Blog
4 hours ago
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.
Source: HackerNoon →