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Ask questions about filter set-up and issues with using filters in Google Analytics reports
 
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Google Analytics Custom Reports

Visitor ✭ ✭ ✭
# 1
Visitor ✭ ✭ ✭

Hi,

 

I'm new to the Google Analytics community. I had a question regarding creating custom reports. I want to display basic data such as pageviews, date, time on page, IP address, etc broken down by individual page. In order to do this I created custom reports that were filtered by the specific URL for each individual page. However, depending on which dimensions and metrics I include in the custom report, the number of data points (sessions) varies despite trying to analyze the data for the same page. How can I correct this? Would I be able to achieve better success using segments and conditions rather than filters?

 

Thank you!

 

 

1 Expert replyverified_user

Google Analytics Custom Reports

Top Contributor
# 2
Top Contributor

Hey Mathew, 

 

A few things you can do here: 

#1) Go to the right-hand corner, click on a square below the date selection area that should say "Control the number of sessions used to calculate this report". From there you can move the dot all the way to the right hand. 

 

#2) Analytics works on Sampling except when you use custom reports and then typically it will compile the entire data set instead of sampling it for you. That being said you can exceed your accounts data limits which will result in sampled data even in custom reports. 

 

Let me know if this answers you question, 

- Josh 

 

Joshua, Top Contributor
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Re: Google Analytics Custom Reports

Visitor ✭ ✭ ✭
# 3
Visitor ✭ ✭ ✭

Hey Josh,

 

Thanks for your response! I tried suggestion #1 (increasing the precision), but ended up getting the same results. Also, I understand that GA works on sampling, but in my case, I don't think there is enough data to reach the limit. I have included some pics to illustrate the issue. For instance, if I create a custom report using the report shown below, there will be 2661 rows in the custom report. However, if I delete the date dimension, then the number of rows decreases to 1660 as seen in the second picture. Is there any other possible solution?

 

Thanks,

 

Matt

 

 

analytics.pnganalytics 2.png