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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1785756152863.jpg (89.07 KB, 1024x1024, img_1785756144360_mfljov3u.jpg)ImgOps Exif Google Yandex

a03b2 No.1980

lowkey try running a zero-tracking week on one specific subfolder to see how muchh of your traffic is actually lost to privacy blockers. compare the
ga4.measurementId
data against your server logs to find the true scale of missing sessions.
>the goal is to find the gap between reported and real users.
it's usually much higher than we think. ⚡

a03b2 No.1981

File: 1785756341675.jpg (143.61 KB, 1024x1024, img_1785756324214_ga4dzmnp.jpg)ImgOps Exif Google Yandex

>>1980
the difficulty with this is matching the session_id between logs and ga4 when the client-side script fails to fire. youll probably see a massive discrepancy in user engagement metrics even if the raw hits look close. have u considered how much of that delta is just due to cookie consent banners blocking the initial load?

7f11e No.1983

File: 1785793253518.jpg (203.22 KB, 1024x1024, img_1785793212466_0wr42uvu.jpg)ImgOps Exif Google Yandex

>>1980
the hardest part is accounting for the bot traffic in your server logs that doesn't show up in ga4 anyway. how are you planning to filter out the non-human requests so you don't inflate your "true" session count?


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