MODULE 1
Introduction to the RFM Model
definition of Recency, Frequency and Monetary Value
Data and Business Intelligence
Course: RFM and CLV: Customer Evaluation and Loyalty
RFM analysis and CLV offer different perspectives on customer behaviour and value. The course covers purchase data and segmentation models in the context of marketing and loyalty strategies.
Understand. Apply. Evaluate.
Duration4 hours
DeliveryOnline
CertificateProfessional development certificate
Why choose this course.
This course offers you the opportunity to master the RFM model and CLV analysis for highly effective customer segmentation and an innovative AI-driven marketing automation strategy. You will learn to optimize customer retention with modern tools that turn every challenge into an opportunity. Discover the power of strategic analysis and start paving your path to success today!
THE SKILLS
What you will learn.
- RFM analysis to segment customers based on Recency, Frequency, and Monetary value, identifying the most valuable profiles to nurture.
- Calculation and interpretation of the Customer Lifetime Value (CLV) to predict each customer’s long-term economic potential.
- Targeted loyalty strategies to transform at-risk customers into brand advocates and boost overall customer loyalty .
- Practical application of analytical tools and models to optimize marketing decisions and maximize economic returns.
THE PROGRAMME
A course, step by step.
MODULE 2
Customer Segmentation and Evaluation
identifying profitable customers
MODULE 3
Personalizing Marketing Campaigns Based on the RFM Model
MODULE 4
Integrating Artificial Intelligence
automating analysis and predicting purchase behavior
What the course includes
- Practical exercises and project work
- Preventivo per classi ampie: Possibilità di richiedere un'offerta personalizzata per gruppi numerosi
WHO IT IS FOR
Find your starting point.
- Marketing Manager – Manages segmentation and targeting strategies essential for leveraging RFM and CLV data.
- CRM Manager – Oversees customer loyalty and relationships, directly benefiting from CLV analysis techniques.
- Marketing Data Analyst – Analyzes customer data to identify behavioral patterns using the RFM and CLV models.
- Customer Success Manager – Optimizes the customer journey and increases long-term value by utilizing RFM insights.
- Sales Manager – Leverages customer value metrics to enhance sales strategies and improve customer retention.
- Digital Strategist – Combines digital expertise and analytical skills to develop customer-oriented campaigns based on RFM and CLV.
Before you start
Compare the programme with your existing knowledge and tell us your goals. The school can confirm whether the course suits your level.
YOUR QUESTIONS, ANSWERED
Questions about the course.
Who is this course for?
This course is intended for Marketing Manager – Manages segmentation and targeting strategies essential for leveraging RFM and CLV data., CRM Manager – Oversees customer loyalty and relationships, directly benefiting from CLV analysis techniques., Marketing Data Analyst – Analyzes customer data to identify behavioral patterns using the RFM and CLV models., Customer Success Manager – Optimizes the customer journey and increases long-term value by utilizing RFM insights..
How long is the course and how is it delivered?
The stated duration is 4 hours, delivered online. Availability and terms must be confirmed with the school.
How can I request information?
Use the form at the bottom of this page and tell us your goals. Your enquiry will be forwarded to the Business AI School team.
Is a certificate available?
The course page specifies: Professional development certificate. Ask the school to confirm the details of the document issued.
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