SLM Reporting and Analytics 5

Question 1

Which standard Einstein Analytics dataset in Salesforce Loyalty Management tracks cumulative member point balances over time?

Accepted Answer

Member Currency Snapshot Dataset

Answer

The Member Currency Snapshot Dataset captures periodic snapshots of member point balances, enabling time-series analysis of balance trends.

Question 2

What is the significance of 'redemption lag' in Loyalty Management analytics?

Accepted Answer

The average time between a member earning points and redeeming them

Answer

Redemption lag measures the average time members take to redeem earned points, indicating program engagement speed and reward desirability.

Question 3

A loyalty analyst wants to use Einstein Discovery to predict which members are likely to churn. Which data is most critical to include in the model?

Accepted Answer

Transaction frequency, recency, and tier status

Answer

Transaction frequency, recency, and tier status are the core RFM (Recency, Frequency, Monetary) signals most predictive of member churn in loyalty programs.

Question 4

Which report grouping strategy would help a loyalty analyst understand whether tier benefits are driving repeat purchase behavior?

Accepted Answer

Group by tier level and count of transactions per member

Answer

Grouping by tier level with a count of transactions per member directly shows whether members in higher tiers transact more frequently.

Question 5

In Salesforce Loyalty Management, the 'Net Promoter Score (NPS) by Tier' analytics view is used to measure what?

Accepted Answer

The likelihood of members referring friends, segmented by loyalty tier

Answer

NPS by Tier segments referral likelihood data by loyalty tier to reveal whether higher-tier members are more likely to advocate for the brand.

(SLM) Salesforce Loyalty Management Certification Practice Test

(SLM) Salesforce Loyalty Management Certification Practice Test

SLM Reporting and Analytics 5