The Telco Churn Management Handbook PDF Download
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Author: Rob Mattison
Publisher: Lulu.com
ISBN: 1411652037
Category : Technology & Engineering
Languages : en
Pages : 392
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Book Description
Definitive guide to customer loyalty, its diagnosis, management, and improvement available to the telecommunications professional. Industry veteran, Rob Mattison, shares his expertise. The book explains tools and techniques for a coherent telecom business strategy. It is a very readable text that communicates the core ideas effectively. Highly recommended for telecom execs.
Author: Rob Mattison
Publisher: Lulu.com
ISBN: 1411652037
Category : Technology & Engineering
Languages : en
Pages : 392
Get Book Here
Book Description
Definitive guide to customer loyalty, its diagnosis, management, and improvement available to the telecommunications professional. Industry veteran, Rob Mattison, shares his expertise. The book explains tools and techniques for a coherent telecom business strategy. It is a very readable text that communicates the core ideas effectively. Highly recommended for telecom execs.
Author: Rob Mattison
Publisher: Apdg Publishing
ISBN: 9781893970052
Category : Customer relations
Languages : en
Pages : 0
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Book Description
Telecom Churn Management, The Golden Opportunity explains how and why churn is managed today. It discusses the Tele-centric (Customer Centric Telecommunications) model for customer management. The book provides the key Analytics that can give your company the competitive advantage. The key first step is recombinant segmentation (identification). Using extended behavioral segmentation (categorization), carriers can produce a customer value function (valuation). Churn models and indexes can be used to determine the projected churn rates (Anticipation). Using key metrics and a WAR Gameboard, the profit levels for customers can be evaluated and maximized. Managers of successful telecom service providers need to understand why customers leaving and what makes telecom churn so special. Successful telecom managers have developed churn management strategies to help them making wise churn investment decisions that give them quick and effective churn response options. By understanding that customers have key telecom consumer shopping cycles and response models, churn management can be turned into an operational perspective. It is a well-known fact that telecommunication technology and services are continually changing. Industry veteran Rob Mattison shares his expertise typical interconnection arrangements for pubic and private telephone systems, data networks, inter-exchange systems, wireless, billing and customer care systems. If there were one book you could use to help understand and develop and telecom churn management programs, "Telecom Churn Management" is the best choice.
Author: Arthur Middleton Hughes
Publisher: Racom Communications
ISBN: 9781933199085
Category : Business & Economics
Languages : en
Pages : 281
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Book Description
For the past quarter-century the Telecom industry in the US has been a veritable laboratory of business and marketing practice. The truth of such well-known ideas as ""Creative Destruction"" are being borne out as companies rise and fall in wave after wave of innovation, while the limits of others, such as product bundling, are also demonstrated every day. The result has been a Wild West of marketing activity that only intensifies as the changes continue. Intense competition is forcing prices down and will certainly eventually lead to the destruction of several large household-word telecom companies. Who will survive? Industry expert Arthur Middleton Hughes explains what these Telecom enterprises can do to continue to exist. Their salvation rests not in their technologies, Hughes explains, but in their marketing strategies. In highly readable, everyday language, Hughes provides a strategic marketing map for every player in the industry, showing how to apply sophisticated marketing tools to each industry sector and each technology.
Author: Roland Merheb
Publisher:
ISBN:
Category : Labor turnover
Languages : en
Pages : 152
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Book Description
Customer acquisition and retention a concern for all industries, but it is particularly acute in the strongly competitive and now broadly liberalized telecommunications industry. In the last couple of years telecom churn has become a key lever with direct impact on revenues and performance in both emerging and mature markets. Churn management is the concept of identifying those customers who are intending to move their custom to a competing service provider. Once identified, these customers can be targeted with proactive marketing campaigns for retention efforts. Many techniques have emerged for the purpose of prediction churn in general and specific for the purpose of predicting churn in telecom. It is clear that it is not enough to produce a churn prediction model only it is very necessary to fully understand the underlying reasons driving churn. What is needed are models that not only predict but give an understanding of the root causes of churn. The aim of this thesis is to identify the most suitable linguistic model for churn prediction in the wireless telecommunication industry in order not only to identify customers with the intention of churning but also to seek out the root causes of their churn. This will be done by identifying the attributes that affect churn in telecoms and two prediction models for the problem specified – Fuzzy Decision Trees and Pattern Trees.
