Cross-border SAAS customer analysis method and system based on big data

Abstract

The embodiment of the invention discloses a cross-border SAAS customer analysis method and system based on big data. The method comprises the steps: 1, collecting customer behavior information; 2, collecting customer behavior data; 3, cleaning the customer behavior data; 4, performing analyzing by adopting a preset algorithm according to the cleaned data; and step 5, notifying corresponding employees of the customer by adopting different modes according to an analysis result. According to the invention, a user can conveniently and quickly find a precise client and maintain a certain level of renewal rate, big data is intelligently and closely matched with a business system in real time, and the sustainable development of cross-border SAAS service providers is promoted.

Description

technical field [0001] The present invention relates to the field of Internet technology, in particular to a big data-based cross-border SAAS customer analysis method and system. Background technique [0002] Since 2009, global cross-border e-commerce trade has continued to grow rapidly, correspondingly many e-commerce companies and corresponding SAAS (Software as a Service) service providers have been born; as a cross-border SAAS service provider, the e-commerce With the characteristics of many companies, many types and low unit prices, it is crucial to quickly find accurate customers and maintain a certain level of renewal rate for the sustainable development of cross-border SAAS service providers. [0003] In the existing customer analysis system: [0004] 1. There is no CRM (Customer Relationship Management, customer relationship management system) for cross-border SAAS; [0005] 2. There is no real-time intelligent analysis and classification of customer contract prob...

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Problems solved by technology

[0006] 3. The customer classification of the existing CRM is basically designated by the company's internal employees or simply classified according to the recharge model;

[0007] 4. The customer classification of the existing CRM system is not real-time and is isolated from the business system;

[0008] 5. The customer classification of the existing CRM system does not involve big data calculations, and the scope of data collection is limited to transactional or single product categories.

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