{"id":2499,"date":"2020-11-17T16:54:40","date_gmt":"2020-11-17T16:54:40","guid":{"rendered":"https:\/\/www.w3webschool.com\/blog\/?p=2499"},"modified":"2020-11-17T17:27:14","modified_gmt":"2020-11-17T17:27:14","slug":"top-10-google-analytics-interview-questions-answers-2020","status":"publish","type":"post","link":"https:\/\/www.w3webschool.com\/blog\/top-10-google-analytics-interview-questions-answers-2020\/","title":{"rendered":"Top 10 Google Analytics Interview Questions & Answers 2020"},"content":{"rendered":"
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1. How Real-Time Report in Google Analytics Help in Strategy Building?<\/h3>\n<\/div>\n
<\/div>\n
ANS<\/span><\/b>\u00a0– Google analytics very noticeable feature is real-time reports.\u00a0 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.<\/div>\n
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\u00a02. Reason for high Bounce Rate?<\/h3>\n<\/div>\n
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ANS-\u00a0<\/span>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.<\/div>\n
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  • Website having high page loading time<\/li>\n
  • \u00a0Too Much Error Pages<\/li>\n
  • \u00a0Mising Appropriate Content<\/li>\n
  • \u00a0 Responsive Issues<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/blockquote>\n
    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.<\/div>\n
    <\/div>\n
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    \u00a03. Types of Goals in Analytics and Application<\/h3>\n<\/div>\n
    \u00a0<\/b><\/div>\n
    ANS –\u00a0<\/span><\/b>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.<\/div>\n
    <\/div>\n
    <\/div>\n
    \n\n\n\n\n\n\n\n
    \u00a0<\/span>
    \nGoal Type<\/span><\/b><\/b><\/td>\n    		\u00a0Description<\/b><\/span><\/td>\n\u00a0Example<\/span><\/b><\/td>\n<\/tr>\n
    \u00a0Destination<\/b><\/td>\n\u00a0A specific location loads<\/td>\n\u00a0Thank you for Registering! Web page
    \nor App Screen<\/td>\n<\/tr>\n
    \u00a0Duration<\/b><\/td>\n\u00a0Sessions that lasts a specific
    \namount of time or longer<\/td>\n    		10min or Longer Spent on a Site<\/td>\n<\/tr>\n
    \u00a0Pages\/Screens per session <\/b><\/td>\n\u00a0A user views a specific number
    \nof pages or screens<\/td>\n    		\u00a05 Pages or Screen have been Loaded<\/td>\n<\/tr>\n
    \u00a0Event<\/b><\/td>\n\u00a0An action defined as
    \nan Event is triggered<\/td>\n    		\u00a0Social Recommendation, Video Play,
    \nAd Click<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    <\/div>\n<\/div>\n
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    \u00a04. Explain Dimension & Metric in Analytics<\/h3>\n<\/div>\n
    <\/div>\n
    ANS –\u00a0<\/span>These are the building blocks of google analytics report.\u00a0Every report in Analytics is made up of dimensions and metrics.<\/div>\n
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    <\/div>\n
    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.<\/div>\n
    <\/div>\n
    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.<\/div>\n
    <\/div>\n
    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).<\/div>\n
    <\/div>\n
    \n\n\n\n\n\n\n
    \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 DIMENSION\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 <\/b><\/td>\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 METRIC\u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/b><\/td>\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0METRIC\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/b><\/td>\n<\/tr>\n
    \u00a0Device<\/span><\/td>\n\u00a0Sessions<\/span><\/td>\n\u00a0Page\/Session<\/span><\/td>\n<\/tr>\n
    \u00a0Desktop<\/td>\n\u00a05000<\/td>\n\u00a03.74<\/td>\n<\/tr>\n
    \u00a0Mobile<\/td>\n\u00a04000<\/td>\n\u00a05.74<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    <\/div>\n<\/div>\n<\/div>\n
    <\/div>\n
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    \u00a05. What are the main Sources that Analytics Tracks?<\/h3>\n<\/div>\n
    <\/div>\n
    ANS –\u00a0Source is the origin of site traffic, such as a search engine (for example, google) or a domain (example.com).<\/div>\n
    <\/div>\n
    In common every referral to a website has an origin or source. popular sources include: \u201cgoogle\u201d (search engine), \u201cfacebook.com\u201d ( referring site), \u201cspring_newsletter\u201d (newsletters), and \u201cdirect\u201d (users directly typed site URL into a browser, or who had bookmarked site).<\/div>\n
    <\/div>\n
