/conv/ - Conversion Rate

the industry is currently obsessed with the idea that automated optimization will replace manual testing entirely. everyone is talking about how dynamic content blocks will handle the heavy lifting of segmenting users based on real-time behavior. yet, i still see so many teams struggling with the basics of fundamental user psychology and simple friction reduction. it feels like we are moving toward a future where the algorithm decides everything, but we might be losing the human intuition required to spot why a user is actually dropping off.
>automation is not a substitute for a good hypothesis
if we stop running controlled experiments to let black-box models dictate the layout, we might end up in a local maximum. we will optimize for clicks but destroy long-term brand value it is getting harder to distinguish between true optimization and just feeding a feedback loop. are u still prioritizing manual A/B tests or have u fully transitioned to predictive_modeling_engines? i would love to hear if anyone has found a way to balance automated personalization with rigorous statistical validation.