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Google Analytics - Different users on same public computer have same User ID metric

I have an app where we track user id's from session and pass to custom metric in Google Analytics.
What we're seeing is that if you log out, and log back in as a different user, both users will use the latest user id within google analytics.
Is it possible to "clear" this common link between each session so that each sign in starts it's own session in GA?
Here's the same thread topic on ga forum: https://support.google.com/analytics/thread/96259041?hl=en

You have to set the clientId when you create the tracker. i.e.:
ga('create', 'UA-XXXX-Y', {
'clientId': '<my custom clientid>'
});
You will have to find a way to get it new on next time and pass it to the snippet above (or via GTM). For example, you can write it in a cookie that is deleted when you close the browser, in this way for the entire duration of the navigation it will be maintained and the next time you open the browser you have another one created and you will use that, and so on.

Google places AutoComplete widget is generating a new Session Key per every request

Recently, Google has updated some billing policies as part of that they've introduced SessionTokens for the Autocomplete requests.
As part of that, every request in the same session will be sent the same token in the request and it's automatic if we use the AutoComplete widgets provided by Google APIs.
But, I'm seeing a different token generated for every request in the same session. I'm I missing anything, please guide me. Here is the pluker for the sample, there I observed a different token generated for each keystroke.
var options = {
types: ['(cities)']
};
var searchBox = new google.maps.places.Autocomplete(input, options);

My Code for the page
<div class="searchField">
<input id="searchLocation" name="searchLocation" type="text" placeholder="Enter an Address">
</div>
<!-- more code.... -->
<!-- footer -->
<script>
// initiate search area for autocomplete of places from Google Maps Street Addresses
function initAutocomplete() {
// define the search location box
var searchBox = $("#searchLocation")[0];
// initiate the autocomplete with the options on the search box
var autocomplete = new google.maps.places.Autocomplete(searchBox, options);
};
</script>
<script src="https://maps.googleapis.com/maps/api/js?libraries=places&region=ca&language=en&key= [YOUR_API_KEY]&callback=initAutocomplete" async defer>
</script>
Session Token Clarification
According to the Google Docs (all the way at the bottom of the page in a "warning text")...
https://developers.google.com/maps/documentation/javascript/places-autocomplete
Warning: Be sure to pass a unique session token for each new session.
Using the same token for more than one session will result in each
request being billed individually. Note that the Autocomplete Widget
handles sessions automatically (you don't need to do anything
additional). Now, lets dive into the basic Javascript example.
This may be a bit confusing, only because you are trying to get into the nomenclature of the google docs and what these things and possibly because you were doing it one way and suddenly your boss or client or someone else ask you to use Sessions/Session Tokens instead.
If you do new google.maps.places.Autocomplete() instead of AutocompleteServices or something along those lines, you are using the "Autocomplete Widget".
The autocomplete widget will handle the session / session tokens itself.
Prove it!
I trust Google and the Google Developer Documentation regarding their own products and how/what they do, but there was plenty of confusion on the web about this. So I wanted proof, besides getting a bill after a month. FYI - the billing in Google Clound Platform Console (https://console.cloud.google.com/google/maps-apis?pli=1) will show you this almost right away and will corroborate the stuff below and above.
Looking at the Network activity in Dev Tools, we see that there is a few calls to the Autocomplete Service.
I did not use the "AutocompleteService" function here, this is a basic example setup the same way I have listed above for the Callback with using the "Autocomplete Widget" via new google.maps.places.Autocomplete().
When you go to the page, you can see the call to library first, first screenshot of Dev Tools below.
Next I did a search, which worked. I started to type in a basic address of 1990, you can see 4 request made to the API after that. 1 request/call for each character I type in. Each of these request names begin with "AutocompleteServices.GetPredictions...", even though I DID NOT USE AutocompleteServices in my code. On the back-end, the "Autocomplete Widget" is using the "AutocompeleteServices" and doing all the UI/UX work for you as well as the functionality and the session and tokens. These are in the Dev tools screenshots #1-#3 below.
Then you see a 5th request call to "PlaceServces.GetPlaceDetails", which was when I selected from the dropdown. This is the dev tools screenshot #4 below.
Looking at the headers, for each of these requests, I see a few things.
The first thing, circled at the bottom is a "token". I know I just said and the Google Documentation just said that the "Autocomplete Widget" handles the session token, and a keen eye will see that this "token" value is different for every request. It is also not in 'version 4 UUID' format, which is recommended by Google, but that is a different topic. This "token" in the header, IS NOT the session token. This is buried in documentation that is 5 years old for a previous version of this on Google Docs, but this is not used anymore, and is auto-set for each request and is not the Session token.
SO, "where is the session token then?" you might ask.
The other items in the header that start with 1s, 2s and so on are different session variables that are passed. In this case, the session token is '20s' followed by the version 4 UUID auto created by the "Autocomplete Widget". A keen eye will also notice that for the 3 screenshots below they are the same. I have a fifth screenshot after the page refreshes that shows that the Session Token has changed. You can see in my code that I did not specify those things, but because I am using the "Autocomplete Widget" they are done for me.

