Awesome Marketing Science Guide
- 798 installs
- 6 repo stars
- Updated July 18, 2026
- aradotso/marketing-skills
awesome-marketing-science-guide is a marketing measurement skill that navigates MMM, geo lift, MTA, and causal-inference libraries and papers for developers who need rigorous incrementality test design.
About
awesome-marketing-science-guide is a skill from aradotso/marketing-skills that helps developers choose and design marketing science methods such as media mix modeling (MMM), geo lift experiments, multi-touch attribution (MTA), and causal-inference frameworks. Instead of ad-hoc dashboards, the skill orients agents toward established libraries, papers, and experiment designs for measuring true incrementality. Engineers reach for awesome-marketing-science-guide when planning how to attribute revenue to channels, run holdout or geo tests, or compare attribution models before launching paid growth. It bridges data engineering and growth analytics for teams that need defensible measurement, not vanity metrics.
- Curated MMM libraries such as Robyn and LightweightMMM
- Geo experimentation and incrementality testing paths
- Causal inference and MTA methodology pointers
- Start-here papers plus open-source library index
Awesome Marketing Science Guide by the numbers
- 798 all-time installs (skills.sh)
- +2 installs in the week ending Jul 27, 2026 (Skillselion tracking)
- Ranked #388 of 2,066 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Jul 28, 2026 (Skillselion catalog sync)
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| Installs | 798 |
|---|---|
| repo stars | ★ 6 |
| Last updated | July 18, 2026 |
| Repository | aradotso/marketing-skills ↗ |
How do you design marketing incrementality tests with MMM?
Navigate MMM, geo lift, MTA, and causal-inference libraries and papers to design marketing measurement and incrementality tests.
Who is it for?
Developers and growth engineers scoping marketing measurement, attribution, or incrementality experiments before scaling ad spend.
Skip if: Teams that only need basic web analytics setup or SEO copy without experimental measurement design.
When should I use this skill?
A developer asks to design marketing measurement, incrementality tests, MMM, geo lift, MTA, or causal inference for growth.
What you get
Measurement plan covering MMM, geo lift, MTA, or causal-inference method choice plus incrementality test design references.
- incrementality test plan
- measurement method recommendation
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What methods does awesome-marketing-science-guide cover?
awesome-marketing-science-guide covers media mix modeling (MMM), geo lift tests, multi-touch attribution (MTA), and causal-inference approaches. The skill helps developers navigate related libraries and papers to design incrementality measurement.
Who should use awesome-marketing-science-guide?
awesome-marketing-science-guide suits developers and growth engineers planning marketing measurement before scaling spend. Use it when attribution, holdouts, or causal methods must be scoped with published frameworks rather than ad-hoc reporting.