How to use Causal Inference when A/B testing is not available

<p>Ever caught those pumped-up Nike Ads while tuning in to a podcast recapping last night&rsquo;s epic NBA showdown? Or how about stumbling upon New Balance ads mid-sneaker review extravaganza on YouTube? That&rsquo;s the magic of contextual targeting &mdash; the matchmaking maestro connecting content and ads based on the vibe of the moment! Say goodbye to ad awkwardness and hello to tailored ad experiences that&rsquo;ll make you do a happy dance. Picture this: &ldquo;Would you rather groove to Nike ads in a basketball podcast or spice things up in a politics podcast?&rdquo;</p> <p>As tech giants ramp up their investment in protecting user privacy, the old-school behavior targeting (you know, the one that relies on IP addresses and user devices) might find itself in a sticky situation. With fewer cookies and mysterious IP addresses lurking around, it&rsquo;s like the wild west out there for traditional targeting!</p> <p><a href="https://towardsdatascience.com/how-to-use-causal-inference-when-a-b-testing-is-not-possible-c87c1252724a"><strong>Website</strong></a></p>