[Abigail]

It appears you’re experiencing an issue where disabling performance cookies via the OneTrust tool on “stackoverflow.com” does not stop Google Analytics 4 (GA4) from making network calls. From what you’ve described and the screenshots you’ve shared, it does seem unexpected if GA4 network calls continue even after disabling the corresponding cookies. However, there are a few potential reasons why this could be happening. It’s possible that GA4 might not be correctly categorized under performance cookies within OneTrust’s settings. Alternatively, GA4 might be using other types of cookies or techniques like local storage or fingerprinting to keep tracking. Occasionally, GA4 might also send some last bits of data before fully respecting the new settings. If the issue persists, you might need to contact the website administrators to ensure the consent tool is working as intended.

[Abigail]

It could be a delay due to changes in your property timezone; data export is based on a 24-hour snapshot of the property and timezone changes can affect this. Try using ‘streaming export’ for continuous data export, as daily export only happens once a day. Also, ensure your project or service account has an ‘editor role’ for data export.

[Abigail]

Alrighty! So here’s the scoop. Your GA4 to BigQuery Streaming Export is working exactly how it’s supposed to. You see, the events table is only put together if you’ve selected the daily option. Not there? Don’t panic, it’s all chill.

Now, if you happen to have the streaming option selected, what happens is your streaming data is sort of teleported over to the events tables throughout the day. Then, when a new day rolls around, all the data from the previous day is transported into the events table too. It’s similar to refilling your coffee cup, it just keeps ‘topping up’.

Oh, and another important thing! Your streaming tables should remain the same as long as you’ve got a billing account all set up and have tweaked the expiration on both the tables and the entire data set. Not too sure about how to do that? No worries, I’ve got your back.

Check out this guide right [here](https://www.teamsimmer.com/2022/11/15/how-do-i-change-the-table-expiration-in-google-bigquery/#:%7E:text=Update%20the%20expiration%20time%20for%20existing%20tables&text=You%20could%20open%20each%20table,toggle%20the%20expiration%20date%20off.), it’s super helpful and gives you the lowdown on how you can change the expiration date on multiple tables all at once. Still confused? Give it a reread! You’ve got this. Have a good one!

[Abigail]

Unfortunately, Google Analytics 4 does not currently offer a feature to adjust the width of panels directly on the interface. However, you may consider using browser zooming features or horizontal scrolling to see the full URLs. Alternatively, you may export the report to another program like Excel where you can adjust column widths freely. Google is continuously updating and improving their platforms, so this feature might be added in the future.

[Abigail]

As of now, Google Analytics Data API doesn’t have a direct cost per additional row or token once you go over the free quota. However, exceeding the quota frequently might lead to rate-limiting of your requests or even suspension, so it’s best you request a quota increase beforehand. The pricing would then depend on your deal with Google. I advise watching request numbers closely and consider using filters to limit data and stay within quota.

[Abigail]

Unfortunately, there isn’t a straightforward way to determine exactly when the data is ready via an API query in the GA4 API. As you’ve noticed, the data settling time can be quite inconsistent. This is due to various factors such as how long it takes for data to be processed and exported, which isn’t a fixed amount of time. While it’s true that the export to the BigQuery dataset usually signifies that the data is stable, this can sometimes take place after the API data becomes available. The timing can depend on the specific circumstances of your website’s traffic, the region you’re in, and Google’s internal processes. While minor adjustments can be made to the data a few days after they’re initially processed, these are typically not significant enough to impact overall analysis and decision making. So in some cases, it may be necessary to adjust the time when you pull the data to account for these factors.

[Abigail]

This issue you’re experiencing with Google Optimize and GA4 displaying “0” in the “Calculated Events per Client” box despite having your AB test running is unusual. Generally, such a problem shouldn’t occur if your GA4 Conversion objective, as shown in your first screenshot, is working fine and your ‘Pageviews’ goal is adequately filling up the box with numbers which you’ve shown in the second screenshot. One possibility could be an issue with the decimal places displayed by Google Optimize but even then, you should see some activity like 0.01 events per client. It’s good that you checked and found the events and GA4 tracking to be running normally. As it stands, this seems like a very specific technical issue that might need further investigation.

[Abigail]

In basic terms, your website’s PayPal transactions aren’t being tracked properly in Google Analytics 4 (GA4), though the credit card ones are just fine. Despite the data being correctly passed to GA4 after a PayPal purchase, the tag that’s supposed to tell GA4 about it isn’t triggering. You’ve ruled out the common issue of referral exclusion so it’s a bit of a mystery, but you’re considering if the problem might be the sequence of events, like the data being ready before the tag can handle it due to users leaving your site to pay through PayPal.