Why you should use Google Analytics Test?

The Google Analytics Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects: Understanding and implementing Google Analytics Basics Setting up Google Analytics for a website 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 with Google Analytics Using Google Analytics for marketing campaigns Applying advanced analytics techniques in Google Analytics Utilizing the Google Analytics API

Google Analytics Test

Q: What topics are covered in the Google Analytics Test?

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

About the 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.

Covered skills:

Google Analytics Basics
Creating and customizing reports
Analyzing user behavior
Implementing e-commerce tracking
Advanced analytics techniques
Google Tag Manager integration

Setting up Google Analytics
Tracking website traffic
Setting up goals and conversions
Using Google Analytics for marketing campaigns
Google Analytics API

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9 reasons why

Adaface Google Analytics Assessment Test is the most accurate way to shortlist Google Analytics Consultants

Reason #1

Tests for on-the-job skills

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

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 10,000+ questions. The actual questions on this Google Analytics Test will be non-googleable.

🧐 Question
Medium Analyzing Website Traffic Data Data Analysis	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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	Try practice test
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

Reason #4

1200+ customers in 75 countries

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Google Analytics Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Google Analytics Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

View sample scorecard

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

Learn more

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About the Google Analytics Online Test

Why you should use Pre-employment Google Analytics Test?

The Google Analytics Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Understanding and implementing Google Analytics Basics
Setting up Google Analytics for a website
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 with Google Analytics
Using Google Analytics for marketing campaigns
Applying advanced analytics techniques in Google Analytics
Utilizing the Google Analytics API

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Google Analytics Test?

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.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Google Analytics Test to be based on.
Google Analytics Architecture
Understanding tracking code
Google Analytics user interface
Filters and segments
Event tracking
Goal setup
Custom dimensions and metrics
Custom reports and dashboards
Site search tracking
Campaign tracking
Referral traffic analysis
User flow analysis
Bounce rate analysis
Conversion rate optimization
Funnel analysis
E-commerce tracking setup
Enhanced E-commerce reporting
Cross-domain tracking
Social media tracking
Mobile app tracking
Remarketing
A/B testing with Google Optimize
Attribution modeling
User ID tracking
JavaScript tracking
Regular expressions in Google Analytics
Google Analytics data import
Data sampling issues
Debugging and troubleshooting
Google Analytics API basics
Customizing Google Analytics dashboards
Google Analytics reporting API
Google Tag Manager setup
Tag firing rules
Trigger types in Google Tag Manager
Tag templates and variables in Google Tag Manager
Configuring e-commerce tracking in Google Tag Manager
Google Analytics events with Google Tag Manager
Tracking social media with Google Tag Manager
Google Analytics triggers and tags
Built-in variables in Google Tag Manager
Environments in Google Tag Manager
Publishing and version control in Google Tag Manager
Cross-domain tracking with Google Tag Manager
Using Google Tag Manager for AMP pages
Implementing Google Optimize with Google Tag Manager
Setting up Google Analytics for mobile apps
App tracking in Google Analytics
Firebase Analytics integration
Google Analytics real-time reports
Customizing and automating Google Analytics reports

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What roles can I use the Google Analytics Test for?

Google Analytics Consultant
Google Analytics Expert
Digital Analytics Role
Web Analytics Manager
Lead - Google Analytics
SEO Content Writer(Google Analytics)
SEO Specialist - Google Analytics/Web Analytics

How is the Google Analytics Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Integrating Google Tag Manager with Google Analytics
Applying Google Analytics to measure website engagement
Tracking and analyzing social media traffic
Implementing advanced segmentation and filtering
Utilizing event tracking and virtual pageviews
Monitoring and improving website performance
Generating and interpreting custom reports
Leveraging Google Analytics to optimize conversion rates
Implementing cross-domain tracking
Utilizing Google Analytics for mobile app tracking and measurement

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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

85%

reduction in screening time

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Google Analytics Hiring Test FAQs

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

Non-googleable questions
IP proctoring
Screen proctoring
Web proctoring
Webcam proctoring
Plagiarism detection
Secure browser
Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.