Results 171 to 180 of about 17,450 (209)

Predict Churning Customers – An Explorative Study

2022 17th Iberian Conference on Information Systems and Technologies (CISTI), 2022
Some 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, Pita, Pedro, Brito, Isabel   +2 more
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Employee churn prediction

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, Girish Keshav Palshikar   +1 more
openaire   +1 more source

Enterprise subscription churn prediction

2015 IEEE International Conference on Big Data (Big Data), 2015
In 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, Bibek Panda, Swarnim Narayan, Harshal Godhia   +3 more
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Churn analysis: Predicting churners

Ninth International Conference on Digital Information Management (ICDIM 2014), 2014
Churners 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, Md. Shahriar Hussain, Rashedur M Rahman   +2 more
openaire   +1 more source

Privacy preserving churn prediction

Proceedings of the 2009 ACM symposium on Applied Computing, 2009
Churn 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
openaire   +1 more source

ADTreesLogit model for customer churn prediction

Annals of Operations Research, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou, Y, Li, L, Qi, J, Zhang, L, Liu, Y, Liang, L, Li, H, Shen, Y   +7 more
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Adoption of Churn Recognition System to Predict Customer Churn

2023
In the cutthroat competitive arena, it is a very challenging task for any enterprise to make a balance between retaining its existing loyal customers and attracting new customers. It is a tedious task to find the right segment of active customers and understand the reason behind churn numbers. It is said that it is five times more costly to attract new
Yuvraj Sharma, Rajender Gurram, Naveen Saharan   +2 more
openaire   +1 more source

Predicting player churn in the wild

2014 IEEE Conference on Computational Intelligence and Games, 2014
Free-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 ...
Hadiji, Fabian, Sifa, Rafet, Drachen, Anders, Thurau, Christian, Kersting, Kristian, Bauckhage, Christian   +5 more
openaire   +2 more sources

Predicting Customer Churn at QWE Inc.

Darden Business Publishing Cases, 2017
This case exposes students to predictive analytics as applied to discrete events with logistic regression. The VP of customer services for a successful start-up wants to proactively identify customers most likely to cancel services or “churn.” He assigns the task to one of his associates and provides him with data on customer behavior and his intuition
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Customer churn prediction for retention analysis

Abstract This abstract provides a comprehensive overview of the research on Customer Churn Prediction for Retention Analysis. In today's corporate context, understanding and mitigating customer churn has become critical for long-term success.
Rajesh Saturi, Siripothula Rahul, Zuha Siddiqui, Rachamalla Nikhitha   +3 more
openaire   +1 more source