roi-calculator

GitHub

达人营销ROI计算工具,支持直接回报、广告价值、LTV等多种模型,生成投资回报率及建议。

influencer/report/roi-calculator/SKILL.md aaron-he-zhu/aaron-marketing-skills

Trigger Scenarios

calculate influencer ROI prove campaign value what was our ROAS

Install

npx skills add aaron-he-zhu/aaron-marketing-skills --skill roi-calculator -g -y
More Options

Non-standard path

npx skills add https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/influencer/report/roi-calculator -g -y

Use without installing

npx skills use aaron-he-zhu/aaron-marketing-skills@roi-calculator

指定 Agent (Claude Code)

npx skills add aaron-he-zhu/aaron-marketing-skills --skill roi-calculator -a claude-code -g -y

安装 repo 全部 skill

npx skills add aaron-he-zhu/aaron-marketing-skills --all -g -y

预览 repo 内 skill

npx skills add aaron-he-zhu/aaron-marketing-skills --list

SKILL.md

Frontmatter
{
    "name": "roi-calculator",
    "slug": "aaron-roi-calculator",
    "license": "Apache-2.0",
    "summary": "活动投入产出核算:成本归集、收益口径与 ROI 及 STAR 回报(R)证据汇总",
    "version": "19.2.0",
    "homepage": "https:\/\/github.com\/aaron-he-zhu\/aaron-marketing-skills",
    "metadata": {
        "phase": "report",
        "author": "aaron-he-zhu",
        "hermes": {
            "tags": [
                "marketing",
                "influencer",
                "report"
            ],
            "category": "influencer"
        },
        "version": "19.2.0",
        "openclaw": {
            "emoji": "📣",
            "homepage": "https:\/\/github.com\/aaron-he-zhu\/aaron-marketing-skills"
        },
        "discipline": "influencer",
        "geo-relevance": "low"
    },
    "description": "Use when the user asks to \"calculate influencer ROI\", \"prove campaign value\", or \"what was our ROAS\"; produces direct ROI\/ROAS, earned media value, attribution-modeled revenue, LTV-based ROI, and a stakeholder-ready summary. Not for building the full slide\/written report — use report-generator. 达人营销ROI计算\/投资回报测算",
    "displayName": "ROI Calculator · ROI 计算",
    "when_to_use": "Use when measuring or projecting influencer campaign ROI, justifying or defending budgets, comparing ROI across campaigns or channels, evaluating individual influencer or tier value, or preparing executive-level ROI numbers. Activate when the user supplies spend and results data and wants ROI, ROAS, EMV, CPA\/CAC, attribution, or LTV impact computed.",
    "argument-hint": "<campaign name or spend> [revenue] [results data]",
    "compatibility": "Claude Code and compatible agent-skill hosts"
}

ROI Calculator

This skill helps you calculate and communicate the return on investment for influencer marketing campaigns using various methodologies appropriate for your goals and available data.

Cross-discipline (paid ads): this is the shared return-math engine for paid ads — paid-measurement-loop, attribution-reconciler, and budget-optimizer delegate ROAS/CPA/payback ratios here rather than recomputing them. Save paid runs under memory/ad/roi-calculator/.

Quick Start

Shortest invocation:

Calculate ROI for our influencer campaign: $25K spend, $72K revenue, 2.1M reach

Common scenario — compare methods before reporting:

What's the ROI of our campaign using direct revenue, EMV, and LTV-based methods?

Skill Contract

  • Reads: campaign spend breakdown, results data (reach, impressions, engagements, clicks, conversions, revenue, new customers), AOV and repeat-rate data if LTV is in scope, any prior performance output from performance-analyzer.
  • Writes: ROI calculation file at memory/influencer/roi-calculator/YYYY-MM-DD-<topic>.md containing direct ROI/ROAS, EMV, cost-efficiency metrics, attribution-modeled revenue, LTV-based ROI, by-influencer ROI, and a summary report block.
  • Promotes: only with separate authorization, durable headline numbers with their attribution window, source, and uncertainty; a calculation request alone does not authorize hot-cache writes.
  • Done when:
    1. At least one ROI methodology is computed with the inputs and formula shown.
    2. Each headline metric is stated against a declared, source-dated comparison target; no universal benchmark is invented.
    3. A bottom-line assessment (profitable / break-even / loss) and 1-3 recommendations are written.
  • Primary next skill: report-generator

Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Data Sources

This family is Tier 1 — it works with no live integrations. Ask the user for spend and results data and compute everything from those inputs. Connectors below can pull the numbers automatically when available:

  • ~~social platform analytics — reach, impressions, engagements, video views per platform for EMV and cost-per-metric math.
  • ~~ecommerce / analytics — revenue, conversions, link clicks, and AOV for direct ROI and attribution.
  • ~~CRM — new-customer counts, repeat-purchase rate, and lifetime value for LTV-based ROI.
  • ~~influencer database — per-influencer fees and tier data for by-influencer ROI.

