Google Analytics Test

The Google Analytics pre-employment test assesses a candidate's ability to use Google Analytics platform to make data-driven decisions for your business. It tests their ability to setup website tracking, analyze website traffic, understand audience demographics and drive more targeted traffic to generate more leads.

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Screen candidates with a 30 mins test

Test duration: ~ 30 mins

Difficulty level: Moderate

Availability: Available as custom test

Questions:

15 Google Analytics MCQs

Covered skills:

Google Analytics Basics

Setting up Google Analytics

Creating and customizing reports

Tracking website traffic

Analyzing user behavior

Setting up goals and conversions

Implementing e-commerce tracking

Using Google Analytics for marketing campaigns

Advanced analytics techniques

Google Analytics API

Google Tag Manager integration

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Use the Google Analytics Assessment Test to shortlist qualified candidates

The Google Analytics Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Understanding the basics of Google Analytics
Setting up and configuring Google Analytics
Creating and customizing reports in Google Analytics
Tracking website traffic using Google Analytics
Analyzing user behavior through Google Analytics
Setting up goals and conversions in Google Analytics
Implementing e-commerce tracking in Google Analytics
Using Google Analytics for marketing campaigns
Applying advanced analytics techniques in Google Analytics
Utilizing the Google Analytics API
Integrating Google Tag Manager with Google Analytics

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These are just a small sample from our library of 15,000+ questions. The actual questions on this Google Analytics Test will be non-googleable.

🧐 Question
Medium Analyzing Website Traffic Data Data Analysis	Solve
You are analyzing website traffic data for your e-commerce platform from the last quarter using Google Analytics. The table below summarizes the traffic sources and their respective metrics: Based on the data above, you are tasked with calculating the E-commerce Conversion Rate (ECR) for each traffic source and identifying which traffic source has the highest Revenue per Session (RPS). E-commerce Conversion Rate is calculated as (Transactions / Sessions) * 100, and Revenue per Session is calculated as Revenue / Sessions. Which traffic source has the highest Revenue per Session, and what is the E-commerce Conversion Rate for that source?
Medium Internal users traffic	Solve
Jon, who is our marketing manager realized that a significant chunk of the website traffic is coming from internal users, and skewing customer data. What do you recommend to clean the report data?
Medium Segment Analysis Data Segmentation User Behavior Analysis Conversion Tracking	Solve
You are analyzing your company's e-commerce website data through Google Analytics to understand the behavior of users who completed a purchase versus those who added products to the cart but did not complete the purchase. You decide to create two advanced segments: "Completed Purchase" for users who reached the thank-you page (indicating a completed purchase) and "Abandoned Cart" for users who added items to their cart but did not reach the thank-you page. Your goal is to compare the two segments to identify differences in behavior and improve the conversion rate. Considering the default page path levels in Google Analytics and assuming the URL structure for the cart page is "/cart" and for the thank-you page is "/thank-you", which of the following conditions will accurately create these segments? A: Completed Purchase: Conditions > Page > Exactly matches > /thank-you; Abandoned Cart: Conditions > Page > Exactly matches > /cart AND Conditions > Page > Does not exactly match > /thank-you B: Completed Purchase: Sessions > Include > Page > Contains > /thank-you; Abandoned Cart: Sessions > Exclude > Page > Contains > /thank-you AND Sessions > Include > Page > Contains > /cart C: Completed Purchase: Users > Include > Page > Exactly matches > /thank-you; Abandoned Cart: Users > Include > Page > Exactly matches > /cart AND Users > Exclude > Page > Exactly matches > /thank-you D: Completed Purchase: Conditions > Page > Contains > /thank-you; Abandoned Cart: Conditions > Page > Contains > /cart AND Conditions > Page > Does not contain > /thank-you E: Completed Purchase: Filter > Page Path Level 1 > Exactly matches > /thank-you; Abandoned Cart: Filter > Page Path Level 1 > Exactly matches > /cart AND Filter > Page Path Level 2 > Does not exactly match > /thank-you F: Completed Purchase: Sessions > Include > Page Path Level 1 > Contains > /thank-you; Abandoned Cart: Sessions > Exclude > Page Path Level 1 > Contains > /thank-you AND Sessions > Include > Page Path Level 1 > Contains > /cart

