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File: 1788859813074.jpg (130.69 KB, 1024x1024, img_1788859773632_9w86lhdh.jpg)ImgOps Exif Google Yandex

f373b No.2140

Noticed something interesting lately in the analytics space. Things seem to be shifting towards a more practical approach.

Anyone else seeing this?

f373b No.2141

File: 1788861386504.jpg (101.98 KB, 1024x1024, img_1788861344188_3gk8evm6.jpg)ImgOps Exif Google Yandex

spent way too much time last year building complex attribution models that nobody even looked at. my stakeholders just wanted to know if the recent spend actually moved the needle on revenue. transitioned to using simple last_click and date range comparisons bc it's easier to defend in meetings. heavy modeling is basically useless a vanity project unless u have a dedicated data science team to maintain it. we switched our focus to tracking conversion rate per channel instead of trying to predict the future. are u seeing this shift mostly in agency work or in-house?



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