Sökning: "Customer attrition"
Hittade 5 uppsatser innehållade orden Customer attrition.
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)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
2. CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE
Magister-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : 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. LÄS MER
3. Binary Classification for Predicting Customer Churn
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : Predicting when a customer is about to turn to a competitor can be difficult, yet extremely valuable from a business perspective. The moment a customer stops being considered a customer is known as churn, a widely researched topic in several industries when dealing with subscription-services. LÄS MER
4. Customer retention: Recipe for success in SaaS industries : Case study on leading B2B SaaS provider
Kandidat-uppsats, KTH/Industriell ManagementSammanfattning : Purpose: The purpose of this study is to examine how changes to the business model of a leading SaaS solution provider by way of altering customer experiences could prevent further customer attrition and instead promote customer retention. This study also aims to clarify the root causes of customer attrition existing within the current customer journey and suggest efforts aimed at increasing customer retention. LÄS MER
5. Predicting Attrition in Financial Data with Machine Learning Algorithms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : For most businesses there are costs involved when acquiring new customers and having longer relationships with customers is therefore often more profitable. Predicting if an individual is prone to leave the business is then a useful tool to help any company take actions to mitigate this cost. LÄS MER