Google Analytics Test

Q: What are the main Analytics tests?

Our primary Analytics tests include: Google Analytics Test Ecommerce Analytics Test Marketing Analysis 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
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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About the Google Analytics Assessment Test

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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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 15,000+ questions. The actual questions on this Google Analytics Test will be non-googleable.

🧐 Question
Medium Analyzing Website Traffic Data Data Analysis Data Modeling Problem Solving	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 Google Analytics Configuration Data Filtering	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 Data Modeling Problem Solving	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 Google Analytics Configuration Data Filtering	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 Data Modeling Problem Solving	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 Configuration Data Filtering	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

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We evaluated several of their competitors and found Adaface to be the most compelling. Great library of questions that are designed to test for fit rather than memorization of algorithms.

Swayam Narain, CTO, Affable

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

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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MCQ Questions

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Personality Questions

Custom Questions

Ready-to-use Tests

Custom Tests

Custom Branding

Bulk Invites

Public Links

ATS Integrations

Multiple Question Sets

Custom API integrations

Role-based Access

Priority Support

GDPR Compliance

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Have questions about the Google Analytics Hiring Test?

What is Google Analytics Test?

The Google Analytics Test assesses a candidate's proficiency in using Google Analytics. Recruiters use this test to identify candidates with strong skills in analyzing website traffic, user behavior, and implementing advanced analytics techniques. It is helpful for roles involving digital marketing and website performance management.

Can I combine Google Analytics Test with Digital Marketing questions?

Yes, recruiters can request a custom test including both Google Analytics and Digital Marketing questions. For more information on how we assess Digital Marketing skills, please check the Digital Marketing Test.

What skills are evaluated in the Google Analytics Test?

The test covers a range of skills including Google Analytics basics, setting up analytics, customizing reports, tracking website traffic, analyzing user behavior, and using Google Tag Manager integration. For senior roles, it also evaluates skills like advanced segmentation, event tracking, and cross-domain tracking.

How to use Google Analytics Test in my hiring process?

Use the Google Analytics Test as a pre-screening tool during recruitment. Add the test link to your job posting or email invitations. Adaface helps find the best candidates quickly and reliably.

What are the main Analytics tests?

Our primary Analytics tests include:

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.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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Along with scorecards that report the performance of the candidate in detail, you also receive a comparative analysis against the company average and industry standards.

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