Campaign Analytics

What it does

When your agent uses it

• Comparing channel contribution with multi-touch attribution models
• Finding where prospects drop out of a conversion funnel
• Calculating ROI, ROAS or CPA across campaigns
• Preparing a campaign report or channel comparison

Example prompts

• “Run the attribution analyzer on campaign_data.json with the time-decay model.”
• “Analyze the funnel in funnel_data.json and tell me which stage loses the most people.”
• “Calculate ROI for each campaign in our Q3 export and rank them.”
• “Compare the paid search and email channels and write the report with the channel comparison template.”

Requirements

• Python (standard library only)

Workflow steps

3 steps, taken from the step headings in SKILL.md.

1. 1attribution_analyzer.py
2. 2funnel_analyzer.py
3. 3campaign_roi_calculator.py

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 3 files in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Campaign Analytics loads about 2.1k tokens when it runs, and up to ~9.5k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 654 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~82

When it runs · the whole SKILL.md, loaded when a task matches

~2.1k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~9.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 654 words, ~2,099 tokens.

name

campaign-analytics

description

Analyzes campaign performance with multi-touch attribution, funnel conversion analysis, and ROI calculation for marketing optimization. Use when analyzing marketing campaigns, ad performance, attribution models, conversion rates, or calculating marketing ROI, ROAS, CPA, and campaign metrics across channels.

license

MIT

metadata.version

1.0.0

metadata.author

Alireza Rezvani

metadata.category

marketing

metadata.domain

campaign-analytics

metadata.updated

2026-02-06

metadata.python-tools

attribution_analyzer.py, funnel_analyzer.py, campaign_roi_calculator.py

metadata.tech-stack

marketing-analytics, attribution-modeling

{
  "journeys": [
    {
      "journey_id": "j1",
      "touchpoints": [
        {"channel": "organic_search", "timestamp": "2025-10-01T10:00:00", "interaction": "click"},
        {"channel": "email", "timestamp": "2025-10-05T14:30:00", "interaction": "open"},
        {"channel": "paid_search", "timestamp": "2025-10-08T09:15:00", "interaction": "click"}
      ],
      "converted": true,
      "revenue": 500.00
    }
  ]
}

{
  "funnel": {
    "stages": ["Awareness", "Interest", "Consideration", "Intent", "Purchase"],
    "counts": [10000, 5200, 2800, 1400, 420]
  }
}

{
  "campaigns": [
    {
      "name": "Spring Email Campaign",
      "channel": "email",
      "spend": 5000.00,
      "revenue": 25000.00,
      "impressions": 50000,
      "clicks": 2500,
      "leads": 300,
      "customers": 45
    }
  ]
}

# Step 1 — Attribution: understand which channels drive conversions
python scripts/attribution_analyzer.py campaign_data.json --model time-decay

# Step 2 — Funnel: identify where prospects drop off on the path to conversion
python scripts/funnel_analyzer.py funnel_data.json

# Step 3 — ROI: calculate profitability and benchmark against industry standards
python scripts/campaign_roi_calculator.py campaign_data.json

# Run all 5 attribution models
python scripts/attribution_analyzer.py campaign_data.json

# Run a specific model
python scripts/attribution_analyzer.py campaign_data.json --model time-decay

# JSON output for pipeline integration
python scripts/attribution_analyzer.py campaign_data.json --format json

# Custom time-decay half-life (default: 7 days)
python scripts/attribution_analyzer.py campaign_data.json --model time-decay --half-life 14

# Basic funnel analysis
python scripts/funnel_analyzer.py funnel_data.json

# JSON output
python scripts/funnel_analyzer.py funnel_data.json --format json

# Calculate ROI metrics for all campaigns
python scripts/campaign_roi_calculator.py campaign_data.json

# JSON output
python scripts/campaign_roi_calculator.py campaign_data.json --format json

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 11 other files (scripts, references, assets) in marketing-skill/skills/campaign-analytics of alirezarezvani/claude-skills.

• SKILL.md
• assets/ab_test_template.md
• assets/campaign_report_template.md
• assets/channel_comparison_template.md
• assets/expected_output.json
• assets/sample_campaign_data.json
• references/attribution-models-guide.md
• references/campaign-metrics-benchmarks.md
• references/funnel-optimization-framework.md
• scripts/attribution_analyzer.py
• scripts/campaign_roi_calculator.py
• scripts/funnel_analyzer.py

Open the folder on GitHubat commit 19392f7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

• LeoYeAI/openclaw-master-skillsskills/campaign-analytics