How can I find unique visitors using gapi?
At Google Analytics, I used custom report and added 'Unique Visitors' as Metric and 'Page' as dimension and I am able to see the report. After applying filter, I can see unique visitor of each page and also Unique Visitors overall. But, I am not able to do so using gapi.
Sorry, I wish I had a better answer for you. It looks like Google saves themselves the computation by limiting which results the API can return. However, the article states that for many reason, visits will give you more meaningful data.
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I am trying to get to a point where I can identify visitors who are generating website Goals. And identifying them via their Pardot ID-s in GA.
Do you think that's possible?
On the site every visitor gets a Pardot cookie and in that there is a readable Visitor ID which via an API query can be turned into a Pardot ID.
But how can this piece of information get stitched to the rest of the GA parameters? How to push this into GA as a custom data point so I can create a report on who are the Pardot IDs that completed a certain goal this week?
Is there any guidance you can give?
Assuming, that Pardot ID itself is not a Personally Identifiable Information (PII) in terms of Google Analytics, there are several ways to accomplish this.
You could provide this data as User ID, which helps Google Analyitcs to identify users across several browsers and devices. However, this dimension is not exposed on the reporting GUI or the reporting API. (Available dimensions and metrics can be browsed here.)
Instead, or in parallel, you could store this information in a custom dimension, which, can be used in standard or custom reports, or via the reporting API as well. There a couple of things to consider. According to the Measurement Protocoll reference, the maximum length of this field is 150 bytes. You should also decide, if this dimension is most useful for your needs and possibilities on hit, session or user level, about which you can read here.
I am into a different situation here, I have been working with google analytic in pentaho, to fetch aggregate values on the dashboard, but now the situation is different, company want to see if an order was converted, what were the keywords that the customer had used to come to our site to make that order/transaction conversion, is it possible to track this condition?
I had seen the orders/transaction id in the google analytic view though. And conversions in the analytic dashboard shows how many were converted, not individually.
Can someone guide me to the right path?
I have played with google analytic tool and found out the keywords can be found by selecting:
Conversions > Ecommerce > Sales Performance > NEW SEGMENT[ paid traffic ] > APPLY From Secondary Dimension > Advertising > Matched Search Query
Matched Search Query ( Gives exact search phrase used by customer )
Keyword ( Keywords group that it matched under a campaign )
Many options are available, you can test yourself. :)
But real thing was how to fetch this report using the metrics and dimensions via the API calls.
I used query explorer, tried different combinations at:
https://ga-dev-tools.appspot.com/query-explorer/
So in my case i needed transaction id and keywords ,the combinations should be :
Metrics:
ga:transactions (Transactions)
Dimensions:
ga:transactionId
ga:keyword
ga:adGroup
ga:adMatchType
ga:adMatchedQuery
ga:adDestinationUrl
ga:sourceMedium
There can be many other options to select from the Metrics and Dimensions, correct combination selection is something to figure out, i used help from:
https://developers.google.com/analytics/devguides/reporting/core/dimsmets#mode=web&cats=ecommerce
Hope this helps, if someone wants to share more knowledge, please do :)
I have asked this question several times over on the GA forum, but no result. So maybe you guys can help...
I have set up google analytics with userIds on various pages of a site, with the aim of identifying exactly which pages are looked at by which users. So, sending GA the string
ga('create', 'UA-39536320-1', {'userId': '1001'});
means GA keeps track of all accesses by user 1001, and I can then (in theory) track all pages looked at by this user.
Trouble is, GA reporting seems to offer no out-of-the-box way of doing this. Indeed, some of the reporting features supposedly enabled by GA with userIds just don't seem to be available (eg coverage; user engagement; etc).
Am I the only one trying to do this? Seems other people have achieved a similar result using custom variables; do I have to do that, and give up on GA userIds?
The userId feature can be used in conjunction with a user id enabled view (profile) to analyze cross device sessions.
As pointed out by DalmTo it is possible to use custom dimensions to track any non PII information about a user. This article here gives a good example combining sending user scoped custom dimensions along with imported CRM user data to analyze and segments users for remarketing purposes.
