This document discusses churn management in mobile communications. It defines churn as customer attrition or loss and churn rate as the number of customers who discontinue service divided by the total number of customers. It identifies reasons for churn such as easy switching between providers and inadequate services. It discusses types of churn, data transformation for modeling, identifying customers' propensity to churn, and calculating customer profitability. Finally, it outlines strategies for reducing churn such as identifying valuable customers and developing win-back policies.
Slides from the presentation of this NYC meetup : http://www.meetup.com/Data-Modeling/events/224554990/
I talked about how to model churn before even thinking about the machine learning model.
Customer churn occurs when customers or subscribers stop doing business with a company or service.
Also known as customer attrition, customer churn is a critical metric because it is much less expensive to retain existing customers than it is to acquire new customers – earning business from new customer’s means working leads all the way through the sales funnel, utilizing your marketing and sales resources throughout the process.
Introducing Customer Churn Prevention Powerpoint Presentation Slides. Discuss various ways through which a company can manage customer churn with this PPT slide deck. Showcase methods and ways by which a company can prevent the customer from reducing their purchase of products and services. Our readily available PPT slide deck helps to present the types of customer churn, methods to handle customer attrition, the impact of successful implementation of churn management, dashboard, churn propensity model, etc. Take the assistance of customer churn management PPT slideshow to depict several ways by which a firm can experience customer churn such as when customers stop spending, churn due to product quality, etc. Showcase four stages of customer churn management which allow the company to handle customer attrition. Present how the firm can prevent customer churn by using customer churn analysis PPT infographics. You can easily highlight information about the various marketing campaigns in order to retain its customer from churning. Provide ways to prevent churn through predictive analysis by incorporating our professionally designed customer churn prediction PPT presentation. https://bit.ly/3p6AR7S
Slides from the presentation of this NYC meetup : http://www.meetup.com/Data-Modeling/events/224554990/
I talked about how to model churn before even thinking about the machine learning model.
Customer churn occurs when customers or subscribers stop doing business with a company or service.
Also known as customer attrition, customer churn is a critical metric because it is much less expensive to retain existing customers than it is to acquire new customers – earning business from new customer’s means working leads all the way through the sales funnel, utilizing your marketing and sales resources throughout the process.
Introducing Customer Churn Prevention Powerpoint Presentation Slides. Discuss various ways through which a company can manage customer churn with this PPT slide deck. Showcase methods and ways by which a company can prevent the customer from reducing their purchase of products and services. Our readily available PPT slide deck helps to present the types of customer churn, methods to handle customer attrition, the impact of successful implementation of churn management, dashboard, churn propensity model, etc. Take the assistance of customer churn management PPT slideshow to depict several ways by which a firm can experience customer churn such as when customers stop spending, churn due to product quality, etc. Showcase four stages of customer churn management which allow the company to handle customer attrition. Present how the firm can prevent customer churn by using customer churn analysis PPT infographics. You can easily highlight information about the various marketing campaigns in order to retain its customer from churning. Provide ways to prevent churn through predictive analysis by incorporating our professionally designed customer churn prediction PPT presentation. https://bit.ly/3p6AR7S
The importance of this type of research in the telecom market is to help companies make more profit.
It has become known that predicting churn is one of the most important sources of income to Telecom companies.
Hence, this research aimed to build a system that predicts the churn of customers i telecom company.
These prediction models need to achieve high AUC values. To test and train the model, the sample data is divided into 70% for training and 30% for testing.
Customer churn prediction for telecom data set.Kuldeep Mahani
Customer churn prediction and relevant recommendations as per DSN telecom data analysis. Random forest and logistic regression were applied to predict customer churn.
I have done this analysis using SAS on a dataset with 5000 records. I have used CART and Logistic regression to build a predictive model to identify customers which are likely to shift to competitors network.
BigData Republic teamed up with VodafoneZiggo and hosted an meetup on churn prediction.
Telecom companies like VodafoneZiggo have long benefited from the fine art/science of predicting churn. Currently, in the booming age of subscription based business models (e.g. Netflix, Spotify, HelloFresh), the importance of predicting churn has become widespread. During this event, VodafoneZiggo shared some of its wisdom with the public, after which BDR Data Scientist Tom de Ruijter presented an overview of the modeling tools at hand, both classical, as well as novel approaches. Finally, the participants engaged in a hands-on session showcasing the implementation of different approaches.
