I have call center website and adding google analytics.
When calling client- operator need to use website for resolving client problems. When operator open one of the tab in website - I creat operation_id (in code), for grouping pages in one action.
I create all possible goal from website in google analytics, adding operator_id as Client_id in google analytics. Adding user variables like operator_id and operation_id.
What I need:
to know the time from start operation to end operation, time that I need for reaching the goal
to know the slowest operator as operator_id for teaching them
Related
I am new to Google Analytics. I have a conversion set up, and I'd like to capture demographics for individuals who convert at e individual level. When a user converts, I'd like to pass the statistics from Google Analytics into my own database, or keep a record of the ID assigned at conversion in Google Analytics and download the data. Is this possible? I want to do analysis on who is likely to convert versus not - age, shopping habits, etc - and link these details back to the type of specific conversion.
Thoughts?
We if want to add add track users at individual level, try creating a Custom diamension and passing the userID everytime you make a GA call.
Next to view the same :- in tables that you view your analytics data, there will be this option called 'Secondary diamention', from the list that appears.. Choose the custom diamension name that you had assigned. Now you will be able to see each row with the userID along slide.
Add user ID to your tracking script
The first step to your question is to add the user ID to your tracking. If you have some way to identify users on your website (ie: through email marketing tool, your CRM, etc), then you should set up user ID tracking. Here is the Google Dev article about that:
https://developers.google.com/analytics/devguides/collection/analyticsjs/cookies-user-id?hl=en
However, basically... you just have to add this to your tracking script (replacing the 'create' line you currently have, replacing "USER_ID" with the user ID your system gives them.
ga('create', 'UA-XXXXX-Y', { 'userId': USER_ID });
In addition, I usually include this UserID as a custom dimension, so that I can view it in Google Analytics and other reports. To do this, first set up a custom dimension for your ID, as a "User-level" dimension. Then just add this after your user ID is available (assuming this is your first custom dimension):
ga('set', 'dimension1', USER_ID);
Connect User ID to Demographics
Unfortunately, the demographics information that Google Analytics provides (under "Audience") is not compatible with custom dimensions (like userID). So, the API only allows you to pull the audience data in aggregate (ie: connected to City, number of users, pageviews of those types of people... etc). If this works for you, check out the GA Query Explorer (below) to try out different combinations of dimensions & metrics to drill down as deep as you can and maximize the information you gain from this demographic info.
Connect Google Analytics Data to Your Database
In order to connect GA data to your database in an automated fashion, you will need to set up some kind of scheduled process that runs a query off of the Google Analytics API. To explore what combinations of metrics and stuff are available, I'd suggest checking out the Google Analytics API Explorer and the Google Analytics API reference material. What I did was set up an SSIS package (using SSIS GoogleAnalyticsSource) as the data source, which made it fairly easy. Then just scheduled that to run daily, populating the data I want into my database.
Alternatively, you could download less complicated reports directly from Google Analytics and import them into your database with something like SQL Server Management Studio.
There are a lot of very good articles and answers out there that explain (in detail) why we get spam referrals messing up Analytics data. Example results: how to automatically stop spam traffic in google analytics
What I want is a definitive solution...
If you only manage one analytics account, it would not be unreasonable to manually filter suspect domains, but even this is not sustainable. If you, like me, manage over 30 accounts and counting, it gets ridiculous. What is the long term solution?
Analytics data is important for making business decisions.
Is there some service that, like antivirus software, keeps updating its 'definitions' and constantly filters spam traffic?
How can we fight back?
And how can/is it already automated in a one-click solution?
You can try these 2 options to decrease referral spam:
Option 1 - Filter bots
Mark "Bot Filtering" option on on your Google Analytics View Settings. You will need to do it to all of your views
And also create a filter to exclude referral sources. To do this, create a new filter with options:
Filter Type: Custom
Exclude
Filter Field: Campaign Source
Filter Pattern: youporn-forum.uni.me|free-share-buttons.com|Get-Free-Traffic-Now.com|event-tracking.com|darodar.com
--> Also add other spam sources that you have
You can reuse the filter to multiple views.
And its also recommended to not apply these filters in your main view. Instead, create a copy of main view and use it to analyse your data.
Its not a permanent solution (you will need to add new spam sources from time to time).
Option 2 - Segment real users
You can also create a segment to filter only users that visited at least one page (it will filter spams):
Create a new segment
Advanced > Conditions
Filter | Sessions | Include
Screen Views | per session | > | 0
Then, when you are analyzing your data, use this segment to see only real users.
Not all spammers are blocked by Google Analytics (only up to 75% of bots can be blocked by google analytics). By adopting the following steps you can automate removing referrer spam:
Go to Acquisition>all traffic >refferals and a new window will be opened which shows sources from where your website get traffic
In this step select all website who have 0 or 100 % bounce rate and copy it and make a regular expression .the method for making expression is given below
Use "\." (escaped dot) between every part of the domain and use "|" (pipe) symbol to separate every link. E.g. consider your blog hits by two spammy URLs "ads123.abc59055xxb896.comtom" and "dd54.xy789z.usjpa" then we made following resultant expression:
"ads123\.abc59055xxb896\.comtom|dd54\.xy789z\.usjpa"
if you have any trouble in making regular expression then click here to see the complete process
Select the add filter option in admin tab and select include and paste the whole expression in the expression field and click on save
This may be a possible duplicate of this question, but according to all the Google Analytics documentation I really should be able to pull my list of custom segments.
