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Data Analysis & Decision Making Flashcards

7 cards from real MAC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Data Analysis & Decision Making flashcards as text
  1. Which type of analysis would best help a brand understand how it performs relative to direct competitors on key marketing KPIs?

    Answer: Competitive benchmarking

    Competitive benchmarking compares a brand's KPIs against industry peers or direct competitors to identify performance gaps.

  2. A marketer observes that social media spend increased and sales increased in the same month. The best next step is to:

    Answer: Run a controlled experiment or use causal inference techniques to test whether spend drove sales

    Correlation in time series data does not establish causality; a controlled test or causal method is required before attributing sales lift to spend.

  3. In regression analysis, what does an R² value of 0.72 mean?

    Answer: 72% of the variation in the dependent variable is explained by the independent variables in the model

    R² (coefficient of determination) represents the proportion of variance in the outcome variable explained by the predictors.

  4. What is the main risk of using vanity metrics (e.g., total social followers) as primary KPIs for a marketing campaign?

    Answer: They may look impressive but do not correlate with business outcomes like revenue or profit

    Vanity metrics can be optimized without improving actual business results, leading to misallocated resources and poor decisions.

  5. A brand's email open rate dropped 15% after Apple's Mail Privacy Protection (MPP) update. What is the most analytically sound response?

    Answer: Shift primary success metrics to click-through rate and conversions, which are unaffected by MPP

    MPP inflates or distorts open rate data by pre-loading pixels, so downstream engagement metrics like CTR become more reliable signal.

  6. Which segmentation approach divides customers based on their psychological traits such as values, interests, and lifestyle?

    Answer: Psychographic segmentation

    Psychographic segmentation groups customers by internal attributes like values, attitudes, and lifestyle rather than observable demographics.

  7. When interpreting a marketing mix model (MMM) output, what does the 'base' component typically represent?

    Answer: Organic, non-marketing-driven demand such as brand equity and seasonality

    In MMM, the base represents the portion of sales that occurs independently of paid marketing activity, driven by factors like brand health and seasonality.