Essays about: "Kundbortfall"

Showing result 1 - 5 of 9 essays containing the word Kundbortfall.

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. 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

4. 3. 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

5. 4. 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

6. 5. Churn prediction using time series data

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

   Author : Patrick Granberg; [2020]
   Keywords : churn time prediction; classification; lstm; gru; rf; svm;

   Abstract : Customer churn is problematic for any business trying to expand their customer base. The acquisition of new customers to replace churned ones are associated with additional costs, whereas taking measures to retain existing customers may prove more cost efficient. READ MORE