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What are two reasons why there may be a discrepancy in data between Google ads and a third party app Analytics provider?
There are a number of reasons why Google Ads and Analytics may report different numbers of clicks and sessions:
- Clicks and Sessions are different metrics.
- Google Ads filters invalid clicks from your report, while Analytics shows all data.
- You turned off auto-tagging for your URLs in your Google Ads account.
What is the difference between new users and users in Google Analytics?
In the Audience > Overview report, “Users” is a total count of users during the report period, and “New Users” is just users in the report period that had only their first visit to the property during that period.
What is a data discrepancy?
Generally speaking, a data discrepancy is when 2 or more sets of comparable data don’t match up. And, despite sounding kind of technical, it isn’t something that is unique to big data or adtech.
How does Google Analytics identify returning users?
Google’s tracking snippet, which detects browser cookies, will identify a ‘returning user’ if a cookie is present, and a ‘new user’ if a cookie is not present.
Why is my Google Analytics count so high?
In advanced implementations of Google Analytics, you can reduce that problem by implementing a cross-device User-ID in your website. But without that, some of your ‘new’ users could actually be returning users, and so the total Users count in any report is probably over-inflated a bit.
How to get Google Analytics unique user count?
A total unique user count can be obtained by asking for ‘Users’…that’s it, no Date column, no Source, no Country…just ‘Users’. So when you are building you own custom report, how do you get Users numbers that match Google Analytics?
How many people visited Google Analytics on both days?
That is because 33 people visited ON BOTH DAYS, and a sum is counting them twice (816 actual 2-day total + 33 users visiting both days = 849 summed). NEVER add Users numbers together to get a total.
How are new users and returning users related in Google Analytics?
Users != New Users + Returning Users. The total number of users reported by Google Analytics is not equal to the sum of New Users and Returning Users: This is because Google Analytics also count new users as returning users if they return within the selected time period.