PART 1 — Churn Prediction in Practice by Florian Maas
At VodafoneZiggo we are incredibly excited about Advanced Analytics and the enormous potential for progress and innovation. In our state of the art open source platform we store the tremendous amount of data that is generated every single second in our mobile and fixed networks. This means that we have a vast body of rich information, which if unlocked, can lead to something very special. As a company with a primarily subscription-based service model, churn plays a vital role in the daily business. Not only is the churn rate a good indicator of customer (dis)satisfaction, it is also one out of two factors that determines the steady-state level of active customers. During this talk, we will show how data science provides added value in the process of churn prevention at VodafoneZiggo. We will talk about the data and the modeling approach we use, and the pitfalls and shortcomings that we have encountered while building the model. We will also briefly discuss potential improvements to the current approach, which brings us to talk #2.
PART 2 — The Churn Prediction Toolbox by Tom de Ruijter
The second talk will show you the fine intricacies of predicting churn through different approaches. We’ll start off with an overview of different modeling strategies for describing the problem of churn, both in terms of a classification problem as well as a regression problem. Secondly, Tom will give you insights in how you evaluate a churn model in a way such that business stakeholders know how to act upon the model results. Finally, we’ll work towards the hands-on session demonstrating different model approaches for churn prediction, ranging from classical time series prediction to recurrent neural networks.
Narmada Computers is a company which deals in Website Design and Development-Commerce Development Solutions, software development, open source development ,Steps, Tips and Detailed: How to Get A New website, Market survey, New product development includes promotion, marketing, selling of new product.
Customer Churn Management For Profit Maximization PowerPoint Presentation SlidesSlideTeam
The PowerPoint template allows firm in preventing its customers from reducing their purchase of products and services. It will help firm by providing various ways through which firm can manage their customer churn. It will cover details about churn propensity model. The template covers details about key statistics associated to customer churn. It covers details about present situation of customer attrition and customer churn rate on monthly basis. Customer churn is considered as critical issue which affect firms overall firm performance, due to which firm will incur heavy losses in terms of abandon purchases and lower revenues. It is to be noted that retaining customer is more profitable than acquiring new customers. The template will cover information regarding various types of customer churn such as when customer stops spending, churn due to product quality or complete customer account loss. The template will provide details about how firm will handle customer attrition by focusing on four stages of churn management by acquiring churned customers, delighting customers, preventing customer attrition, and saving customers through various campaigns. The template covers details about churn propensity model which will help preventing customer churn through predictive analytics by utilizing different statistical techniques such as machine learning. https://bit.ly/36qQZKg
Metrinomics Global Consumer Survey 2010 - Mobile MarketMetrinomics
White paper on mobile phone usability and its impact on the telecom operators' revenues. The paper highlights major challenges that the telecom business currently faces in the area of mobile handsets, and provides some practical recommendations on how telecom operators can address them.
The importance of this type of research in the telecom market is to help companies make more profit.
It has become known that predicting churn is one of the most important sources of income to Telecom companies.
Hence, this research aimed to build a system that predicts the churn of customers i telecom company.
These prediction models need to achieve high AUC values. To test and train the model, the sample data is divided into 70% for training and 30% for testing.
Customer churn prediction for telecom data set.Kuldeep Mahani
Customer churn prediction and relevant recommendations as per DSN telecom data analysis. Random forest and logistic regression were applied to predict customer churn.
I have done this analysis using SAS on a dataset with 5000 records. I have used CART and Logistic regression to build a predictive model to identify customers which are likely to shift to competitors network.
BigData Republic teamed up with VodafoneZiggo and hosted an meetup on churn prediction.
Telecom companies like VodafoneZiggo have long benefited from the fine art/science of predicting churn. Currently, in the booming age of subscription based business models (e.g. Netflix, Spotify, HelloFresh), the importance of predicting churn has become widespread. During this event, VodafoneZiggo shared some of its wisdom with the public, after which BDR Data Scientist Tom de Ruijter presented an overview of the modeling tools at hand, both classical, as well as novel approaches. Finally, the participants engaged in a hands-on session showcasing the implementation of different approaches.
