Essays about: "Customer Attrition"
Found 5 essays containing the words Customer Attrition.
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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)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
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2. CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE
University essay from Uppsala universitet/Statistiska institutionenAbstract : 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
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3. Binary Classification for Predicting Customer Churn
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : 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. READ MORE
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4. Customer retention: Recipe for success in SaaS industries : Case study on leading B2B SaaS provider
University essay from KTH/Industriell ManagementAbstract : 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. READ MORE
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5. Predicting Attrition in Financial Data with Machine Learning Algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE