I'm fighting with analytics to make this working.
I've settled a goal, and I would like to know the session duration for those who reach this goal.
Any ideas?
You should create a segment where you only select the people who have completed the goal.
Then you will be able to analyse how long people who complete the goal stay on the site, how many pages they view, where they are coming from.
Checkout this page from Google on creating segments:
https://support.google.com/analytics/answer/3124493?hl=en
or watch this video:
https://www.youtube.com/watch?v=dD-j9dgWF98
Related
I have a website that sells products and I'm using google analytics to know some statistics about the website. Sometimes, errors happens for various reasons and purchases doesn't go through. You then have to refresh the page and try again, then everything works. The website displays the message telling the user to refresh and try again. I'm curious how many people actually do that. My question is, is it possible to know what users do when this error happens? Do they refresh and try again? Do they close the tab or do they do something else?
The question is quite broad at this moment, but there are a couple of improvements to your measurement setup, that can help you to investigate this customer behavior.
What I would do, is to implement an event tracking to indicate, that this error has occurred. You can find details about event tracking in this guide. Although I suppose, that your users are not likely to enter the website at this page, it might be a good practice to set the non-interaction flag of the event, as it is not actually generated by a user interaction.
I'd also create tracking for page reload, either by creating an other event for this, or by adding -reload suffix to these repeated pageview URLs. You can find good resources for this on SO as well, e.g. this one.
If you have a special URL for this error page (e.g. purchase-error.html instead of purchase-success.html), it is also easy to track the exit rate specific to this page.
Besides of Google Analytics, you might also want to set up heatmap or screen recording tools to understand this behavior. Hotjar, Lucky Orange are a few examples. (No affiliation.)
I know that it might be odd, but I need your help with the google analytics set up.
Task: I need to set up brochure downloads as a goal for international students on a page https://www.cqu.edu.au/international-students/international-brochures .
In a perfect world, I would need to set up an individual goal for each type of brochure download (postgraduation, undergraduate, English courses) but I decided to start from "all brochures" to save the number of goals that I have for the view. Unfortunately, I don't have a chance to set up "events", so I have to work with goals only.
Final goal destination: Any page containing "pdf_file" in its description.
Pathway: come to International section, move to brochures, then go to brochure page (containing "pdf_file" in its description, for ex. - https://www.cqu.edu.au/__data/assets/pdf_file/0005/158540/2017-Undergraduate-International-Guide.pdf).
The problem: I tried to use regular expressions such as "^/__data/assets/pdf_file/." or ^/pdf_file/(.) and I can't see conversions in real time test.
However, nothing helped, and goals (even the page visit) still aren't tracking correctly. What am I doing wrong? And, if possible, how can I split goals across different brochure types?
Many thanks,
Kirill
You are on the right track. You just need one Goal. The problem you have is that after clicking a pdf document you are being redirected to a PDF viewer iframe. This is a PDF view "page" with no Google analytics tracking code whatsoever.If you use are using destination goals the only way this will work is by having installed the Google Analytics (GA) tracking code at the "final destination page".
One way to track pdf "views" is by creating a short url for each one, hence you will be able to track or check how many of them have views.
Another way is to create an onclick event within each link. But this is only possible if you can setup the events in GA. Creating this kind of event tracking will allow you to set up labels for each pdf's name to be able to identify or track each one of them.
Since a while I've been playing around with the Analytics Measurement Protocol, and also used it in some test emails as described in this article:
https://developers.google.com/analytics/devguides/collection/protocol/v1/email
But what puzzles me is that Google recommends to track email views as events, not as page views.
From one side I can see the point, but on the other hand in Google Analytics I get an alert stating that I have events without page views.
Can anyone answer me why it should be done that way, or what arguments are there that speak for it? Otherwise I could also just use the Measurement Protocol to send a page view.
I do not know why Google recommends this, but I rather suspect it's because you will skew some of your metrics if you use pageviews - an opened e-mail would count as a bounce, which in turn would bring down average time on site, pages per session etc. If you make opened e-Mail an event you can avoid this.
So I've been working on a website for a while. GA account has been up for a couple months but I waited for the website to be finished before putting up the actual JS tag.
In the meantime, the website is being HTTP password restricted (basic authentication) so it isn't even accessible unless you know the user/pwd combination.
To my surprise, I realized today that GA has logged several hundred views to the root of my website. Paths are mostly things like:
/
/?from=http://social-widget.xyz/
/?from=http://www.traffic2cash.xyz/
Bounce% and exit% both at 100% for all of them.
I realize this looks like referral spam, and there are ways to prevent it. Came across this upon googling:
http://botcrawl.com/block-social-widget-xyz-referral-spam-in-google-analytics/
My question is: how can GA log anything anyway when no tag is up and the website isn't even accessible?
Thank you very much in advance
Because it's spam. They hit Google Analytics directly with random GA codes and don't even go through your website.
GA can't tell if these are real hits (from website visits) or fake hits (from spam bots who hit GA directly calling the same ode as they would if on the website). Though arguably they should do more about this.
Massively annoying - particularly when first starting out as this can be a heavy proportion of your "traffic".
It's easy to set up a filter rule is to catch a lot of this by filtering on hostname. As they are randomly hitting GA and don't even know what website they are hitting GA for, they don't usually set this correctly. Real traffic should only come from yourwebsitedomain.com so add a filter for that.
STRONG piece of advice: abandon the default UA-########-1 tracking code of your new website -- simply do not use it!
Create a second and third property on the Admin screen, then use the tracking code for the third property. You will immediately see a lot less spam. No filters or segments necessary!
If you want the whole sad story about spam visits in GA, I have been maintaining the Definitive Guide article for over a year now:
http://help.analyticsedge.com/spam-filter/definitive-guide-to-removing-google-analytics-spam/
Site A gives their affiliates an interactive component (traffic map based on Google Maps), which they in turn put on their sites (Site B) in an iframe. The component is dynamic, doesn't change the URL of parent site, and has an id for each affiliate site.
What I would like to do is track the displays of the component. (Price of using Google Maps for the component depends on number of views).
At the moment the component is in <iframe src="http://SiteA.com/q?cp=43.520,18.910,10&cm=1"></iframe>.
I have looked at the other topics but didn't found a solution to that problem. I would really appreciate any help, I had no experience with cross-site tracking yet.
You as siteA owner want to count number of displays of iframe on other sites, correct?
The basic way to do it is logs analysis — every time your server returns page http://SiteA.com/q?cp=43.520,18.910,10&cm=1 or similar it adds an entry to your server's log files. The can be count when. There is a number of solutions for analyzing log data. Some of them opensource and free, other are paid services. For exmaple: http://awstats.sourceforge.net/
There is other ways to count it, but it's probably easiest way of all.