I am using Google BigQuery for storing user's analytics from my site.
User's Tag data is stored by using GTM datalayer
My Question: How to send data from GTM to Google BigQuery?
As far as I understand, you want to collect event data from the users.
I can offer 2 different options for it:
Easy and common one is, you can send your data to Google Analytics, and then export it to BigQuery daily.
The second one is, you can create a REST Api, and send requests to that server for every event. At the backend app, you can store data in a database or send it to BigQuery directly.
I would recommend you to prepare list of events you want to analyze in BigQuery, and then if you already have it, you can send them here, so we can recommend more tangible alternatives.
Related
We want to save in our database (custom-developed shop with C# and ASP.NET) where our customers came from to improve our marketing strategies, so:
Is it possible to send google analytics data to the eCommerce server while performing a checkout?
You need to enable the ecommerce option on your google analytics dashboard.
Then, enter the tracking code on the purchase confirmation page.
You can consult the link below:
https://support.google.com/analytics/answer/1009612?hl=en
It is also possible to identify the user's origin to improve their marketing campaigns. Just follow this:
https://support.google.com/analytics/answer/1033173?hl=en
The Real Time Reporting API enables you to request real time data—for example, real time activity on your property.
However you can extract information such as pages and events, not ecommerce data. Therefore you should make sure to track the checkout funnel so that the information is within an event (with category, action and label). At that point you can use the API I indicated.
How to use API to get subscription data (Customer name; value of subscription; payment status;) into a google spreadsheet from Chargebee?
I am aware of ChargeBee Subscription API documentation,
(https://apidocs.chargebee.com/docs/api/subscriptions?prod_cat_ver=1#retrieve_a_subscription)
Still, not sure how to use them and fetch data into a google spreadsheet.
First time working on an API, very little clue on how to get it done.
Assuming in a real world scenario you have to fetch huge list of subscription data, instead of exporting data from Chargebee via API. The correct and easiest approach will be to export via Export/Import GUI available in Web Console. The export file will be in CSV/Excel Sheet format which you can upload to the Google Spreadsheet.
I have a Firebase dynamic link and will like to get the click analytics data from BigQuery. I am aware that it is possible to retrieve the click data via Firebase Analytics API but I will like to know if it is possible to get the click data from BigQuery instead?
I have already setup Firebase to send data to BigQuery, based on my exploration, I found that the data collected there are all based on app usage. Events like dynamic_link_app_open do seem relevant but they don't give the complete picture because events outside the app are not collected.
Long time ago, I took and passed the Google Analytics IQ certification test. At the time, I don't believe there were such things as Core Reporting API, Management API, and Metadata API (and probably some other Google Analytics related API's that I don't know about). Now that I am going through the Google Analytics IQ certification training course again (provided by Google, presented by Justin Curtoni?? I believe that's his name), I found that they now have Core Reporting API, Management API, and Metadata API.
I am a computer programmer by trade; so, I have no problem with programming using these API's. However, what I don't understand is, what do these API's buy me that the Google Analytics UI cannot offer? There is no reason to write a program that utilizes these API's simply because I can do it. To me, the existing Google Analytics UI has a lot of tools, reports, and other features that quite extensive. I am hoping that some of you can help me see something that I am probably missing.
The APIs are primarily for programmatic access. For example, if you need to create 1000 accounts all with the same property/view structure and then maybe add a few view filters to each of those accounts, you'll probably want to use the Management API. Doing that by hand would be a nightmare.
The same thing is true for the reporting API. Maybe you want to set up task that runs every monday morning and reports on the previous weeks data. And maybe you want to display that data on an internal dashboard for your company using some fancy charting library. You'd have to use the API to get the data.
Dashboards (executive summaries; managers often want nice visualizations instead of boring drill-downs)
Custom reports for user groups that do not have a Google Account or are not supposed to have access to full reports (e.g. Affiliates)
advanced filtering and aggregation (GA report cannot do everything)
You can combine analytics data with external data (e.g. you are not allowed to store personally identifiable information within GA; but you might store a custom key that allows you to link analytics data to customer data from you CRM or fulfillment system)
Machine-to-machine communication; I once did tracking for an airline that needed trend data on what people where searching for and what they where actually booking; that data was used to allocate/withdraw resources from busy/lame flights, and part of this was done by hooking up GA to their backend system
Take a look at the GA Partner Page. I would say the primary reason is to "liberate" GA Data from outside of GA itself. As Eike mentions, you can create dashboards and combine this data with other sources for a complete "View" of your online presence.
HI I guess there is no definite answer. Here are some things you can do with the APIs:
Automating AdWords CRO based on keyword ad and campaign performance.
Scoring leads based on Analytics data (Engagement with different items) and external data from a CRM.
Collecting unsampled data using multiple daily queries
Filtering using several dimension.
Tracking conversions for periods longer than supported by AdWords.
Looking at a funnel via segments
Analyzing funnels with non-linear structures
Create more robust alerts
Export data to BigQuery and analyse it together with data from other systems.
Create Machine learning apps for behavioural customizing your site.
Create a dashboard with data from multiple views
Use product recommendation to implements "better together" in an online store.
Automate creation of accounts and properties + their integration in a Hosting provider's console.
Cheers!!
There are companies out there that claim to "integrate" data into GA. I know some phone call tracking companies in particular. Is there a way that they are uploading data to GA through the API or are they using some other method that doesn't require that?
There is no upload mechanism into Google Analytics besides manual __utm.gif calls like in the browser. Both Google Analytics APIs (Data Export and Management) are completely Read-Only.
There are a few ways these solutions work, but one of them is to generate a unique identifier for the person calling in to give the person on the other line. That code is linked to their referral information (grabbing from the cookies). Another solution is to have the customer manually input their phone number. That phone number is then dialed by the software and connected to the live person, and in the background the phone number is linked to the source information from the cookies.
Then, the person receiving the call either inputs the code it into the system, or automatically has the user's information, and at the completion of the call, depending on how it is resolved, can generate things like e-commerce transactions or particular pageviews for Goals, so it can generate __utm.gif calls with the relevant campaign and user data appended. As far as Google Analytics is concerned, the request formed is the same user. The only thing that will be different is the User Location (which is fairly inaccurate to begin with.)
ie, if I take the __utm.gif call from my computer, paste it to you, and you click it, Google will see that as an another pageview on this visit, and for most purposes ignore that the differing locations.
Well, Google Analytics works off the a tracking GIF with all kinds of data appended to it, so it can certainly be reproduced by these phone call tracking folks without a problem.
Phone call comes, request the 1x1.gif from google with tracking data suiting your needs, and the hit+data will soon register on GA.
http://www.google-analytics.com/__utm.gif?data-here&account=UA-blah&more-stuff
There are several options to send tracking data to Google analytics.
Use a library which implements the ga.js script server-side
When you use Google Analytics in the way described by Google, you include a script on your website. This script sends data from the visitors browser to the Google Analytics server.
This script has been reverse engineered and implemented in server-side libraries. Now you can send the same data from the server to the Google Analytics server. You can use PHP-GA for PHP or pyga for Python.
Use the Google Analytics measurement protocol
The Google Analytics measurement protocol is a new API to send data to Google Analytics. You can send data by sending POST requests to the API.