Sökning: "kundbortfall"

Visar resultat 1 - 5 av 16 uppsatser innehållade ordet 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

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Sammanfattning : 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. LÄS MER

3. 2. A Predictive Analysis of Customer Churn

   Kandidat-uppsats, KTH/Matematisk statistik

   Författare :Olivia Eskils; Anna Backman; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

4. 3. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Amanda Rudälv; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

5. 4. Faktorer som påverkar lojaliteten hos bolåneinstitutens kunder : En prediktiv modell med hjälp av maskininlärning

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Simon Östman; [2022]
   Nyckelord :Lojalitet; Kundbortfall; Maskininlärning; Bolån;

   Sammanfattning : Acquiring new customers implies a certain cost for the banks, so there is a problem when new customers decide to leave the bank, shortly after the onboarding process. This thesis explores which factors, and especially what products and services, that affect the loyalty of new mortgage customers. LÄS MER

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

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

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

   Sammanfattning : 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. LÄS MER