Aim/Purpose: In this paper, we present an RFM model-based telecom customer churn system for better predicting and analyzing customer churn. Background: In the highly competitive telecom industry, customer churn is an important research topic in customer relationship management (CRM) for telecom companies that want to improve customer retention. Many researchers focus on a telecom customer churn analysis system to find out the customer churn factors for improving prediction accuracy. Methodology: The telecom customer churn analysis system consists of three main parts: customer segmentation, churn prediction, and churn factor identification. To segment the original dataset, we use the RFM model and K-means algorithm with an elbow method. We then use RFM-based feature construction for customer churn prediction, and the XGBoost algorithm with SHAP method to obtain a feature importance ranking. We chose an open-source customer churn dataset that contains 7,043 instances and 21 features. Contribution: We present a novel system for churn analysis in telecom companies, which encompasses customer churn prediction, customer segmentation, and churn factor analysis to enhance business strategies and services. In this system, we leverage customer segmentation techniques for feature construction, which enables the new features to improve the model performance significantly. Our experiments demonstrate that the proposed system outperforms current advanced customer churn prediction methods in the same dataset, with a higher prediction accuracy. The results further demonstrate that this churn analysis system can help telecom companies mine customer value from the features in a dataset, identify the primary factors contributing to customer churn, and propose suitable solution strategies. Findings: Simulation results show that the K-means algorithm gets better results when the original dataset is divided into four groups, so the K value is selected as 4. The XGBoost algorithm achieves 79.3% and 81.05% accuracy on the original dataset and new data with RFM, respectively. Additionally, each cluster has a unique feature importance ranking, allowing for specialized strategies to be provided to each cluster. Overall, our system can help telecom companies implement effective CRM and marketing strategies to reduce customer churn. Recommendations for Practitioners: More accurate churn prediction reduces misjudgment of customer churn. The acquisition of customer churn factors makes the company more convenient to analyze the reasons for churn and formulate relevant conservation strategies. Recommendation for Researchers: The research achieves 81.05% accuracy for customer churn prediction with the Xgboost and RFM algorithms. We believe that more enhancements algorithms can be attempted for data preprocessing for better prediction. Impact on Society: This study proposes a more accurate and competitive customer churn system to help telecom companies conserve the local markets and reduce capital outflows. Future Research: The research is also applicable to other fields, such as education, banking, and so forth. We will make more new attempts based on this system.

Aim/Purpose: Previous research has generally concentrated on identifying the variables that most significantly influence customer churn or has used customer segmentation to identify a subset of potential consumers, excluding its effects on forecast accuracy. Consequently, there are two primary research goals in this work. The initial goal was to examine the impact of customer segmentation on the accuracy of customer churn prediction in the banking sector using machine learning models. The second objective is to experiment, contrast, and assess which machine learning approaches are most effective in predicting customer churn. Background: This paper reviews the theoretical basis of customer churn, and customer segmentation, and suggests using supervised machine-learning techniques for customer attrition prediction. Methodology: In this study, we use different machine learning models such as k-means clustering to segment customers, k-nearest neighbors, logistic regression, decision tree, random forest, and support vector machine to apply to the dataset to predict customer churn. Contribution: The results demonstrate that the dataset performs well with the random forest model, with an accuracy of about 97%, and that, following customer segmentation, the mean accuracy of each model performed well, with logistic regression having the lowest accuracy (87.27%) and random forest having the best (97.25%). Findings: Customer segmentation does not have much impact on the precision of predictions. It is dependent on the dataset and the models we choose. Recommendations for Practitioners: The practitioners can apply the proposed solutions to build a predictive system or apply them in other fields such as education, tourism, marketing, and human resources. Recommendation for Researchers: The research paradigm is also applicable in other areas such as artificial intelligence, machine learning, and churn prediction. Impact on Society: Customer churn will cause the value flowing from customers to enterprises to decrease. If customer churn continues to occur, the enterprise will gradually lose its competitive advantage. Future Research: Build a real-time or near real-time application to provide close information to make good decisions. Furthermore, handle the imbalanced data using new techniques.

