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.
Related
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.
I'm looking to use google analytics for its web interface only. A large dataset such as gasoline prices would be submitted to analytics via the api and viewed. Is this possible? Or is analytics purely tailored to viewing website statistics?
The Google Analytics data model is really geared toward datasets that can be thought of in terms of users, sessions, and hits (hits being things like pageviews and events).
If your data can be thought of in these terms, it will probably work. If, on the other hand, you're trying to do things like joins or calculate averages or other statistical operations, you're probably better of using something else.
While the others are correct, Google Analytics is geared towards users, sessions, and hits. It is none the less simply an application for data analysis. The question will be how to get the data into the system.
I think you need to give us a little more information about your data set. But let me assume a few things.
You have a dataset with gasoline prices over a period of days.
you have a dataset with gasoline prices for different gas stations.
It would be really nice if this wasn't old data that this is new gas prices coming in.
If I had this dataset I could insert it into Google Analytics. Directly using the measurement protocol.
The measurement protocol has a few required things, the first being hit type. 'pageview', 'screenview', 'event', 'transaction', 'item', 'social', 'exception', 'timing'. the second would cid or session id.
Now cid I think I would probably set to the different gas stations and probably add a custom dimension with the gas station name.
As for hit I think I would probably say screenview and make an application Google Analytics account. Mainly because well this isn't a website its a little different.
Then every time the price of Gas changes I would send a screenview, cid of the station with the custom dimension of the station, add a custom metric with the price.
The main problem you are going to have is that Google analytics doesn't handle old data well. If you are going to insert this data with a date associated the date and time cant be grater then 4 hours ago or the server wont process it.
Have you considered putting it in big Query instead?
This question really is to broad or opinion based, but it was fun to consider.
It is possible to send all kinds of hits with the Measurement Protocol. But Philip is correct in stating that the data model is largely geared towards users, sessions and hits. But you could probably get a good ways with custom dimensions and metrics.
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 isn´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.
We have a client who receives 2-4 million visits a day, so off the bat we can only get unsampled reports because it exceeds google's limit :
500,000 maximum sessions for special queries where the data is not already stored.
We are attempting to collect Unique Visitors and Visits for a 1 day period. Using the Google API has proved frivolous as the data is sampled.
We have set up Unsampled reports on a daily basis that get dumped into Google Drive and our application picks up the new files and downloads them just fine. The problem we are running into is that we need 2 years worth of daily data for 20 reports. The maximum range we can run an unsampled report using google analytics web interface is 1 week before we exceed a query limit. So 52 weeks of reports x 2 years x 20 different reports to set up is 2080 scheduled unsampled reports and this is for 1 client only.
EDIT: Can we automate unsampled reports using GA API or any programming method to pull historical data with the constraints previously mentioned? Also we do have Google Analytics Premium
Cris G, the only way to avoid data-sampling in Google Analytics without having an access to Premium is day-parting technique = you split a data-request for selected time period into shorter period queries (typically days) and then add all the numbers up. If your profiles/views are not sampled if you look at daily numbers, this could solve you issue.
However, this doesn't work on Unique Visitors, since they will be unique every single time (you are running data requests on daily basis), so there will be most likely duplicates and inflated totals if your site is attracting lots of returning visitors.
To automate some of the work, I suggest using tools like Analytics Canvas. It can make your life much easier and I think it could be the perfect tool for what you need to. Bear in mind the limitations about unique visitors (and some other metrics).
Having said that, I still think the best choice would be to use the benefits of Premium and the ability to get unsampled data for your reports.
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