How to use data-driven "customer lifecycle management" to improve lead conversion rate and customer satisfaction?

Catalog

Two pain points

Solution

Five values

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「 The whole life cycle of customers 」 Describes such a process ： From the beginning, I am unfamiliar with the products or services of the enterprise , To get familiar with , Then the sales will be converted into paying customers , Finally, it is used continuously or lost . Different departments will be involved in the process （ sales 、 pre-sale 、 product 、 technology 、 After sales, etc ）, Service customers at different stages , So as to complete the transformation of the whole life cycle .

Two pain points

As the customer lifecycle evolves , The roles of different departments in the enterprise have more and more contacts with customers , Customer data will be like a snowball , The bigger the roll . Precipitate customer data at different stages , Data driven Customer Lifecycle Management , Help optimize enterprise efficiency , But there are many challenges in the process , The core is two things ：

1、 Some enterprises may have already deployed CRM System , Or customer service system 、 After sales system , But how to get through the data ？

2、 When new business and new requirements arise , How the data in the original process is changed