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Data & Analytics Flashcards

6 cards from real GMC practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 6 Data & Analytics flashcards as text
  1. Why is data important in growth marketing?

    Answer: To support data-driven decision making

    Data is the foundation of growth marketing, enabling marketers to understand customer behavior, measure campaign performance, and identify opportunities for optimization. By analyzing data, growth marketers can make informed, strategic decisions about where to allocate resources, what experiments to run, and how to improve results, rather than relying on intuition.

  2. Which metric best indicates user engagement?

    Answer: Bounce rate

    Bounce rate measures the percentage of visitors who navigate away from a site after viewing only one page. A high bounce rate often indicates that users are not finding what they expected or are disengaged, making it a strong indicator of poor user experience or irrelevant content, and thus low engagement.

  3. What does Customer Lifetime Value (CLV) measure?

    Answer: Total expected revenue from a customer

    Customer Lifetime Value (CLV) is a metric that estimates the total revenue a business can reasonably expect from a single customer account over their entire relationship with the company. It's crucial for understanding the long-term value of customers and making strategic decisions about marketing spend, customer service, and product development.

  4. Which tool is commonly used for web traffic analytics?

    Answer: Google Analytics

    Google Analytics is the most widely used web analytics service that tracks and reports website traffic. It provides comprehensive data on user behavior, traffic sources, content performance, and conversions, making it an indispensable tool for understanding and optimizing online presence in growth marketing.

  5. How can segmentation improve data analysis?

    Answer: By grouping users by shared traits

    Segmentation improves data analysis by breaking down a large, diverse dataset into smaller, more manageable groups based on common characteristics like demographics, behavior, or interests. This allows for more targeted analysis, revealing specific trends and insights within each segment that might be obscured in the overall data, leading to more effective strategies.

  6. What does a high churn rate indicate?

    Answer: Customer retention issues

    A high churn rate indicates that a significant number of customers are discontinuing their relationship with a company, whether by canceling subscriptions or not making repeat purchases. This suggests underlying problems with customer satisfaction, product value, or service, highlighting critical customer retention issues that need addressing.