I'm afraid token parameter that you can see in the request is not the places autocomplete session token. This parameter was there even before Google Maps platform changes. I don't know how Google manages handle autocomplete session tokens, probably they handle them server side.
The documentation states that autocomplete widget has automatic session tokens implemented.
Autocomplete (Web Service and JavaScript) and the JavaScript Autocomplete widget have been updated to use session-based billing.
Note: No code changes are required for the JavaScript Autocomplete widget, as the widget manages sessions for you automatically.
source: https://cloud.google.com/maps-platform/user-guide/pricing-changes/
To be sure I would suggest checking you billing reports in developer console.
https://console.cloud.google.com/billing/unbilledinvoice?project=YOUR_PROJECT_ID&authuser=1
In this report you will see which method was used for billing of places autocomplete requests. Have a look at rows where Product column is Places API and the Resource column will show which method was used for billing Autocomplete - Per Request or Autocomplete - Per Session.
If you use Place autocomplete widget with automatic sessions, but this report shows only usage of Autocomplete - Per Request reach out to Google maps technical support via https://console.cloud.google.com/google/maps-apis/support

If you use google.maps.places.Autocomplete(input, options); it will add session token automatically.
In your pluker example there is no Autocomplete but new google.maps.places.SearchBox

Authenticate with Google as a specific User ID

I have set up Google Drive UI integration with my web app. When a user chooses to create a new file in Drive using my app, they are sent to
https://[mysite]?state={"folderId": "...", "action": "create", "userId":"..."}
I am signed in to multiple Google accounts (A and B) in my browser.
Account A opts to create a file, and is sent to my app with "userId": "[A's user id]" in the url.
However, with the gapi.auth2 JS library:
authInstance.signIn()
// Listen for sign in, and then:
authInstance.currentUser.get().getAuthResponse().access_token
Returns an access token for Account B.
This causes 404 errors when I try to create a file in folderId, which is only accessible to Account A.
How can my app authenticate with Google as the specific userId that opted to create a file?
The docs for Drive UI Integration do not seem to cover this issue, and the docs for Google Sign-In for Websites do not (as far as I can tell) provide a way to specify which account I want to sign in with (except through broad filters like "use a specific G Suite domain").
Update: The HTTP Google OAuth docs allow the client to specify a login_hint, which is an "email address or sub identifier" – it is not entirely clear what a "sub identifier" is. And, strangely, the Javascript API docs imply that login_hint is a response parameter, not something I can set.
Update 2 userId is an opaque Google-provoded integer value that I don't recognise. My app, Including the Drive upload, is fully client-side in JS and has no long-term data storage.

Importing AdWords Call Conversions to Analytics without CID - only gCLID - with Measurement Protocol

