Get Google Analytics Interview Questions and Answers for 2016-2017 #Certification #GA

 

Q1. How to Set Up Site Search and Configure Reports in Google Analytics

If you have a search button on your site, you probably want to know what people are searching for when they come to your site. This data is incredibly useful for e-commerce websites. This tutorial will help you to know how to set up site search, identify search query parameters and see site search data in Google Analytics.

How to Set Up Site Search?

Sign in to your Google Analytics account, click on Admin - >View Settings.

Under Site Search Settings, set Site Search Tracking to ON.

In the Query Parameter field, enter the word "s" or "q".Click Save Changes.

Where to See Site Search Query Data in Google Analytics?

 Navigate to Behavior - > Site Search - > Overview to find the site search query data.

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Q2. How Can You Use Cohort Analysis Report in GA to Increase Conversions?

Cohort analysis helps us to examine a segment of users who share a set of common characteristics over a period of time. Performing an analysis on this refined set of customer data/user data can provide some valuable details as to how we can strengthen our current marketing strategy.

What is a Cohort?

A Cohort is a group of users segmented by time who share the same set of characteristics. For example - The Indian Cricket Team For the World Cup 2015 is a cohort because all the members share common characteristics, they all played for India in the World cup 2015.

Why Cohort Analysis Matters For Your Business?

Businesses often survey the performance of new customers acquired with the help of a particular marketing channel. 

This is simply a cohort. It’s all customers who were acquired from a particular channel. 

Here are some more examples of Cohorts:

• All customers who ordered during Christmas.
• Performance of customers who are from Sweden.
• Performance of customers who register on the site through Facebook.
• Performance of customers in the first week of the month.

Performing Cohort Analysis Using Google Analytics

The Cohort report in GA has 4 main sections - Cohort type, Cohort size, Metric and Date range. Let us learn about each of these sections in the coming para.

Cohort Type - The Cohort Type corresponds to the table column that includes the total number of users in a cohort. Currently, only 1 option is available i.e. the Acquisition date. The cohorts are grouped based on when users started their first sessions. 

Cohort Size - The time frame that determines the size of each cohort. This corresponds to the date and number of users in each cohort cell in the dimension column. You can choose by day, by week or by month.

The following types are available under Cohort Size:

Per User

A- Goal Completions per user 
B- Page Views per user 
C- Revenue per user 
D- Session Duration per user 
E- Transactions per user 

Retention

A- User Retention

Total

A- Goal Completions
B- Page Views
C- Revenue
D- Session Duration
E- Sessions
F- Transations
G- Users

Metric - The metric corresponds to all columns in the table, except the Cohort Type column, which displays the dimension. This is what you measure under this analysis.

Date Range - The time boundary that determines what data appears in the report. This corresponds to the number of rows in the table.

In the example below, we have created a cohort by day, using the metric "user retention" for the past 7 days.

Cohort report in Google Analytics

The first column identifies the cohorts and the number of users in each cohort. 

The rest of the columns reflect the time increments you choose for Cohort Size. For example, if you select by day, then each column includes one day of data. There are 13 time-increment columns, 0-12.

By analyzing the cohorts we can easily check whether performance improves or deteriorates. As you look down the column at data for each newer cohort, you’re looking forward in time (for example, Day 4 for the second cohort occurs after Day 4 for the first cohort though they appear in the same column).

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Q3. Google Introduces Trash Can To Restore Your Lost Analytics Data

When was the last time you accidently deleted a view, property or account from your Google Analytics account? Till today, there was no feature available to pull in the lost data but starting today, Google Analytics has launched a new feature known as the Trash Can that will allow users to restore the data that they delete accidently. 

Where to Locate the Trash Can?

Trash Can can be found under the Administration tab. Just go to the admin tab, select an account, and click the Trash Can feature on the left-hand panel. It gets displayed under the accounts section. Check the data that you wish to reclaim, click “Restore, and done! Your view, property or account is now just as it was before you deleted it. 

When Will It Get Activated?

This feature has been activated on all GA accounts starting from today i.e. 28th January, 2015.

How Long Will The Lost Data Remain In The Trash Can?

The lost data will remain safe for 35 days from the day you originally trashed it. After 35 days, say a final goodbye to your data.

Awesome, this feature is great. Do you love this feature, please share your comments below.

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Q4. Google Introduces Analytics Spreadsheet Add-On - Schedule and Run Reports Automatically

Philip Walton, lead Google Analytics developer recently introduced the Google Analytics spreadsheet add-on that works to automate your work and saves time from manually editing analytics data in spreadsheets. It works similar to the magic script but the interface is easier to use. In fact, it is an enhancement of the older magic script. It brings you the power of the Google Analytics API combined with the power of data manipulation in Google Spreadsheets. This tool is useful for:

• Querying data from multiple views.
• Creating custom calculations involving several dimensions and metrics based on custom dates.
• Create visualizations with the built-in visualization tools, and embed those visualizations on third-party websites.
• Scheduling your reports to run at a future date automatically.
• Enhancing privacy settings to control who can view and edit your spreadsheet.

How to Install the Google Analytics Add-On

• Create a new Google Spreadsheet (or open an existing one).
• Choose: Add-ons > Get Add-ons… from the menu bar. (You can also get this add-on by clicking here)
• Find the Google Analytics Add-on from the add-ons gallery and select it.
• Click accept when asked for permissions. A "Google Analytics" submenu should now appear in the Add-ons menu.

Have a look at the below video for easy understanding:

How to Create and Run Reports?

1. Open spreadsheet. Click on Add-ons -> Google Analytics -> Create a New Report
2. A right hand sidebar will appear. Provide a name for the report you wish to prepare.
3. Select account information and choose custom metrics and dimensions.
4. When done, click the create report button.

This will create your custom report.

Now go to "Add-ons" > "Google Analytics" > "Run Reports" to run your first report. You can also  go to "Add-ons" > "Google Analytics" > "Schedule Reports" from the menu bar. This opens a report scheduling dialog where you can schedule when your reports will run.

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GA Interview Questions and Answers continued...

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