INTRODUCTION

Marketing analytics and data-driven decision making is a strategic discipline that enables organizations to measure, analyze, and optimize marketing performance using data insights. In today’s digital economy, marketing is no longer based on intuition alone; it is driven by real-time data, customer behavior analysis, and performance metrics. Organizations that effectively leverage marketing analytics gain a competitive advantage by improving targeting, increasing ROI, and enhancing customer engagement. This course provides a comprehensive understanding of marketing analytics and data-driven decision making.

Modern organizations generate vast amounts of data from digital channels, including websites, social media, email campaigns, customer relationship management systems, and e-commerce platforms. However, data alone is not valuable unless it is properly analyzed and translated into actionable insights. Marketing analytics helps organizations understand customer behavior, evaluate campaign performance, and identify growth opportunities. This course explores how to transform raw data into strategic marketing decisions.

Data-driven decision making involves using quantitative and qualitative data to guide marketing strategies, reduce uncertainty, and improve outcomes. It enables organizations to allocate resources more efficiently, optimize marketing campaigns, and predict future trends. This course examines how analytics tools and frameworks can be used to support strategic marketing planning and execution.

Furthermore, advancements in artificial intelligence, machine learning, and predictive analytics are transforming the marketing landscape. Organizations must develop capabilities to interpret complex datasets and apply insights in real time. Through practical frameworks, case studies, and real-world examples, this course equips participants with the knowledge and skills needed to implement marketing analytics and data-driven decision making effectively.

COURSE OBJECTIVES

By the end of this course, participants will:

• Understand principles of marketing analytics and data interpretation
•  Use data to support marketing strategy and decision making
•  Measure and evaluate marketing performance effectively
•  Improve customer segmentation and targeting strategies
•  Optimize marketing campaigns using data insights
•  Apply predictive analytics for marketing planning
•  Utilize digital analytics tools and platforms
•  Enhance ROI and marketing efficiency
•  Support evidence-based marketing decisions

COURSE OUTLINE

Module 1: Foundations of Marketing Analytics

• Overview of marketing analytics concepts
•  Types of marketing data sources
•  Role of analytics in modern marketing
•  Key performance indicators (KPIs) in marketing

Module 2: Data Collection and Customer Insights

• Customer data collection methods
•  Web analytics and social media metrics
•  CRM and customer database analysis
•  Data quality and governance

Module 3: Marketing Performance Measurement

• Campaign performance tracking
•  Conversion rate optimization
•  Customer acquisition and retention metrics
•  ROI and attribution modeling

Module 4: Data Analysis and Interpretation

• Descriptive, diagnostic, and predictive analytics
•  Data visualization techniques
•  Trend and pattern analysis
•  Customer segmentation using data

Module 5: Predictive and Advanced Analytics

• Forecasting marketing outcomes
•  Machine learning in marketing
•  Customer lifetime value (CLV) modeling
•  Personalization and recommendation systems

Module 6: Data-Driven Strategy and Optimization

• Decision-making frameworks using data
•  Marketing mix optimization
•  Continuous improvement using analytics
•  Case studies on data-driven marketing success

TARGET AUDIENCE

This course is designed for professionals involved in marketing, analytics, and business strategy, including:

• Marketing Managers and Analysts
•  Digital Marketing Specialists
•  Data Analysts and Business Intelligence Professionals
•  Brand and Product Managers
•  Business Development Professionals
•  CRM and Customer Experience Managers
•  Strategy and Planning Professionals
•  Entrepreneurs and Business Owners
•  Marketing Consultants and Data Strategists

VENUE: Kenya

DURATION: 2 Weeks

DATE: Open