Essays about: "Thesis on Customer retention"

Showing result 1 - 5 of 39 essays containing the words Thesis on Customer retention.

1. 1. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application

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

   Author : Love Marcus; [2023]
   Keywords : User churn; Customer attrition; Artificial neural networks; Log-level analysis; Random forests; Decision trees; Användarbortfall; Kundbortfall; Artificiella neurala nätverk; logganalys; Slumpskogar; Beslutsträd;

   Abstract : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. READ MORE

3. 2. 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

4. 3. A Predictive Analysis of Customer Churn

   University essay from KTH/Matematisk statistik

   Author : Olivia Eskils; Anna Backman; [2023]
   Keywords : Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

   Abstract : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. READ MORE

5. 4. 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

6. 5. 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