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Find where your Google Ads budget leaks, cut waste, and scale your ecommerce store safely — 15 skills: audit, money-leak diagnostics, plan, campaign builders, safe push, monitor, optimize.
This repository provides open-source best practices for for conducting geographic randomized controlled trials (Geo RCTs) for measuring incremental sales effect of advertising cammpaigns. It includes details on one design type in particular, a multi-armed stepped experimental design that has particular advantages in terms of statistical strength.
Lightweight, transparent marketing mix models for DTC brands. Estimate per-channel causal lift from spend + sales data — with honest diagnostics about when not to trust the result.
Tkinter GUI to calculate key SEO & social metrics—CTR, clicks, impressions, CVR, avg. conversion value, ROAS, reach, and engagement—with tabbed UI and copy-to-clipboar
Cross-channel ROAS benchmarking across 6 marketing channels — comparing efficiency of Google Ads, Meta, Amazon, Offline, LinkedIn, and Influencer spend using Python statistical analysis
Bayesian MMM with adstock and saturation curves. Decomposes sales by channel and optimises budget allocation across TV, Search, Digital, Social, OOH, and Email.