Richard Landry

Reminder >> Avoid analyzing the #GA4 data until the full three days have elapsed. That means no data analysis for today and the last two days. And real-time reporting and analysis are simply out of the question. In GA4, events are processed even if they arrive up to 72 hours late. Such events are called ‘late events’ as they are not sent immediately. That means it may take up to 3 full days for data to be fully processed and available in your GA4 reports. You may see incomplete/inaccurate data and draw wrong conclusions if you analyze the data before it has been fully processed. . . For example: 1) You may see a value of (not set) for a custom dimension during the first 24 hours after its creation. 2) Sometimes, you may need to wait for up to 48 hours for (not set) to disappear from your GA4 reports. 3) Server-side tracking can sometimes delay data processing, especially if your server is experiencing high traffic or latency. In such cases, data might not be available in GA4 reports immediately, and you could see (not set) values temporarily. . . 4) Data sent via the Measurement Protocol can be submitted with a delay, especially if it includes backfilling historical events. 5) If you use the GA4 data import feature to enrich your data, it can take time for the imported data to be processed and integrated with your standard event data. 6) Building and populating audiences, especially with more complex criteria, might not be instantaneous. It can take time for all users to be evaluated against the criteria of new or modified audiences. . . 7) If your GA4 property receives late events, it will take time for all events to align correctly with their respective sessions. 8) Some reports or metrics might update faster than others, leading to temporary inconsistencies between different views or summaries of your data. 9) GA4 aggregates data at different levels (e.g., user, session, event, item), and some of these aggregation processes can introduce delays, especially with large data volumes. . . 10) Sometimes, data might need corrections or adjustments due to filters, data imports, or other configurations. These adjustments can introduce additional processing time. 11) If you are integrating GA4 with Google Ads or other advertising platforms, there is often a delay in importing data, which can introduce temporary inconsistencies between different reports.