What is the difference between user location on a campaign level and location in click data?
In your ClickPatrol dashboard, you may notice that the user location reported at the campaign level differs from the location data we provide in our click analysis. This distinction is important for ensuring accurate campaign performance and identifying potential non-human behavior.
How we analyze location data
We analyze click location data in two categories:
Google’s User Location Data
The user location shown at the campaign level is what Google identifies as the geographical location of the user who interacted with your ads. However, this data is not always precise, as it relies on Google’s identification methods, which can sometimes be affected by factors like VPNs (Virtual Private Networks) or proxies that obscure the user’s true location.
Our Enhanced Location Data
In addition to Google’s data, we purchase and integrate information from multiple data suppliers (up to eight sources). This allows us to provide more refined location details, especially when Google’s data might be inaccurate. For example, Google may identify a click as coming from France, but based on our additional data, we can determine that the click actually originated from India, likely hidden behind a VPN or proxy.
How We Identify True Location
Using a combination of feed data, proxy data, and other identifiers, we can often pinpoint the original location of a click more accurately. While it may not always be exact down to the city level, we can usually identify the general region or organization responsible for the interaction.
When there is a mismatch between the location Google reports and the more accurate location we identify, this discrepancy can signal non-human behavior. For example, clicks coming from an unexpected location (such as a company masking their IP behind a proxy) may trigger our system to flag the interaction for further analysis as potentially suspicious or fraudulent.
By understanding the differences between Google’s location data and our enhanced click data, you can better interpret your campaign performance and identify potential issues, such as non-human or fake that may affect your results.
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