Top 28 Marketing Analytics Interview Questions

Most marketing analytics interview questions aim to assess:

1. Your past marketing experience and basic knowledge of the role and core marketing concepts.
2. Your technical and analytical mindset and skills.
3. Your ability to communicate, adapt, and overall behavioral culture fit.

Therefore, many marketing analytics interview questions are a combination of definition-based and scenario-based case study questions. These questions test your ability to apply your marketing and data analytics prowess towards a business goal, with the most common interview question categories being:

• Basic Marketing Questions
• SQL Questions
• Scenario-Based Case Study Questions
• Behavioral Questions

Basic marketing questions for Marketing Analysts qualify your baseline technical knowledge and problem-solving abilities. These questions aim to assess your understanding of the job role and if you have the essential skills to fulfill the position’s requirements.

1. How do you define the position of a “marketing analyst”?

The role of a marketing analyst is to act as an “analytics translator” and help companies make sense of their marketing data to drive impact. The insights they generate help companies determine which products to sell, how to optimize their marketing mix, and how to refine ad campaigns.

Want to learn more about the role of a marketing analyst, needed skills, how to become one, job outlook, and salary expectations? Check What is the role of a marketing analyst?

2. How do you use social media in marketing analytics?

Social media networks are rich repositories of Voice of Customer (VoC) data (verbatim customer feedback). Additionally, many brands—especially airlines—provide customer care via social media. Social media analytics reveals how users engage with content and includes qualitative data from forums, review sites, and social networks.

Brands use analytics to measure the following:

• User engagement – Likes, shares, views, comments
• User sentiment – Determining whether social conversations are positive or negative using natural language processing (NLP)

3. What is a KPI?

Marketing key performance indicators (KPIs) are numerical metrics that organizations monitor to gauge their progress towards a defined goal. Ultimately, KPIs measure the ROI of marketing initiatives, including paid ads, lead acquisition, and social media engagement.

Examples include:

• Customer acquisition cost – total sales and marketing spend needed to gain a new customer.
• Customer lifetime value – average revenue generated from a single customer for the duration of the relationship.
• Social media traffic – engagement metrics such as follower count, likes, comments, and shares.
• Website traffic – number of site visitors per period, landing page conversion rate, bounce rate, and time on site.
• Return on ad spends (ROAS) – revenue earned for every dollar spent on advertising.
• Sales per channel – sales generated from conversions on each marketing channel.
• Marketing qualified leads (MQL) – A lead who has engaged with a company’s marketing materials and transfers to the sales department for follow-up.

4. With Which analytical and reporting software tools do you have experience?

To answer this question, you could:

1. Discuss your experience with general reporting and data visualization tools such as Excel, Tableau, and SQL.
2. Explain the purpose of each tool and the results you’ve achieved in previous roles.
3. In discussing a domain-specific role such as web analytics, mention your experience with Google Analytics, HubSpot, and Google Ads.
4. For a social media analytics role, reference cross-channel social analytics tools like Sprout Social or BuzzSumo.

5. What steps would you take when analyzing our competitors?

A competitive analysis evaluates your competitor’s strengths, weaknesses, opportunities, and threats (SWOT). The outcome is a better understanding of the strength of your organization’s brand, marketing initiatives, and social media strategy relative to competitors. Use the STAR (Situation, Task, Action Response) method to tell a story about your findings, recommendations, and the outcome.

6. How do you validate your data to ensure the integrity of the results?

Data validation is a form of data cleansing to verify the accuracy and completeness of your data. Start with a small sample of the data before testing on a large dataset. One option is to write scripts in SQL to compare the data values and structures against your organization’s defined rules and ensure the information adheres to the required quality parameters. You can also use software applications like Talend or Datameer.

7. How have you used Google Analytics to solve a business problem?

Google Analytics is a rich data source for website analytics and advertising analytics. Within their analytics, you can investigate business problems like a high website bounce rate (which landing pages have the highest bounce rate?). You can also analyze low conversions (what are the hotspots on your landing pages? Is your call-to-action positioned within a hotspot?) or poor return on ad spend (which ad has the worst/best click-through rate?).

