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In sequencing custom aggregates, understanding the hierarchical relationship between market, product, and period aggregates is essential. The correct order of "Market aggregate; Product aggregate; Period aggregate" reflects a logical approach to assembling data for analysis.

Market aggregates typically represent the broader context, encapsulating the performance metrics over various products within a specific market. This helps analysts understand trends and fluctuations from a high-level perspective. Following this, product aggregates involve a more narrow focus, analyzing performance metrics specific to individual products or categories within that market. Finally, period aggregates provide a temporal filter, allowing for an analysis of how aggregates behave over different time frames.

Thus, beginning with the market aggregate sets the stage for understanding the overall landscape, then zooming into individual products enables detailed insights into their performance, and finally, applying a period aggregate layer allows seasonal or temporal trends to be thoroughly analyzed in this well-structured hierarchy. This sequential logic is foundational for effective data analysis in category management.