Essays about: "customers churn"

Showing result 1 - 5 of 40 essays containing the words customers churn.

  1. 1. 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

  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. CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Nayema Taskin; [2023]
    Keywords : Telecommunication; Customer Retention; Churn Prediction; Machine Learning.;

    Abstract : 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

  5. 4. 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 statistik

    Author : Amanda Rudälv; [2023]
    Keywords : Customer behavior; E-commerce; Churn prediction; Statistical model; Machine learning; Random forest; Logistic regression; Feature importance; Kundbeteende; E-handel; Kundbortfall; Statistisk modell; Maskininlärning; Random forest; Logistisk regression; Variabelsignifikans;

    Abstract : 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

  6. 5. Customer acquisition and onboarding at an online grocery company

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Ida Borg; [2022]
    Keywords : retention; churn; customer acquisition; customer onboarding; logistic regression; extreme gradient boosting model; bibehållande av kunder; kundbortfall; kundförvärv; kundonboarding; logistisk regression; exteme gradient boosting model;

    Abstract : The master thesis is carried out in a collaboration with a Swedish online grocery company. The goal of the thesis is to investigate if it is possible to explain the underlying factors that affect new customers to be retained. READ MORE