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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1781718484804.jpg (320.75 KB, 1024x1024, img_1781718444797_4me1mjb1.jpg)ImgOps Exif Google Yandex

75b12 No.1768

ngl the move toward server-side implementation is becoming unavoidable as privacy regulations tighten around browser cookies. client-side tracking still works for basic page views, but you lose visibility once adblockers or ioss intelligent tracking prevention kick in. using a server-side setup allows you to control the data stream b4 it ever reaches the user's device. this makes your marketing attribution much more reliable bc you are no longer at the mercy of browser-level restrictions.
the trade-off is that server-side setups require more engineering resources and higher cloud infrastructure costs. client-side is def easier to deploy for small teams with zero budget, but it is becoming useless increasingly inaccurate for complex conversion paths. if you want to maintain a high roi on paid spend, you need a single source of truth that doesnt rely on third-party scripts.
>if the data isn't hitting your server, it basically doesn't exist for attribution purposes.
client-side is just a slow death for precision marketing

75b12 No.1769

File: 1781719364318.jpg (211.79 KB, 1200x1143, img_1781719348377_df40iok6.jpg)ImgOps Exif Google Yandex

>>1768
lowkey the cloud costs are the real killer if you aren't careful with your tagging logic. i've seen teams spin up a gtm server-side instance and accidentally blow their budget because they were forwarding every single unnecessary event like scroll depth or mouse movements. you need to implement a strict filtering layer on the server container to strip out all that junk before it hits your downstream endpoints.
>if you don't prune the payload, you're just paying google to process useless data

it makes the attribution much cleaner though since you can append custom user identifiers or hashed email data directly to the event. just don't forget to monitor your bigquery egress fees or you'll be in for a nasty surprise at the end of the month



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