I'm doing some complex reports for google analytics and would like to ask you if the following is possible. The client wants to have just organic data for a bunch of metrics. Like pageviews, visitBounceRoutes, etc. The query I ended up with is the following:
https://www.googleapis.com/analytics/v3/data/ga?dimensions=ga:source,ga:medium,ga:keyword,ga:day,ga:month,ga:year&end-date=2013-11-20&fields=columnHeaders/name,rows,totalResults,totalsForAllResults&filters=ga:medium==organic&ids=ga:79067749&metrics=ga:pageviews,ga:pageviewsPerVisit,ga:visitors,ga:avgTimeOnSite,ga:newVisits,ga:visitBounceRate&start-date=2013-10-20
However the response is as follows:
'{"totalResults":0,"columnHeaders":[{"name":"ga:source"},{"name":"ga:medium"},{"name":"ga:keyword"},{"name":"ga:day"},{"name":"ga:month"},{"name":"ga:year"},{"name":"ga:pageviews"},{"name":"ga:pageviewsPerVisit"},{"name":"ga:visitors"},{"name":"ga:avgTimeOnSite"},{"name":"ga:newVisits"},{"name":"ga:visitBounceRate"}],"totalsForAllResults":{"ga:pageviews":"0","ga:pageviewsPerVisit":"0.0","ga:visitors":"0","ga:avgTimeOnSite":"0.0","ga:newVisits":"0","ga:visitBounceRate":"0.0"}}'
Can the dimensions ga:source,ga:medium,ga:keyword be mixed with the above metrics? It seems they can't since if I omit them the API returns an array of values 1 per each day within the specified range.
Where can I find more information about this and what categories are mixable? https://developers.google.com/analytics/devguides/reporting/core/dimsmets just shows all the available metrics but do not explains how they are combined and which one would be valid requests. I'm new at the analytics API and would be great any kind of help or guidance
Thanks a lot
Google Analytics Query Explorer is your friend for playing around with analytics dimensions/metrics/filters ;-)
Try http://ga-dev-tools.appspot.com/explorer/?dimensions=ga:source,ga:medium,ga:keyword,ga:day,ga:month,ga:year&metrics=ga:pageviews,ga:pageviewsPerVisit,ga:visitors,ga:avgTimeOnSite,ga:newVisits,ga:visitBounceRate&filters=ga:medium%253D%253Dorganic&start-date=2013-10-20&end-date=2013-11-20&max-results=100
Some thoughts:
Those dimensions & metrics should work -- maybe there was no organic data recorded during that time range?
Try removing the ga:medium==organic filter and see what your data looks like.
Does the profile you're using (ga:79067749) have any filters on it? If so, maybe try a different profile that has unfiltered data. (Analytics best practices -- make sure you have a profile with no filters applied that captures all data.)
As Mike said, there is no problem with the combination of metrics and dimensions you are using.
If you are entering the URL query directly in the browser problem might be the lack of URL encoding in your query string. For example, you need to convert == to %253D%253D
For example, instead of ga:medium==organic, you need ga:medium%253D%253Dorganic
If you build your query in the Google Analytics Query Explorer as Mike suggests, you can grab the direct link to your report by clicking the link symbol in the upper left:
Just wondering if this this possible? I realise you could never use it to display recommendations on a page but it would be useful from an analytics point of view to see for example what other products user's who've looked at product x have also looked at.
You can use Advanced Segmentation to do this.
Advanced Segments slice Google Analytics data on the basis of sessions. Sessions are a collection of pageviews that correspond to the popular notion of a visit.
If you create an Advanced Segment for users who visited /product/x/, it will return data from all the sessions in which that page was viewed. (Similarly, you could create a segment for /product/x AND /product/y. From there, you could filter it to only include your product pages, and exclude the original products themselves.) As a result, this session-based querying is perfect for your use case.
So, yes, you could use Google Analytics API data to inform a simple recommendations engine. The only caveat I'd give is that the Google Analytics API is a little slow, so you'd want to cache the data locally in your app, rather than querying it directly on every pageload.