Why you should use Ecommerce Analytics Test?

The Ecommerce 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 of Ecommerce Analytics principles Ability to analyze and interpret data from Ecommerce Analytics tools Knowledge of Google Analytics and its features Proficiency in Digital Marketing strategies and concepts Expertise in data analysis techniques for Ecommerce Analytics Understanding of key performance indicators (KPIs) in Ecommerce Analytics Familiarity with A/B testing methodologies for Ecommerce Analytics Ability to generate actionable insights from Ecommerce Analytics data Experience in conducting conversion rate optimization (CRO) analysis Knowledge of advanced Ecommerce Analytics tools and platforms

Ecommerce Analytics Test

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

Ecommerce Analytics Google Analytics Digital Marketing Data Analysis

About the test:

The Ecommerce Analytics Test evaluates a candidate's knowledge and skills in ecommerce analytics, data analysis and business intelligence. It assesses a candidate's ability to analyze ecommerce data and optimize marketing strategies. The test includes scenario-based multiple-choice questions.

Covered skills:

Ecommerce Analytics
Digital Marketing

Google Analytics
Data Analysis

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9 reasons why

Adaface Ecommerce Analytics Assessment Test is the most accurate way to shortlist Ecommerce Analysts

Reason #1

Tests for on-the-job skills

The Ecommerce 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:

Ability to analyze ecommerce data and derive insights
Knowledge of Google Analytics and its applications in ecommerce
Understanding of digital marketing strategies and its impact on ecommerce
Proficiency in data analysis techniques and tools
Ability to measure and optimize key performance indicators (KPIs) for ecommerce
Experience in implementing and tracking ecommerce goals and funnels
Familiarity with A/B testing methodologies for ecommerce
Strong problem-solving skills with the ability to troubleshoot ecommerce analytics issues

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 Ecommerce Analytics Test will be non-googleable.

🧐 Question
Medium Hiring Developer Skewed Data Graph	Solve
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
Medium Negative correlation	Solve
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill
	Medium Hiring Developer Skewed Data Graph	3 mins Data Analysis	Solve
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Medium Negative correlation	2 mins Data Analysis	Solve
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Hiring Developer Skewed Data Graph	Data Analysis	Medium	3 mins	Solve
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Negative correlation	Data Analysis	Medium	2 mins	Solve
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

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 Ecommerce 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 Ecommerce 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

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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 Ecommerce Analytics Online Test

Why you should use Pre-employment Ecommerce Analytics Test?

The Ecommerce 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 of Ecommerce Analytics principles
Ability to analyze and interpret data from Ecommerce Analytics tools
Knowledge of Google Analytics and its features
Proficiency in Digital Marketing strategies and concepts
Expertise in data analysis techniques for Ecommerce Analytics
Understanding of key performance indicators (KPIs) in Ecommerce Analytics
Familiarity with A/B testing methodologies for Ecommerce Analytics
Ability to generate actionable insights from Ecommerce Analytics data
Experience in conducting conversion rate optimization (CRO) analysis
Knowledge of advanced Ecommerce Analytics tools and platforms

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 Ecommerce Analytics Test?

Ecommerce Analytics
Ecommerce Analytics involves the collection, interpretation, and utilization of data to optimize online business performance. It includes tracking and analyzing website traffic, customer behaviors, conversion rates, and other key metrics to drive e-commerce growth.
Google Analytics
Google Analytics is a web analytics tool provided by Google that allows users to track website traffic and analyze user behavior. It provides valuable insights into website performance, audience demographics, user acquisition, and other metrics, helping businesses make data-driven decisions to improve their online presence.
Digital Marketing
Digital Marketing involves using digital channels such as search engines, social media, email, and websites to promote products or services. It encompasses various strategies like search engine optimization (SEO), content marketing, social media marketing, and paid advertising to reach and engage target audiences, generate leads, and drive conversions.
Data Analysis
Data Analysis is the process of inspecting, cleaning, transforming, and modeling data to uncover useful information and insights. It involves applying statistical techniques, data visualization, and data mining methods to explore patterns, correlations, and trends in data. Analyzing data allows businesses to make informed decisions, optimize performance, and identify opportunities for growth.
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 Ecommerce Analytics Test to be based on.
Ecommerce performance metrics
Conversion rate optimization
Customer segmentation
Online advertising campaigns
Ecommerce tracking implementation
Product category analysis
User behavior analysis
Cart abandonment analysis
Landing page optimization
Mobile ecommerce trends
Social media marketing for ecommerce
Cross-selling and upselling strategies
Ecommerce analytics reporting
Google Analytics goals and funnels
Ecommerce data visualization
Performance measurement frameworks
Ecommerce SEO techniques
Google Tag Manager for ecommerce
Customer lifetime value analysis
Email marketing analytics for ecommerce
Customer journey mapping
Customer retention strategies
Ecommerce data cleansing
Ecommerce data modeling
Attribution modeling in ecommerce
Competitor analysis for ecommerce
Ecommerce data warehousing
Personalization in ecommerce
Predictive analytics for ecommerce
RFM analysis in ecommerce
Segmentation analysis in ecommerce
Website usability analysis
Funnel optimization
Sales metrics analysis
Ecommerce data governance
Ecommerce data visualization tools
Customer satisfaction analysis
Effective keyword research for ecommerce
Ecommerce market research
Customer reviews analysis
Ecommerce data security
Ecommerce data privacy
Email campaign analysis for ecommerce
Ecommerce pricing optimization
User experience analysis
Seasonal trends analysis in ecommerce
Data-driven decision making in ecommerce
Website load speed optimization
Customer feedback analysis
Ecommerce performance benchmarking
Multichannel attribution in ecommerce
Web analytics for ecommerce
Ecommerce data integration
CRM analytics for ecommerce
Ecommerce fraud detection

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What roles can I use the Ecommerce Analytics Test for?

Ecommerce Analyst
Marketing Analyst
Data Analyst
Business Intelligence Analyst
Data Scientist
Machine Learning Engineer
Database Administrator

How is the Ecommerce 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

In-depth understanding of Google Analytics tracking and tagging
Expertise in segmenting and targeting audiences in Ecommerce Analytics
Ability to create and manage Ecommerce Analytics dashboards
Proficiency in conducting funnel analysis for Ecommerce Analytics
Understanding of customer journey mapping in Ecommerce Analytics
Knowledge of attribution models and multi-channel analysis
Experience in integrating Ecommerce Analytics data with other systems
Ability to perform cohort analysis in Ecommerce Analytics
Expertise in predictive modeling and forecasting for Ecommerce Analytics
Understanding of data visualization techniques for Ecommerce Analytics

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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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Ecommerce 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.