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    \u00a06. What is the Benefit of Google Analytics Remarketing<\/h3>\n<\/div>\n
    <\/div>\n
    ANS –\u00a0Remarketing audiences in Analytics is for re-engage audiences that are likely to convert or already visited customers.\u00a0A 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.<\/div>\n
    <\/div>\n
    <\/div>\n
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    \u00a07. What happens for tracking a user clears his browser cookies<\/h3>\n<\/div>\n
    \u00a0<\/b><\/div>\n
    ANS –\u00a0\u00a0Google 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.<\/div>\n
    <\/div>\n
    <\/div>\n
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    \u00a08. What is Attribution Modeling in Google Analytics<\/h3>\n<\/div>\n
    <\/div>\n
    ANS –\u00a0Attribution 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.<\/div>\n
    <\/div>\n
    \u00a0For 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.<\/div>\n
    <\/div>\n
    Aa a customer finds your site by clicking one of\u00a0 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.<\/div>\n
    <\/div>\n
    \n
    Last Interaction model\u00a0<\/i><\/b>\u00a0In the last touchpoint\u2014in this case, the Direct channel\u2014would receive 100% of the credit for the sale.<\/div>\n
    <\/div>\n
    Last Non-Direct and last<\/i><\/b>\u00a0AdWords 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\u2014in this case, the Email channel.<\/div>\n
    <\/div>\n
    Last Non-Direct and last<\/i><\/b>\u00a0AdWords Click In the Last Google Ads Click attribution model, the last Google Ads click\u2014in this case, the first and only click to the Paid Search channel \u2014would receive 100% of the credit for the sale.<\/div>\n
    <\/div>\n
    First Interaction model<\/i><\/b>\u00a0 In the First Interaction attribution model, the first touchpoint\u2014in this case, the Paid Search channel\u2014would receive 100% of the credit for the sale.<\/div>\n
    <\/div>\n
    Linear model\u00a0\u00a0<\/i><\/b>In the Linear attribution model, each touchpoint in the conversion path\u2014in this case the Paid Search, Social Network, Email, and Direct channels\u2014would share equal credit (25% each) for the sale.<\/div>\n
    <\/div>\n
    Time Decay model\u00a0<\/i><\/b>\u00a0In 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.<\/div>\n
    <\/div>\n
    Position-based model<\/i><\/b>\u00a0 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.<\/div>\n<\/div>\n
    <\/div>\n
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    \u00a09. Google Analytics Important KPI<\/h3>\n<\/div>\n
    \u00a0<\/b><\/div>\n
    It indicates the overall website performance and helps to evaluate the optimization level. The most important factors that need to consider is that analyze\u00a0Traffic, Sessions, New users vs returning users,<\/b>\u00a0and mostly\u00a0bounce rate<\/b>.<\/div>\n
    <\/div>\n
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    \u00a010. What is CTR<\/h3>\n<\/div>\n
    \u00a0<\/b><\/div>\n
    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.<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    1. How Real-Time Report in Google Analytics Help in Strategy Building? ANS\u00a0– Google analytics very noticeable feature is real-time reports.\u00a0 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 … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1316,1315,1313,1314],"class_list":["post-2499","post","type-post","status-publish","format-standard","hentry","category-seo","tag-advanced-google-analytics-questions-and-answers","tag-analytics-interview-questions-answers","tag-google-analytics-interview-questions-answers","tag-google-analytics-interview-questions-answers-2020"],"_links":{"self":[{"href":"https:\/\/www.w3webschool.com\/blog\/wp-json\/wp\/v2\/posts\/2499"}],"collection":[{"href":"https:\/\/www.w3webschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.w3webschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.w3webschool.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.w3webschool.com\/blog\/wp-json\/wp\/v2\/comments?post=2499"}],"version-history":[{"count":0,"href":"https:\/\/www.w3webschool.com\/blog\/wp-json\/wp\/v2\/posts\/2499\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.w3webschool.com\/blog\/wp-json\/wp\/v2\/media?parent=2499"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.w3webschool.com\/blog\/wp-json\/wp\/v2\/categories?post=2499"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.w3webschool.com\/blog\/wp-json\/wp\/v2\/tags?post=2499"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}