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  • Obtaining a comprehensive user list with unique identifiers in Google Analytics

    Posted by William on 20 April 2022 at 1:59 pm

    Hey there! I’m fairly fresh to Google Analytics and APIs, so bear with me as I try to navigate these waters.

    I’m curious if there’s a way to snag a list of everyone who’s popped by our site, each with their own unique ID. This kinda ID could help me link up a user with their location, or maybe with their device, you know?

    I’ve been snooping around the query explorer, but I can’t tell if this is actually something I can pull off.

    Layla replied 1 year, 4 months ago 3 Members · 2 Replies
  • 2 Replies
  • Lucas

    Member
    29 August 2022 at 8:27 am

    Hey there! So, in a nutshell, what you’re asking for isn’t really something that can be done with Google Analytics alone. Google takes user privacy very seriously, so they don’t allow any personally identifiable information (like email, phone numbers or social security numbers) to be passed through their system.

    But, if you’re tracking user details in your own system and assigning each user an ID, that’s another story. You’d then use these IDs as a custom dimension in Google Analytics, allowing you to tag the data you’re interested in without shuffling through any personal info.

    Keep in mind though, it’s super important to be cautious when handling user data, always making sure not to cross any lines into personal identifiable info territory. When in doubt, always best to check with a professional! Happy analyzing!

  • Layla

    Member
    27 September 2022 at 11:45 pm

    Google Analytics doesn’t provide a way to identify individual users. Google’s policy prohibits sending personally identifiable information to Google Analytics. However, you can track individual user behavior in aggregate using the User-ID feature. This feature assigns a unique ID to each user when they sign in to your site, allowing you to track user engagement and sessions. However, it doesn’t allow you to track personal information like the user’s location or device.

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