Universal Analytics

Universal Analytics (17)

Google Analytics Bounce Rate V/s Exit Rate

Bounce rate and Exit rate are 2 metrics whose definitions and names often manage to confuse analysts and this is one of my favorite topics to talk about in my Google Analytics trainings.
Let's start by Understanding official definitions of both.

Bounce Rate: The percentage of single-page session (single page sessions / total sessions ) %

Exit Rate: The percentage of exits from the property that occurred out of the total pageviews. (exits / pageviews )%

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Google Analytics Regular Expression Examples

Few years ago I was training a group of analysts on Google Analytics and when moved to topic of regular expressions one of the trainees casually mentioned that those strange symbols looked very irregular to be called regular expressions. 

What are regular expressions?

Regular expressions are equivalent of SQL queries for set of text rather than a relational database. In simple words you can use regular expressions to query text and filter patterns of the texts that you are looking for. 

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Understanding New Users Vs Installs: Google Analytics for Mobile Apps

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Why AdWords shows X conversions for a campaign and Analytics shows Y?
Why Facebook shows X conversions for a campaign and Analytics shows Y?
I have heard these type of questions more times than I have “Good Morning”

It’s a nightmare for analysts when two tracking systems report different metrics for same dimension and the nightmare gets even scarier with app analytics. Because often behavior analytics tools like google analytics are not enough to track app install sources and mobile measurement platforms like Apsalar, Apsflyer, Tune, etc. are used to track AppInstalls.  

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Inside Google Analytics User explorer

 

What is it?

Google analytics finally launched user explorer based on anonymous client ids. As the name suggests it lets you explore activities at user level for your website or app. But before we dive deeper lets 1st understand the concept of user from perspective of Google Analytics. This feature visualizes user journey of every user on your website / App with appealing graphical interface.

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Google Analytics Chart Types

One of my favorite quotes about data visualization is..

Numbers have an important story to tell. They rely on you to give them a clear and convincing voice. Stephen Few

One of the most effective ways of giving clear and convincing voice to data is by visualizing data in a way that shows insights rather than data itself.
In this article I am going to discuss data visualization opportunities available in Google Analytics.

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Google Universal Analytics - Calculated Metrics

This cool and much awaited feature is finally here for Google Analytics, calculated metrics is a feature which will save you time and effort to download reports and perform spreadsheet jugglery for metrics which are not predefined in Google Analytics.  These metrics most of the time are metrics which are not common across all organizations but are specific and important to each individual organization.  In a way you can term this as 1st step towards personalizing Google Analytics. 

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Or statements using Regular Expressions – Google Analytics

I have no idea why this strange looking mixture of special characters(referred as Metacharacters) is called regular expressions, quite honestly they look very ….. Irregular.

Any way if you Google Analytics is your trade then regular expressions can save you a ton of time and effort. You can use regular expressions in Segements , Report Filters, View Filters. What you can achieve with regular expressions can also be achieved with hard work and spreadsheets. But I am not a hard working guy so I kinda like regular expressions, which saves me effort.

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