Module 1. Fundamentals of Predictive Loyalty (1 hour) 

• What is predictive loyalty and why is it key to the future of business?
• Differences between traditional loyalty and AI-based loyalty.
• The power of data: how to predict behaviour with advanced analytics
• Key drivers of churn in talent and customers.

Module 2. Predictive Analysis of Talent Retention (3 Hours) 

AI in HR and talent retention

• How to use AI to detect early signs of churn
• Turnover prediction algorithms: how they work and how to apply them.
• Creating personalised retention plans with AI.

Talent retention strategies with AI

• Personalised benefits programmes based on predictive data.
• Using chatbots and AI assistants to improve the employee experience.
• Success stories in talent retention with AI.

Module 3. Predictive Customer Loyalty (3 hours) 

Artificial Intelligence applied to customer experience

• Predictive models to identify customers at risk of churn.
• Personalisation of offers and services with AI.
• Use of Chatbots and virtual assistants to improve customer loyalty.

Retention strategies based on AI

• Implementation of loyalty programmes with predictive data.
• Optimising the customer journey with automation and AI.
• Practical exercises: Creating a loyalty strategy with AI.

Module 4. Implementation and Action Plan (1 hour) 

Creating a predictive loyalty model

• How to build a retention dashboard with AI.
• Key indicators (KPIs) to measure predictive loyalty.
• Recommended tools for predicting churn in talent and customers

Final project and conclusions

• Designing a customised loyalty strategy with AI.
• Evaluation of real cases and future trends.
• Certification and access to complementary materials