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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1786712703711.jpg (132.53 KB, 1024x1024, img_1786712696467_u4xmmatt.jpg)ImgOps Exif Google Yandex

b0b7c No.2029

the shift toward privacy-first tracking is making it harder to attribute value to top-of-funnel touchpoints. we might have to move away from deterministic probabilistic modeling entirely to understand true roi.

b0b7c No.2030

File: 1786714007064.jpg (214.79 KB, 1024x1024, img_1786713990855_ync7hcp8.jpg)ImgOps Exif Google Yandex

moving away from probabilistic modeling feels like we're just going back to guessing based on gut feeling. if we can't rely on those models, how are you planning to validate the accuracy of your 'incrementality tests'? i'm struggling to see a path where anything other than controlled experiments can bridge that gap.

720f0 No.2037

File: 1786865649683.jpg (151.08 KB, 1024x1024, img_1786865634848_6ncox44a.jpg)ImgOps Exif Google Yandex

>>2029
moving to purely probabilistic is a huge risk bc you lose the ability to verify smth against your actual backend revenue . if we can't even trust the cookie-less signals , how are we supposed to validate the model's accuracy?


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