I want to set up the final sheet on my google analytics to google spreadsheet reporting with a chart that has the productName dimension, with the 5 channelGrouping dimensions under each productName, on the Y-axis correlating to an X-axis with the itemRevenue metric for each productName.
It can be done static but I would like to run it dynamically.
Its either fixing the reporting to run dynamically on Google Spreadsheet or fixing the google analytics tagging to report all the productNames even if the itemRevenue is 0.
So if anyone has a solution to either one of the following questions it would be very much appreciated...
Question 1) Is there a way to get my ='reportsheet'!C16 for itemRevenue to change its row number when it shifts rows in the reportsheet since new data for productName, in the A column, will be coming into it by alphabetical order?
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Question 2) Is there a way to run google analytics tagging to report in google spreadsheet all of the productNames even if the itemRevenue is 0?
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I'm tracking several events on my website using Google Analytics 4.
Some of those events are more important and I'm considering them as conversions. However, they happen at different steps of the user journey, so each of them would have a different cost and return, so I'd like to consider them as different conversions, in the same way they correspond to different events.
The problem is, when I want to report on them (e.g. on Data Studio, or Google Ads UI, or even on Google Analytics funnels), you can only see the aggregated sum of conversions, rater than being able to select a specific conversion.
Is there a way to make GA4 (an Data Studio) either:
Split reports by specific conversions (rather than the total number of conversions)?
Split reports by events rather than conversions?
I feel like GA4 has been a step back in terms of report customisation and data analysis.
Thanks!
I am trying to create and match a report in Google Analytics through data in BigQuery table, but I couldn't find any way to get the same figures for "Clicks".
The definition of "Clicks" in GA is The number of times users click on your ad.
So I have tried COUNT or COUNT DISTINCT gclId column under adwordsClickInfo and all other methods, but still cannot replicate the number.
How do I correctly count the Clicks with my ga_session_* table?
It feels silly to ask a question like this but I really can't find a view by myself after clicking anywhere in the interface at least twice.
I switched my app from analytics to firebase and those events do reach the firebase backend.
I also can see the events from the last 30 minutes.
They are stored under select_content -> Parametername = item_name
But I do not find a view of way to select a wider period of time. Like show that same statistics over a longer period of time.
Do I have to set up a specific view? Or how can I get those results?
I had this exact problem and finally found a way to do it (though using the Google Analytics site instead of Firebase- but still using the select_content event).
In Google Analytics you can create a custom dimension from item_name (I did this in All events->Manage Custom Definitions->Create custom dimensions) then create a custom analysis in Analysis hub: I started from Blank, then used the Exploration Technique, selected Bar Chart for Visualization, added item_name as the Breakdown and Event Count as the Value- this gives the total event count for each item_name over the selected time period.
If you change the Visualization to Line Chart, you can also see how the values change over larger time periods (Granularities: Hour, Day, Week, Month).
Screenshot
I have a google analytics report in datastudio. One of the pages in the report is attempting to report on events. In GA when looking at the event in the e-commerce explorer tab I will see data for revenue, ecommerce conversion rate, per session value, but in my data studio report all values show as zero.
This is a straight google analytics data source (i.e. there is no data blending).
Screen shots below of the datastudio result and the analytics report for the data I am trying to match.
Every resource I can find says this should be possible and the fact that Google Analytics has the exact same data showing again makes me think this is possible.
Is there an issue with what I am doing or the metrics / dimensions I am calling? If not why isn't this working?
I have struggled with something like this too. I would guess that the problem is with the decimal places, which I couldn't get to work in GDS - zeroes all over the place, just like you are getting. When I multiplied the defined event value by 100, it all worked. Worth a try, I think.
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