Awesome Marketing Science Guide
This is essentially a navigation layer over the Awesome Marketing Science GitHub repo, giving you quick access to MMM libraries like Robyn and LightweightMMM, geo experimentation tools like GeoLift, and causal inference frameworks. It includes code snippets for common workflows, so you're not starting from scratch when you need to set up a media mix model or run a geo lift test. Most useful if you're working on marketing measurement problems and want a curated jumping-off point rather than googling your way through scattered documentation. The code examples are solid enough to adapt directly, though you'll still need to understand the underlying statistical methods to use any of this properly.
- skills.sh installs
- 793
- GitHub stars
- 4
- last updated
- Jul 14, 2026
Install
$ npx -y skills add aradotso/marketing-skills --skill awesome-marketing-science-guide --agent claude-codeInstalls into .claude/skills of the current project.
Files
Awesome Marketing Science Guide
Skill by ara.so — Marketing Skills collection.
This skill provides guidance on the Awesome Marketing Science resource collection — a curated list of open-source libraries, papers, and methodologies for marketing measurement, including Media Mix Models (MMM), geo incrementality testing, multi-touch attribution (MTA), causal inference, and Bayesian approaches.
Overview
Awesome Marketing Science is a comprehensive resource hub covering:
- Media Mix Modeling (MMM): Measure channel-level ROI and optimize budget allocation
- Geo Experimentation: Test incrementality through matched markets and geo lift
- Attribution: Multi-touch and algorithmic attribution models
- Causal Inference: Difference-in-differences, synthetic control, uplift modeling
- A/B Testing & Experimentation: Online controlled experiments and variance reduction
- Ghost Ads & Platform Incrementality: Measure true ad effectiveness
Repository Structure
The collection is organized into:
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- Repository
- github.com/aradotso/marketing-skills
- Categories
- Documentation, Marketing & SEO
- First seen
- Jul 14, 2026
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