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Attribution Modeling Flashcards

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

Read the first 7 Attribution Modeling flashcards as text
  1. Why might a marketer choose a First-Touch attribution model over other models?

    Answer: To identify which channels are best at generating initial brand awareness

    First-Touch attribution is most useful for understanding which channels drive initial awareness and top-of-funnel customer acquisition.

  2. Which scenario is BEST suited for using a Time Decay attribution model?

    Answer: An e-commerce company with short purchase cycles where recent interactions drive decisions

    Time Decay is ideal for short sales cycles where the most recent touchpoints have the strongest influence on purchase decisions.

  3. What is a key advantage of data-driven attribution over rule-based models?

    Answer: It uses actual conversion path data to reflect the true impact of each touchpoint

    Data-driven attribution leverages machine learning on historical conversion data to provide more accurate credit allocation than static rule-based models.

  4. When comparing attribution models in Google Analytics 4 (GA4), what tool allows marketers to see how different models affect channel credit allocation?

    Answer: The Attribution Model Comparison Report

    GA4's Attribution Model Comparison report lets marketers compare how different attribution models distribute conversion credit across channels side by side.

  5. A marketing team finds that Last-Touch attribution heavily favors their paid search (SEM) channel. What is the most likely explanation for this?

    Answer: Customers frequently click a paid search ad immediately before converting, making it the last touch

    Paid search ads often appear when customers have strong purchase intent and are near the end of their journey, making them the final touchpoint before many conversions under Last-Touch models.

  6. What is the purpose of a 'holdout group' in marketing attribution analysis?

    Answer: To serve as an unexposed control group for measuring the true incremental impact of a campaign

    A holdout group is a control segment that does not receive the marketing treatment, allowing analysts to measure true incremental lift vs. organic behavior.

  7. Which of the following is the MOST significant limitation of cookie-based digital attribution tracking?

    Answer: It becomes less accurate due to ad blockers, browser privacy settings, and cookie deletion

    Cookie-based attribution is increasingly limited by widespread ad blocking, browser privacy restrictions (like Safari's ITP), and users deleting cookies, leading to significant data gaps.