attribution-modeling

A personal view of the attribution analysis using Markov models.

Simba — Bayesian Marketing Mix Modeling (MMM) platform. Media attribution, budget optimization, incrementality measurement, and scenario planning. Built on PyMC-Marketing. No-code, fully transparent, enterprise-ready.

Comprehensive marketing analytics and measurement strategies covering modern data analysis, attribution modeling, and ROI optimization methodologies. Turn data into actionable marketing insights.

Realtime privacy-conscious marketing attribution for the web

An interactive Shiny app for multi-touch attribution (Markov) and a lightweight MMM-style ROI scenario simulator (MMM-lite)—with Diagnostics and Data Health checks to make results easier to trust and explain.

An open-source framework for measuring true marketing channel contributions using causal inference without user-level tracking.

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

HubSpot deal pipeline report Claude skill: on-demand and weekly-scheduled reporting by source/stage/owner

Grito Signal — multi-channel marketing attribution and ROI analytics using PostgreSQL, Python, Markov modelling, Streamlit and reproducible synthetic data.

End-to-end marketing analytics pipeline (dbt + DuckDB + Airflow) combining multi-touch attribution, predictive LTV (BG/NBD + Gamma-Gamma), and marketing mix modeling to reconcile channel performance across three methods.

This is my version of an attribution model for B2B Saas Org targeting Enterprise

Marketing attribution and LTV analytics dashboard using MySQL, Python ETL and Power BI to compare attribution models, CAC, ROAS and customer value.

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.

Demo regression-based attribution (RBA) with synthetic sample data, diagnostics, and reporting.

End-to-end telesales analytics pipeline and BI reporting suite for MEKBN Global across KE, GH, UG, and ZM. Includes PostgreSQL attribution queries, data quality auditing, and executive commercial summaries.

Multi-channel marketing attribution engine replacing last-click with Markov chain removal effect and Shapley value models, then reallocating a $10M media budget on the result. Python, pandas, NumPy.

Customer journey analytics across channels: Fellegi-Sunter identity resolution, churn driver attribution, and interventions ranked by value. Built on FastAPI, DuckDB and React.

Repository for class deliverables for INFO7374

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.

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.