Method and apparatus for high-dimensional market segmentation based on canonical correlation

Abstract

The invention relates to a market segmentation method, in particular to a high-dimensional market segmentation method and device based on typical correlation. The method of the invention comprises thefollowing steps: S1, according to a sample, establishing a data file of an original variable; S2, according to the original variable in S1, selecting a plurality of index variable groups, performingnonlinear canonical correlation analysis, and determining the dimension of the sample and the canonical correlation coefficient of each dimension, when the determined canonical correlation coefficientis greater than a set threshold, obtaining the object score on each dimension of the sample according to the canonical correlation coefficient; S3, according to the object score of the sample, the customer group is classified by the cluster analysis; S4, describing the market segmentation result according to the classification result. The invention is a segmentation method based on the relationship among a plurality of index variable groups, which is suitable for the market segmentation of multi-dimensional variables, and realizes the quantification of category variables and the dimension reduction of data. The invention has wide application range and high reliability of subdivision result.

Description

technical field [0001] The invention relates to a market segmentation method, in particular to a typical correlation-based high-dimensional market segmentation method and device. Background technique [0002] With the continuous advancement of marketing concepts, in order to reduce the cost of enterprises, precision marketing is becoming more and more important. However, the differentiation of consumer demand makes marketing more and more difficult. The premise of realizing precision marketing is to segment consumer groups, that is, market segmentation. Market segmentation refers to the division of customers in the market into several customer groups according to certain indicators, and each customer group constitutes a sub-market, which is the basis for selecting the target market. Effective market segmentation makes marketing investment more targeted and thus more profitable. Differentiated marketing and customized marketing must start with market segmentation. However,...

AI Technical Summary

Problems solved by technology

This kind of subdivision based on a single indicator is the simplest and most feasible extensive subdivision. This subdivision method is relatively weak in operability and poorly suited to actual applications.

Segmentation based on multi-indicators is to cross two or more indicators to form a multi-dimensional intersection. Each intersection forms a small market segment. Adjacent groups are merged to increase the fit with the actual situation. This subdivision method is more operable, but it is easily affected by subjective factors.

The subdivision based on the linear index variable group is to study the relationship between a dependent variable group and an independent variable group. It analyzes the overall correlation between variable groups and is suitable for the first-order dimension, but for complex and multi-dimensional variables. Poor adaptability to current market segmentation

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