PART 1 — Churn Prediction in Practice by Florian Maas
At VodafoneZiggo we are incredibly excited about Advanced Analytics and the enormous potential for progress and innovation. In our state of the art open source platform we store the tremendous amount of data that is generated every single second in our mobile and fixed networks. This means that we have a vast body of rich information, which if unlocked, can lead to something very special. As a company with a primarily subscription-based service model, churn plays a vital role in the daily business. Not only is the churn rate a good indicator of customer (dis)satisfaction, it is also one out of two factors that determines the steady-state level of active customers. During this talk, we will show how data science provides added value in the process of churn prevention at VodafoneZiggo. We will talk about the data and the modeling approach we use, and the pitfalls and shortcomings that we have encountered while building the model. We will also briefly discuss potential improvements to the current approach, which brings us to talk #2.
PART 2 — The Churn Prediction Toolbox by Tom de Ruijter
The second talk will show you the fine intricacies of predicting churn through different approaches. We’ll start off with an overview of different modeling strategies for describing the problem of churn, both in terms of a classification problem as well as a regression problem. Secondly, Tom will give you insights in how you evaluate a churn model in a way such that business stakeholders know how to act upon the model results. Finally, we’ll work towards the hands-on session demonstrating different model approaches for churn prediction, ranging from classical time series prediction to recurrent neural networks.
Narmada Computers is a company which deals in Website Design and Development-Commerce Development Solutions, software development, open source development ,Steps, Tips and Detailed: How to Get A New website, Market survey, New product development includes promotion, marketing, selling of new product.
Customer Churn Management For Profit Maximization PowerPoint Presentation SlidesSlideTeam
The PowerPoint template allows firm in preventing its customers from reducing their purchase of products and services. It will help firm by providing various ways through which firm can manage their customer churn. It will cover details about churn propensity model. The template covers details about key statistics associated to customer churn. It covers details about present situation of customer attrition and customer churn rate on monthly basis. Customer churn is considered as critical issue which affect firms overall firm performance, due to which firm will incur heavy losses in terms of abandon purchases and lower revenues. It is to be noted that retaining customer is more profitable than acquiring new customers. The template will cover information regarding various types of customer churn such as when customer stops spending, churn due to product quality or complete customer account loss. The template will provide details about how firm will handle customer attrition by focusing on four stages of churn management by acquiring churned customers, delighting customers, preventing customer attrition, and saving customers through various campaigns. The template covers details about churn propensity model which will help preventing customer churn through predictive analytics by utilizing different statistical techniques such as machine learning. https://bit.ly/36qQZKg
Metrinomics Global Consumer Survey 2010 - Mobile MarketMetrinomics
White paper on mobile phone usability and its impact on the telecom operators' revenues. The paper highlights major challenges that the telecom business currently faces in the area of mobile handsets, and provides some practical recommendations on how telecom operators can address them.
- Understand the mobile industry trends, market structure, cost drivers, pricing models, and the evolution of subscriber base and revenues.
- Case study: Vodafone Egypt
A new wave of MVNOs with innovative business models is launching in the US. In this Viewpoint, Cartesian discusses the merits, drawbacks, and likely future of these MVNOs.
[Infographic] Indoor Small Cells - Meeting Current and Future Communication N...Cisco Service Provider
During the most chaotic of times, when clear, rapid communication isn't just a luxury but an absolute necessity, Small Cell technology makes all the difference.
When one phone call can be tantamount to life or death, a secure, reliable connection and accurate transmission of location information are of the utmost importance.
And Small Cell technology plays an important role in so many other facets of our lives--from when we set foot into our office during the weekday, to when we stop at the mall or enjoy a sports game on the weekends.
To learn more about the current and future role of Small Cells in addressing the growing needs of the public and private sector for greater voice and data coverage and capacity indoors, go to: http://www.cisco.com/go/smallcell
Strategic Analysis of Airtel Limited in Indian Telecom Sectorrajinderpal_12
The whole presentation depicts the Strategic Analysis of Airtel Limited in Indian Telecom sector. Here we talk about gradual evolution of Indian Telecom sector and growth of Airtel against its competitor. It also covers the internal value analysis of Airtel - Resource Based View.
It is really informative for anyone interested to know about Airtel and Indian Telecom sector.
Thanks
Rajinder
The ultimate public safety broadband solution is a blue ocean oneJuhani Lehtonen
For too long, public safety operations have been in need of good broadband solutions for use in critical situations. This situation has arisen because narrow band digital solutions can no longer provide the bandwidth required by modern operations and applications, despite continuing investment. The obvious and old fashioned solution to enable broadband would be to build dedicated broadband networks for public safety. Many still think this is the solution for the modernization of these services. There have been demands for huge public funding as well as dedicated frequencies. This is the old business model.
