Essays about: "customer retention"
Showing result 16 - 20 of 109 essays containing the words customer retention.
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16. Leveraging Service Recovery as a Marketing Tool
University essay from Högskolan i Gävle/Avdelningen för ekonomiAbstract : Aim: The study aims to explore the process of service recovery, its transformation into a marketing tool and identifying the outcomes of the tool to the organizations. Methodology: The research employed a qualitative methodology with an inductive approach. READ MORE
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17. ASSESSING SERVICE QUALITY AND CUSTOMER SATISFACTION USING SERVQUAL MODEL (A mixed-method study to assess service quality of ultrasound departments of private hospitals in Karachi city)
University essay from Göteborgs universitet/Graduate SchoolAbstract : Service quality and customer satisfaction are important concepts that companies need to understand to stay competitive in business and thus grow. Companies need to know how to measure these constructs from the consumer's perspective to understand their needs better and thus satisfy them. READ MORE
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18. Comparison of Machine learningalgorithms on Predicting Churn withinMusic streaming service
University essay from Blekinge Tekniska HögskolaAbstract : Background: Customer churn prediction is one of the most popular part of bigbusinesses and often help the companies in customer retention and revenue generation.Customer churn may lead to huge loss of revenue and is important to analyzeand determine the cause for churn. READ MORE
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19. Retaining Customers in Rapidly Growing Environments : A Study on Customer Retention in High Growth Firms
University essay from Uppsala universitet/Företagsekonomiska institutionenAbstract : Customer retention is crucial for a firms long term success and its application and dynamics are particularly interesting in the context of high growth firms. High growth firms are commonly characterised by having limited resources and operating in constant change in structure and routines which can affect the way the firms are able to work with customer retention. READ MORE
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20. A general deep probabilistic model for customer lifetime value prediction of companies : A unified evaluation metric and analysis of the required historical data for different companies in context of prediction of customer lifetime value
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A comprehensive understanding of customers’ future Lifetime Value (LTV) enables companies to assess the return on marketing investment and may provide a useful tool when determining a company’s value. Furthermore, LTV predictions allow marketers to segment customers based on the predicted LTV and, in turn, effectively allocate marketing resources for acquisition, retention, and cross-selling. READ MORE