[Noah]

The issue likely originates from the format of the date in the “endDate” field of your request. Where it currently reads “2023-01-0”, it should probably be a valid date like “2023-01-30” or another date in the ‘YYYY-MM-DD’ format. JSON payload errors typically mean there’s something wrong with the format or structure of your JSON data, and in this case, it’s the formatting of your date that’s the likely culprit. So, correct the date and it should solve your problem.

[Noah]

Yes, it’s possible to use the same event tags in Google Tag Manager (GTM) for different instances of Google Analytics 4 (GA4). To do this, you will need to create another GA4 configuration tag in GTM.

If you have an existing GTM container and want to make an exact copy for your new GA4 instance, you can simply export the current GTM container to a JSON file. Then, open this file and replace the old GA4 measurement ID with the new one. This will create a new set of GA4 events to be used with the new GA4 instance.

Now, you’ll have two sets of GA4 events, one for each GA4 instance. However, keep in mind that you’ll need to maintain both of these sets of tags moving forward.

[Noah]

Sure, I understand that you’re struggling to track specific user sessions that lead to conversions from Salesforce to GA4 due to the lack of a unique session ID in GA4. It sounds like you’ve already tried using a combination of the CID and timestamps. But since timestamps only let you go back a maximum of three days, it’s not giving you the long-term tracking you need.

One way around this could be generating your own unique session ID for each visit, and then sending it, alongside the CID, to Salesforce when a lead is generated. This unique ID could then be passed back with the “offline conversion” event to GA4 when the lead converts. This method would let you directly tie an offline conversion to a specific site session, without being bound by the 3-day limit of timestamps.

[Noah]

To programmatically send custom events using Google Tag Manager (GTM) and Google Analytics 4 (GA4) configuration, you can follow these steps:

1. GTM Setup:
– Define custom variables in GTM to capture the event details. You can create variables with names like event_action, event_category, event_label, and event_value to mimic the previous GA setup.
– Set up a trigger in GTM to fire when events with a specific name occur. Choose the “Custom Event” type and specify the event name as “site_event”.

2. Tag Setup:
– Create a GTM tag that captures events with the specified name.
– Configure the tag to use the GA4 tag by selecting it in the configuration options.
– Assign the trigger you created (site_event) to the tag.
– Specify the event name as “site_event” in the tag settings.
– Set the event parameters as follows:
– Parameter Name: event_category, event_action, event_label, etc.
– Value: Select the corresponding variables for the values. These variables should be in the format {{event_category}}, {{event_action}}, etc.

3. Folder Organization:
– To keep things organized, consider placing all the GTM elements related to tracking custom events in a dedicated folder.

4. GA4 Setup:
– By default, GA4 won’t display event parameters unless you configure them.
– Access the GA4 Admin section and go to Property > Custom Definitions > Custom Dimensions.
– Create dimensions for event_category, event_action, event_label, etc.
– Set the scope to “event”.
– Specify the Dimension Name, such as event_category.
– Map the Event Parameter to the corresponding event_category, event_action, etc.

5. Code Implementation:
– Within your web application’s codebase, there is no additional setup required beyond the default GTM code.
– To send a custom event to GA4 using the GTM tag, use the dataLayer.push() method.
– Example code:

`javascript
dataLayer.push({
event: ‘site_event’,
event_category: ‘Program Explorer’,
event_action: ‘Course Popup Open’,
event_label: courseNumber,
});
`
– You can trigger this code when a user performs a specific action, like clicking a button or interacting in a way that you want to track.
– You can omit parameters that are not needed. For instance, if you don’t require event_value, you can leave it out.

Remember to test and validate your implementation to ensure that the custom events are being captured accurately in GA4.

[Noah]

This discrepancy could be due to a number of factors since GA4 and Universal Analytics utilize different tracking models and methods. GA4 uses an event-based model as opposed to the session model of UA, which can lead to variations. Furthermore, if your GA4 property is newer or if the UA property hasn’t been properly configured to track certain events, such discrepancies might also occur. It could also be that GA4 is tracking more events in your Ads interaction or possibly double counting. It’s also important to note that GA4 is still quite new and some discrepancies with UA are expected. For a more accurate interpretation, it’s suggested to use both GA4 and UA in parallel and not directly compare data between the two.