AI in Marketing & Sales

Course Category : Soft Skills & Office Management

A practice-oriented programme focused on leveraging AI to enhance marketing and sales performance, optimise customer experience, and maximise revenue through data-driven decision-making.
Duration: 5 Days | Level: Intermediate

Introduction

Artificial intelligence has fundamentally transformed marketing and sales, shifting organisations from mass campaigns to precise targeting and from intuition-based decisions to predictive, data-driven strategies. Competitive advantage now depends on the ability to analyse customer behaviour, automate workflows, and personalise engagement at scale.
This course provides a practical framework for applying AI across marketing and sales functions, covering customer analytics, automation, personalisation, sales forecasting, and performance measurement. Participants will learn how to translate AI capabilities into tangible commercial outcomes..

Targeted Audience

Marketing Managers
Sales Managers
Digital Transformation Managers
Customer Experience Managers
Middle Management Leaders
Marketing and Sales Analysts
Business Unit Heads
Growth and Development Teams

Targeted Skills

AI-Driven Marketing Strategy
Customer Behaviour Analytics and Segmentation
Marketing and Sales Automation
Intelligent Personalisation and CX
Sales Forecasting and Opportunity Management
Performance and ROI Measurement

Expected Outcomes

Understand AI applications in marketing and sales.
Analyse customer data for improved targeting and personalisation.
Apply AI-powered automation to marketing campaigns.
Support sales decisions through forecasting and analytics.
Enhance customer experience using intelligent solutions.
Measure business impact and ROI of AI initiatives.

Training Topics Index

Evolution of AI-driven marketing
From intuition to intelligence
Business value of AI
Marketing–sales data integration
Challenges and risks

Customer data sources
Behavioural analytics
Intelligent segmentation models
Customer journey insights
Data quality considerations

Campaign automation
Content and offer personalisation
AI across marketing channels
Real-time engagement
Personalisation ethics

Sales forecasting models
Lead and opportunity management
Deal probability scoring
Sales analytics support
Risk reduction

Marketing performance metrics
ROI measurement
Dashboards and reporting
Continuous optimisation
Strategic alignment

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
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