We have an Google Adwords account linked up to a Google Universal Analytics account and we are trying to attribute call extension conversions to the Adwords via Analytics using only the gCLID. We are getting the gCLIDs via the Google Adwords API.
In other words, we get these Google click IDs (gCLID) from the Google click metrics report every time there is a click to call on our ad. However, since the user never actually goes to the site, it is impossible to grab the Google Analytics CID to identify an Analytics session.
We would like to import these gCLIDs to Analytics and have them attributed to our Adwords account by sending events using the measurement protocol. These are the parameters that we are sending with MP so far but with no success as of yet.
v: "1",
tid: "UA-xxxxxxx-x",
cid: "555",
gclid: CMvmjrWWvdECFQONaQo,
t: "event",
ec: "SEM Call",
ea: "Call Placed",
cn: "NADA Event",
ci: "xxxxxxxxx",
cs: "google",
cm: "cpc",
ev: 27,
kc: +nada
The event source / medium turn out to be correct but Analytics doesn't seem to realize that we are trying to import conversions to attribute and link with our Adwords account.
We know that importing directly to Adwords is a possibility, but we would rather import directly to Analytics if possible, due to other tracking issues.
Can anyone help me attribute my gCLIDS (conversions) to my Adwords account and specifically, to Adwords keywords, in this way?
UPDATE: I'm still having the same problem; that is, t event registers as a new session and does not attribute to the linked AdWords campaign/keyword. I understand why there is a new session because I don't have access to the CID param. However, I don't understand why it will not link to the AdWords info in Analytics since I am providing the GCLID param.
I am currently trying to import directly to AdWords using a CSV with the GCLIDs from the click report and even that is failing. In AdWords, I tried both "import from clicks" and "import from calls" using csv. The first tracking status just keeps saying "no recent conversions" and the latter displays "unverified". I can understand the unverified because we aren't tracking calls from the website, only call extensions and click-to-call. The import from calls will be unverified until it sees the JS tag on the website is set up, as I understand it, and we have no reason to do that.
At the end of the day we are trying to get our GCLIDs generated from call extensions and click-to-call "clicks" that we are pulling from the click_metrics_report to attribute to the proper AdWords Keyword and Campaign. It doesn't matter at this point whether it is through GA or AdWords.
Any ideas?
As a last resort, for lack of a better plan, I am going to set the Measurement Protocol events as a goal, and then import the goal into AdWords. With any luck the GCLID param that I pass to GA will carry over through the goal into AdWords and attribute correctly.
Thanks very much.

Display Google Analytics data on my web site?

I'm trying to figure out a way to display data collected from Google Analytics on my web site. I'm using NopCommerce, and I want to display this information/statistics in a view in the Admin Section.
There might be many ways to achieve this, and after searching the web I found some examples using JavaScript, but I couldn't find a good tutorial for this.
I have also looked into integrating Google Analytics with C#, and I found this example: http://biasecurities.com/2012/02/using-the-google-analytics-api-with-asp-net-mvc/#comment-1310
A demo project can be downloaded from GitHub here: https://github.com/jgeurts/Analytics-Example
However the demo project doesn't seem to work as the google URL (https://www.google.com/analytics/feeds/accounts/default) is no longer in use.
As I'm using a MVC application it would be preferable to make this happen by applying the Google Analytics logic within a Controller and displaying it in a view. Or something like that.
Google provides a query tool to experiment with here, so it shouldn't be to hard extracting data from Google Analytics and display the data on the website: https://ga-dev-tools.appspot.com/explorer/
Has anyone been able to successfully display Google Analytics data on their website?

In case some one else is having the same problem here's what I did and it pretty much answers the question.
1.
Here is the basic code for a API client that access data from Google Analytics via your Google Service Account. https://developers.google.com/api-client-library/dotnet/guide/aaa_oauth#service_account
In order to make this application work you need to have several things ready before you start coding.
*Google Analytics Account - once registered a "tracker" code is generated for you to put on each webpage you want to track. You may not see any statistics right away and it can take up to 24h before any statistics are shown in the Google Analytics Dashboard.
An OAuth Authorisation (API-Key) with CLIENT_ID, CLIENT SECRET and EMAIL ADRESS (This is not your normal email but a service account email that is created for you when you make an OAuth Authorisation).
console.developers.google.com/
A serverkey, can also be created here: console.developers.google.com/.
You can also create a browser key, haven't bothered with that though and don't know what it does.
Finally you need a certificate key. Your application will only be able to access your Google Analytics account by using the key and credentials. The key is an encrypted p.12 file. You can find the key in https://code.google.com/apis/console/.
Here is a guide for the key: http://www.pimcore.org/wiki/display/PIMCORE/Setup+Google+Analytics+Reporting+with+OAuth2+Service+Accounts+(since+1.4.6)
2.
Now that you have all keys and credentials you need it is time to start looking at the code I linked in "1". Here is the basic for it again: https://developers.google.com/api-client-library/dotnet/guide/aaa_oauth#service_account
Create a console application and implement the code above.
Note: your not making a "Google Plus service" so you have to change those parts for "AnalyticsService". Go to manage nuget and install packages:
Google Apis Core Library
Google Apis Client Library
Google Apis Auth Client Library
Google Apis Analytics.v3 Library
Google GData Client (This provides properties used to query data, metrics, demensions etc)
Google GData Extensions Library
Analytics
Might forgot something but here are the namespaces I use:
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Security.Cryptography.X509Certificates;
using Google.Apis.Auth.OAuth2;
using Google.Apis.Services;
using Google.Apis.Analytics.v3;
3
Finally, here's is some of my code. Note I'm creating a new Analytics as supposed to "new ServiceAccountCredentials" as in the code from Google. That's the main difference:
Retrieve data from Google Analytics API with .NET, multiple metrics?
With this I'm able to access and query data from Google Analytics account. The best part is that you don't have to log in to Google for this as the key and credentials gives you access to the account data directly.
I will migrate this code to MVC now I might make an update later on for how to implement this Analytics client in Mvc.

