Python Class created to address problems regarding Digital Marketing Attribution.
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Updated
Jan 9, 2026 - 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
SQL code for querying first- and last-touch attributions
Comprehensive marketing analytics and measurement strategies covering modern data analysis, attribution modeling, and ROI optimization methodologies. Turn data into actionable marketing insights.
6 production-ready Claude Code skills for automating Lemon Squeezy operations. Customer support, sales analytics, discount codes, and refunds. Saves 5+ hours/week.
Comprehensive digital marketing guides covering modern online marketing strategies, tactics, and optimization methodologies. Master digital channels for maximum ROI and performance.
A high-performance Rust CLI tool to correlate user activity (e.g., marketing attribution, security events) from Nginx/Apache logs.
📊 Explore marketing attribution and ROI with this interactive Shiny app for multi-touch analysis and scenario simulations, ensuring reliable insights.
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