Visiting India and someone got really intrigued when I told him I have put all personal travel on points over last 13 years. He asked how to do so based in India as an Indian. Are there any blogs like we have in the USA for newbies? My little...

An Enterprise CSP offers enterprise-grade custom AI models for driving growth

Words matter, and people's perceptions shape their opinions and affect their outcomes. How does the language we use affect the recovery for those we serve within the workers compensation system?…

I share why documentation and reporting are essential to help prevent managed service clients leaving.

Source: How To Reduce Managed Service Client Churn - Technibble.com

Christina Warren returns to the show to talk about the drama at Disney, tumult at Twitter, and how the hell to score Taylor Swift tickets.

Last night the 2020 Iowa Democratic Caucus stirred up quite the controversy when it was announced that the results would be delayed due to "inconsistencies" in a new app meant to speed up the reporting results of the caucus. Ironic, to say the least. 

But hang tight, because they're set to be released at 5 pm Eastern Time.

Ahead of the results being released, Pete Buttigieg gave what appeared to be a victory speech last night to the confusion of many. The bizarre move has lead many to believe that the system may have been rigged in Mayor Pete's favor.

As always, we have to give the disclaimer that we're not picking sides; we're merely reporting on what the internet has been saying, so scroll down to see some of our favorite reaction memes and tweets while we all wait impatiently for the results.

Amritadi Churna has been identified as a potent Ayurvedic remedy for medlinkrheumatism/medlink, said Banaras Hindu University (BHU) scientists. The

Racing fans will have to wait until next year to savour the tasty prospect of Lewis Hamilton turning out for Ferrari, but that doesn’t mean 2024 is merely the lull before the storm

BJP defends its 10-year rule against a resurgent Congress

New customizable and personalized utility customer engagement program creates connections at the individual level reduces customer churn rate.

Last night the 2020 Iowa Democratic Caucus stirred up quite the controversy when it was announced that the results would be delayed due to "inconsistencies" in a new app meant to speed up the reporting results of the caucus. Ironic, to say the least. 

But hang tight, because they're set to be released at 5 pm Eastern Time.

Ahead of the results being released, Pete Buttigieg gave what appeared to be a victory speech last night to the confusion of many. The bizarre move has lead many to believe that the system may have been rigged in Mayor Pete's favor.

As always, we have to give the disclaimer that we're not picking sides; we're merely reporting on what the internet has been saying, so scroll down to see some of our favorite reaction memes and tweets while we all wait impatiently for the results.

Clusterfuck Nation For your reading pleasure Mondays and Fridays Support this blog by visiting Jim’s Patreon Page It’s one thing to get sandbagged by a public health crisis ­– a plague being about the worst kind – and quite another for an advanced, complex economy to fall away under your feet like a freight elevator that more »

The post Turning and Churning appeared first on Kunstler.

When Hurricane Sandy hit in 2012, Donald Nesbitt, then a cook at a Brooklyn public school, packed a bag and slept at school so he could continue making food for the many students who relied on him for their regular meals.

Tumblr is a website of thoughts bouncing from one thing to another, filled with Tumblr rabbit holes to fill time and wildly creative thoughts like the idea of an alien invasion being fought off by wildlife. That said, a lot of it is silly puns, weird facts and people being dumb for dumbness sake.

Pharma company’s use of algorithms marks fast-growing trend in big digitally-savvy markets including India

A father removed a massive lump of ear wax from his son's ear while on holiday in Hurghada, Egypt. He soaked his son's ear in baby oil and then resorted to using a pin.

Reddit users, from all over the world, have shared the eye-opening antics of their awful flatmates in an astonishing gallery. Pictures show filth-encrusted toilets to pasta dishes with mould.

WARNING, GRAPHIC CONTENT: The unnamed patient was suffering with ram's horn nail, onychogryphosis. He sought help at a Healthy Feet Podiatry clinic in Florida.

The bi-monthly book review journal Biblio celebrates its 20th anniversary this year. Its founder editors, Darryl D’Monte is one of its founder editors, were invited to the Chandigarh Literature Festival, which was held earlier this month. D’Monte talks about an interesting book discussion he chaired at the festival.