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Customer Segmentation and Churn Prediction

Customer Segmentation and Churn Prediction

Advanced | 5 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title Customer Segmentation and Churn Prediction
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Introduction:

In today's competitive landscape, understanding customer behavior and predicting churn is crucial for maintaining customer satisfaction and maximizing profitability. This course focuses on customer segmentation techniques and churn prediction models, equipping participants with the skills to effectively segment customers based on behavior and demographics, as well as predict churn and implement retention strategies.

Duration: 5 days

Target Audience:

Marketing analysts, customer relationship managers, and professionals involved in customer segmentation and retention strategies within banking and financial institutions.

Organizational Impact:

  • Enhanced Customer Understanding: Organizations will benefit from a deeper understanding of their customer base through effective segmentation, leading to improved targeting of marketing efforts and personalized customer experiences.
  • Reduced Churn Rates: Implementation of churn prediction models and retention strategies will result in reduced customer churn rates, leading to increased customer retention and long-term profitability.
  • Optimized Resource Allocation: By identifying high-value customer segments and prioritizing retention efforts, organizations can optimize resource allocation and improve overall marketing ROI.

Personal Impact:

  • Advanced Skills in Customer Analytics: Participants will develop advanced skills in customer segmentation, churn prediction, and retention strategies, enhancing their expertise in customer analytics and marketing.
  • Enhanced Decision-Making Abilities: Participants will be equipped with the tools and techniques to make data-driven decisions regarding customer segmentation, churn prediction, and retention strategies, leading to improved marketing effectiveness and customer satisfaction.
  • Career Advancement: Armed with skills in customer segmentation and churn prediction, participants will be well-positioned to pursue career advancement opportunities in marketing analytics, customer relationship management, and related roles within banking and financial institutions.

Course Objectives:

  1. Understanding Customer Segmentation: Participants will gain insights into customer segmentation methodologies, including demographic segmentation, behavioral segmentation, and psychographic segmentation.
  2. Clustering Analysis: Participants will learn clustering techniques for segmenting customers based on similarities in behavior and characteristics.
  3. Customer Lifetime Value Prediction: Participants will explore techniques for predicting customer lifetime value, including cohort analysis, customer RFM analysis, and predictive modeling.
  4. Churn Prediction Models: Participants will gain proficiency in building churn prediction models using machine learning algorithms, survival analysis, and customer attrition modeling.
  5. Retention Strategies: Participants will develop strategies for reducing customer churn and improving customer retention through targeted marketing campaigns, loyalty programs, and personalized offers.
02

Course Modules

Course Outline:

Module 1: Introduction to Customer Segmentation

  • Overview of customer segmentation and its importance in marketing
  • Types of customer segmentation: demographic, behavioral, psychographic

Module 2: Clustering Analysis for Customer Segmentation

  • Introduction to clustering techniques: K-means clustering, hierarchical clustering
  • Clustering validation methods: silhouette score, elbow method
  • Case studies and practical exercises on customer segmentation using clustering analysis

Module 3: Customer Lifetime Value Prediction

  • Understanding customer lifetime value (CLV) and its significance in marketing
  • Techniques for predicting customer lifetime value: cohort analysis, RFM analysis
  • Building predictive models for CLV estimation

Module 4: Churn Prediction Models

  • Overview of churn prediction and customer attrition modeling
  • Survival analysis techniques for modeling customer churn
  • Building churn prediction models using machine learning algorithms: logistic regression, random forests, gradient boosting

Module 5: Retention Strategies and Implementation

  • Developing retention strategies based on churn prediction insights
  • Implementing targeted marketing campaigns and personalized offers
  • Case studies and practical exercises on implementing retention strategies to reduce customer churn.
03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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2026 Schedules
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Kigali
Addis Ababa
Kuala Lumpur
Accra
Pretoria
Cape Town
Johannesberg
Cairo
Arusha
Machakos
Zanzibar
Kisumu
Nakuru
Mombasa
Nairobi
Naivasha
Kampala
Dubai