With zero integrations, supply the investment and results tables by hand and the skill still produces every calculation. See CONNECTORS.md for the free/keyless recipe per category.

Instructions

When a user requests ROI calculation, work the steps below. Each step has a fill-in template in references/roi-templates.md — link the step number to its block there.

  1. Gather ROI inputs — campaign details, the investment (total spend) table, and the results-data table. (template)

  2. Calculate direct ROI — Simple ROI = (Revenue − Investment) / Investment × 100; ROAS = Revenue / Investment. State profit and a Profitable/Break-even/Loss assessment. (template)

  3. Calculate Earned Media Value (EMV) — impression-based (Impressions × CPM / 1000) and engagement-based (Engagements × CPE), then average. Flag EMV as directional, not absolute. (template)

  4. Calculate cost-efficiency metrics — CPM, CPR, CPE, CPV, CPC, CPA, and CAC. Compare only against a declared, source-dated target with a compatible market, window, and attribution basis; otherwise report the metric descriptively and mark the comparison pending. (template)

  5. Apply attribution modeling — run first-touch, last-touch, linear, time-decay, and position-based; recommend the model that fits the customer journey. (template)

  6. Calculate customer lifetime value impact — LTV-Based ROI = (New Customers × Avg LTV − Investment) / Investment; project short- vs. long-term and compare customer quality to organic/paid. (template)

  7. Calculate by-influencer ROI — per-influencer ROI/ROAS rank, investment efficiency, and ROI by tier (macro/micro/nano). (template)

  8. Generate the ROI report summary — investment, returns, ROI by methodology, key metrics vs. benchmark, bottom line, and 1-3 recommendations. (template)

  9. Produce the measured Return (R) evidence for the gate

    The financial outputs from steps 1–8 are the campaign's measured Return (R) evidence for STAR: ROI/ROAS read against the declared target (R1) and the alternative-channel baseline (R3), CPE/CPM/CPA benchmarked on a normalized window (R2), KPI attainment versus the pre-registered target (R4), conversions attributed with a stated method and rigor (R5), and incremental impact separated from baseline where measurable (R6). Measured Return exists only at assessment_time: actual; a forecast read has no R1R6. Label each figure Measured / User-provided / Calculated / Estimated.

    Hand this Return evidence to the creator-content-auditor gate — it folds R into the full actual STAR run and computes the profile-weighted SQS. This skill does not run the scorer or emit the composite. Unverified conversions emit results-unverified: report R1/R2/R5 as low-confidence and make no attributable-return claims. These financial numbers are consumed as R evidence; they are not themselves an SQS.

    For a multi-creator campaign, the gate scores each creator partnership separately; a budget-weighted mean of the per-partnership SQS values may summarize the campaign but never replaces the per-partnership diagnosis. This skill supplies the per-partnership Return evidence; it does not aggregate or roll up a composite.

  10. Persist only with permission — save under memory/influencer/roi-calculator/ (or the paid path) only after authorization; request separate authorization for hot-cache promotion.

Example

User: "Calculate ROI for our influencer campaign: $25K spend, $72K revenue, 2.1M reach"

Output:

# ROI Calculation Summary

## Investment & Returns

| Item | Value |
|------|-------|
| Total Investment | $25,000 |
| Direct Revenue | $72,000 |
| Total Reach | 2,100,000 |

## ROI Results

### Direct ROI
- **Profit**: $47,000
- **ROI**: 188%
- **ROAS**: 2.88:1

For every $1 spent, you generated $2.88 in revenue.

### Earned Media Value
- **EMV** (directional scenario at a declared $8 CPM): $16,800
- **EMV Multiple**: 0.67x

### Cost Efficiency
- **CPM**: $11.90
- **CPA**: Unknown (conversion count was not supplied)

## Assessment: Profitable on the supplied direct-revenue basis

Direct revenue exceeds the supplied investment, but no source-dated peer target or incrementality evidence was provided. Do not infer benchmark outperformance or authorize a scale decision from this read alone; obtain verified conversions, attribution evidence, and the campaign owner's precommitted decision rule first.

The source-dated benchmark evidence template lives in references/roi-templates.md#benchmark-evidence-template.

Reference Materials

Next Best Skill

Primary: report-generator — turn the ROI numbers into a stakeholder-ready report.

Alternates (same Report family):

  • performance-analyzer — go back for deeper performance breakdowns if the ROI math exposed gaps.
  • budget-optimizer — feed by-influencer and by-tier ROI into the next budget allocation.

Termination note: keep a visited-set of skills invoked this session. If the primary next skill was already run, stop and report the chain complete rather than re-invoking it. Stop after at most 3 hops in a single chain.

Version History

  • 8ebe52f Current 2026-08-20 02:01
  • bc7d62d 2026-07-25 08:08

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