Essays about: "Churn prediction"
Showing result 6 - 10 of 41 essays containing the words Churn prediction.
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6. Machine Learning-based Prediction of Customer Churn in SaaS
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : .... READ MORE
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7. CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE
University essay from Uppsala universitet/Statistiska institutionenAbstract : Customer churn is a critical problem faced by telecom companies, leading to lost revenue and increased marketing costs. In the highly competitive telecommunication sector, customer retention is essential for success. It costs five to seven times more toacquire a new customer than it does to retain an existing one. READ MORE
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8. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : While operating in online markets offers opportunities for expanded assortment and convenience, it also poses challenges such as increased competition and the need to build personal relationships with customers. Customer retention be- comes crucial in maintaining a successful business, emphasizing the importance of understanding customer behavior. READ MORE
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9. 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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10. Player Activity Sequence Analysis Using Process Mining : Player churn prediction and Abnormal player sequences detection using process mining on the data from a live game
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Game analytics is a field that aims to analyze games and help in the enhancement of game development. Data mining is a prominent technique for game analytics. Recent advances in the field of process mining have motivated users to apply process mining to real-world scenarios in order to derive process-oriented insights. READ MORE