Regional marketing method and system based on heat map

Abstract

The invention discloses a thermal map-based regional marketing method and system, and relates to the technical field of telecommunication services. The method includes: monitoring the network signaling data of the base station; analyzing the network signaling data to extract user location information and business information; generating a population density thermal layer, superimposing and displaying the population density thermal layer on a GIS map, generating Base station value heat layer, superimpose and display the base station value heat layer on the GIS map to obtain a GIS heat map; select the target area according to the heat distribution of the GIS heat map, and conduct regional marketing to users in the target area. The present invention can intuitively display the base distribution and value distribution of users, as well as the geographic differences in population density and value distribution between different regions, and can provide marketers with reasonable and reliable decision-making basis, so that marketers can make decisions according to different regions Carry out precise and targeted marketing according to the heat situation, so as to improve the marketing effect.

Description

technical field [0001] The invention relates to the technical field of telecommunication services, in particular to a thermal map-based regional marketing method and system. Background technique [0002] At present, the existing telecommunications business marketing adopts the label combination selection mode, completes the selection of the target customer group through mathematical operations and expressions, and then pushes the information of the target customer group to the marketing center platform, and configures marketing scenarios through the marketing center platform. Carry out marketing of telecommunications services to target customer groups. [0003] However, existing methods cannot reflect the impact of user location information on user consumption characteristics, cannot directly select users to generate target user groups for marketing recommendations based on user value distribution, cannot intuitively compare the base and value of users in different regions, ...

AI Technical Summary

Problems solved by technology

[0003] However, existing methods cannot reflect the impact of user location information on user consumption characteristics, cannot directly select users to generate target user groups for marketing recommendations based on user value distribution, cannot intuitively compare the base and value of users in different regions, and cannot Intuitively judge whether the distribution of resources in each region is reasonable, resulting in poor marketing effect

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