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What is the purpose of CRM software application data mining? I believe that many inexperienced people do not know what to do about it. Therefore, this paper summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

Data-driven CRM precision marketing subverts the traditional marketing execution process and decision-making model, and makes "marketing" more concise and efficient. In various industries, more and more enterprises actively apply CRM marketing analysis to the actual business links, in order to enhance market competitiveness, sales profit margins and improve user satisfaction.

The main purpose of CRM software application data mining is to:

Subdivision of customer base

The customer group is subdivided into groups with different needs and trading habits according to their regional, trading and other behavioral characteristics. This can enable enterprises to formulate more correct marketing strategies, provide customers with more targeted products and services, improve customer satisfaction with enterprises and products, in order to obtain greater profits. For example, customers can be divided into high-value and low-value customers, and then determine the factors that affect the classification, and then extract the customer data with relevant attributes.

Acquisition of new customers

Most enterprises regard the ability to acquire new customers as one of the main indicators of business development. New customers may be those who do not know about the product, they may be potential consumers, or they may be customers who have used competitive products before, and so on. Of course, enterprises should make clear which customers are potential customers, easy to get customers, more difficult to obtain customers, so as to make more rational use of marketing resources.

The deep excavation of customer value

The business relationship between enterprises and their customers should be continuous and developing. When enterprises and customers establish this two-way relationship, there are many ways to optimize this relationship. Increase contacts with each other during the maintenance of business relations and strive to make more profits from each contact. Cross-selling is such a tool, that is, the process of providing new products and services to existing customers. Of course, it can also be spread through the word-of-mouth of existing customers and dig deep.

The customer information in the enterprise, especially the purchase behavior information, may contain the key or even the decisive factor for this customer to decide his next purchase behavior. Through correlation analysis, data mining can help to analyze the best and most reasonable sales match.

After reading the above, have you mastered the purpose of data mining in CRM software application? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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