	🧐 Question	🔧 Skill
	Medium Analyzing Website Traffic Data Data Analysis	3 mins Google Analytics	Solve
You are analyzing website traffic data for your e-commerce platform from the last quarter using Google Analytics. The table below summarizes the traffic sources and their respective metrics: Based on the data above, you are tasked with calculating the E-commerce Conversion Rate (ECR) for each traffic source and identifying which traffic source has the highest Revenue per Session (RPS). E-commerce Conversion Rate is calculated as (Transactions / Sessions) * 100, and Revenue per Session is calculated as Revenue / Sessions. Which traffic source has the highest Revenue per Session, and what is the E-commerce Conversion Rate for that source?
	Medium Internal users traffic	2 mins Google Analytics	Solve
Jon, who is our marketing manager realized that a significant chunk of the website traffic is coming from internal users, and skewing customer data. What do you recommend to clean the report data?
	Medium Segment Analysis Data Segmentation User Behavior Analysis Conversion Tracking	3 mins Google Analytics	Solve
You are analyzing your company's e-commerce website data through Google Analytics to understand the behavior of users who completed a purchase versus those who added products to the cart but did not complete the purchase. You decide to create two advanced segments: "Completed Purchase" for users who reached the thank-you page (indicating a completed purchase) and "Abandoned Cart" for users who added items to their cart but did not reach the thank-you page. Your goal is to compare the two segments to identify differences in behavior and improve the conversion rate. Considering the default page path levels in Google Analytics and assuming the URL structure for the cart page is "/cart" and for the thank-you page is "/thank-you", which of the following conditions will accurately create these segments? A: Completed Purchase: Conditions > Page > Exactly matches > /thank-you; Abandoned Cart: Conditions > Page > Exactly matches > /cart AND Conditions > Page > Does not exactly match > /thank-you B: Completed Purchase: Sessions > Include > Page > Contains > /thank-you; Abandoned Cart: Sessions > Exclude > Page > Contains > /thank-you AND Sessions > Include > Page > Contains > /cart C: Completed Purchase: Users > Include > Page > Exactly matches > /thank-you; Abandoned Cart: Users > Include > Page > Exactly matches > /cart AND Users > Exclude > Page > Exactly matches > /thank-you D: Completed Purchase: Conditions > Page > Contains > /thank-you; Abandoned Cart: Conditions > Page > Contains > /cart AND Conditions > Page > Does not contain > /thank-you E: Completed Purchase: Filter > Page Path Level 1 > Exactly matches > /thank-you; Abandoned Cart: Filter > Page Path Level 1 > Exactly matches > /cart AND Filter > Page Path Level 2 > Does not exactly match > /thank-you F: Completed Purchase: Sessions > Include > Page Path Level 1 > Contains > /thank-you; Abandoned Cart: Sessions > Exclude > Page Path Level 1 > Contains > /thank-you AND Sessions > Include > Page Path Level 1 > Contains > /cart

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Analyzing Website Traffic Data Data Analysis	Google Analytics	Medium	3 mins	Solve
You are analyzing website traffic data for your e-commerce platform from the last quarter using Google Analytics. The table below summarizes the traffic sources and their respective metrics: Based on the data above, you are tasked with calculating the E-commerce Conversion Rate (ECR) for each traffic source and identifying which traffic source has the highest Revenue per Session (RPS). E-commerce Conversion Rate is calculated as (Transactions / Sessions) * 100, and Revenue per Session is calculated as Revenue / Sessions. Which traffic source has the highest Revenue per Session, and what is the E-commerce Conversion Rate for that source?
	Internal users traffic	Google Analytics	Medium	2 mins	Solve
Jon, who is our marketing manager realized that a significant chunk of the website traffic is coming from internal users, and skewing customer data. What do you recommend to clean the report data?
	Segment Analysis Data Segmentation User Behavior Analysis Conversion Tracking	Google Analytics	Medium	3 mins	Solve
You are analyzing your company's e-commerce website data through Google Analytics to understand the behavior of users who completed a purchase versus those who added products to the cart but did not complete the purchase. You decide to create two advanced segments: "Completed Purchase" for users who reached the thank-you page (indicating a completed purchase) and "Abandoned Cart" for users who added items to their cart but did not reach the thank-you page. Your goal is to compare the two segments to identify differences in behavior and improve the conversion rate. Considering the default page path levels in Google Analytics and assuming the URL structure for the cart page is "/cart" and for the thank-you page is "/thank-you", which of the following conditions will accurately create these segments? A: Completed Purchase: Conditions > Page > Exactly matches > /thank-you; Abandoned Cart: Conditions > Page > Exactly matches > /cart AND Conditions > Page > Does not exactly match > /thank-you B: Completed Purchase: Sessions > Include > Page > Contains > /thank-you; Abandoned Cart: Sessions > Exclude > Page > Contains > /thank-you AND Sessions > Include > Page > Contains > /cart C: Completed Purchase: Users > Include > Page > Exactly matches > /thank-you; Abandoned Cart: Users > Include > Page > Exactly matches > /cart AND Users > Exclude > Page > Exactly matches > /thank-you D: Completed Purchase: Conditions > Page > Contains > /thank-you; Abandoned Cart: Conditions > Page > Contains > /cart AND Conditions > Page > Does not contain > /thank-you E: Completed Purchase: Filter > Page Path Level 1 > Exactly matches > /thank-you; Abandoned Cart: Filter > Page Path Level 1 > Exactly matches > /cart AND Filter > Page Path Level 2 > Does not exactly match > /thank-you F: Completed Purchase: Sessions > Include > Page Path Level 1 > Contains > /thank-you; Abandoned Cart: Sessions > Exclude > Page Path Level 1 > Contains > /thank-you AND Sessions > Include > Page Path Level 1 > Contains > /cart

