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Marketing Analysis Test

The Marketing Analysis Test evaluates a candidate's knowledge in marketing analysis, digital marketing, Google Ads, PPC advertising, marketing aptitude, SEO assessment, Google Analytics, content strategy, copywriting, and data analysis. It assesses the candidate's understanding of marketing principles and their ability to analyze market trends and consumer behavior.

Covered skills:

  • Marketing Analysis
  • Digital Marketing
  • Google Ads
  • PPC Advertising
  • Marketing Aptitude
  • SEO Assessment
  • Google Analytics
  • Content Strategy
  • Copywriting
  • Data Analysis
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About the Marketing Analysis Assessment Test


The Marketing Analysis 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 marketing data and draw actionable insights
  • Proficiency in data analysis techniques and tools
  • Knowledge of digital marketing strategies and best practices
  • Experience in Google Ads and PPC advertising
  • Understanding of marketing aptitude and consumer behavior
  • Familiarity with SEO assessment and optimization
  • Competence in using Google Analytics for marketing analysis
  • Capability to develop effective content strategies
  • Strong copywriting skills to create engaging marketing materials

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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 Marketing Analysis Test will be non-googleable.

🧐 Question

Medium

Digital Channels for Subscriptions
Digital Marketing
Conversion Rate Optimization
Data Analysis
Solve
You are tasked with evaluating the performance of a digital marketing campaign designed to promote a new financial planning app targeting young professionals. The campaign utilized a mix of digital channels with the primary objectives being to increase app downloads and convert users into premium subscribers. Following the campaign's first quarter, you've compiled the following performance data:

- Total ad spend: $50,000
- Total impressions: 500,000 across all channels
- Total clicks: 25,000 across all channels
- Total app downloads: 5,000
- Total premium subscription sign-ups: 425
- The marketing is split into Email marketing, Social Media ads and Google AdWords.
- The campaign utilized three digital channels: social media ads, Google AdWords, and email marketing. Of these Social media ads contributed to 2,500 downloads with 125 premium subscriptions. Google AdWords contributed to 1,500 downloads with 150 subscriptions. The rest of the downloads and subscriptions came from Email Marketing.

Given this campaign performance data, which digital channel proved most effective for achieving the primary goal of converting users into premium subscribers and should be prioritized in future campaigns?
A: Social media ads, due to their largest contribution to app downloads.
B: Google AdWords, for its balanced performance in both generating downloads and converting subscriptions.
C: Email marketing, because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement.
D: Google AdWords because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement.
E: Social Media ads because of its highest conversion rate to premium subscriptions, indicating better targeting and engagement.

Medium

Email Marketing Campaign Analysis
Conversion Rates
A/B Testing
Data Analysis
Performance Optimization
Solve
You are analyzing the results of an A/B testing campaign for a newly launched line of eco-friendly activewear. The goal was to determine which of two email marketing strategies resulted in higher engagement and sales. Strategy A focused on discount offers, while Strategy B emphasized the eco-friendly attributes of the clothing line. The campaign ran for one month, targeting a segmented list of 50,000 subscribers, split evenly between the two strategies. The following data was collected:

- Strategy A (Discount Offers):
    - Emails sent: 25,000
    - Open rate: 22%
    - Click-through rate (CTR): 5%
    - Conversion rate: 0.5%
    - Unsubscribe rate: 2%
- Strategy B (Eco-Friendly Attributes):
    - Emails sent: 25,000
    - Open rate: 18%
    - Click-through rate (CTR): 4%
    - Conversion rate: 1%
    - Unsubscribe rate: 1.5%

Based on the data, which strategy should be prioritized for future email marketing campaigns to maximize sales and engagement, considering both effectiveness and audience retention?
A: Strategy A should be prioritized due to its higher open and click-through rates, indicating better initial engagement.
B: Strategy B should be prioritized because of its higher conversion rate, despite lower open and click-through rates, suggesting stronger sales impact.
C: Strategy A should be optimized for a lower unsubscribe rate before it can be considered for future campaigns.
D: Strategy B's lower unsubscribe rate indicates better audience retention and should be the focus, despite lower engagement metrics.

