Which Data Cloud feature helps calculate reusable attributes like Customer Lifetime Value and Customer Satisfaction Score?

• A. Segments
• B. Calculated Insights
• C. Einstein Score
• D. Tableau Connector

Answer: (B)

Think about the need to define a number of metrics once and reuse them everywhere in your data environment. Calculated Insights is designed for that. It lets you build derived, reusable metrics by applying formulas to existing fields (for example, revenue, customer lifespan, survey scores, and other data points). Once you define something like Customer Lifetime Value or Customer Satisfaction Score as a calculated attribute, you can use that same definition consistently across reports, dashboards, and datasets without rewriting the calculation each time. This ensures uniformity and reduces duplication and errors.

Other options don’t fit as well. Segments are about grouping customers into categories for analysis, not about creating reusable numeric metrics. Einstein Score is an AI-driven scoring feature focused on predictive scoring, not a general mechanism for reusable attribute calculations. Tableau Connector is simply a data connection to Tableau, not a tool for defining and propagating derived metrics inside Data Cloud.