Analytics
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Understand information in your reports and troubleshoot reporting issues such as self-referrals, (not set) data, and inaccurate information
 
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Gender determination

Visitor ✭ ✭ ✭
# 1
Visitor ✭ ✭ ✭

How does Analytics determine the gender of a hit?

1 Expert replyverified_user

Re: Gender determination

Rising Star
# 2
Rising Star
It looks to see if you regularly access Google Maps for driving directions. If you don't, GA assumes you're male.
_________________________________________________________________________
Director of Marketing | Nehmedia | Partner Profile

Re: Gender determination

Rising Star
# 3
Rising Star
Sorry, couldn't resist. Google describes how it determines demographic data in Google Analyitcs here: https://support.google.com/analytics/answer/2799357?hl=en#where
_________________________________________________________________________
Director of Marketing | Nehmedia | Partner Profile

Re: Gender determination

Visitor ✭ ✭ ✭
# 4
Visitor ✭ ✭ ✭
Thanks for your responses.
My question was only... how do you determine the genders of the hits? and,
for that matter, the ages?
Do you really identify those factors in each hit, or are you using some
kind of general averages?
And now I have an additional similar question for you, having to do with
location.
The website in question is that of a Catholic Church in Rockaway NJ. The
breakdown by location shows that almost 25% of the hits came from Russia.
Again, is this an actual count, or are you using some other way of
determining the location? There is little likelihood that somebody or
somebodies in Russia are interested in a little Catholic Church in New
Jersey. Is this the result of somebody over there trolling?

Re: Gender determination

Rising Star
# 5
Rising Star
Gender and age is inferred indirectly based on user behavior tracked over multiple sites. It seems to be fairly accurate at a statistical level. A user is assigned a probability of gender, age, interests, etc based on their behavior on multiple sites over time.

The geographic location is much more accurate - it is based on a reverse IP address lookup. However, my guess is that none of those 25% are actually even visiting the website. They are referral spammers sending hits directly to GA without going to your site.

It's an ongoing problem - there is a lot of discussion on solutions here in the community - see https://www.en.advertisercommunity.com/t5/Referral-Spam-Traffic/bd-p/Referral_Spam_Traffic
_________________________________________________________________________
Director of Marketing | Nehmedia | Partner Profile