Sales clue following and processing system and method suitable for automobile industry, and medium

Abstract

The invention provides a sales clue following and processing system and method suitable for the automobile industry and a medium. The system comprises a clue import module which is used for carrying out real-time unified acquisition, clue cleaning and data formatting processing on network clues, rating the acquired network clues on the basis of vehicle purchase intention and transferring the ratednetwork clues into a clue distribution module; the clue distribution module which is used for distributing the rated network clues to follow-up personnel accounts and transferring the distributed network clues into a clue follow-up module; and the clue follow-up module which is used for carrying out follow-up processing and state auditing on the distributed network clues. The method can effectively help a dealer 4S store to save time cost and improve personnel efficiency in the clue processing process, help a DCC department to reasonably formulate a clue follow-up strategy so as to give playto the maximum value of the clues, and finally improve the overall store entry conversion rate of the network clue.

Description

technical field [0001] The present invention relates to the technical fields of computing and communication, in particular to a system, method and medium suitable for following up and processing sales leads in the automobile industry. Background technique [0002] With the development of mobile Internet technology and the popularity of smart phones, the traditional decision-making path for car purchases is quietly changing. The number of online leads continues to increase and has exploded in recent years. [0003] As an integral part of the core customer pool of dealer leads, the fluctuation of online leads has seriously affected the dealer's vehicle sales business. Due to the low cost of retaining funds online, the number of vertical media leads and the number of monthly active users are inverted, serious online leads are flooded, and problems such as false leads of advertising agencies have surfaced, which increasingly affect the normal operation of the DCC business of de...

AI Technical Summary

Problems solved by technology

[0005] 1. Business personnel cannot quickly identify effective clues, and the rate of customer invitations to the store is low. In the long run, this will lead to low personnel efficiency and rising human resource costs;

[0006] 2. It is time-consuming and laborious for the online sales department (DCC) to follow up, and the fluctuations in store entry and conversion are also large. The value of online clues is getting lower and lower, and the cost of DCC customer acquisition is gradually increasing;

[0007] 3. When the online marketing department (DCC) follows up leads, it is difficult to provide differentiated services, and the customer service experience is poor

[0010] 1. The existing follow-up process has been using the CallCenter call center model, and the process is solidified and inflexible;

[0011] 2. The online marketing department (DCC) mainly uses self-made reports to process clues, which is time-consuming and labor-intensive, and there is a risk of data loss;

[0012] 3. The follow-up clue system of the online marketing department (DCC) mainly records clue information and follow-up results, and lacks effective monitoring, analysis and improvement methods for the follow-up process

[0015] Patent document CN 110046933A discloses an Internet-based automatic screening system for automobile sales leads. Its main functions focus on the identification and storage of information sources. The matching and integration of customer information cannot bring strategy adjustment and process optimization to the lead follow-up process itself

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