Buy custom Data mining in customer acquisition 
    
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            | Topic: | 
            
                
                    Business
                
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            | Number of pages / Number of words: | 
            
                4 / 1100             | 
        
                
    
    Essay's paper body
        
        
CLV is a measurement of what a customer is projected to be worth over a lifetime. It is the potential contribution of the customer to the company over period of time. Projecting CLV helps the company in benchmarking for how much it would or should be willing to invest to acquire a customer.
In calculating the Customer Lifetime Value, the company needs to refer to the customer purchase history to find out the retention rate in a period of time and value generated in its lifetime...
        
        
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With the forecast of acquisition cost per each customer, the company would get the potential revenue that it will earn in future. Says the promotion cost is RM1 million to 100,000 selected customer and the company get 5.5% responds from the customer. Each of the responded customer would generate sales at RM69...
        
        
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            General points of the essay
            
                                    The Customer Comes Second
                                    A RELATIONAL STUDY ON CUSTOMER SATISFACTION, TRUST , SWITCHING BARRIERS AND OVER ALL CUSTOMER RETENTION IN THE CONTEXT OF UNITREND LTD.
                                    Customer Acquisition And Keeping Customers In Today’S Volatile Market
                                    Customer Needs
                                    Customer Satisfaction
                                    Customer Satisfation
                                    Customer Service
                                    Customer
                                    customer behaviour
                                    customer lifetime value analysis
                                    Data mining in customer acquisition
                                    Legal constraints regarding the usage of customer data. What is an "opt-in"?
                                    OBSERVING YOUR CUSTOMER NEEDS
                                    Customer Rentention
                                    What constitutes good customer service and makes a company in the fast food industry indispensable?
                            
                    
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