#1 You are using a UTM parameter that is not supported by GA4.
GA4 supports only the following UTM parameters
utm_id.
utm_source.
utm_medium.
utm_campaign.
utm_term.
utm_content.
utm_source_platform.
utm_campaign_id.
utm_creative_format.
utm_marketing_tactic.
Any UTM parameter that is not supported by GA4 will be ignored.
This is because GA4 does not know how to process these parameters.
#2 UTM parameters are not formatted correctly.
For example, you may be using ‘utm-source’ instead of ‘utm_source’. Or there could be a spelling mistake in the parameter name like ‘utm_surce’.
UTM parameters are case-sensitive in GA4.
This means that “utm_source=google” and “utm_source=Google” are treated as two different parameters.
The best practice is to use all lowercase for UTM parameters and values. Using lowercase will ensure that your parameters are consistent and easy to read.
In this example, the ‘&’ symbol is missing between the UTM parameters, which will result in incorrect tracking as it will prevent GA4 from correctly parsing the parameters.
With the ‘&’ symbol correctly separating each UTM parameter, GA4 will be able to accurately interpret and log each UTM parameter.
In this example, there is a space between “google” and “&”, which could cause issues with tracking.
The space character breaks the URL, and as a consequence, only the “utm_source=google” parameter would be correctly parsed, while the remaining part might not be recognized as part of the URL parameters.
By removing the extra space, all the UTM parameters are correctly formatted and should be properly tracked by GA4.
Example-3:
https://www.example.com/?utm_source=google&utm_medium=cpc&utm_campaign=spring sale
The space in “spring sale” is an invalid character in a URL and should be encoded (e.g., replaced with %20 or +).
In a URL, a space is not a valid character and should be encoded to ensure that the URL is correctly parsed and tracked.
In the case of UTM parameters, this is particularly important to ensure accurate tracking of campaign data.
UTM parameters are case-sensitive, so “Google” is different from “google” and “CPC” is different from “cpc”. This inconsistency can lead to inaccurate data grouping.
If you use different cases for the same UTM parameter, GA4 will treat them as different parameters.
This can lead to your data being grouped incorrectly, which can make it difficult to track the performance of your marketing campaigns accurately.
For example, if you use both “Google” and “google” as the utm_source parameter, GA4 will treat them as two different sources. This will make it difficult to track how much traffic you are getting from Google overall.
To avoid this problem, you should use consistent casing for all of your UTM parameters.
It is generally recommended to use all lowercase for UTM parameters and values.
In this example, the & character within the campaign name “spring&summer_sale” should be percent-encoded as ‘%26’ to avoid confusion with the parameter separator.
When you create a URL with UTM parameters, each parameter is separated by an ampersand (&).
This tells the server that there are multiple parameters in the URL.
However, if you have a parameter value that contains an ampersand, the server will not be able to distinguish between the parameter separator and the ampersand in the parameter value.
This can lead to the URL being parsed incorrectly.
To avoid this problem, you should percent-encode any ampersands in your parameter values.
This means that you should replace the ampersand with the code ‘%26’.
Example-7: Duplicate UTM parameters in a URL.
In GA4, when there are duplicate UTM parameters in a URL, GA4 will use the value from the last occurrence of the duplicate parameter.
GA4 does not give you the liberty to tag internal links.
UTM parameters on internal links can override the original source/medium data.
For example,
If a user initially came to your website through a Google search (organic) and then clicked on an internal link with UTM parameters, the source/medium might be reported as the parameters set on the internal link rather than Google.
This can distort your understanding of where your traffic is coming from.
Therefore, it is recommended to avoid using UTM parameters on internal links to maintain the accuracy of source/medium attribution.
Instead, consider using other tracking mechanisms like events to track internal navigation while preserving the original source/medium data.
#6 You are using the word “shop” in the ‘utm_campaign’.
If the ‘utm_campaign’ contains the word “shop” (case-insensitive), and the ‘utm_medium’ matches the regex pattern ^paid.*$, then GA4 will classify the session as “Paid Shopping”, regardless of the ‘utm_source’.
This rule was likely designed with Google Shopping Ads in mind, but it disrupts correct attribution when you are running paid campaigns across multiple channels like Facebook or TikTok.
So a campaign tagged with utm_campaign=shop_launch and utm_medium=paidsocial will always be labeled “Paid Shopping” in default reports, even if utm_source=facebook.
The first approach is to avoid using the word “shop” in the ‘utm_campaign’.
For example, change ‘spring_shop_sale’ to something like ‘spring_sale’ or use a synonym like “store” or “promo” to avoid triggering this rule.
Another option is to slightly modify the ‘utm_medium’. GA4’s rule matches any medium that starts with “paid” using the regex ^paid.*$.
So, “paidsocial”, “paidmedia”, or “paidads” will all match and trigger the Paid Shopping classification. Instead, you could use alternatives like “social_paid” or another variation that doesn’t start with “paid”.
Another option is to create a custom channel rule that says if the source is “facebook” and the medium is “paidsocial”, then classify it as “Paid Social”.
However, the most robust and scalable solution is to use GA4 BigQuery exports and apply your own logic in SQL.
For example, if source = ‘facebook’ and medium = ‘paidsocial’, you can assign it to ‘Paid Social’ directly in your query.
This gives you full control and avoids the limitations of GA4’s default logic.
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