MAC Study Guide 2026
Everything you need to pass the MAC exam in one place: the exam format, every topic to study, real practice questions with explanations, flashcards, and full-length practice tests. Free, no sign-up needed.
📋 MAC Exam Format at a Glance
📚 MAC Topics to Study (21)
✍️ Sample MAC Questions & Answers
1. In A/B testing, what is a 'false positive' (Type I error)?
A false positive (Type I error) occurs when you incorrectly conclude that a variant outperforms the control when the observed difference is actually random.
2. Which type of attribution model typically uses machine learning algorithms to assign credit based on actual conversion data?
Data-Driven attribution uses machine learning to analyze conversion paths and assign credit based on the actual impact of each touchpoint.
3. Which of the following best describes the concept of 'algorithmic attribution'?
Algorithmic (data-driven) attribution uses machine learning and statistical methods to assess the true incremental contribution of each touchpoint.
4. How does big data affect data collection and management in marketing?
Big data refers to extremely large datasets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior. Its emergence has significantly impacted data collection and management in marketing by introducing unprecedented volumes, velocities, and varieties of data. This necessitates more sophisticated tools and strategies for storage, processing, and analysis, making data management more complex.
5. Which technique is commonly used to gather customer insights in marketing?
Gathering customer insights involves understanding customer motivations, preferences, and behaviors through various methods. Surveys provide quantitative data and broad opinions, focus groups offer qualitative, in-depth discussions and immediate feedback, and general feedback mechanisms (like online reviews or customer service interactions) capture ongoing sentiment. Together, these techniques provide a rich and nuanced understanding of the customer base, informing strategic decisions.
6. When documenting A/B test results for a stakeholder report, which element is most important to include alongside the winning variant?
A complete test report should document the hypothesis, confidence level, sample size, and lift so stakeholders can evaluate the reliability of the result and apply the learning to future decisions.