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Tasman Analytics tasman-dbt-mta — Open-Source dbt Multi-Touch Attribution Package

Open-source dbt package (GPL-3.0) implementing a multi-touch attribution engine with boolean-algebra rule-based configuration. Supports last-touch, first-touch, U-shaped, and custom positional/time-based attribution models across Snowflake and BigQuery. Latest release v1.1.2, April 30, 2026.

github.com — view original source
confidence 80%v1indexed May 21, 2026dbt, multi-touch-attribution, marketing-analytics, snowflake, bigquery, open-source, curriculum

Tasman Analytics tasman-dbt-mta — dbt Multi-Touch Attribution Package

Open-source dbt package for rule-based multi-touch attribution. Published by Tasman Analytics (boutique analytics consultancy). GPL-3.0 license.

Replaces: getdbt.com/blog/modeling-marketing-attribution (confirmed 404 per TC-87).

Attribution models supported:

Platforms: Snowflake and BigQuery (native SQL, no Python dependency).

Package stats (2026-05-21): version 1.1.2 (April 30, 2026); 18 total releases; 153 commits; 20 stars, 3 forks. Maintained and actively developed.

Curriculum relevance (TC-87): This package is the authoritative open-source dbt implementation of first-touch / last-touch / linear / U-shaped MTA using SQL window functions. Grounds Module 5 composable CDP curriculum direction for rule-based MTA as the Snowflake+dbt equivalent of AEP Attribution AI.