CCRS Data Analysis & Customer Feedback 5

Question 1

A retention analyst notices a spike in negative feedback after a product update. The best immediate action is to:

Accepted Answer

Quantify the scope, identify affected segments, and escalate to product teams

Answer

Scoping the issue and escalating with data allows product teams to address root causes while retention teams manage at-risk accounts.

Question 2

Which approach helps distinguish between customers who churned due to price versus those who churned due to product dissatisfaction?

Accepted Answer

Exit survey segmentation and reason-code analysis

Answer

Exit surveys with coded reason categories allow analysts to quantify churn drivers and prioritize retention interventions accordingly.

Question 3

Lagging indicators in customer retention analysis are best described as metrics that:

Accepted Answer

Reflect outcomes that have already occurred

Answer

Lagging indicators like churn rate and revenue loss confirm past outcomes rather than enabling proactive intervention.

Question 4

A company wants to prioritize which at-risk customers to contact first. The most data-driven approach is to:

Accepted Answer

Rank customers by predicted CLV loss combined with churn probability score

Answer

Combining CLV with churn probability ensures retention efforts focus where the potential revenue impact is highest.

Question 5

Which sampling method ensures all customer segments are proportionally represented in a feedback survey?

Accepted Answer

Stratified random sampling

Answer

Stratified random sampling divides the population into subgroups and samples proportionally from each, ensuring balanced representation.

(CCRS) Certified Customer Retention Specialist Practice Test