Mixpanel, Localytics and so on record events even when the user is off wifi and send it over when he comes back again. I couldn't find much detail if Google Analytics is able to do that. So is it?
I think this is what you are looking for.
The Google Analytics Measurement Protocol allows developers to make HTTP requests to send raw user interaction data directly to Google Analytics servers. This allows developers to measure how users interact with their business from almost any environment. Developers can then use the Measurement Protocol to:
Measure user activity in new environments.
Tie online to offline behavior.
Send data from both the web and server.
https://developers.google.com/analytics/devguides/collection/protocol/v1/
More specifically there is a parameter called queue time - you can send an offset between the time when an event occured and the time is was sent to the server.
Related
In My android application I am trying to achieve a page Where I want to show Some Graphs for Stats of App to Users Like Active Users , Avg Time Spent by all users who use the app, Global map indicating Users from which Country with Intensity or more
To what I know Firebase Analytics Provides such details but I think its only for Admin , That is only the people that have access to the project can view it
Is there a possibility of Bringing those Analytics Graphs , Data , Stats into the App to and Show the User ? I am trying to achieve this in Kotlin for a Android App.
Any Indicator or Clear Resource to read abt Would also be helpful With slight info on the part I am trying to Achieve.
Thanks in Advance
I believe you could achieve this by using the Google Analytics 4 Measurement Protocol API. The Measurement Protocol API allows developers to make HTTP requests to send events directly to Google Analytics servers. This allows you to measure how users interact with your business from any HTTP-enabled environment. Notably, this makes it easy to measure interactions that happen server-to-server.
You can use the Measurement Protocol on the following:
Tie online to offline behavior.
Measure interactions both client-side and server-side.
Send events that happen outside standard user-interaction (e.g. offline conversions).
You can go to this documentation for more information.
I'm relatively new to Google Analytics and would like to have some inputs.
So I have a web application that people can install to create a backup and can do restores as well. The application has an API where you can see the statistics of the app i.e. number of backups made, restores made, and the number of clusters connected to this application.
Now I want to send these stats to google analytics with an interval of 10 minutes. I was wondering if I can send the status to Event with a unique UUID as Event Category, the backup/restores, or nodes as Event Labels and the number as Event Actions.
Is this the right approach to using Google Analytics Events? Or is there a better way to do it in GA? My requirement is I have to do it in GA or should I use a different hit type.
Given that we are talking API's you intend to use the Measurement Protocol?
And the UUID refers to the unique user? if so, you should look at the uid https://developers.google.com/analytics/devguides/collection/protocol/v1/parameters#uid
As to using Events versus Hits, using hits is probably easier on the reporting.
From backend java spring application, I need to send the following record per a specific api call to google analysitcs:
user_name,IP,time,...etc
Then I need to analyse data using one of these data (user_name,IP,time,...etc).
Can I utilize google analytics in that? or even is there any other cloud services to achieve that?
You could but you can't, that's because Analytics customers are prohibited from sending personal information to Google:
The Analytics terms of service, which all Analytics customers must adhere to, prohibits sending personally identifiable information (PII) to Analytics (such as names, social security numbers, email addresses, or any similar data), or data that permanently identifies a particular device (such as a mobile phone’s unique device identifier if such an identifier cannot be reset). Learn more about how to avoid sending PII. Your Analytics account could be terminated and your data destroyed if you use any of this information.
https://support.google.com/analytics/answer/2795983?hl=en
I have a question to the following case. We want to track a content platform using google tag manager. However, not every time the platform is online but GTM would send data to our internal server. Therefore our concern is if data collected during this offline period will be kept or if we loose them.
Do you know if there is some period during which data collected offline through Google Tag Manager is kept and once it gets online then it is sent to Google Analytics?
Thank you,
Lukas
No, that is not how Google Tag Manager works. GTM for web is basically a javascript injection engine. It bundles your configured tags,triggers and variables with a selector engine and injects that into your page. There is no serverside component that stores data.
I'm sure one could come up with a solution to your problem - e.g. store your data with localstorage in the browser, poll you server to see if it is available, and when it's online send the data with a queue time parameter to Google Analytics. However that has nothing to do with GTM.
Having said this, it is hard to understand your use case - if your server is offline, then where does the data come from ?
If you have an offline PWA app (with a Service Worker), you can use the Workbox Google Analytics module to handle the collection of data, and to report it upstream when your site comes back online.
This module has a service worker fetch handler that intercepts the calls that you would make with analytics.js or gtag.js, and stores your data locally in IndexDB in the event that the call fails because it is offline.
Is there any code for using Google Analytics on a TCL-Tk program?
I've tried to implement it "handmade" using a webserver, and sending messages via TclWs but I'm sure that Google Analytics can be a better (or best) solution for this problem.
You might want to have a look at the Measurement Protocol API:
The Google Analytics Measurement Protocol allows developers to make
HTTP requests to send raw user interaction data directly to Google
Analytics servers. This allows developers to measure how users
interact with their business from almost any environment. Developers
can then use the Measurement Protocol to:
Measure user activity in new environments.
Tie online to offline
behavior.
Send data from both the web and server.
Note: The
Measurement Protocol only allows developers to collect
user-interaction (event / hit) data. It does not allow developers to
upload aggregated data like tables.