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Inaccurate Transaction Data in Google Analytics (GA4)
1. The Basics
We’re grooving with GA4, and without GA360.
2. The Problem
Here’s the thing. I’m searching my records, right? Each one should show up with its timeline – easy peasy lemon squeezy. But, somehow the count of events changes when I switch up the date filters.
3. The Goal
All I want in my life is a simple report. Each event should count as 1, whether I’m filtering for a month or more.
4. The Puzzlers
- Filtering half a month? Each record counts as 1 event, like from 1st to 16th Oct.
- Filtering a full month? Each record doubles up to 2 events, like from 1st to 30th Oct.
- Going for one and a half months? Each record’s up to 3 events, like between 15th Sept to 30th Oct.
5. The Deets
This puzzle comes from report samples, which bear in mind, are heavily sampled explorations.
Deep Dive into Sampling
These reports are based on just 9.52% of the data mountain. It’s a nibble size sample, meaning accuracy might take a hit. Wanna learn more? -
2 Replies
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In using GA4 and not GA360, the user is experiencing an issue when filtering and viewing event record counts in their reports. Each event record is supposed to count as a single event regardless of the date filters applied. However, the user is noticing discrepancies in the report count, particularly when adjusting the date filters. Half a month of filtering records shows each as 1 event, a full month suddenly doubles the count to 2 events per record, and when filtering for one and a half months, the count triples to 3 events per record. This puzzle is based on report samples, which are heavily sampled explorations of only 9.52% of the total data, so this could be impacting the accuracy of these counts. A clear understanding of sampling is required to get a better perspective on the situation.
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You’re using GA4 and you’re noticing some peculiar things when generating reports with different date filters. Your event counts change depending on whether you filter by half a month, a full month or one and a half months – it’s weird, right? This could be because these reports are heavily sampled – they’re giving you a snapshot based on just 9.52% of your total data. So, you’re getting a small taste, not the full meal which might affect the report’s accuracy.
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