Google and Meta's A/B testing tools are actually observational analyses, not true randomized controlled experiments. The platforms misrepresent their testing capabilities by using experimental terminology while lacking proper random assignment, which prevents valid causal inference. This misleads advertisers into making

5m read time From r-bloggers.com
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Takeaways for advertising practitioners?Long Version:

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