Guide8 min read
What is Causal Inference? A Guide for Marketing Teams
Correlation tells you what happened together. Causation tells you why — and what you can do to change it. Here's why the distinction matters for every marketing decision you make.
Blog
Insights on causal analytics.
Guides, case studies, and research from the CausoAI team.
Research12 min read
AIPW vs PSM: When to Use Each Estimator
Doubly Robust estimation (AIPW) and Propensity Score Matching (PSM) both estimate causal effects, but they make different trade-offs. Learn when to choose each.
Guide6 min read
How to Read a Causal Readiness Score
A CRS of 82 means something specific. Understanding the five layers — coverage, identifiability, feasibility, power, and robustness — makes you a better analyst.
Research10 min read
Attribution Modeling is Broken. Here's Why.
Last-touch, first-touch, linear — every attribution model is wrong in the same way. They measure correlation, not causation. Here's why this matters and what to do about it.
Tutorial9 min read
The 5 Most Common Causal Graph Mistakes
Including a collider as a confounder. Reversing a causal arrow. Omitting a common cause. These mistakes invalidate your estimates — learn how to avoid them.
Tutorial15 min read
From CSV to Counterfactual: A Step-by-Step Walkthrough
Upload a marketing attribution dataset, let CausoAI discover the causal graph, validate readiness, estimate effects, and run a what-if simulation — in under 5 minutes.
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