Split examples for clustered analysis #464
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bertilhatt
commented
Sep 12, 2024
bertilhatt
commented
- The User/Session split is a very general use case, not just for social media companies
- Social media also use this feature for clusters of friends, so if you introduce video calls to some, your friends can video-call, too.
* The User/Session split is a very general use case, not just for social media companies * Social media also use this feature for clusters of friends, so if you introduce video calls to some, your friends can video-call, too.
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lukasgoetzweiss
requested changes
Nov 1, 2024
| @@ -4,7 +4,8 @@ Clustered analysis is available in cases where there is a need to compute metric | |||
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| Common cases include but are not limited to: | |||
| - B2B companies that randomize at the company level, but wants to look at user level metrics | |||
| - Social media companies that randomize at the user level (for a consistent user experience), but want to look at session-level metrics | |||
| - Marketplaces and Social media companies who want to cluster users more likely to interact with each to share common feature | |||
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Is this suggesting randomizing on those clusters of users? I worry that in many cases there won't be enough clusters to satisfy the CLT. My understanding is that the current approach to clusters on works if you have at least a few hundred cluster samples
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Also, this sentence could be clearer:
.. who want to cluster users more likely to interact with each to share common feature
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