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 campaign
Install
The skill file stays in the publisher's repository.
Paste the copied command in a terminal. It installs this SKILL.md into that agent.
npx skills add irinabuht12-oss/marketing-skills --skill attribution-model-comparison -a cursor -y
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.
Questions
How do I install attribution-model-comparison?
Download skills/attribution-model-comparison/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does attribution-model-comparison live?
The publisher keeps it at https://github.com/irinabuht12-oss/marketing-skills.
Which agents can use attribution-model-comparison?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.
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.
name: attribution-model-comparison
description: 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.
metadata:
platform: Google and Meta
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:
Download skills/attribution-model-comparison/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does attribution-model-comparison live?
The publisher keeps it at https://github.com/irinabuht12-oss/marketing-skills.
Which agents can use attribution-model-comparison?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.