Essays about: "customer retention thesis"

Showing result 1 - 5 of 45 essays containing the words customer retention thesis.

1. 1. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Luca Colasanti; [2023]
   Keywords : Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

   Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE

3. 2. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning

   University essay from Lunds universitet/Matematisk statistik

   Author : Magnus Gerde; [2023]
   Keywords : Churn; CLV; SVM; Logistic Regression; Linear Regression; Random Forest Model; Mathematics and Statistics;

   Abstract : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. READ MORE

4. 3. The effects of servicescape on customer satisfaction and possible implications on customer retention within movie theater industry

   University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

   Author : Fareed Ahmedi; Mustafa Al Salhi; Felix Huynh; [2023]
   Keywords : SF Bio; Movie theaters; Cinema; Leisure Service; Servicescape; Strategic Roles of Servicescape; Three Dimensions of Servicescape; Five Servicescape Factors;

   Abstract : Research questions: How does the servicescape in movie theaters, with a particular focus on SF Bio Västerås, influence customer satisfaction and retention, and what are the perceived quality and challenges associated with its implementation? Purpose: The purpose of this study is to explore how movie theaters, such as SF Bio Västerås, use servicescape to influence customer service experience. The study aims to investigate the customers' perceived quality of movie theater servicescape and its impact on customer satisfaction and retention. READ MORE

5. 4. Comparison of Machine learningalgorithms on Predicting Churn withinMusic streaming service

   University essay from Blekinge Tekniska Högskola

   Author : Lahari Gaddam; Sree Lakshmi Hiranmayee Kadali; [2022]
   Keywords : Churn Prediction; Classification Algorithms; Machine Learning; Music Stream; Supervised Learning.;

   Abstract : 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

6. 5. 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)

   Author : Johanna Olnén; [2022]
   Keywords : ;

   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