attribution-report

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Run multi-touch attribution analysis. Use when: first/last-touch, linear, time-decay, position-based revenue allocation.

AI & Automation 136 stars 37 forks Updated 3 days ago MIT

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# /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 touchpoint...

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Author
indranilbanerjee
Repository
indranilbanerjee/digital-marketing-pro
Created
4 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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