8. Classify the types of research based on the data required.

Based on the type of data required, we can classify the research into two broad categories:

• Qualitative research: Use this research when you want to gather insight into the views of the consumers towards products and services. To do this, you can form a focus group or conduct one-on-one interviews.
• Quantitative research: Use this research when numbers are more important to conclude. In this, the facts, figures, and statistics matter more. You might have to work with heaps of data.

9. Tell us about some research tools used in primary research. Explain each tool.

Primary research involves the following tools:

• Survey: This is one of the most common tools used in research. The survey involves several questions related to a particular product or service. The survey method could be on paper, online, or via phone call.
• Questionnaire: This is another rather widely used method of conducting primary research. It is just a set of questions that you put in front of your possible customers.
• Focus group: A focus group includes many people with similar interests, ages, hobbies, etc. Utilizing these groups, the researcher can analyze the likes and dislikes of consumers. You can also get feedback on a product, an idea for the product or service, etc.
• Observation: This is a straightforward method in which the researcher observes the consumers’ actions to understand their likes, dislikes, preferences, and behavior.

Marketing Analytics SQL questions test your ability to query databases, write scripts, and clean data. Common SQL questions include:

10. What is the difference between DROP, TRUNCATE, and DELETE statements?

• DROP- Delete existing database objects such as databases, table views, and triggers. DROP removes the entire schema/structure of the table from the database.
• TRUNCATE- Removes all the records from an existing table but not the table itself. Unlike DROP, TRUNCATE preserves the structure/schema of the table.
• DELETE -Removes one or more records in an existing table using specialized conditions in the WHERE clause of the DELETE statements.

11. How do you delete duplicate records from a table?

• Find duplicate rows using the GROUP BY clause or ROW NUMBER() function.
• Use the DELETE statement to remove the duplicate rows.

12. What are aggregate functions?

An aggregate function performs a calculation on a set of values and returns a single value. Aggregate functions are often used with the GROUP BY clause of the SELECT statement.

• COUNT counts how many rows are in a column
• SUM adds all the values in a column
• MIN and MAX return the lowest/highest values in a column.
• AVG calculates the average of a group of selected values.

13. What are the different types of relationships?

‘Relation’ describes the relationships between the tables in a relational database—meaning a table has a foreign key that references the primary key of one or more tables.

• One-to-one – one record in a table is associated with only one record in another table
• One-to-many – one record in a table is associated with several records in another table
• Many-to-many - records in a table are related to multiple records in another table.

14. Write a query to return data to support or disprove the hypothesis that CTR depends on search rating.

In this scenario, you have a table representing search results from Facebook searches. The query column is the search term; the position column represents each position the search result came in, and the rating column represents the human rating from 1 to 5, where 5 is high relevance and 1 is low relevance.

15. Given a table of product purchases, write a query to get the number of customers who upsold additional products.

Note: If the customer purchased two things on the same day, we do not count that as an upsell, as the customers purchased them within a similar timeframe.

Questions like this are common in Amazon SQL interviews.

Hint: An upsell is determined by multiple days by the same user. Therefore, we have to group by the date field and the user_id to get each transaction broken out by day and user.

SELECT 
    user_id
    , DATE(created_at) AS date
FROM transactions
GROUP BY 1,2

Now we have to filter for the users that purchased on multiple dates. How can we do this?

Evaluating what we know, we have an initial query that shows the purchases on each date. So effectively, we need to count the number of specific dates on which a user purchases

16 . Calculate the first-touch attribution for each user_id that converted.

The schema below is for a retail online shopping company consisting of two tables, attribution and user_sessions. Here are some details of the two tables:

• The attribution table logs a session visit for each row.
• If the conversion is true, the user converted to purchase on that session.
• The channel column represents which advertising platform the user was attributed to for that specific session.
• Lastly, the user_sessions table maps session visits back to one user, from a single visit up to serval on the same day.

How do we solve this one? First-touch attribution is the channel with which the converted user was associated when they first discovered the website. It is helpful to sketch out the attribution model for converting users:

• 1st Session: User sees Facebook ad -> Clicks to order -> Leaves
• 2nd Session: User sees Google ad -> Leaves
• 3rd Session: User types in website -> Clicks to order -> Purchases

How do we figure out the beginning path of the Facebook ad and connect it to the end-purchasing user?

