When I select a short period (1 week) I get a correct visits number, however when I select a big period like (1 month and +) I get less than 50% of results, this problem is started from 17 january.
Even though you are not mentioning it in your question, I assume the "issue" is related to data-sampling that occurs if your report include data from more than 500,000 visits.
See this page on Google Analytics Help that explains everything.
Also, check out this related question that might help you to get un-sampled data.
Yes, that's right it's data-sampling but in addition this problem is du to an other parameter that's hostname condition was based on visit filter I set it to user filter and that's work fine now. Thank you all for your responses.
Related
For my recent project, i m trying to develop a brand new report for google analytics using the Sessions data over a period of time.
When I compare the numbers that I get from https://ga-dev-tools.appspot.com/query-explorer/ and check the report that we have created in analytics.google.com the numbers for sessions are off. They dont match exactly. They are off by like 1%. What might be the reason for this.
Can someone please help me here?
I can give more details if needed.
Thanks
Adding to the above , one more thing I noticed
This happens only When I add Segment filter to be specific. Without the segments the numbers for all users look good.
Had a call with Google Analytics support. They say that there isnt actual support for the Rest Api code and the Front End report from Google Analytics has built in Logic to filter out certain personal information like age related, sex, etc. which is not there in the Rest Api when it pulls in data.
So this is the reason why the numbers are off by 1% all the time.
Hope this helps
Thanks
I am facing a problem in GA analytic. My own analytics tells the different thing about no. of user made sign up while GA tell something else.
This is the goal designation codmedialert.com/accounts/register/complete/
The funneling is like
codmedialert.com/accounts/register/
codmedialert.com/accounts/register/complete/
codmedialert.com/accounts/activate/complete/
Is it something wrong with the goal created or analytics is telling me wrong.
You can get immediate results by going to realtime->conversions.
For the rest of reports it takes few hours, you just have to set the date range to "today"
Impossible to know anything else by viewing only the urls you posted, please debug by using the real time view
Our website has many related products from a large number of different brands
I'd like to try and use Google Analytics data to find out, on average, how many different brands - which I have set as a hit level custom dimension - a user will look at over a given time period
I'm not sure if this is possible, but it would be really cool to know!
Helps with understanding brand loyalty/defection
I started by creating a simple custom report to see how many manufacturers get seen by how many users, but I don't know where to go next with this question in order to answer it!
Is there a way to find out the number or % of returning users (who come to the website every month) via google analytics?
In other words, I am trying to find out the number of users returning every month to the website (at least for 6 months) not just simply returning once or twice.
the short answer is yes. See this post for more details
The longer answer is to use a custom variable that is scoped at the visitor level
http://code.google.com/apis/analytics/docs/tracking/gaTrackingCustomVariables.html
that would be populated as 'Repeat Visit' depending on the session number data extracted from the utma visitor cookies:
http://blog.vkistudios.com/index.cfm/2010/8/31/GA-Basics-The-Structure-of-Cookie-Values
Hi guys, I was wondering if anyone have the same problem as I do. I have 2 trackers which are Google Analytics and Piwik but after sometime I found out there is a discrepancy. Please read below for more information.
Here is data for yesterday (with New Piwik Last Week v1.7.1 version then).
GGA : 14 803 visits (Unique Visistors)
Piwik : 10 254 visits (Unique Visistors)
31% discrepancy.
Question
What do i have to do to match the records? or which of the statistics is the correct ones?
Any advice would be much appreciated.
Respective to the different programs they are both correct. The difference comes in in HOW they calculate what a unique visitor is. No two stats aggregators work the same.
Google Analytics What's the difference between the 'Absolute Unique Visitor' report and the 'New vs. Returning' report?:
Absolute Unique Visitors
In this report, the question asked is: 'has this visitor visited the website prior to the active (selected) date range?' The answer is a simple yes or no. If the answer is 'yes,' the visitor is categorized under 'Prior Visitors' in our calculations; if it is no, the visitor is categorized under 'First Time Visitors.' Therefore, in your report, visitors who have returned are still only counted once.
Piwik FAQs:
How is a 'unique visitor' counted in Piwik?
Unique Visitors is the number of visitors coming to your website; Unique Visitors are determined using first party cookies.
If the visitor doesn't accept cookie (disabled, blocked or deleted cookies), a simple heuristic is used to try to match the visitor to a previous visitor with the same features (IP, resolution, browser, plugins, OS, ...).
Note that by default, Unique Visitors are available for days, weeks and months periods, but Unique Visitors is not processed for the "Year" period for performance reasons. See how to enable Unique Visitors for all date ranges.
They both use cookies to determine uniques, but both go about it calculating them in different ways. It's apples and oranges when comparing stats packages side by side.
Examine the rest of the stats beyond unique visitors. If there is a wide margin across the board, take a close look at the implementation of both.
If all is well with both implementations, then pick one and go with it for the stats. Overall trends is what you are looking for. Are the stats you want to go up going up? Are the stats you want to go down going down?