Sökning: "User Churn"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden User Churn.

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. Prediction Models for TV Case Resolution Times with Machine Learning

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

   Författare :Borja Javierre I Moyano; [2023]
   Nyckelord :Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

   Sammanfattning : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. LÄS MER

4. 3. Increasing Retention in Insurtechs Through Churn Prediction

   Master-uppsats, Lunds universitet/Innovationsteknik

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

   Sammanfattning : 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. LÄS MER

5. 4. Explaining and Predicting the Loss of Customers for an RSS Feed ReaderApplication

   Kandidat-uppsats, KTH/Matematisk statistik

   Författare :Alexandra Benckert; Danilo Duarte Dos Reis; [2021]
   Nyckelord :;

   Sammanfattning : This thesis within mathematical statistics aimed to investigate the most significant factors in predicting and explaining the cancellation of a customer's subscription for an RSS feed reader. The applied method was logistic regression analysis and the thesis was done in cooperation with the Swedish RSS feed reader company Feeder. LÄS MER

7. 5. Will I Stay or Will I Churn?

   C-uppsats, Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategi

   Författare :William Broman; Philip Eriksson; [2021]
   Nyckelord :churn prediction; neural network; habit; big data; logistic regression;

   Sammanfattning : Big data is transforming the way we understand and predict user behavior. One of these areas is customer churn prediction in mobile apps. This quantitative case study investigates which variables predict churn in a mobile wellness app, for the first week of use. LÄS MER