We need to do two actions: 1) subset all the users that converted to customers 2) figure out their first session visit to attribute the actual channel. We can do that by creating a subquery that only gets the distinct users that have converted.

At their core, marketing case studies are scenario-based questions that ask you to present a well-constructed solution to a potential or real-world marketing problem. These questions allow you to apply your marketing expertise to a real case and use your problem-solving and analytical thinking skills to address it.

17. How would you measure the effectiveness of different marketing channels?

A version of this question is asked in nearly every marketing analyst interview. Your goal should be to define what “effective” means in this context and discuss the most critical metrics for measuring it.

You can, for example, talk about evaluation return on investment (ROI) by measuring unit economics like Cost Per Acquisition (CPA) and Customer Lifetime Value (CLV). Then break down these metrics per funnel and consider attribution while explaining the difference between single and multi-channel attribution. More detailed answer here.

18. How would you measure the success of acquiring new users through a 30-day free trial at Netflix, where customers will automatically be charged based on their selected package?

We can frame the concept specifically to this problem is to think about controllable inputs, external drivers, and observable output. Start with the primary goals of Netflix:

• Acquiring new users to their subscription plan.
• Decreasing churn and increasing retention.

When you look at acquisition output metrics specifically, there are several top-level stats that we can look at, including:

• Conversion rate percentage
• Cost per free trial acquisition
• Daily conversion rate

We would also want to bucket users by cohort with these conversion metrics. These metrics would help us see the percentage of free users acquired and retained by the cohort.

19. You work for a SAAS that provides leads to insurance agents and must determine whether delivering more leads to customers results in better retention.

Let’s assume that, for this question, the VP of Sales provides you a graph that shows agents in Month 3 receiving more than three times the number of leads than agents in Month 1 as proof. What might be flawed about the VP’s thinking?

Hint: The key is not to confuse the output metrics with the input metrics. In this case, while the question makes us think that more leads are the output metric, churn is the better-analyzed metric. If you break out customers in cohorts based on the number of monthly leads, we can see if churn goes down by cohort each month.

20. An e-commerce company has been experiencing a reduction in revenue for the past 12 months. What would you investigate to understand precisely where the revenue loss is occurring?

To investigate the revenue decline, you have access to such information as:

• Date of sale.
• Amount paid by customers.
• Profit margin per unit.
• Quantity of item.
• Item category.
• Item subcategory.
• Marketing attribution source.
• Percent discount applied.

Marketing analyst interviews get asked a question like this to determine if you can propose vital metrics to investigate a problem. You might start by analyzing monthly revenue by marketing source, category/subcategory, or the percent of the discount applied.

This analysis will help you understand if the decline is due to decreasing marketing efficiency, an overreliance on discounts, or if a particular category is declining. Another option would be to investigate changes in profit margin per unit, which could help identify if production costs are rising.

21. How would you design an A/B test to utilize the marketing budget in the most efficient way possible?

The new channels include Youtube Ads, Google search ads, Facebook ads, and direct mail campaigns. To start, you’d want to follow up with some clarifying questions and make some assumptions. Let’s assume, for example, that the most efficient means the lowest cost per conversion and that we must spend evenly across all platforms.

22. Let’s say you work for a financial company. You notice that the credit card payment amount per transaction has decreased. How would you investigate what happened?

More context: You have access to transaction data segmented by product categories and customer demographics.

You might want to consider: Analyzing seasonal trends and consumer sentiment. Understanding how external events, such as economic downturns or changes in consumer preferences, impact spending behavior is crucial. How would you approach identifying key drivers behind fluctuations in transaction amounts?

Note: The question also emphasizes the importance of developing targeted marketing strategies to encourage spending. Therefore, the insights gained should inform our promotional efforts and product offerings to better align with customer needs and preferences.

23. Let’s say you work on the growth team at Facebook and are tasked with promoting Instagram from within the Facebook app. Where and how could you promote Instagram through Facebook?

More context: You work on the growth team at Facebook and are tasked with promoting Instagram from within the Facebook app.

