Data Analysis & Decision Making Flashcards

A CAM wants to forecast next quarter's expansion revenue using historical data. Which approach provides the most statistically rigorous forecast?

Answer: Linear regression on historical expansion trends

Linear regression identifies the relationship between time and revenue trends, producing a statistically grounded forecast based on historical patterns.

When a CAM's monthly business review data shows conflicting signals — rising usage but declining satisfaction scores — the recommended approach is to:

Answer: Triangulate both data points to identify the root cause

Triangulating multiple data points reveals whether the conflict reflects a temporary lag, a feature-fit issue, or an unmet expectation that needs addressing.

A CAM uses a weighted scoring model to prioritize renewal risk. An account scored 85/100 in product adoption but 20/100 in executive sponsor engagement. The overall risk assessment should:

Answer: Weight engagement scores heavily since sponsor loss is a top churn driver

Weighting factors by their impact on churn ensures the risk score reflects real-world outcomes; executive sponsor loss is consistently a top churn predictor.

Which metric BEST indicates a customer's likelihood to expand their contract in the next quarter?

Answer: Product adoption rate above 80% with growing user count

High product adoption combined with a growing user base signals the customer is realizing value and has capacity to expand usage or seats.

A CAM is asked to explain why customer lifetime value (CLV) dropped 15% year-over-year. Which analysis would be MOST revealing?

Answer: Cohort analysis comparing retention and expansion rates by acquisition year

Cohort analysis isolates how different groups of customers behave over time, revealing whether new cohorts retain and expand at lower rates than older ones.

A CAM observes that accounts using three or more product features have a 90% renewal rate, while single-feature accounts renew at 55%. This data should inform:

Answer: A proactive multi-feature adoption strategy during onboarding

Data showing a strong correlation between multi-feature adoption and renewal should drive a proactive strategy to broaden feature usage early in the customer journey.

When presenting account data to an executive sponsor, a CAM should primarily use:

Answer: A concise summary of 3–5 key metrics tied to business outcomes

Executives need concise, outcome-focused insights rather than operational detail; limiting to 3–5 key metrics tied to their goals drives clearer decisions.