If the data set exceeds a particular value, Google analytics shows sampled results on the dashboard. The limits beyond which data is sampled (>250k sessions, >50k rows, etc.) is given here: https://support.google.com/analytics/answer/1042498?hl=en&ref_topic=2601030
What about firebase analytics? Does it sample data in the same way for generating reports? Are the sampling limits same as those for google analytics given in the link above?
Firebase Analytics doesn't sample the data for the reports. You can link your Firebase account to BigQuery and export the raw data if you like as well.
Manoj: All of Firebase Analytics reports are backed by aggregates. So the good news is that you do not have to worry about sampling when viewing the reports.
Related
Is there a way to upload all of the data from GA3 to GA4? I've tried uploading CSV files downloaded from GA3 although I keep running into record errors.
The underlying data structure of Universal analytics and analytics ga4 is completely different.
UA analytics was based upon pageviews and screen views. While ga4 everything its based on events.
There is no way to covert UA data to GA4 because they are so different.
Beyond that Google analytics is hit based as in a point of time. While you can insert offline data that data would be no more then a few hours old. Inserting data from a website that had been recording data for years would not be possible.
Universal Analytics will be going away
After July 1, 2023, you'll be able to access your previously processed data in your Universal Analytics property for at least six months. We know your data is important to you, and we strongly encourage you to export your historical reports during this time.
The only real option google is giving us is to export it to a csv.
how to model google analytics data in database. I am using pentaho to bring the google analytics data in to my database, but i am not sure how to model the data into tables.
Any reference,suggestion is most welcome.
TIA.
You could be inspired by the schema used by Google Analytics to export 98% of the original hit data + data processing outcomes into Big Query.
The feature is only available for Analytics 360 customers, but the schema is public.
You've got a visualisation here https://storage.googleapis.com/e-nor/visualizations/bigquery/ga360-schema.html
However, it's unlikely that can get export as fine grained data through the export API (you will face usage quota, aggregates,...). But that gives you a starting point.
You can probably challenge the expected usages of that data to focus on data you really need to export and ajust your data model to your use cases.
Is there any way to merge data collected using 2 different Tracking IDs of Google Analytics?
Using the Google Analytics API you can extract the data you wish from both properties into your own system. Say a database I recommend adding the property id to the tables storing the data so that you will be able to differentiate between the data.
There is nothing out of the box that will do this for you with the exception of big Query. Users with a Google analytics 360 account can extract there data to big query. However I have not tried this I am not sure even that will allow you to analyze data over multiple views.
While #DalmTo is correct that there's no way to do what you ask for regular Google Analytics accounts, it's probably worth mentioning that you can do this if you're a Google Analytics 360 customer.
The feature is called Roll-up Reporting, and this article explains how it works:
https://support.google.com/analytics/answer/6096167
I found this add-on for Google Sheets that can help you with that, it combines the metrics from several Google Analytics properties into one Google Sheet, I hope this helps!
Analytics Aggregator
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!
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