This document explains how to get Google Access tokens and use them to get Google Analytics data to be displayed in our websites.
Example: A live example is available in
https://newtonjoshua.com
Note: Use the same Gmail account for all the below steps.
STEP 1: Set Up Google Analytics
Follow the below steps to set up Google Analytics on your website
Sign in to your Analytics account.
Select the Admin tab.
Select an account from the drop-down menu in the ACCOUNT column.
Select a property from the drop-down menu in the PROPERTY column.
Under PROPERTY, click Tracking Info -> Tracking Code.
To collect data, you must copy and paste the Analytics tracking code
into the source code on every web page you wish to track.
Once you have the JavaScript tracking code snippet for your
property, copy the snippet exactly without editing it.
Paste your tracking code snippet (unaltered, in its entirety) before
the closing </head> tag on every web page on your site you wish to
track.
Once you have successfully installed Analytics tracking, it may take
up to 24 hours for data such as traffic referral information, user
characteristics, and browsing information to appear in your reports
Refer to:
https://support.google.com/analytics/answer/1008080?hl=en
https://analytics.google.com
STEP 2: Get Tokens
Google Project:
To create a Google Cloud Platform project, open the Google Developers Console (https://console.developers.google.com) and click Create Project.
Enable OAuth 2.0 API access:
Your application will need to access user data and contact other Google services on your behalf. Use OAuth 2.0 to grant your app API access.
To enable that, you need a client ID:
Open the Google API Console Credentials page (https://console.developers.google.com/apis/credentials).
From the project, drop-down and select your project.
Select Create credentials and choose OAuth client ID.
Under Application type, select Web application, enter a Name and
set the Restrictions by entering JavaScript origins, Redirect URIs to point the website where you are planning to display the data, and then click Create.
Make note of the OAuth 2.0 client_id and client_secret. You will need them to configure the UI.
Get Authorization code:
Enter in browser:
https://accounts.google.com/o/oauth2/auth?scope=https://www.googleapis.com/auth/analytics.readonly&response_type=code&client_id={{
client_id}}&redirect_uri={{redirect_uri }}
&approval_prompt=force&access_type=offline
You will get redirected to
{{redirect_uri }}?code=={{authorization_code}}#
Get Refresh Token:
Send a POST request, possibly via a REST console to
https://www.googleapis.com/oauth2/v3/token?code={{authorization_code}}
&client_id={{client_id}}&client_secret={{client_secret}}
&redirect_uri={{redirect_uri }}&grant_type=authorization_code
You will get a JSON response with
{"refresh_token": refresh_token}
You can use the refresh token to get access token to access to Google APIs.
Get the Access Token:
Send a POST request to,
https://www.googleapis.com/oauth2/v3/token?client_id={{client_id}}
&client_secret={{client_id}}
&grant_type=refresh_token&refresh_token={{refresh_token}}
You will get a JSON with access_token in the response.
{access_token: {{access_token}}}
Example:
var access_token = '';
function getAccessToken(){
$.post('https://www.googleapis.com/oauth2/v3/token', {
client_id: {{client_id}},
client_secret: {{client_secret}},
grant_type: 'refresh_token',
refresh_token: {{refresh_token}}
}, function (data, status) {
if (status === 'success') {
access_token = data.access_token;
// Do something eith the access_token
}
else {
console.error(status);
}
});
}
Check Token validity:
Send a POST request to,
https://www.googleapis.com/oauth2/v1/tokeninfo?access_token={{access_token}}
Example:
function checkValidity() {
$.post('https://www.googleapis.com/oauth2/v1/tokeninfo', {
access_token:{{access_token}}
}).done(function (data, status) {
if (status === 'success') {
console.debug(data.expires_in);
var check = false;
check = data.hasOwnProperty('expires_in');
if (check) {
// Token is valid
}
if (!check) {
getAccessToken();
}
}
else {
console.debug(status);
}
})
.fail(function (data) {
console.error(data);
getAccessToken();
});
}
Step 3: Fetch Data
Embed API:
The GA Embed API is a JavaScript library that allows you to easily create and embed your GA dashboard on your website in a matter of minutes.
Refer to https://developers.google.com/analytics/devguides/reporting/embed/v1/getting-started.
Query Explorer:
Visit Embed API Query Explorer and authorize
https://ga-dev-tools.appspot.com/query-explorer/
Select the view for which you want to fetch the data.
Select the required metrics and dimensions.
Example:
Get Country Data (I want to know the number of users accessing my website from each country).
To get that data, select the metrics as 'users' and the dimensions as 'country'.
Click on Run Query.
You will find the analytics data for the query displayed in a table.
Copy the API Query URI. And add access_token={{access_token}} to the URI.
Example:
https://www.googleapis.com/analytics/v3/data/ga?ids={{ids}}&start-date=2015-07-01&end-date=today&metrics=ga%3Ausers&dimensions=ga%3Acountry&access_token={{access_token}}
Send POST request to the URIs to get the data in your browser.
Example:
function gaGetCountry() {
$.get('https://www.googleapis.com/analytics/v3/data/ga?' +
'ids={{ids}}' +
'start-date=2015-07-01&' +
'end-date=today&' +
'metrics=ga%3Ausers&' +
'dimensions=ga%3Acountry&' +
'sort=ga%3Ausers&' +
'filters=ga%3Ausers%3E10&' +
'max-results=50' +
'&access_token=' + {{access_token}},
function (data, status) {
if (status === 'success') {
// Display the Data
drawRegionsMap(data.rows);
} else {
console.debug(status);
}
});
}
Step 4: Display Data
Now we have gathered the data. Finally we have to display them on our website.
"Display live data on your site" is the title of Google Charts. And that is what we are going to do.
Refer to https://developers.google.com/chart/.
The following example will draw a GeoChart in the div with id='countryChart'.
// Draw country chart
function drawRegionsMap(data) {
var head = data[0];
head[0] = 'Country';
head[1] = 'Users';
for (var i = 1; i < data.length; i++) {
var d = data[i];
d[1] = Number(d[1]);
}
var chartData = google.visualization.arrayToDataTable(data);
var options = {
title: 'My Website is viewed from,',
domain: '{{Country Code eg: IN for India}}',
tooltip: {
textStyle: {
color: 'navy'
},
showColorCode: true
},
legend: {
textStyle: {
color: 'navy',
fontSize: 12
}
},
colorAxis: {
colors: ['#00FFFF', '#0000FF']
}
};
var chart = new google.visualization.GeoChart(document.getElementById('countryChart'));
chart.draw(chartData, options);
}
Refer to https://newtonjoshua.com to view the above example in action.

