Top 10 Google Analytics Interview Questions & Answers 2020

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ANS – Google analytics very noticeable feature is real-time reports.  It is a unique and helpful feature that can analyze live user interaction within the website. It will help to business analyst where the customer goes on the website and how they will lose. And also best to analyze one-day campaign performance along with website traffic easily. Not only that it is most importantly using to analyze the proper tracking happening within the website lively and correctly.

 2. Reason for high Bounce Rate?

ANS- Bounce rate is a factor that helps to evaluate the interest rate of visitors within the site. It’s calculated as in percentage of the number of exists without any interaction within the website. If the bounce rate is high, it will be pointed out that most of the visited exited even before loading the web page. So need to reduce the bounce rate for better performance and traffic. Here are the few reasons that may cause high bounce rate.
  • Website having high page loading time
  •  Too Much Error Pages
  •  Mising Appropriate Content
  •   Responsive Issues
Because of this issue chance to skip the website. It completely technical issues. Need to solve in priority to overcome the SEO issue and better SERP ranking.

 3. Types of Goals in Analytics and Application

 
ANS – Mainly 4 types of goals can be set inside google analytics to analyze the conversions and objectives as preference. It is only visible within the analytics reports. And used for measuring the performances.
 
Goal Type
 Description Example
 Destination A specific location loads Thank you for Registering! Web page
or App Screen
 Duration Sessions that lasts a specific
amount of time or longer
10min or Longer Spent on a Site
 Pages/Screens per session  A user views a specific number
of pages or screens
 5 Pages or Screen have been Loaded
 Event An action defined as
an Event is triggered
 Social Recommendation, Video Play,
Ad Click

 4. Explain Dimension & Metric in Analytics

ANS – These are the building blocks of google analytics report. Every report in Analytics is made up of dimensions and metrics.
Dimension is are the attribute of your data. For example, the dimension Device indicates the Device Types, for example, “Desktop” or “Mobile”, from which a session originates. The dimension Page indicates the URL of a page that is viewed.
Metrics are quantitative measurements. It will be represented in numbers. The metric Sessions is the total number of sessions. The metric Pages/Session is the average number of pages viewed per session.
The report tables in Analytics reports arranged dimension values into rows, and metrics into columns. For example, this table shows one dimension (City) and two metrics (Sessions and Pages/Session).
            DIMENSION                      METRIC                   METRIC            
 Device Sessions Page/Session
 Desktop 5000 3.74
 Mobile 4000 5.74

 5. What are the main Sources that Analytics Tracks?

ANS – Source is the origin of site traffic, such as a search engine (for example, google) or a domain (example.com).
In common every referral to a website has an origin or source. popular sources include: “google” (search engine), “facebook.com” ( referring site), “spring_newsletter” (newsletters), and “direct” (users directly typed site URL into a browser, or who had bookmarked site).

 6. What is the Benefit of Google Analytics Remarketing

ANS – Remarketing audiences in Analytics is for re-engage audiences that are likely to convert or already visited customers. A remarketing audience is a list mode of tracking cookies or mobile-advertising IDs that represents a group of users you want to re-engage because of their likelihood to convert. We can able to create campaigns using this audience for better conversion.

 7. What happens for tracking a user clears his browser cookies

 
ANS –  Google analytics tracking site traffic using their javascript and identifies using their browser cookies. if the user clears browser cookies then analytics cant identified the previous visit. So further visits calculated as a new users.

 8. What is Attribution Modeling in Google Analytics

ANS – Attribution modeling term refers assign credit for sales and conversions to touchpoints in conversion paths. The attribution model is the set of rules, that determines how credit for sales and conversions is assigned to touchpoints in conversion paths.
 For example, the Last Interaction model in Analytics assigns 100% credit to the final touchpoints (i.e., clicks) that immediately precede sales or conversions. In contrast, the First Interaction model assigns 100% credit to touchpoints that initiate conversion paths.
Aa a customer finds your site by clicking one of  Google Ads ads and returns one week later by clicking over from a social network. That same day, the user comes back a third time via one of your email campaigns, and a few hours later, user returns again directly and makes a purchase.
Last Interaction model  In the last touchpoint—in this case, the Direct channel—would receive 100% of the credit for the sale.
Last Non-Direct and last AdWords Click In the Last Non-Direct Click attribution model, all direct traffic is ignored, and 100% of the credit for the sale goes to the last channel that the customer clicked through from before converting—in this case, the Email channel.
Last Non-Direct and last AdWords Click In the Last Google Ads Click attribution model, the last Google Ads click—in this case, the first and only click to the Paid Search channel —would receive 100% of the credit for the sale.
First Interaction model  In the First Interaction attribution model, the first touchpoint—in this case, the Paid Search channel—would receive 100% of the credit for the sale.
Linear model  In the Linear attribution model, each touchpoint in the conversion path—in this case the Paid Search, Social Network, Email, and Direct channels—would share equal credit (25% each) for the sale.
Time Decay model  In the touchpoints closest in time to the sale or conversion get most of the credit. In this particular sale, the Direct and Email channels would receive the most credit because the customer interacted with them within a few hours of conversion.
Position-based model  In the Position Based attribution model, 40% credit is assigned to each the first and last interaction, and the remaining 20% credit is distributed evenly to the middle interactions. In this example, the Paid Search and Direct channels would each receive 40% credit, while the Social Network and Email channels would each receive 10% credit.

 9. Google Analytics Important KPI

 
It indicates the overall website performance and helps to evaluate the optimization level. The most important factors that need to consider is that analyze Traffic, Sessions, New users vs returning users, and mostly bounce rate.

 10. What is CTR

 
It is a Click-through rate. It is the ratio evaluates based on how many clicks obtained versus the total impression. It should be high for good results.

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