Essays about: "customer churn rate"

Showing result 1 - 5 of 8 essays containing the words customer churn rate.

  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 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

  4. 3. Increasing Retention in Insurtechs Through Churn Prediction

    University essay from Lunds universitet/Innovationsteknik

    Author : John Rapp Farnes; Oskar Christiansen; [2021]
    Keywords : Non-life insurance; Property and casualty insurance; Customer retention; Churn prediction; Predictive analytics; Classification; Machine learning; Mathematics and Statistics;

    Abstract : Over the last decades, the Swedish insurance industry has seen decreased entry barriers due to deregulation and emerging new technologies, which have the potential to disturb the stagnated and consolidated competitive landscape of the industry. Initiated by newcomers like American insurance startup Lemonade, and later Swedish Hedvig among others, there is an increased push toward digitalization, transparency, and automation in the industry. READ MORE

  5. 4. Modeling and understanding customers preference for product sustainability information using Machine Learning techniques

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Vedasree Reddy Sapatapu; Apoorva Kothapally; [2021]
    Keywords : Machine Learning; Data Mining; Sustainability; Customer Preference;

    Abstract : Background. Markets nowadays are increasingly competitive as many companies are focusing themselves on minimising their churn rate and maximising their growth rate of customers. READ MORE

  6. 5. Predicting Customer Churn Rate in the iGaming Industry using Supervised Machine Learning

    University essay from KTH/Matematisk statistik

    Author : Lovisa Grönros; Ida Janér; [2018]
    Keywords : ;

    Abstract : Mr Green is one of the leading online game providers in the European market. Their mission is to o˙er entertainment and a superior user experience to their customers. READ MORE