribution confidence and flag potential leakage.
  • Target CPA or ROAS threshold (optional): Your internal benchmarks for what constitutes a profitable partnership. If provided, creators will be flagged as above or below target.

Output format

The output is structured as a multi-section report. The first section is an Executive Summary with total spend, total attributed revenue, blended ROAS, and blended CPA across all creators. The second section is a Creator Ranking Table sorted by net ROI, with columns for creator name, total cost (broken into sub-components), attributed revenue, net profit, ROAS, CPA, and a performance tier label (high-performer, break-even, underperformer). The third section provides Individual Creator Cards with detailed breakdowns showing cost composition pie chart descriptions, attribution confidence notes, and specific renewal recommendations. The fourth section is a Budget Reallocation Recommendation suggesting how to redistribute spend from underperformers to high-performers with projected impact estimates. All monetary values use the currency specified in inputs or default to USD.

Scope

  • Designed for: ecommerce operators, brand managers, DTC marketing teams, and influencer marketing agencies
  • Platform context: TikTok Shop, Instagram Shopping, YouTube Shopping, platform-agnostic creator partnerships
  • Language: English

Limitations

  • Does not pull live data from influencer platforms or affiliate networks — you must provide the campaign performance data manually or from exported reports
  • Attribution modeling for assisted conversions is estimated based on industry benchmarks rather than your specific multi-touch attribution setup
  • Does not account for long-term brand equity effects of influencer partnerships, focusing instead on direct and near-term measurable ROI

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

76.67%
按下载量换算638

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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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