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.
Related
I am trying to generate a report using Google Analytics Explore tab using Free Form technique. Few weeks ago I could use Message name, stream name and time to see all the notification name, platform and total no of click. I exported the same to excel file.
but today when I tried to generate the same I couldn't find "Message Name" dimension. Is this field removed from pre defined/custom dimensions from GA? or am I doing something wrong?
My main purpose is to get all list of notifications sent via Firebase.
Any help will be deeply appreciated.
Given that you excluded the obvious issues like using the too-fresh data, the proper way to debug it is to export the data into a sample BQ table, then conduct exactly the same analysis that you're trying to conduct in GA4's explorer. From there, if your issue is with explorer's filters, you will quickly see it.
If, however, you're able to see your event properties in BQ, but not able to get the explorer to display them... Well, Google likely saved quite a lot of money on GA4. UA was pretty expensive. GA4 now introduces all these amazing features like data retention limits, properties' values cardinality bugs, odd inconsistencies between explore's reports and default reports and so on.
For now, the best way to really access your data minus all the artificial limitations of GA4 is to ETL your data from there either through the reporting API or exporting it to BQ.
I want to get analytics data of each user of my website. I know that google analytics provide data user wise but I am not able to export that data using API. I want real time user wise data with export feature to save it in my database. I have gone through many platform like mouseflow but they do not provide data user wise. Is anyone have idea how can I implement this?
Thanks!
Here an example of how to get data from Google Real Time API (with Google Apps Script):
https://www.appsscript.it/tutorial/utilizzare-le-real-time-reporting-api-di-google-analytics-con-apps-script/
I am looking for options to ingest Google Analytics data(historical data as well) into Redshift. Any suggestions regarding tools, API's are welcomed. I searched online and found out Stitch as one of the ETL tools, help me know better about this option and other options if you have.
Google Analytics has an API (Core Reporting API). This is good for getting the occasional KPIs, but due to API limits it's not great for exporting great amounts of historical data.
For big data dumps it's better to use the Link to BigQuery ("Link" because I want to avoid the word "integration" which implies a larger level of control than you actually have).
Setting up the link to BigQuery is fairly easy - you create a project in the Google Cloud Console, enable billing (BigQuery comes with a fee, it's not part of the GA360 contract), add your email address as BigQuery Owner in the "IAM&Admin" section, go to your GA account and enter the BigQuery Project ID in the GA Admin section, "Property Settings/Product Linking/All Products/BigQuery Link". The process is described here: https://support.google.com/analytics/answer/3416092
You can select between standard updates and streaming updated - the latter comes with an extra fee, but gives you near realtime data. The former updates data in BigQuery three times a day every eight hours.
The exported data is not raw data, this is already sessionized (i.e. while you will get one row per hit things like the traffic attribution for that hit will be session based).
You will pay three different kinds of fees - one for the export to BigQuery, one for storage, and one for the actual querying. Pricing is documented here: https://cloud.google.com/bigquery/pricing.
Pricing depends on region, among other things. The region where the data is stored might also important be important when it comes to legal matters - e.g. if you have to comply with the GDPR your data should be stored in the EU. Make sure you get the region right, because moving data between regions is cumbersome (you need to export the tables to Google Cloud storage and re-import them in the proper region) and kind of expensive.
You cannot just delete data and do a new export - on your first export BigQuery will backfill the data for the last 13 months, however it will do this only once per view. So if you need historical data better get this right, because if you delete data in BQ you won't get it back.
I don't actually know much about Redshift, but as per your comment you want to display data in Tableau, and Tableau directly connects to BigQuery.
We use custom SQL queries to get the data into Tableau (Google Analytics data is stored in daily tables, and custom SQL seems the easiest way to query data over many tables). BigQuery has a user-based cache that lasts 24 hours as long as the query does not change, so you won't pay for the query every time the report is opened. It still is a good idea to keep an eye on the cost - cost is not based on the result size, but on the amount of data that has to be searched to produce the wanted result, so if you query over a long timeframe and maybe do a few joins a single query can run into the dozens of euros (multiplied by the number of users who use the query).
scitylana.com has a service that can deliver Google Analytics Free data to S3.
You can get 3 years or more.
The extraction is done through the API. The schema is hit level and has 100+ dimensions/metrics.
Depending on the amount of data in your view, I think this could be done with GA360 too.
Another option is to use Stitch's own specfication singer.io and related open source packages:
https://github.com/singer-io/tap-google-analytics
https://github.com/transferwise/pipelinewise-target-redshift
The way you'd use them is piping data from into the other:
tap-google-analytics -c ga.json | target-redshift -c redshift.json
I like Skyvia tool: https://skyvia.com/data-integration/integrate-google-analytics-redshift. It doesn't require coding. With Skyvia, I can create a copy of Google Analytics report data in Amazon Redshift and keep it up-to-date with little to no configuration efforts. I don't even need to prepare the schema — Skyvia can automatically create a table for report data. You can load 10000 records per month for free — this is enough for me.
is there a way to export the data from google analytics Attribution Model comparison tool? I'm searching through all the dimensions an measures but i was unable to find the correct measure.
Is this data available through Core API?
Is there a combination of measures to calculate the different models?
You can use Google's MCF (Multiple Channel Funnel) API:
https://developers.google.com/analytics/devguides/reporting/mcf/v3/
The model you can use seems to be limited (Only First and Last) but at least you can export your funnel path and built your own attribution much easier.
Hey I have asked google for an answer, they don't have this developed yet but there is an open request ticket for it, it could take a few months. I will keep track of this. To get the exact same dimension and metrics, bigquery can do the job.
I want to pay my writers based on unique page views. Right now I am getting my data from Google Analytics. The frustrating thing is that the numbers given by Google Analytics are from sampling.
So is there a Analytics Service to get unique page views that does not sample its data?
Or as anyone try doing something similar to what I am trying to accomplish, what would you recommend I do?
I use Unsampler
Extract unsampled data from a Google Analytics Standard profile. Avoid sampling and get at your real data.
Try to use PIWIK - it is server side analytics system, but you will must save all data on your server - you need separate mysql data base.