Practice Test Geeks(GMC) Growth Marketing Certification Practice Test
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Data Analysis & Decision Making Flashcards

7 cards from real GMC 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. A growth team wants to measure the incremental impact of email campaigns beyond organic conversions. Which methodology is most appropriate?

    Answer: Holdout group testing

    Holdout group testing withholds the email from a control group, allowing the team to measure lift that is truly incremental to baseline organic behavior.

  2. In regression analysis for growth modeling, what does a negative coefficient for a variable indicate?

    Answer: As the variable increases, the outcome metric decreases

    A negative coefficient means the variable has an inverse relationship with the outcome — as it rises, the predicted metric falls.

  3. Which of the following best describes 'activation' in the AARRR (Pirate Metrics) framework?

    Answer: A user experiencing their first meaningful value from the product

    Activation is the moment a user first experiences the core value of the product, often called the 'aha moment.'

  4. A growth analyst builds a predictive churn model. The model has 92% accuracy but the team finds it unhelpful. What is the most likely issue?

    Answer: The dataset is imbalanced — most users don't churn — so accuracy is misleading

    With highly imbalanced classes (e.g., 5% churn), a model predicting 'no churn' for everyone achieves ~95% accuracy while being useless for identifying churners.

  5. What is the primary purpose of using UTM parameters in growth marketing campaigns?

    Answer: To track campaign source, medium, and name in analytics platforms

    UTM parameters append tracking data to URLs so analytics tools can attribute traffic and conversions to specific campaigns, sources, and mediums.

  6. A SaaS company has an MRR of $500K and a churn rate of 5% per month. What is the approximate average customer lifetime in months?

    Answer: 20 months

    Average customer lifetime = 1 / churn rate = 1 / 0.05 = 20 months.

  7. When reporting on growth experiment results to stakeholders, which approach is most credible?

    Answer: Present the primary metric, guardrail metrics, confidence intervals, and sample size

    Presenting primary metrics, guardrails, confidence intervals, and sample size gives stakeholders the full context needed to make informed decisions.