At Button, a Marketing Analytics Specialist plays a critical role in driving growth and optimizing mobile commerce performance. As the analytical backbone of the marketing team, you will be responsible for translating complex user behaviors, mobile funnel metrics, and marketing campaign data into actionable strategic insights. Button operates a highly sophisticated mobile commerce platform that connects top brands and publishers, meaning your analysis will directly influence how millions of dollars in marketing spend are allocated and how user journeys are optimized.

This position is highly collaborative and carries significant strategic weight, often reporting directly to or working closely with the VP of Marketing. You will not just be pulling data; you will be answering high-level business questions about customer acquisition costs, lifetime value, and partner performance. Your insights will help the team scale its marketing efforts efficiently, making you an essential partner to both the marketing and product organizations.

To succeed in this role, you must possess a unique blend of technical data proficiency and strategic marketing acumen. Button values individuals who can dive deep into databases but also lift their heads up to explain the "why" behind the numbers to executive stakeholders. It is a challenging but highly rewarding role where your data models and recommendations will shape the company’s growth trajectory.

To help you prepare, we have categorized representative questions based on real interview experiences at Button. These questions are designed to test your technical skills, strategic marketing knowledge, and behavioral alignment with the team.

Marketing Analytics & Performance Metrics

These questions evaluate your understanding of core growth marketing frameworks, attribution models, and funnel optimization.

• How do you define and calculate Customer Acquisition Cost (CAC) and Lifetime Value (LTV) in a multi-channel mobile environment?
• Explain the pros and cons of first-touch versus last-touch attribution models. Which would you recommend for a mobile commerce platform?

Preparing for an interview at Button requires a balanced approach. You must demonstrate both your technical ability to manipulate data and your strategic capability to drive marketing outcomes.

Analytical & Technical Rigor – You must be comfortable working with complex, multi-source datasets. Be ready to demonstrate proficiency in SQL, Excel, and data visualization tools, as well as a strong grasp of mobile tracking and attribution technologies.

Structured Problem-Solving – Button's interviewers care deeply about how you think. When presented with ambiguous scenarios, break down your approach step-by-step, state your assumptions clearly, and focus on how your findings would drive concrete business decisions.

Proactive Stakeholder Communication – In this role, you will act as an internal consultant. You must show that you can translate raw data into compelling narrative stories that help the VP of Marketing and other leaders make confident, data-driven choices.

Cultural Alignment & Transparency – Button is known for its highly communicative, warm, and transparent culture. Show that you are receptive to feedback, eager to collaborate, and proactive about aligning expectations with your manager and peers.

The interview process at Button is rigorous, thorough, and highly structured to ensure a strong mutual fit. Candidates frequently praise the recruiting team for their exceptional communication, warmth, and professional handoffs—often keeping candidates updated at every stage of the pipeline.

The journey begins with an initial conversation with a recruiter, followed by a deeper dive with the hiring manager, typically the VP of Marketing. If those initial stages go well, you will be asked to complete a take-home assignment designed to simulate real-world challenges you would face on the job. The final stage is a comprehensive onsite interview where you will meet the core team members you will be collaborating with daily.

The visual timeline above outlines the typical progression of the Button interview process. Candidates should interpret this as a structured journey that transitions from high-level alignment to practical, hands-on evaluation. Use this timeline to pace your preparation, ensuring you dedicate ample time to the critical take-home assignment before shifting your focus to the collaborative onsite rounds.

To excel in the Button interview process, you must understand the specific areas where you will be evaluated. The hiring team looks for a combination of technical execution, strategic marketing insight, and collaborative communication.

Take-Home Case Study & Analytical Test

The take-home assignment is a pivotal stage in the Button process. It is designed to evaluate your ability to handle raw data, apply marketing logic, and present your findings clearly.

Be ready to go over:

• Data Manipulation – Showcasing clean, organized data structures in Excel or SQL.
• Marketing Math – Accurately calculating core metrics such as ROAS, conversion rates, and channel efficiency.
• Strategic Recommendation – Moving beyond the numbers to provide clear, actionable business recommendations based on your analysis.
• Advanced concepts (less common) – Multi-touch attribution modeling, cohort retention analysis, and statistical significance testing for A/B tests.

Example scenarios:

• "Analyze a sample dataset of mobile ad spend and user conversions to identify the most cost-effective acquisition channels."
• "Write a brief executive summary explaining why a specific marketing campaign failed to meet its ROI targets despite high click-through rates."

Strategic Marketing Acumen

You must demonstrate a deep understanding of the mobile commerce ecosystem and how marketing analytics drives business growth.

Be ready to go over:

• Mobile Funnel Dynamics – Understanding user behavior from app install to purchase.
• Attribution Methodologies – Discussing the nuances of mobile measurement partners (MMPs) and tracking limitations.
• Campaign Optimization – Explaining how to leverage data to improve ad creatives, targeting, and audience segmentation.

Example scenarios:

• "How would you design an experiment to test the effectiveness of a new re-engagement campaign for dormant app users?"
• "Detail how you would measure the long-term value of users acquired through organic search versus paid social ads."

Collaboration & Culture Fit

Button places a massive emphasis on mutual fit. They want to ensure that you will thrive in their warm, highly communicative environment.

Be ready to go over:

• Expectation Alignment – Being transparent about your career goals and working style.
• Cross-Functional Communication – Demonstrating how you build relationships with product managers, engineers, and sales teams.
• Handling Feedback – Showing coachability and a growth mindset when your analytical work is challenged.

Example scenarios:

• "Tell me about a time you had to work with an engineering team to implement new tracking pixels or data schemas."
• "How do you align expectations with a manager who has a highly demanding and fast-paced working style?"