Mobile CRM Mining Customer Value Maximization

In the network era, the information of network Shanghai greatly reduced the cost of obtaining information for enterprises and customers. Companies can get a lot of customer information in a short period of time, customers can choose the most suitable products by comparison. The network shortens the relationship between the enterprise and the customer. However, under the influence of a lot of information, the authenticity of information is often difficult to be clear, the effective utilization of information is not high.

In customer development, enterprises often need to collect a large number of market and customer information, and the information on the network is difficult to filter effective customers. Research shows that more than 1/3 of potential customers waste their time and energy, and eventually the enterprise abandons the customer.

When the company collects hundreds of thousands of market information and customer data, it is clear that in a large database, not all of the data is true and effective, and not all potential customers can be converted into a customer, the company to bring profits. On the contrary, a large proportion of them are consumed. The cost of the company does not yield any profit. What businesses need to do is use the CRM system to filter the most valuable parts of the massive data and maximize their value.

Collect accurate data to purify customer database

Information markets, all kinds of data are pouring out, enterprises can easily get all kinds of data from the market, but not all of the data is valuable. How to filter and validate data is an issue. Using CRM to promote e-survey, using System template to create questionnaires, by matching the relevant customer groups, timed quantitative transmission to customers for data research, CRM can automatically save the customer's reply data to the database, for the relevant personnel to view or extract. Through the pre-set conditions, the enterprise can get the most accurate first-hand information from CRM, without the time and effort to complete the purification of customer data.

Intelligent Analytics captures valuable customers

The key to collecting data is how to use it. Without integrated analysis, useful information can be formed, and more data is worthless to the enterprise. Customer relationship management, which is embedded in business intelligence, can filter and analyze customer data, identify target customers based on consumer behavior and identity information, analyze their interests and interests from customers ' products, and analyze potential customers from historical business information and other potential business opportunities, and determine whether they can take them to business. Assessing value is a key step in customer development.

In addition, the analysis of customer information is also conducive to follow-up customer classification management, customer demand is increasingly diversified, differentiated and personalized features, customers want their personalized needs can be met, not just to meet basic needs. At the same time, for customers with deep cooperation with the enterprise, customers also hope to get more value-added services than other customers. The satisfaction degree of the enterprise to customer demand has a great influence on customer satisfaction and loyalty.

Using CRM to conduct multi-level analysis of customer data can help enterprises to better understand customer's real intentions and maximize customer value.

Fully maintain customer value maximization

No matter what the industry, customer churn is always there, corporate customers like in a huge hourglass, at different speeds to lose. In order to ensure the performance, we must constantly inject new customers, but if the new customers are not free to take care of old customers, a large number of old customers will quickly from the bad service "loopholes" lost. In a highly competitive market, the cost of acquiring new customers is high. A large number of old customer churn is a huge loss of enterprises.

Information management enables CRM to help companies care more about their customers and retain valuable customers. In order to bring real loyalty, trust and sustainability to the company, consumers must be satisfied with the various elements involved in the process and outcome of the product or service. CRM can match the product information, according to customer needs, to provide personalized advice, generate detailed customer analysis reports, to assist the sales staff to follow up customers more efficient and clear customer behavior analysis results, so that the company to provide customers with more than expected products or services, not only to meet their target needs. Exceeding expectations, it is possible

Mobile CRM Mining Customer Value Maximization