Test candidates on core Google Analytics Hiring Test topics

Google Analytics Basics: This skill measures the understanding of fundamental concepts and terminology used in Google Analytics, such as pageviews, sessions, bounce rate, and conversion rate. It is important to assess this skill as it lays the foundation for effectively using Google Analytics to gather data and insights.

Setting up Google Analytics: This skill evaluates the ability to correctly set up a Google Analytics account, including creating a property, implementing tracking code, and verifying the installation. It is essential to measure this skill to ensure accuracy and reliability of data collection for analytics purposes.

Creating and customizing reports: Measuring this skill assesses the capability to generate custom reports in Google Analytics, including selecting desired metrics, dimensions, and filters. It is important to evaluate this skill as customized reports can provide tailored insights that are relevant to specific business goals or objectives.

Tracking website traffic: This skill encompasses the knowledge of tracking and analyzing website traffic using Google Analytics, including understanding traffic sources, referral paths, and user demographics. It is crucial to measure this skill as it helps in assessing the effectiveness of marketing efforts and understanding user engagement on a website.

Analyzing user behavior: Assessing this skill involves analyzing user behavior data in Google Analytics, such as session duration, page navigation, and user flow. This skill should be measured as it provides valuable insights into user preferences, interactions, and potential areas for improvement in website usability or content.

Setting up goals and conversions: This skill measures the ability to define and set goals in Google Analytics, including conversion tracking and goal funnels. It is important to assess this skill to accurately measure and evaluate the success of marketing campaigns or user interactions based on predefined objectives or conversions.

Implementing e-commerce tracking: Measuring this skill evaluates the knowledge of setting up e-commerce tracking in Google Analytics, including enhancing tracking for transactions, revenue, and product performance. It is essential to measure this skill for e-commerce businesses to gather data on sales, customer behavior, and revenue attribution.

Using Google Analytics for marketing campaigns: This skill assesses the ability to utilize Google Analytics data to evaluate the performance and effectiveness of marketing campaigns, including tracking campaign-specific metrics, analyzing conversions, and optimizing campaign strategies. It is important to evaluate this skill to make data-driven decisions and maximize the ROI of marketing efforts.

Advanced analytics techniques: Assessing this skill involves the understanding and application of advanced analytics techniques in Google Analytics, such as segmentation, custom dimensions, and event tracking. This skill should be measured to identify experts who can leverage advanced features for in-depth analysis and insights beyond basic reporting functionalities.

Google Analytics API: This skill measures the knowledge and ability to utilize the Google Analytics API to extract and manipulate analytics data programmatically for custom reporting or integration with other systems. It is important to assess this skill for individuals who need to automate data retrieval or perform complex analysis beyond the capabilities of the standard user interface.

Google Tag Manager integration: Measuring this skill evaluates the proficiency in integrating and managing Google Analytics tracking codes and other tags using Google Tag Manager. This skill is important as it allows for centralized tag management, streamlined implementation, and faster deployment of analytics and marketing tags without direct code modifications.

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