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nehagetschoice | 2 years ago

Yes, we think of this as a decision tree, where initially, copies may look different by say, user demographics and location. As we learn more about what's working well for different dimensions of users (eg: topical interests, traffic source, platform type), the decision tree grows, and every single element in the anatomy of copies is optimized based on past learnings. In an ideal world, every user truly sees a unique copy tailored to them.

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iamacyborg|2 years ago

How do you do that in a meaningful statistically significant way?

Not a gotcha, just genuinely curious.