# Attribution Report

Run attribution on real conversion paths, comparing models.

- Repository: https://github.com/indranilbanerjee/digital-marketing-pro (921 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-10-29
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add indranilbanerjee/digital-marketing-pro --skill attribution-report -g -a claude-code -y`
Codex: `npx skills add indranilbanerjee/digital-marketing-pro --skill attribution-report -g -a codex -y`
Cursor: `npx skills add indranilbanerjee/digital-marketing-pro --skill attribution-report -g -a cursor -y`
Gemini CLI: `npx skills add indranilbanerjee/digital-marketing-pro --skill attribution-report -g -a gemini-cli -y`

## Description

Run attribution on real conversion paths, comparing models. \"which channels actually drive revenue\

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# /digital-marketing-pro:attribution-report

## GA4 AI Assistant channel (added 13 May 2026)

When generating attribution reports against a GA4 property, the **AI Assistant** default channel group is now a first-class channel. GA4 automatically categorizes sessions referred by ChatGPT, Gemini, Claude, and other recognized AI assistants under this channel (and sets `Medium=ai-assistant`). For any brand running an AEO program, include the AI Assistant channel in the channel set and compare its contribution across all attribution models (first-touch, last-touch, linear, time-decay, position-based, data-driven).

The model-comparison view is especially informative here: AI Assistant traffic often shows wildly different credit under first-touch vs last-touch because users frequently *discover* a brand via an AI assistant but convert via a later branded search or direct visit. Don't conclude "AI search doesn't drive revenue" from a last-touch number alone.

Source: [GA4 default channel groups](https://support.google.com/analytics/answer/9164320?hl=en). For the upstream impression-side data, pair with `/digital-marketing-pro:gsc-ai-performance` (GSC AI Performance Report rolled out 3 June 2026, deliberately no click data, so GA4 is your click attribution surface).

## Purpose

Generate multi-touch attribution analysis showing how different marketing channels and campaigns contribute to conversions. Compare multiple attribution models side-by-side, allocate revenue across touchpoints, and provide actionable budget reallocation recommendations based on true channel contribution. This command moves beyond simplistic last-click attribution to reveal the full customer journey, identifying which channels drive awareness, which nurture consideration, and which close conversions, so marketing budgets can be allocated based on actual contribution rather than positional bias.

## Input Required

The user must provide (or will be prompted for):

The rest: https://github.com/indranilbanerjee/digital-marketing-pro/blob/HEAD/skills/attribution-report/SKILL.md