Certified Professional Category Analyst (CPCA) Practice Questions 2025 – All-In-One Guide to Exam Success

The statement about Brand A receiving 45% of promotion support because it generates 45% of category sales exemplifies fair share analysis. Fair share analysis is a method used to allocate promotional resources or support based on the sales contribution of a brand within a specific category. It operates under the principle that brands should receive promotional support that is proportional to their performance in terms of sales.

In this instance, since Brand A accounts for 45% of the total sales in the category, it's deemed appropriate for it to receive an equivalent 45% of the available promotion support. This allocation strategy ensures an equitable distribution of resources, aligning promotional efforts with each brand’s contribution to overall sales, thus maximizing efficiency and effectiveness in marketing activities.

Other options, such as syndicated data analysis, competitor analytics, and multiple regression analytics, do not specifically pertain to the proportional allocation of resources based on sales performance. Syndicated data analysis is more focused on the collection and analysis of data provided by third-party firms about consumer behavior and market trends. Competitor analytics deals with analyzing competitors' strengths and weaknesses, and multiple regression analytics is a statistical technique used for predicting the outcome of a dependent variable based on several independent variables. None of these approaches directly address the allocation of promotional support