The promotion applies to all energy bars, which represent a product category. Defining the Retail Store KPI at the product category level allows a single KPI record to cover the audit for the entire promotion at a given store. This approach is the most efficient as it directly addresses the requirement to "minimize records created." If KPIs were set at the individual SKU level, a separate record would be needed for each energy bar variant, which is inefficient for a category-wide promotion audit. The goal is to check the promotional compliance for the "energy bar" group, making the category level the appropriate choice.

A. At the energy bar product SKU level: This is too granular. It would create an excessive number of KPI records (one per SKU per store), contradicting the requirement to minimize them.

B. At the Alpine brand catalog level: This level is too broad. The promotion is specific to the energy bar category, not all products within the entire Alpine catalog.

C. At the custom context field level: This is not a standard hierarchical level for defining KPIs. KPIs are directly associated with standard objects like Product or Product Category.

1. Salesforce Help, Consumer Goods Cloud, "Set Up Retail Store KPIs": The documentation states, "You can associate a KPI with a product or a product category. For example, to track the share of a shelf for a particular brand of cereal, associate the KPI with the product. To track the share of a shelf for all products of a brand, associate the KPI with the product category." This directly supports using the product category level for a promotion covering a group of products like "all energy bars."

2. Salesforce Help, Consumer Goods Cloud, "Retail Execution Data Model": The official data model diagram for Consumer Goods Cloud shows that the RetailStoreKpi object has a direct lookup relationship to both Product2Id and ProductCategoryId. This confirms that KPIs are designed to be set at either the individual product (SKU) level or the product category level, providing the architectural basis for the correct choice. The principle of data minimization, a core Salesforce platform best practice, dictates choosing the category level in this scenario.