RFM and CLV: Customer Evaluation and Loyalty
RFM and CLV: Customer Evaluation and Loyalty
In a constantly evolving world, this course empowers you to master the RFM model and CLV analysis for effective customer segmentation and AI-driven marketing automation. Through structured materials and practical examples, you will learn to optimize customer loyalty and transform challenges into opportunities.
Why 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!
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.
Table of Contents
- Module 1: Introduction to the RFM Model – definition of Recency, Frequency and Monetary Value
- 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
Who It’s 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.
- 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.
Course Details
- Duration: 4 hours
- Cost: €400
- Mode: Individual or group sessions
- Group Quotes: Option to request a customized offer for large groups
- Delivery: Online
- Practical Applications: Hands-on exercises and project work included
- Certification: Professional certificate to enhance your CV and LinkedIn profile