In this white paper I will point out another solution. The world has changed a lot since the first digital PMR networks were built. A new business model and a technological solution that saves money in investment, operations and will perform better. A ‘Blue Ocean’ alternative that is likely to be the one implemented everywhere.
mobile PHONE INDUSTRY COMPANY’S MARKETING STRATEGYMr Nyak
N CELLULAR PHONE INDUSTRY
COMPANY’S MARKETING STRATEGY Keywords - Competition, Porter. M analysis of 5 forces, Marketing strategy, market leader,
market challenger, market follower
I. INTRODUCTION
However it’s been only over 10 years since cellular phone industry has developed in
Mongolia, marketing activities have already been formed and considered as a very
special market. Customer satisfaction level, firm’s effectiveness and to be considered as
a market leader are all dependable on marketing management activities. The bitter the
rivalry is the more demanding the consumers are and their expectations’ level will be
higher. According to that, firms’ customer retaining policy and finding new consumers’
have intensified. Thus, studying about competitor’s activity and strategy theoretically
and using the information about competitors in own company’s activities have become
very important issue to marketers.
1. Churn Management
in
Mobile Communications
Led by
Dr. E. Xevelonakis
2. Definitions
Churn
Term used to describe customer attrition or loss
Churn rate
The number of participants who discontinue
their use of a service divided by the average
number of total participants during a period
SunTel Mobile Telecommunications Slide 2/19
4. Reasons for churn
Easy to switch provider
Difficult to manage the customer data
Inadequate services
Quality of service
Plenty of attractive offers
Customer dissatisfaction
SunTel Mobile Telecommunications Slide 4/19
5. Types of churn
Involuntary
Internal
Voluntary
Need to focus
SunTel Mobile Telecommunications Slide 5/19
6. Data Transformation
Data identification
Data collection
Validation & Cleaning
Transpose to right granularity
Addition of derived variables
Preparation of Model Set
Conduct Modelling
SunTel Mobile Telecommunications Slide 6/19
7. Propensity to Churn
Changes in spending or payment patterns
Recurrent or multiple problems or queries
SunTel Mobile Telecommunications Slide 7/19
8. Customer profitability
calculation
completed calls
call forwarding
failed calls
customer care calls
voice calls
directory info
data calls
SunTel Mobile Telecommunications Slide 8/19
9. Churn reduction
Identify customer’s value
Plan a profitable marketing strategy
Point out clients most likely to defect
Develop win-back policy for worthwhile
customers
SunTel Mobile Telecommunications Slide 9/19
10. Data Set & Variables (1/2)
Race / Origin
Current Age
Occupation
Geographic Locale or Major City
Number of households at address
Length of service
Lifetime average minutes usage
SunTel Mobile Telecommunications Slide 10/19
11. Data Set & Variables (2/2)
Average monthly calls (lifetime)
Average monthly minutes (completed voice)
Recent change in monthly minutes
Days since last retention call
Range of monthly recurring charges
Handset price
SunTel Mobile Telecommunications Slide 11/19
12. Decision Trees or Neural
Networks?
Decision Trees
Decision trees
customer classification
easier to use
Neural Networks
Neural networks
hidden pattern recognition
less costly
more advanced
SunTel Mobile Telecommunications Slide 12/19
13. Premium customers
Characteristics
Long duration / high cost calls
Demand high quality of service
Churn due to network incapability / high
cost
Strategy
Free talking time
Gift mobile devices
SunTel Mobile Telecommunications Slide 13/19
14. Classic customers
Characteristics
Excessive SMS usage
Short duration of calls
Unstable user group
Churn due to competitors’ better offers
Strategy
Special prepaid cards
SMS offers
Discounts in new handsets
SunTel Mobile Telecommunications Slide 14/19
15. Strategy
Keep both groups
Classic customers represent clients’ majority
Premium customers have
high customer value
Design different market models
for each group
SunTel Mobile Telecommunications Slide 15/19
17. Latency effect
Need for immediate action
Undesired rise in churn rates
More dissatisfied customers
SunTel Mobile Telecommunications Slide 17/19
18. Telecommunications in
Greece
1/1/1996 Deregulation
4 major companies
3rd place worldwide in
handset possession
11,8 million connections
Low usage
Elastic market
13% of the market comes
from data transmission
SunTel Mobile Telecommunications Slide 18/19
19. Greek market strategies
Incentives to use new technologies
Special economic programs
Discounts in handsets
Billing discounts
Advertisement
SunTel Mobile Telecommunications Slide 19/19