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Customer Insights 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 Customer Insights flashcards as text
  1. When analyzing customer feedback using text analytics, what is 'sentiment analysis' designed to detect?

    Answer: The positive, negative, or neutral tone expressed in text

    Sentiment analysis uses NLP techniques to classify text as expressing positive, negative, or neutral sentiment, enabling large-scale opinion mining.

  2. A company surveys 500 customers with an NPS questionnaire and gets a score of +42. Which action best supplements this finding?

    Answer: Conduct follow-up qualitative interviews with detractors to understand reasons

    Following up with detractors through qualitative research uncovers the specific reasons for dissatisfaction, turning a metric into actionable insight.

  3. Which segmentation approach groups customers by their psychological characteristics such as values, interests, and lifestyle?

    Answer: Psychographic segmentation

    Psychographic segmentation categorizes customers by personality traits, values, interests, and lifestyles rather than observable demographics or location.

  4. A retail brand wants to compare how new and existing customers behave over their first six months. Which analytical framework is most appropriate?

    Answer: Cohort analysis

    Cohort analysis groups customers by their acquisition date and tracks their behavior over time, enabling comparison of different acquisition cohorts.

  5. What is the key difference between first-party and third-party customer data?

    Answer: First-party data is collected directly by the brand; third-party data is collected by external parties and sold or shared

    First-party data is collected directly from customers through owned channels, while third-party data is aggregated by external data providers and sold to brands.

  6. Which research method would best validate whether a new customer insight is generalizable to the full target population?

    Answer: Quantitative survey with a statistically representative sample

    A quantitative survey with a representative sample allows findings to be projected to the broader population with a known margin of error.

  7. In customer analytics, what does 'churn prediction modeling' primarily aim to accomplish?

    Answer: Identify customers at high risk of canceling before they actually leave

    Churn prediction models use behavioral and engagement signals to flag at-risk customers early enough for retention interventions to be effective.