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. 
 image
 image
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
Correlation
Association
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

Digital Channels for Subscriptions
Digital Marketing
Conversion Rate Optimization
Data Analysis

3 mins

Marketing Analysis
Solve

Medium

Email Marketing Campaign Analysis
Conversion Rates
A/B Testing
Data Analysis
Performance Optimization

2 mins

Marketing Analysis
Solve

Medium

Hiring Developer
Skewed Data
Graph

3 mins

Data Analysis
Solve

Medium

Negative correlation
Correlation
Association

2 mins

Data Analysis
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Digital Channels for Subscriptions
Digital Marketing
Conversion Rate Optimization
Data Analysis
Marketing Analysis
Medium3 mins
Solve
Email Marketing Campaign Analysis
Conversion Rates
A/B Testing
Data Analysis
Performance Optimization
Marketing Analysis
Medium2 mins
Solve
Hiring Developer
Skewed Data
Graph
Data Analysis
Medium3 mins
Solve
Negative correlation
Correlation
Association
Data Analysis
Medium2 mins
Solve
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Amit Kataria, CHRO, Hanu

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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

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Why you should use Pre-employment Marketing Analysis Test?

The Marketing Analysis 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:

  • Ability to analyze marketing data
  • Proficiency in data analysis techniques
  • Understanding of digital marketing strategies
  • Knowledge of Google Ads campaign management
  • Familiarity with PPC advertising platforms
  • Marketing aptitude and understanding of customer behavior
  • Ability to perform SEO assessment and optimization
  • Proficiency in Google Analytics for marketing analysis
  • Understanding of content strategy and creation
  • Copywriting skills for effective marketing communication

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 Marketing Analysis Test?

Marketing Analysis: Marketing analysis is the practice of evaluating market trends, customer behavior, and competitor strategies to inform marketing decisions. It involves collecting and analyzing data to identify opportunities and challenges in the market, and to develop effective marketing strategies. Measuring this skill in the test ensures that candidates have a solid understanding of the fundamental principles of marketing analysis.

Digital Marketing: Digital marketing refers to marketing efforts that use digital channels, such as websites, social media, and email, to promote products or services. It involves creating and implementing online marketing strategies to reach and engage target audiences. Assessing this skill helps gauge a candidate's knowledge of digital marketing techniques and their ability to utilize various digital channels effectively.

Google Ads: Google Ads is an online advertising platform provided by Google, allowing businesses to display ads on search engine result pages, websites, videos, and mobile apps. Evaluating candidates' knowledge of Google Ads ensures they have the skills to create and manage successful pay-per-click advertising campaigns, maximizing ROI for businesses.

PPC Advertising: PPC (Pay-Per-Click) advertising is a form of online advertising where businesses pay each time a user clicks on their ad. It enables businesses to drive targeted traffic to their website and generate leads or sales. Measuring this skill in the test assesses candidates' understanding of PPC advertising principles and their ability to optimize campaigns for optimal results.

Marketing Aptitude: Marketing aptitude refers to the innate ability to understand and grasp marketing concepts, strategies, and techniques. It involves having a natural inclination and aptitude towards marketing, which can be further developed through training and experience. Evaluating this skill helps identify candidates who have a strong foundation in marketing and can adapt to new marketing challenges and opportunities.

SEO Assessment: SEO (Search Engine Optimization) assessment involves analyzing and optimizing websites to improve their visibility in search engine results. It requires understanding and implementing various on-page and off-page SEO techniques to drive organic traffic to a website. Measuring this skill in the test ensures candidates possess the necessary knowledge and skills to effectively optimize websites for search engines.

Google Analytics: Google Analytics is a web analytics tool that provides insights into website traffic and user behavior. It tracks and measures various metrics, such as website visits, conversion rates, and user demographics. Assessing candidates' knowledge of Google Analytics helps determine their ability to analyze data, generate meaningful insights, and make data-driven marketing decisions.

