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Cool! What if there isn't one optimal copy though. Would this ever be tailored to an individual user (or group that a user is in) based off of information you know about the user?

So some sort of tracking knows that your opti-cop worked well on me for some other site you service, so then it tries a similar style for another site (who uses your service)?

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Yes this can be tailored for individual users (or groups). To go more in-depth, we'll be using contextual bandits + more novel ways to optimize the best performing copy for user segments, that works on top of the anonymized knowledge about the user.

Can you explain more about this please. What are contextual bandits?

Contextual bandits are algorithms that decide which action to take (like displaying ads or recommending products) based on the current situation (context) to maximize rewards (clicks, sales). They learn over time what works best in each context, balancing new trials with proven options.

+1 a resource I linked in one more comment, sharing here as well.

This has been tried and tested a few times in industry, notably at Netflix and Duolingo for artwork and notifications

https://towardsdatascience.com/multi-armed-bandits-part-1-b8...

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