B2B Data Analytics & Performance Measurement 3 — Questions and Answers
Question 1: A B2B marketer is using cohort analysis on their demand waterfall. What question does this technique best answer?
- Which keywords have the highest search volume this month?
- How do groups of leads acquired in the same period perform over time compared to other cohorts? (Correct answer)
- What is the current MQL-to-SQL conversion rate across all channels?
- Which accounts have the highest intent score today?
Correct 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.
Question 2: In B2B account-based analytics, 'account engagement score' typically aggregates signals from:
- Only website visits and email opens from a single contact
- Intent data, web activity, content downloads, and event participation across all buying group members (Correct answer)
- CRM deal stage and contract value only
- Social media follower count and ad impressions
Correct 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.
Question 3: What problem does 'closed-loop reporting' solve in B2B marketing?
- It prevents leads from being recycled through nurture campaigns
- It connects marketing campaign data back to closed revenue by syncing CRM outcomes into the marketing automation platform (Correct answer)
- It closes marketing budget at fiscal year-end automatically
- It prevents duplicate leads from entering the CRM
Correct 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.
Question 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?
- $4,200
- $7,000
- $16,800 (Correct answer)
- $28,000
Correct answer: $16,800
CAC = CPO ÷ win rate = $4,200 ÷ 0.25 = $16,800, since you need four opportunities to win one deal.
Question 5: Which statistical concept helps B2B marketers determine whether an A/B test result is unlikely to be due to chance?
- Regression to the mean
- Statistical significance (p-value) (Correct answer)
- Standard deviation of pipeline value
- Year-over-year growth rate
Correct 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.
Question 6: What does a 'waterfall report' (demand waterfall) track in B2B marketing operations?
- Monthly budget expenditure by channel
- The volume and conversion rates of leads as they move through each defined funnel stage (Correct answer)
- The cascading impact of a PR campaign on brand search volume
- Customer churn rates broken out by product tier
Correct 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.
Question 7: In predictive lead scoring, which type of data is used to build the model?
- Only survey responses from current customers
- Historical records of leads that did and did not convert, combined with firmographic and behavioral attributes (Correct answer)
- Real-time social media sentiment about the brand
- Sales rep subjective ratings entered into the CRM
Correct 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.
A B2B marketer is using cohort analysis on their demand waterfall.
What question does this technique best answer?