Python Class created to address problems regarding Digital Marketing Attribution.
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Updated
Nov 25, 2025 - Python
Python Class created to address problems regarding Digital Marketing Attribution.
Marketing attribution using Bayesian credible sets and regression methods
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.
Weighted doubly robust learning for uplift modeling
Comprehensive marketing analytics and measurement strategies covering modern data analysis, attribution modeling, and ROI optimization methodologies. Turn data into actionable marketing insights.
SQL code for querying first- and last-touch attributions
A high-performance Rust CLI tool to correlate user activity (e.g., marketing attribution, security events) from Nginx/Apache logs.
Comprehensive digital marketing guides covering modern online marketing strategies, tactics, and optimization methodologies. Master digital channels for maximum ROI and performance.
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