Author: Tianpei Xu
Publisher: Overseas Chinese Press
ISBN: 9781639311422
Category :
Languages : en
Pages : 0
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Book Description
Owing to fierce competition among telecom companies, customer churn is inevitable and it is known that the cost of retaining existing customers is 5-10 times lower than the cost of obtaining new customers. The competitive telecom industry requires telecom companies to use Customer Relationship Management (CRM) to analyze customer churn. CRM analysts need to predict customer churn and understand the reasons for churn. In this dissertation, a CRM system which consists of an ensemble prediction system and a customer churn analysis system is proposed. An ensemble prediction system is composed of a stacking model and soft voting. XGBoost, Logistic Regression, Decision Tree, and Bayesian machine learning algorithms are used to develop a stacking model with two levels, and the three outputs of the second level are used for soft voting. The feature construction of the churn dataset is a process which builds new features from the original dataset by the grouping of customer behavior features to increase the feature space and discover potential information. Using four evaluation measures, the stacking model is examined with the original and new churn datasets. The results show that the proposed customer churn analysis system achieves 96. 1% and 98% accuracy for the original churn dataset and the new churn dataset, respectively. And it has a much better performance compared to other recent search results.
Author: Karen G. Strouse
Publisher: Artech House
ISBN: 9781580538558
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
Offering telecom service providers a survival strategy based on customer-centered marketing, this forward-looking resource helps strategic planners and managers assess their company's market potential and target desirable segments successfully.
Author: Maureen Rhemann
Publisher:
ISBN: 9781890154172
Category : Markedsføringsstrategi
Languages : en
Pages : 0
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Book Description
The telecom industry is undergoing unprecedented upheaval as the entire world deregulates and monopolies break apart. This guidebook will help telecom managers compete successfully.
Author: Klepac, Goran
Publisher: IGI Global
ISBN: 1466662891
Category : Computers
Languages : en
Pages : 326
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Book Description
"This book provides an in-depth analysis of attrition modeling relevant to business planning and management, offering insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytic tools"--Provided by publisher.
Author: Yingwen Ren
Publisher:
ISBN:
Category :
Languages : en
Pages : 37
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Book Description
With the rapid growth in the telecom market, there is an emerging trend to focus on customer retention, which is a critical factor for designing future customer incentive strategies to help a company manage customer relationships. Our main contribution is to build an effective churn prediction system for a telecom company providing real-time communication to predict whether a customer may cease to do business with the company, i.e., stop using the service provided by the company to make phone calls. Due to the dynamic market environment, developing such a system is challenging, as it should not involve frequent retraining processes, leading to a high computational cost. Many different techniques are available to identify customers who are most likely to leave, however, which technique is the most suitable and applicable in practice is not clear because the performance of prediction methods depends heavily on the characteristics of the data. In our thesis, we implemented and evaluated two methods, namely MLP (Multilayer Perceptron) and WTTE-RNN (Weibull Time To Event Recurrent Neural Network), and the model evaluation is based on accuracy and computational cost. We conducted experiments on the real-world dataset containing customer call activity records, experimental results demonstrate that the model performance of MLP is better than the WTTE-RNN, achieving a higher AUC, precision, and Recall. Considering the computational cost, the WTTE-RNN takes more time than the MLP as the WTTE-RNN needs to be retrained, it cannot be directly applied for new data. Furthermore, a detailed feature engineering process was presented in our project, especially how to extract temporal call behavior from raw data. A user-friendly interface was implemented, in order to let users better use our churn prediction system.
Author: Anne-Sophie Hadaschik
Publisher:
ISBN:
Category :
Languages : en
Pages : 55
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Book Description
The increasing occurrence of customer churn that implies customers' discontinuation of their current relationship with a service provider, has forced many companies in competitive markets to redirect their strategic focus to consider customer acquisition and customer retention equally. In particular, in the telecommunication industry a high degree of saturation and competition contributed to ever increasing churn rates. However, resources of marketing managers to develop valid churn prediction and retention techniques are finite. The aim of this study is to identify customers which are likely to churn with a constrained and thus limited set of characteristics. Therefore, this study investigates the churn behavior of customers of a German telecommunication company. The study's finding underline the usefulness of logistic regression when building a churn prediction model. Furthermore, the research shows that a limited number of explanatory variables are sufficient to predict churn with proficient accuracy so that companies may carry out suitable actions to prevent customer churn. In detail, the study identifies a distinct correlation between customer churn behavior and attributes of customer contract history, as well as certain demographic variables. In order to focus on profitable customers when managing churn, a classification approach is computed to improve marketing spending. This thesis encourages companies to justify or expand measurements against churn by proposing an easier and more cost-effective means for customer churn prediction.