You might want to consider: Analyzing user behavior to understand engagement patterns. Identifying which features of Instagram resonate most with Facebook users could inform targeted promotional strategies. How would you determine the most effective promotional channels within the Facebook ecosystem?

Note: The question also highlights the importance of increasing user retention. Therefore, the strategies employed should not only attract new users but also foster long-term engagement with Instagram’s features.

Interested to learn more about marketing analytics case studies? Check the marketing analytics case study guide for 2022.

Behavioral questions assess soft skills (e.g., communication, leadership, adaptability), your skill level, and how you fit into the company’s marketing team. Behavioral questions are expected early in the marketing analytics process (e.g., recruiter call) and include questions about your experience. Examples of behavioral interview questions for a marketing analyst role would be:

22. How do you define “Big Data”?

“Big data” describes structured or unstructured data that is so high-volume, fast, or complex compared to traditional databases that it cannot process without machine learning. The three Vs. characterize big data:

• Volume (the volume of data, typically several terabytes)
• Velocity (the rate at which we receive or process data)
• Variety (variability in the type of data, such as text, audio, or video)

Since data is only useful if it is accurate and complete, consider two additional criteria:

• Variability (the number of inconsistencies in the data)
• Veracity (the quality and accuracy of the data).

Businesses use big data to yield faster and better decision-making by predicting future outcomes.

23. How would you convey insights and methods to a non-technical audience?

You’ll find a lot of variations to this question, but the objective is always the same: to assess your ability to communicate complex subject matter and make it accessible. Marketing analysts often work cross-functionally, an essential skill they must possess.

Have a few examples ready and use a framework to describe them. You might say:

“The marketing team wanted to better segment customers, so, after understanding their motivations and goals for the project, I presented several segmenting options and talked them through trade-offs.

I presented potential strategies for visualizing the new segments, described vital benefits, and ultimately discussed potential trade-offs.”

24. Describe a marketing analytics project on which you worked. What did you do, and what were the results?

When asked about a project, you should walk the interviewer through the project from start to finish. Begin with the business problem and conception. Describe your approach and how you executed it. And always end with the results. You might say: “In my previous position, I was in charge of identifying opportunities to optimize our marketing efforts. Specifically, I was analyzing the types of ads that were generating conversions. Through my analysis, it became clear that one type of ad worked on Platform A but not Platform B. I persuaded the marketing team to optimize the ads it created for Platform B, resulting in a 10% lift in conversions.”

25. Tell me about when you used data to influence a decision or solve a problem.

Here is a sample answer to this question. Here is an excerpt, “I was working at a healthcare company. Our goal was to improve user acquisition, and one strategy we tested was adding a “Subscribe to Our Newsletter” button in the footer of blog posts. After rolling the feature out, the number of subscribers wasn’t growing. “My job was to understand why the feature wasn’t working. Diving into the analytics, I found that the page scroll depth was just 50-75% for most of our content. Additionally, the average session duration was just 2-3 minutes. I recommended the content marketing team shorten articles, so they were fully read and move the opt-in higher on the page. After these changes, the opt-in rate increased by 50%.”

26. What would you do if a business provided you access to confidential information about a competitor’s plans?

Market analysts often have access to confidential information about their clients and competitors. Employers must ensure you understand the importance of keeping company secrets private. In your answer, explain that you would never share confidential information with anyone outside of work. You can also mention that you would only use the information for professional purposes. You might say: “I will never share confidential information about clients or competitors with anyone outside my job. I take my job very seriously, so I will only use this information for professional purposes. I will only use it to help my employers create better products and services.”

Quick Tip

The best answers in behavioral interviews are like stories, framed from beginning to end, and include plenty of interesting detail. Your goal should be to leave the listener satisfied with their initial question and possibly provide material for further review.

Interview Query offers a variety of resources to level up your Marketing Analytic skills and prepare for your interview. Premium members get access to our data science course, which features an entire SQL module, as well as basic Python, statistics, and marketing analytics skills. See our SQL questions for data analysts and our marketing analytics case study guide. You can also check out our 23 data analyst behavioral interview questions.