Practice Test Geeks(B2B) Business-to-Business Marketing certification Practice Test
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Data Analytics & Performance Measurement Flashcards

7 cards from real B2B 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 & Performance Measurement flashcards as text

  1. A B2B marketer is using cohort analysis on their demand waterfall. What question does this technique best answer?

    Answer: How do groups of leads acquired in the same period perform over time compared to other cohorts?

    Cohort analysis tracks groups of leads acquired in the same timeframe, revealing whether conversion performance improves or degrades across acquisition periods.

  2. In B2B account-based analytics, 'account engagement score' typically aggregates signals from:

    Answer: Intent data, web activity, content downloads, and event participation across all buying group members

    Account engagement scores roll up behavioral signals from multiple stakeholders within the account to reflect overall account-level interest and readiness.

  3. What problem does 'closed-loop reporting' solve in B2B marketing?

    Answer: It connects marketing campaign data back to closed revenue by syncing CRM outcomes into the marketing automation platform

    Closed-loop reporting links marketing touchpoints to final CRM outcomes (won/lost), enabling accurate attribution of revenue to marketing activities.

  4. A company's cost per opportunity (CPO) is $4,200 and average deal size is $28,000. If win rate is 25%, what is the cost to acquire one customer (CAC) via this channel?

    Answer: $16,800

    CAC = CPO ÷ win rate = $4,200 ÷ 0.25 = $16,800, since you need four opportunities to win one deal.

  5. Which statistical concept helps B2B marketers determine whether an A/B test result is unlikely to be due to chance?

    Answer: Statistical significance (p-value)

    Statistical significance (measured by p-value) indicates the probability that observed differences between variants occurred by random chance, typically requiring p < 0.05.

  6. What does a 'waterfall report' (demand waterfall) track in B2B marketing operations?

    Answer: The volume and conversion rates of leads as they move through each defined funnel stage

    The demand waterfall report shows how many leads enter and exit each stage (Inquiry → MQL → SAL → SQL → Opportunity → Closed Won) and the conversion rates between them.

  7. In predictive lead scoring, which type of data is used to build the model?

    Answer: Historical records of leads that did and did not convert, combined with firmographic and behavioral attributes

    Predictive scoring models train on historical conversion data alongside firmographic and behavioral signals to identify patterns predictive of future conversion.