Is it possible to get the churn rate of my ecommerce in google analytics? I don't how to use (or if is necessary) bounce rate to calculate it.
Thanks in advance
Of course, for example with enhanced ecommerce you can determine the abundance rate at each checkout step.
https://developers.google.com/tag-manager/enhanced-ecommerce
Related
How to clear Google Analytics ecommerce previous data?
Is there any way?
This data send to google analytics with gtag.js
Nope. I have struggled with this in the past and there is no good way to do this.
You can "fix" a wrong transaction sending the same ID with the same price but negative. The problem is that you must do it on the same day else your graphs ll break.
I am not sure about my analytic conversion rate because Adobe Analytics and Google Analytics shows different ratios.
They will never match. But generally they are close to each other. The below article explains the possible reasons behind the difference in metrics.
http://www.searchdiscovery.com/blog/comparing-data-adobe-analytics-vs-google-analytics/
Also, it depends on how you define your conversions rates.
I'm trying to pull up my goals against campaigns data through Google Analytics CORE-API. However, when I do so, one of my campaigns simply disappears. It only shows in the interface report or when I download it through excel. Can sampling exclude a campaign from the report? Is the sampling effect higher when using API? Will upgrading to GA premium and using the Measurement-API eliminates this effect? Thank you!
It is possible to choose an interval for a certain Google Analytics report?
I would like to be able to send a monthly report (for the last 30 days) on weekly basis.
I don't believe this is currently possible through the Google Analytics website, but you could use the Google Analytics Spreadsheet Add-on to achieve a very similar result.
You can Share almost any report in GA
Use Email option and set frequency Weekly.
I am new here so cant post image, would have posted screenshot otherwise.
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