multi-touch-attribution

Data driven multi-touch attribution modeling with Markov chains

[Research] Transformer 기반 광고 기여도 모델 제안

In this research paper, we used Google and Facebook conversion lift studies to calibrate our Multi-Touch Attribution results from Google Ads Data Hub (ADH). We assessed the feasibility of these conversion lift calibrations and the impact of using conversion lift results in the calibration adjustment.

A curated list of attribution, measurement, and marketing analytics resources. Open-source libraries, commercial platforms, research papers, datasets, and the people thinking hard about which marketing dollar caused which revenue dollar.

Enterprise B2B multi-touch attribution and budget optimization engine built with Polars, DuckDB, Pydantic v2, Gemini structured output, and Streamlit.

Server-side multi-touch attribution for PHP. Framework-agnostic core with Laravel and Symfony adapters.

Deterministic PHP engine for parsing observed acquisition context, applying first/last-touch rules, and building canonical events.

Multi-touch attribution for Shopify stores. First-click to purchase tracking via Theme App Extension and Remix admin.

Server-side multi-touch attribution for Ruby and Rails. Track customer journeys, attribute conversions, know what works.

Server-side multi-touch attribution for Node.js and TypeScript. Track journeys, attribute conversions, measure real ROAS.

Server-side multi-touch attribution for Python. Flask middleware, framework-agnostic core, no ad-blocker blind spots

The Attribution Modeling for ETL project offers a comprehensive suite of tools and methodologies for implementing various marketing attribution models, including first-touch, last-touch, linear, time decay, and U-shaped models. These models are essential for understanding the impact of different marketing channels on customer conversions.

Multi-agent system built in Claude Code — applies 5 attribution models to B2B pipeline data, identifies funnel bottlenecks, ranks channels by ROI, models budget scenarios, and generates an interactive CMO dashboard

End-to-end Multi-Touch Attribution pipeline implementing 7 attribution models including simple rule-based approaches as well as Markov Chain and Shapley Value models. This also includes a full MTA vs MMM reconciliation framework.

Enterprise Google Cloud BigQuery GA4 multi-touch attribution engine stacking raw event streams with 4-model revenue allocation and SHA-256 PII protection.

CDP composable et warehouse-native : résolution d'identité et attribution multi-touch sur un lakehouse ouvert (dbt, DuckDB, MinIO, Kestra, Streamlit).

Open-source framework for estimating whether a brand is becoming more or less likely to be chosen.

A lightweight Excel template and browser tool for B2B marketing attribution. Connect CRM pipeline data to Shopify revenue to calculate actual ROAS and multi-touch ROI.

A B2B SaaS company runs campaigns across 10+ marketing channels (Organic Search, Paid Search, LinkedIn, Webinars, Referrals, etc.). Leads flow through a 10-stage funnel — from Website Visit to Opportunity Won — touching multiple channels along the way.

Multi-touch attribution modeling comparing Last-Click, First-Click, Linear, Time-Decay, and Position-Based models on a digital marketing dataset — quantifying how channel credit shifts across attribution rules.