Content Strategy: Content strategy involves creating and planning the creation, delivery, and management of content to achieve specific marketing goals. It requires understanding target audience preferences, content formats, and distribution channels. Evaluating this skill helps identify candidates who can develop effective content strategies, manage content creation processes, and align content with marketing objectives.

Copywriting: Copywriting is the art and science of writing persuasive and attention-grabbing copy to promote products or services. It involves understanding target audience psychology, crafting compelling messages, and utilizing persuasive language techniques. Measuring this skill in the test helps assess candidates' ability to write effective marketing copy that drives engagement, conversions, and brand awareness.

Data Analysis: Data analysis involves examining and interpreting data to uncover insights, trends, and patterns that can inform business decisions. It requires proficiency in using data analysis tools and statistical methods to draw meaningful conclusions. Assessing this skill helps identify candidates who can effectively analyze marketing data, generate actionable insights, and make informed marketing decisions.

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 Marketing Analysis Test to be based on.

Market segmentation
SWOT analysis
Competitor analysis
Marketing research
Customer segmentation
Target audience identification
Marketing mix
Customer journey mapping
Conversion rate optimization
Data visualization
Statistical analysis
Data mining
Social media marketing
Email marketing
Search engine optimization
Pay-per-click advertising
Content marketing
Influencer marketing
Brand positioning
Marketing campaign planning
Consumer behavior
Marketing analytics
Conversion tracking
A/B testing
Mobile marketing
Video marketing
Content strategy
Keyword research
Google Analytics metrics
Behavior flow analysis
Conversion funnel analysis
User acquisition
User engagement
Customer retention
Copywriting techniques
Marketing copy editing
Sales funnel optimization
Marketing ROI calculation
Marketing budget allocation
Marketing performance measurement
Data-driven decision-making
Marketing attribution modeling
Marketing segmentation variables
Digital advertising platforms
Campaign optimization
Marketing automation
Marketing ethics
Targeting and positioning
Brand management
Marketing channels
CRM (Customer Relationship Management)
Landing page optimization
Marketing metrics and KPIs
Market research methodologies
Market trends analysis
Marketing project management
Marketing technology tools

What roles can I use the Marketing Analysis Test for?

  • Marketing Analyst
  • Digital Marketer
  • PPC Specialist
  • SEO Specialist
  • Marketing Manager

How is the Marketing Analysis 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

  • Ability to analyze and interpret data for insights
  • Proficiency in developing marketing plans
  • Knowledge of social media marketing strategies
  • Experience with email marketing campaigns
  • Ability to conduct market research
  • Understanding of consumer behavior analysis
  • Knowledge of marketing automation tools
  • Experience with A/B testing for marketing optimization
  • Ability to create and manage Google Ads campaigns
  • Proficiency in conducting competitor analysis

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Non-googleable Questions

Web Proctoring

IP Proctoring

Webcam Proctoring

MCQ Questions

Coding Questions

Typing Questions

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 Marketing Analysis Hiring Test?

What is the Marketing Analysis Test?

The Marketing Analysis Test evaluates a candidate's ability to analyze, interpret, and leverage marketing data. It is used by recruiters and organizations to identify candidates with strong marketing analysis skills, especially for roles that require data-driven marketing insights.

Can I combine the Marketing Analysis Test with the Digital Marketing Test?

Yes, you can request a custom test that includes both marketing analysis and digital marketing skills. For more details, check out our Digital Marketing Test.

What topics are evaluated in the Marketing Analysis Test?

The test covers various topics including data analysis, marketing analysis, digital marketing, and Google Ads. It assesses both foundational knowledge and practical application skills in a marketing context.

How to use the Marketing Analysis Test in my hiring process?

Use our assessment as a pre-screening tool at the start of your recruitment process. Add a link to the test in your job post or invite candidates directly via email.

Can I test Marketing Analysis and PPC Advertising together in a test?

Yes, you can combine both Marketing Analysis and PPC Advertising in a single custom test. This is recommended for roles that require comprehensive marketing skills. For more information, visit our PPC Advertising Test.

What are the main marketing skills tests?
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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