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Customer Churn Prediction [PDF]
, 2020 Churned customers identification plays an essential role for the functioning and growth of any business. Identification of churned customers can help the business to know the reasons for the churn and they can plan their market strategies accordingly to enhance the growth of a business. This research is aimed at developing a machine learning model that
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Expert Systems with Applications, 2011
Customer churn is a notorious problem for most industries, as loss of a customer affects revenues and brand image and acquiring new customers is difficult. Reliable predictive models for customer churn could be useful in devising customer retention plans.
V. Vijaya Saradhi +1 more
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Customer churn is a notorious problem for most industries, as loss of a customer affects revenues and brand image and acquiring new customers is difficult. Reliable predictive models for customer churn could be useful in devising customer retention plans.
V. Vijaya Saradhi +1 more
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Predicting player churn in the wild
2014 IEEE Conference on Computational Intelligence and Games, 2014Free-to-Play or "freemium" games represent a fundamental shift in the business models of the game industry, facilitated by the increasing use of online distribution platforms and the introduction of increasingly powerful mobile platforms. The ability of a game development company to analyze and derive insights from behavioral telemetry is crucial to ...
Fabian Hadiji +5 more
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Churn analysis: Predicting churners
Ninth International Conference on Digital Information Management (ICDIM 2014), 2014Churners have always been a big issue for any service providing company. Churning increases cost of the company as well as decreases the rate of profit. Generally, customer attrition can be identified when they initiate the process of service termination.
Navid Forhad +2 more
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A Hybrid Approach to Predict Churn
2010 IEEE Asia-Pacific Services Computing Conference, 2010Acquiring new customers in any business is much more expensive than trying to keep the existing ones. As a result, many prediction algorithms have been proposed to detect churning customers. In this paper, the ordered weighted averaging (OWA) technique is brought to the attention of marketing researchers.
Javad Basiri +2 more
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Customer churn prediction in telecommunication
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015At recent years, estimating the churners before they leave has gained importance in environment of increased competition in company strategy. In this paper, churners are tried to detect by using data mining classification techniques. Attribute reductions are tried for decreasing the runtime and increasing achievement of models and performance was ...
Mumin Yildiz, Songul Albayrak
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Enterprise subscription churn prediction
2015 IEEE International Conference on Big Data (Big Data), 2015In this paper we describe the process of building a churn prediction platform for large-scale subscription based businesses and products. These businesses are constantly innovating on customer retention methods, one of which is to predict which customer will churn in near future.
Ramakrishna Vadakattu +3 more
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Privacy preserving churn prediction
Proceedings of the 2009 ACM symposium on Applied Computing, 2009Churn prediction is an important component of customer retention to predict whether a current customer decides to take business elsewhere or voluntarily terminates service, so marketing campaigns can target at the potential churners for retention efforts. In this paper we provide a strategy to protect customers' privacy in churn prediction.
Shuting Xu, Shuhua Lai, Manying Qiu
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A Comparative Study for Employee Churn Prediction
2021 29th Signal Processing and Communications Applications Conference (SIU), 2021Employees are one of the most critical elements of companies. Unexpected employee turnover causes a huge cost for companies. The new recruitment process not only consumes money and time, but it also takes time for newly hired employees to contribute effectively.
Musa Berat Bahadir +3 more
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Predict Churning Customers – An Explorative Study
2022 17th Iberian Conference on Information Systems and Technologies (CISTI), 2022Some banks and business managers are facing the problem of customer credit card attrition. Therefore, it was necessary to identify new strategies for banks and business managers to keep their customers satisfied. In this paper, we analyze the data from a fictitious data source available on Kaggle, to find out the reason behind this and to predict ...
Ferreira, Tomás +2 more
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