We want to enhance data we have on our own customers & prospects with their profile data from LinkedIn. I believe we can only pull down data from consented users which is fine, but I'm also trying to work out whether we need a specific licence for extracting this profile data via an API and to store against our profiles in our database.
Is there a specific developer product to support this requirement?
Thanks
Related
I am setting up Google Analytics Accounts for a Product which have multiple builds as frontend for same user base.
So we have one Product called X and have:
Web Build
Mobile Web
Android App 1
iOS App 1
Android App 2
iOS App 2 6.
The main point is identical APIs and User base is used in all platforms and apps. So if we have a user John Doe he can login in any of the web or apps.
We want to extract following information from Google Analytics.
Under User ID feature want, sessions aggregations of that user around all build and apps, but identifiable. So I can know that user John login to web yesterday and used mobile app today.
Each user belong to a customer (company) in our system. So want to segregate all information based on companies.
I already have achieved point 2 by creating a custom dimension in Google Analytics and believe that's the best way to do it.
Now need suggestions from Gurus on how to acheive point 1 using Google Analytics.
Either use single account and single property for all builds and apps
If yes, then how to identify those apps and builds in sessions
If I use multiple properties/apps in GA account then how to aggregate user sessions among all?
Looking forward to hear how guys around hand or should have handled this scenario. Cheers!
This question is extremely broad, IMO any answer your going to get is going to be primarily opinion based. So here is my opinion and a little extra info to boot.
The first issue you are going to have is that there is a difference between Mobile google analytics accounts and web analytics accounts. The two do not mix. Mobile analytics accounts insert screen views with a screen name. While web accounts insert PageViews with a document location.
There is no way to analyze between two different Google analytics web properties. Unless you intend your android and ios apps to run as websites and send it like its a webpage its not going to work. You could potentially download the data into your own system or big query and analyze it there. Comparing your custom dimension to see what the users have done differently. I would wonder at the quality of the analysis you will get as there will be no real way for you to compare the data and match it up beyond using your custom dimensions user id and possibly date.
I am adding this because I am not sure what your saving in your custom dimension.
The second issue you are going to have is tracking. Google analytics TOS does not allow you to send any identifiable 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).
You could for example send your companies customer id for John as a user_id but user_id is an internal valuable used for internal processing this is not something you can extract out via the api.
The User ID enables the association of one or more sessions (and any
activity within those sessions) with a unique and persistent ID that
you send to Analytics.
To implement the User ID, you must be able to generate your own unique
IDs, consistently assign IDs to users, and include these IDs wherever
you send data to Analytics.
For example, you could send the unique IDs generated by your own
authentication system to Analytics as values for the User ID. Any
engagement, like link clicks and page or screen navigation, that
happen while a unique ID is assigned can be sent and connected in
Analytics via the User ID.
The best you could do would be to create a custom dimension and send that with every hit username=johnscustomerId. Which you appear to have already done. This is what I have done in the past and it works perfectly well.
I am trying to download clickstream data from Google Analytics but I am not able to get it in correct format i.e. time stamp, page-path etc. I have seen some post on BigQuery but I have never used SQL.
Is there an easy way to do this?
No, there is no easy way. Google Analytics does not expose the client id via the API, so you cannot get user level data, and time based dimension allow breakdowns to the minute only, which is not granular enough.
You could store a more precise timestamp and the client id as custom dimensions (you might need to check your local laws and/or the privacy policy of your company to see if that kind of profile building requires permission by your users in your country).
Then you could pull url per client id, ordered by timestamp, via the Reporting API. However that is not necessarily easy and on a large site you might run into the API limits.
I am new to Google Analytics.
We would like the analysis of our data data to focus on specific brand promotion, in my application I have the data from twitter, facebook and instagram. I would like to track user activity and collect data on click event such as
Title of the post
date of the post
channel(twitter,facebook,instagram)
etc.
I want to use an application unique user id and analyze the data based on a specific userid.
