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Attribution Model Comparison skill

Runs your conversion data through different attribution models side by side — last click, first click, linear, time decay, position based, and data-driven. Shows you how credit shifts between campaigns depending on the model so you can make better budget decisions instead of over-investing in last-touch campaigns. Platform: Google and Meta.

$npx skills add irinabuht12-oss/marketing-skills --skill attribution-model-comparison
GitHub stars
7,179
Pack installs
16
Alyn Score
50/99
Updated
15 days ago

Install Attribution Model Comparison

Pick your agent. Every command is ready to paste.

$npx skills add irinabuht12-oss/marketing-skills --skill attribution-model-comparison

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads attribution-model-comparison when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the attribution-model-comparison skill”. In Codex, type $attribution-model-comparison.

The skill itself

SKILL.md

GitHub

26/ Attribution Model Comparison — Google + Meta

What it does

Runs your conversion data through different attribution models side by side — last click, first click, linear, time decay, position based, and data-driven. Shows you how credit shifts between campaigns depending on the model so you can make better budget decisions instead of over-investing in last-touch campaigns.

How it works

Claude takes your multi-touch conversion path data and applies each attribution model to the same dataset. It then compares how each campaign's attributed conversions and ROAS change under different models, highlighting campaigns that look great under last-click but contribute nothing at first-touch (and vice versa).

Practical example

Under last-click attribution, your Google Brand campaign gets credit for 420 conversions at $18 CPA, making it your "best" campaign. But when Claude runs first-click attribution, Brand drops to 31 conversions — most of those users actually discovered you through Meta prospecting (which jumps from 89 to 340 attributed conversions). Linear attribution puts Meta prospecting at 215 and Brand at 190, giving a more balanced picture. Claude recommends shifting 20% of Brand budget to Meta prospecting, which is actually originating most of your pipeline.

What you get back

  • Side-by-side conversion and ROAS comparison across all models for every campaign
  • Campaigns most affected by model choice (high variance = their role is misunderstood)
  • Upper-funnel campaigns being undervalued under last-click
  • Lower-funnel campaigns being over-credited under last-click
  • Budget reallocation recommendations based on a blended attribution view
  • Recommended "working model" for your specific account based on funnel length and touchpoint patterns

When to use it

  • When making budget allocation decisions to avoid last-click bias
  • During QBRs to show clients the full picture of campaign value
  • When upper-funnel campaigns are on the chopping block due to "poor" last-click ROAS
  • Before cutting any campaign that might be silently feeding conversions elsewhere

Data access (Ryze MCP)

This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:

  • claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → https://connector.get-ryze.ai/mcp
  • Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp
  • Cursor: Settings → MCP → add the same URL

Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp?utm_source=github&utm_content=marketing-skills

Tips for Attribution Model Comparison

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It is part of a pack with 40 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Attribution Model Comparison

What does the Attribution Model Comparison skill do?

Runs your conversion data through different attribution models side by side — last click, first click, linear, time decay, position based, and data-driven. Shows you how credit shifts between campaigns depending on the model so you can make better budget decisions instead of over-investing in last-touch campaigns. Platform: Google and Meta.

How do I install Attribution Model Comparison?

Run "npx skills add irinabuht12-oss/marketing-skills --skill attribution-model-comparison" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Attribution Model Comparison work in Cursor and Codex?

Yes. Attribution Model Comparison uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Attribution Model Comparison free?

Attribution Model Comparison is open source on GitHub. It is free to install; check the license before commercial use.

Who made Attribution Model Comparison?

Attribution Model Comparison is published by irinabuht12-oss in the irinabuht12-oss/marketing-skills repository, together with 39 other skills.

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