Abstract: A method for determining a grouping of segments within a market. The method includes forming a bias mitigated square matrix from a square matrix populated with second choice data, and forming a compressed matrix from the bias mitigated square matrix. Each different segment is initially associated with a row of the square matrix and a column of the square matrix. The method also includes determining a matrix consistency score for the compressed matrix, forming at least one additional compressed matrix from the bias mitigated square matrix, and determining matrix consistency scores for each additional compressed matrix. The method further includes determining which matrix consistency score is best.
Abstract: A method of measuring the sales performance of a dealer may include determining a propensity to buy score associated with each lead received by a dealer and determining an expected close rate associated with the dealer that may be based on the determined propensity to buy scores. The method may also include determining, by a computing device, an effectiveness rate associated with the dealer that may be based on at least the expected close rate and an actual close rate.
Abstract: A method for determining a grouping of segments within a market. The method includes forming a bias mitigated square matrix from a square matrix populated with second choice data, and forming a compressed matrix from the bias mitigated square matrix. Each different segment is initially associated with a row of the square matrix and a column of the square matrix. The method also includes determining a matrix consistency score for the compressed matrix, forming at least one additional compressed matrix from the bias mitigated square matrix, and determining matrix consistency scores for each additional compressed matrix. The method further includes determining which matrix consistency score is best.
Abstract: A method of measuring the sales performance of a dealer may include determining a propensity to buy score associated with each lead received by a dealer and determining an expected close rate associated with the dealer that may be based on the determined propensity to buy scores. The method may also include determining, by a computing device, an effectiveness rate associated with the dealer that may be based on at least the expected close rate and an actual close rate.