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// Hacker Noon · 13 January 2026

When A/B Tests Aren’t Possible, Causal Inference Can Still Measure Marketing Impact

In many real‑world settings, running a randomized experiment is simply impossible. We’ll walk through Diff‑in‑Diff, Synthetic Control, and Meta’s GeoLift. We show how to prep your data, and provide ready‑to‑run code.

Hacker Noon
@hacker-noon · Stanislav Petrov
hackernoon.com
Read Full Article at hackernoon.com
Hacker Noon@hacker-noon

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