Google Explains How Redirect Settings Affect SEO
The Google-ification of TikTok: How to Use Keyword Packs and Impression Share
How Churning Out Ads Destroys Your Advertising Budget
Your Google Ads offline conversion data may be less reliable than you expect. During a detailed analysis of the system’s operation, two unexpected platform behaviors were discovered that could significantly affect the accuracy of your reporting:
These issues make it difficult to determine exactly how many conversions Google actually counted and cast doubt on the accuracy of reporting across different accounts. After an extensive analysis of discrepancies and consultations with Google Support, we have prepared a detailed breakdown of the causes behind these anomalies and actionable steps to resolve them.
Many marketing agencies and large brands (for example, national retailers managing separate online stores or sub-brands under a single MCC manager account) import offline conversions into multiple ad accounts via a single upload. This is a logical solution that saves time and reduces operational load compared to splitting files for each account individually.
Historically, Google would only accept an uploaded GCLID (Google Click Identifier) or phone number in the account that directly generated the click or call, rejecting it for all others.
However, the algorithm has now changed. If you use the same conversion action name (e.g., “Purchase” or “Qualified Lead”) across different accounts, Google may accept a conversion in an account that had nothing to do with generating that click or call.
This problem was discovered using the example of a multi-brand advertiser with standalone Google Ads accounts for each brand under a unified manager account. Sales data was sent to Google via offline conversion imports, with each account featuring a conversion action bearing the exact same name. During analytics reconciliation, it became clear that specific GCLIDs were somehow being duplicated and accepted by multiple ad accounts simultaneously.
After lengthy discussions with Google Support, an official response was received: this is expected system behavior. If you upload a GCLID or phone number to an account, and the conversion action name in the file matches the name in that account, Google can approve the upload even if the click occurred in another campaign within a different account.
Yes. In the UI of certain accounts, you can see conversions tied to specific campaigns, even though those campaigns did not physically generate them.
According to Google Support, these “false” conversions are not factored into Smart Bidding algorithms, and conversion credit goes only to the campaign that generated the click. In practice, however, these conversions appear in the “Conversions” column and directly impact the Cost Per Acquisition (CPA) calculation in reports. Independently confirming whether they affect the learning of automated bidding strategies is currently impossible.
No. In many cases, Google still returns an error message stating that the conversion was rejected because the click was not associated with the account. The algorithm dictating when Google accepts these conversions and when it does not remains opaque.
To prevent offline conversions from being attributed to the wrong accounts, marketers and analysts should implement one of the following three strategies:
When you upload offline conversions, Google returns a status indicating upload recognition.
Previously, marketers reasonably assumed this status meant unconditional acceptance of the conversion by the system. However, as Google Support clarified, the initial upload validation only checks three basic things:
Full attribution verification happens much later. Therefore, the “#OK” status in the upload history only proves that the row was readable. It does not mean the conversion will be counted in final statistics. Often, the number of conversions actually displayed in the account is significantly lower than the number of rows marked “#OK”.
Support provides two main explanations for potential discrepancies:
Do not rely solely on the upload status. If you upload 100 conversions (for example, statuses from a CRM system) and Google marks 90 of them as “Successful”, it creates an illusion of a 90% acceptance rate. But if only 60 conversions ultimately appear in the ad account, your real successful import rate is 60%, meaning the algorithms are missing critical data.
Solution: Regularly reconcile the number of uploaded offline conversions against the conversions actually appearing in the ad account. Keep in mind that in standard reporting columns, Google attributes a conversion to the date of the click, not the date the conversion occurred. Therefore, daily figures may not match exactly, especially in niches with a long decision-making cycle (like real estate or B2B services).
Recently, the Google Ads Developer Blog announced improvements to the offline conversion import process, which rolled out during April and May of this year (without breaking API compatibility). Key changes include:
EXPIRED_EVENT and CONVERSION_PRECEDES_EVENT errors.UNAUTHORIZED_CUSTOMER and INVALID_CUSTOMER_FOR_CLICK errors, potentially increasing overall attribution rates.The unexpected behavior of the offline conversion tracking system makes data verification a critical stage in a performance marketer’s workflow. Given that conversions can “settle” in the wrong accounts and successful upload statuses do not equal actual report data, we recommend adhering to the following rules:
Until Google makes the import process more transparent, the core rule remains unchanged: never automatically assume that a “Successful” status guarantees 100% analytical accuracy.
Read this article in Ukrainian.
Say hello to us!
A leading global agency in Clutch's top-15, we've been mastering the digital space since 2004. With 9000+ projects delivered in 65 countries, our expertise is unparalleled.
Let's conquer challenges together!
performance_marketing_engineers/
performance_marketing_engineers/
performance_marketing_engineers/
performance_marketing_engineers/
performance_marketing_engineers/
performance_marketing_engineers/
performance_marketing_engineers/
performance_marketing_engineers/