I have read custom Variables in Google Analytics, but I am not sure about how much analytics will help me to tracked above information.
From the Google Analytics Terms of Service:
Privacy.
You will not (and will not allow any third party to) use the Service
to track, collect or upload any data that personally identifies an
individual (such as a name, email address or billing information), or
other data which can be reasonably linked to such information by
Google. You will have and abide by an appropriate Privacy Policy and
will comply with all applicable laws, policies, and regulations
relating to the collection of information from Visitors.
That being said if your website has a Userid that can not be used to directly map back to a user. You could place that user id into a custom dimension.
You need only configure it in your Google analytics account then add a tracking code like this to your site
ga('set', 'dimension1', 'XXXXXXXX');
Then you will be able to use user id as a secondary dimension in most of the Reports on the website.
I'm working on the architecture for a project that includes a Android and iOS apps and a web interface with a subset of the mobile apps functionalities. The project is basically a e-commerce solution. In all three interfaces I'm using Google Analytics to track some information. However I'm having an internal discussion about the extent of the information I should send to GA. What should I store in GA and what should I store in my own server?
Let me give you some examples.
Session tracking is clearly something that belong to GA.
ProductDetailViews. Sounds like something that should go into GA, specially considering the enhanced e-commerce module.
Shared item. When a user shares some content over a social network, should I store that information on GA or in my own server? I'm inclined to GA but it becomes more ambiguos.
Do you see my point? Can someone share a general rule or recommendation on what should be saved in GA and what should be saved on the projects own server?
Thanks
For those examples I would generally send all the hits to Google Analytics. Here are a few reasons:
Preventing data silos. You want all of your data in one place and Google provides you with a database reachable via the API where you can keep all your data organised in one place. This is important when you are considering measuring performance, as you want to avoid duplication of conversions or traffic hits
Useage of Google Analytics advanced segments. With all your data in GA, you will be able to create advanced segments for analysis. But the real power is if you are using AdWords or retargeting, as you can send those Advanced Segments to AdWords, and target those users around the web with your custom data
Single point of reference for users All analytics are inaccurate, but you want to make sure they are inaccurate to the same degree. Using GA keeps all your data on the same playing field
Usability and Freedom of information Its easier to serve up your data to users within the GA interface as people are more likely to know how to navigate that than your database. You can also use the GA API to pull out any data you need to push into other visualisation tools.
User session merging With your data and userID tracking in GA, you may be able to track users as they arrive via mobile to desktop and back again, over multiple sessions.
What you need to avoid putting in to Google Analytics is personal info such as names, email address etc. There are against the TOS. But you can capture a unique userID, and match that outside of the tool later.
How to generate Google Analytics tracking code programmatic-ally?
I am new to Google Analytics API, can someone please help
It is NOT possible to create new Google Analytics accounts or profiles programmatically using the existing APIs.
There are two APIs available, the Data Export API and the Management API. However, they are bot read-only.
With the Google Analytics Data Export API, you can develop client applications to request data from an existing Analytics profile for an authorized user, and refine the results of the request using query parameters. Currently, the Data Export API supports read-only access to your Google Analytics data.
Currently, the Management API supports read-only access to five components of the Google Analytics Management system: Account data,Profile data, Web property data, Goal data, Advanced segments
Seems like it's finally possible in 2021 with alpha api.
https://developers.google.com/analytics/devguides/config/admin/v1/rest/v1alpha/properties/create#authorization-scopes
It's not currently possible to create Google Analytics accounts automatically at the moment but generating the tracking code is possible.
The only real variation between the tracking code generated each time you create a profile for a new domain is the web property ID. This is in the format UA-XXXXXXX-X. Each X is a number - the first 7 numbers are the account number and the number after the last dash relates to each web property set up for the account.
You can use the accounts feed of the API to get a list of accounts and their profiles. If an account only has one profile then it's possible to use the web property ID of it to automatically generate the tracking code. However, if there's multiple web properties then you would need a way to decide which one to use (present the user with a selection list etc).