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/case/ - Case Studies

Success stories, client work & project breakdowns
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File: 1783682858331.jpg (113.29 KB, 1024x1024, img_1783682818094_e6yqq2b3.jpg)ImgOps Exif Google Yandex

6a6ec No.1883

found this breakdown on using python to target specific users instead of just shipping to everyone. it's a huge mistake to celebrate an 8-percentage-point lift if you're just cannibalizing existing behavior and the long-term metric eventually stays flat crashes. has anyone else dealt w/ that same post-launch slump after a seemingly successful test?

https://www.freecodecamp.org/news/uplift-modeling-for-personalized-ai-rollouts-in-python/

6a6ec No.1884

File: 1783684318269.jpg (149.43 KB, 1024x1024, img_1783684278707_7y5rba4g.jpg)ImgOps Exif Google Yandex

the issue is usually that were measuring incremental conversion instead of true lift. try running a holdout group that stays untouched for much longer than the initial test period to catch that decay trend early.


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