Since I have a very large list of them, it would be suboptimal for me to manually copy the segment ids over one at a time.
I'm following this walk through. Steps to reproduce:
Create a custom segment using date of first session in your Google Analytics account.
Authorize the Google Analytics guide to access your Google Analytics account.
Try their on-page query tester, and inspect whether your custom segment is there.
One thing I've already ruled out was the user that created the segment. I've manually created a segment with the same user that I'm querying the API with and it still does not show. Is there a flag I need to set somewhere to include custom segments?
Edit:
It turns out that it will list some custom segments, but not ones created with date of first session, so this is a duplicate of this question, which means that there is a bug in the Google Analytics API.
There was a bug which is now fixed. So it is now possible to list the Date of Session Segments in the Google Analytics Management API by calling the segments.list() method.
So after days of trying to solve this one I've come to the conclusion that it cannot be done as asked.
There is, however, another way to do it. For every segment set up a daily (or weekly, etc) email report to a email as a TSV. In each email body specify the name of the segment so when you're consuming the emails you can know which segment the attached TSV is for. It doesn't look like the daily reports were designed with segments in mind, since non of the metadata included in the TSV mentions which segment it is for.
From there it's trivial. Connect to the email address using an IMAP client once a day and update the numbers.
Note that the daily email only contains the numbers for that day (not a specified range), so you'll need to first generate the report one time with the historical data to load in.
While hacky, one nice thing about this approach is that it keeps your reports in sync with your (faked through email) api code (provided you match the column headings in the TSV). So, if for example, a new filter is included into a report, the new daily fields will continue to update.
Unfortunately though, the past data won't be reflected in the change.
Obviously this isn't great, but if you are monitoring daily cohorts it's the best you've got if you need to stay with Google Analytics. I have raised this as a bug to the Google Analytics developers, but I haven't heard back as to whether or not they plan to fix it.
I've released a mobile app (Android) which I track using Google Analytics. As my experience with Google Analytics is little, I did some mistakes by not knowing when to use events versus virtual pageviews.
My app has a login and a signup screen and I'd like to track the conversion rate of users signing up for an account. The app tracks the page views (/Account/Login and /Account/Create Account) and the actual login and account creation as individual events (Category: Account, Action:Logged In and Account Created).
So here's my problem: In order to do a nice funnel analysis, I should have created virtual pageviews instead of events if the user logs in or creates an account. Though I can create a goal based on events it will not tell me the drop off rates in the individual steps the user takes. Only the funnel visualization can do this AFAIK.
Is there a way to automatically create page views using custom filters in Google Analytics? I've tried to setup a filter like this:
Field A -> Extract A Event Category Account
Field B -> Extract B Event Action (Account Created|Logged In)
Output To -> Constructor Request URI /Account/$B1
Field A Required Yes
Field B Required Yes
Override Output Field Yes
Case Sensitive No
However, that doesn't seem to work. I do not see any additional page views or any other changes. Any suggestions?
(Of course I could release an update to the app and I will probably also do this soon, but the above solution would help me with my experiments right now - without having to alter the source code every time I have "a new idea" how to improve the analytics data)
Unfortunately I've found that it's impossible to achieve this without updating the mobile clients. However, moving forward I will take a closer look at Google Tag Manager which allows much greater flexibility.
We have a site that tracks conversions through Google Analytics for redirects to an affiliate. However, not all redirected visitors convert to a sale after they leave our site. Our affiliate reports back to us weekly on who converted (and we can identify an individual user session from that report). Is there a way to get that conversion data back into Analytics? We've got a great coding team, but I just need to point them in the right direction.
Good question Jeff. If you don't mind the accuracy of the timing being off, your team could certainly just step through your site and intentionally trip the conversions.
Other than that, you may look into using a custom solution to bulk import that data using this type of API: Google Analytics for Mobile Websites
This Google Analytic server-side solution supports PERL, ASP.NET, JSP, and PHP. If you're looking for a repeatable process for batch importing GA data, this maybe a viable solution for you.
Hope this gets you going in the right direction.
I would not recommend manually 'tripping' the conversions.
There is no easy way to get the data back into Analytics. And it would depend on your reporting requirements (time lines, etc)
One way to approach this is to set a custom variable that is scoped to a visitor that would identify the visitor in an anonymous way (not personally identifiable manner, beware the privacy policy).
http://cutroni.com/blog/2011/05/05/merging-google-analytics-with-your-data-warehouse/
So when a visitor comes to the site, a custom variable would get set. This variable acts as a key to associate behavior on the site and the affiliates. Once you receive the data about which visitors converted from your affiliates associated to the non-personally-identifiable ID, you can use this to have code fire some conversion events once it recognizes on a separate visit that a visitor with certain custom variables set using the _getVisitorCustomVar()
http://code.google.com/apis/analytics/docs/gaJS/gaJSApiBasicConfiguration.html