I'd recommend to use the new Google APIs Client Library for .NET (currently in beta). Information about the Analytics API can be found here. Note that the Client Library for .NET (google-api-dotnet-client) supersedes the .NET library for the Google Data API (google-gdata).
Unfortunately, there is no sample code available yet from Google (see this issue) but this question on SO should help.
If you don't want to login every time you access Analytics data, you can use OAuth 2.0 authorization with offline access. You have to grant initial access to your web application, though. This requires you to login once but you can use a refresh token later on.

To date, the easiest solution is to create a report of your Google Analytics data in Google Data Studio (free, native connector to GA), and share that report to embed in an <iframe>
See details on https://support.google.com/datastudio/answer/7450249?hl=en
You get
flexible vizualisation
security and control on the data being shared
0 code nor maintenance
result is being cached for better performance

I spent a couple of days trawling the Internet to get some sample ASP.NET code with no luck. I used Koffe14's method for authentication, and also Linda Lawton's excellent ASP.NET analytics example.
I've posted the code on my website. It's not MVC, but it might help other people who need to get data from Google analytics into an ASP.NET web page using the v3 Google API.

Check out embeddedanalytics.com (disclaimer - I work with them).
This is a simple yet powerful solution geared for people that don't want deal with learning the GA API and then having to link it to visualization (e.g. charts/graphs).
Basically define your charts and embed a snippet of code where you want the chart to show. We also support mechanisms so that it is easy to integrate into a custom built CMS or other web portal.