Practice Test Geeks(CCRM) Certified Client Relationship Manager Practice Test
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Data Analytics Flashcards

7 cards from real CCRM 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 Analytics flashcards as text

  1. A client relationship manager notices that customer churn rate increased by 15% after a product update. Which analytical approach best identifies the root cause?

    Answer: Diagnostic analytics drilling into behavioral patterns before and after the update

    Diagnostic analytics is designed to identify why a metric changed by examining underlying patterns and correlations.

  2. When segmenting clients by lifetime value, which metric is MOST critical to include in the calculation?

    Answer: Average purchase frequency multiplied by average order value and customer lifespan

    Customer Lifetime Value (CLV) is calculated using purchase frequency, average order value, and expected customer lifespan.

  3. A CRM analyst wants to predict which clients are most likely to upgrade their service tier. Which machine learning approach is most appropriate?

    Answer: Classification model trained on historical upgrade behavior

    Classification models predict categorical outcomes (upgrade vs. no upgrade) based on historical labeled data.

  4. Which visualization type is best suited for showing the distribution of client satisfaction scores across 500 responses?

    Answer: Histogram

    Histograms display the frequency distribution of continuous or ordinal data, making them ideal for survey score distributions.

  5. A data analyst is comparing client retention rates across five regional offices. Which statistical test is appropriate to determine if differences are statistically significant?

    Answer: One-way ANOVA

    One-way ANOVA tests whether means differ significantly across three or more independent groups.

  6. In CRM data analytics, what does 'data normalization' primarily achieve?

    Answer: Scales numeric variables to a common range to prevent bias in models

    Normalization rescales features to a consistent range so that no single variable dominates analytical models due to its magnitude.

  7. A relationship manager reviews a report showing a Pearson correlation of -0.82 between response time and client satisfaction. What does this indicate?

    Answer: Faster response times are strongly associated with higher satisfaction scores

    A correlation of -0.82 indicates a strong negative relationship: as response time increases (slower), satisfaction decreases.