Enable demographics in google analytics - google-analytics

My blogger website is linked to google analytics. Now I want to get demographics data I have enabled it in the settings but still, it is not giving any data about demographics

You may need to wait a few days, or longer; particularly if your site has a low volume of sessions per day. Google will not show you the data below a certain threshold as this becomes to close to revealing individuals by, for example, age, gender and location.
Read more here, particularly on data thresholds.

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Google Analitycs - Demographics

I just turn on demography, copy and insert tracking code in my head tags,
it showing when i use page but not show my gender and age,
it's need time ?
online users
demography
thanks.
Demographics data do not work in this way, they do not represent 100% of users and require reaching a certain threshold of data to be displayed.
Demographics and interests data may only be available for a subset of your users, and may not represent the overall composition of your traffic: Analytics cannot collect the demographics and interests information if the DoubleClick cookie or the Device Advertising ID is not present, or if no activity profile is included.
https://support.google.com/analytics/answer/2799357?hl=en
Example with test: https://www.analyticstraps.com/i-report-con-i-dati-demografici-non-tornano/

Can we track average age of users from a particular channel using Google Analytics

I am using the Google Analytics Referrer to track the channel of my downloads. Now what I want to do is analyse the quality of users we are getting from each channel, so that we can focus more on channels which give us better quality users. For starting I want to track something which is like Average age of users from channel A (Month Wise). Does google analytics gives you the provision of analysing this type of data given we will pass the age of each user to GA. If not google analytics, what could be other tools I can use for the same. Thanks a lot.
It's so easy. Open channels report and add second dimension - Age. That's all.

Google analytics data adjustment?

I've been using a SSIS Integration component to download data from Google Analytics in order to keep an historical view of some websites and track the evolution of them. Basically the metrics we track are Visits (now Sessions) and Visitros (now Users), and the dimensions are Year and Month. However, today I noticed that the data I downloaded for july had a variation on the Users metric. I heard that google analytics uses an estimation method to "calculate" some (if not all) of their metrics, could it be that after that they "adjust" the data with more acurate information? If so, is this mentioned in the documentation? (a link would be highly appreciated) Since the users are complaining that we are not delivering the real GA Data. I tried looked on the Google analytics documentation page with no luck.
Thanks for your time.
PS: Sorry for my english, it isnĀ“t my native language
If you are using the standard version of Google Analytics (you'll know if you are paying $150k for premium), data is sampled depending on volume. Have a read of this article can-you-trust-your-google-analytics-data
I have seen very slightly differing results being returned if you repeatedly call the api with the same historical parameters repeatedly. In my case the figures only differed by 1-2 over a daily set of several thousand, but nevertheless it differed.
If you want to guarantee your results, consider upgrading to premium
Sampling could be an issue if what you are requesting is over 50,000 rows for the time period you are requesting. To avoid it you can download more often, such as daily.
But I think your issue is that there is a processing time for Google Analytics - if you are downloading at 3 am on the 1st it is probable that the processing for the previous day has not finished.
Google Analytics Premium SLA is for 4 hour data freshness, so even that would have trouble. Pragmatically you should allow 24 hours before you download data for the previous day, 48 hours for e-commerce data.
Thirdly make sure it is not Unique Visitors you are requesting, as this is dependent on the time period you are requesting.

View Adwords Quality Score in Google Analytics

I have an Adwords account linked to a Google Analytics account and I am wondering is there a way to view or import the keyword quality score from Adwords to be viewed in Analytics?
Or would this have to be pulled from the Adwords API and joined to Analytics data separately?
Thanks.
Keyword Quality Score cannot be directly imported to/viewed in Analytics. It is provided as a metric after the fact, but not a current state/output that you could append as a UTM variable.
Joining the Adwords Data to Analytics after the fact would be flawed too, as Quality Score is fluid (recalculated often). Unless you are pulling and tracking Quality Score Data multiple times daily, you will find inaccuracies. If you take the keyword data for the last 30 days in Analytics and then pulled your Keyword Quality scores and married that data, you would be projecting the the Keyword Quality Score from the single moment in time that you pulled the data onto the previous 30 days of performance. This is problematic because the Keyword Quality Score could have been much higher or lower for the majority of the 30 day date range.
We currently manually download QS data via Adwords Editor on a weekly basis. It isn't an ideal situation but it does give us visibility over the account over time.

How do you do cohort analysis in Google Analytics?

Tools like Mixpanel, KISSmetrics and others support cohort analysis out of the box but I've heard that you can do this with a bit of effort in Google Analytics as well. How do you set this up if you want to track, say, the daily and weekly retention of your visitors?
Google Analytics can do a lot but retention analysis is one of it's weak points. Since it tends to focus on visits (as opposed to visitors) you'll need to configure the cookie tracking yourself using Google Analytic's custom variables. Having said that, it's not too hard to get a simple solution running quickly.
First, decide how to layout the data in Google Analytic's custom variables based on your requirements. For example, are you storing retention dates for daily, weekly or monthly tracking? Do you also want to track cohort goals? Partition this data into the available custom variable slots.
Write the cohort data to these custom variables when visitors arrive or achieve goals using Google Analytic's _setCustomVar function. Setting the fourth parameter of that function to 1 indicates you want to do visitor-level (cookie) tracking.
For each cohort you wish to analyze, create an advanced segment in Google Analytics. Using a regex expression in the condition will give you the flexibility to segment for interesting cohorts. ex: "All users whose first visit was the week before Christmas".
Analyze the results with reports by specifying a date range and the corresponding cohort-sliced advanced segments. Another option is to extract the data using the Google Analytics Data Feed Query Explorer or their API.
Once you've put in the work your new visitors will be stamped by their first visit date and nicely fall into each daily or weekly retention bucket. If you need more detail there's a full walk through on my blog:
How to do Cohort Analysis in Google Analytics.
This really interested me so I did a little research and basically you have to customize the GA javascript in the pages to upload custom variables into google.
Once you have done that you need to go to "Advance Segments in Google Analytics" and select your custom variables. Here is a detailed description on how to accomplish this:
Hacking a Cohort Analysis with Google Analytics

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