1. A method to predict performance metrics of a new product, comprising: identifying, with a programmed processor, a segment location of a product hierarchy tree based on a projected distribution measure for the new product; retrieving, with the programmed processor, a relationship matrix associated with the segment location of the product hierarchy tree, the relationship matrix comprising available product performance coefficients and attribute information; calculating, using the programmed processor, an impact parameter based on a spatial location within the relationship matrix, the spatial location based on the attribute information; calculating the performance metrics for the new product for first and second assortments of related products on a store shelf, the first and second assortments associated with first and second proportional volume shifting effects, respectively, the performance metric calculated based on the impact parameter and a sum of (a) a ratio of category sales in a target geography and overall category sales in a sales channel associated with the new product, and (b) a ratio of channel sales in the target geography and overall channel sales in the sales channel associated with the new product; and selecting a candidate product to de-list based on sales effects with the first and second assortment of products on the store shelf.