Marketing Aanalytics

Overview:

Introduction:

Marketing decisions are now increasingly based on data and insights, making Marketing Analytics an indispensable skill for professionals in this field. This comprehensive 5-day training is designed to equip you with the knowledge and practical skills to leverage data for informed marketing decisions, optimize strategies, and drive better results.

Course Objectives: 

At the end of this course the participants will be able to:

• Understand the fundamental concepts of Marketing Analytics and its significance in modern business.

• Learn how to collect, process, and analyze various types of marketing data.

• Gain proficiency in using popular analytics tools and software for marketing insights.

• Develop the ability to interpret and communicate analytical findings to different stakeholders.

• Discover advanced techniques for segmentation, targeting, and measuring marketing effectiveness.

• Explore real-world case studies to apply analytics to different marketing scenarios.

• Acquire practical skills to optimize marketing campaigns, budgets, and ROI.

• Cultivate a data-driven mindset to enhance decision-making and strategic planning.

Targeted Audience:

• Marketing Managers and Directors

• Digital Marketing Professionals

• Advertising Executives

• Business Analysts

• Market Researchers

• Entrepreneurs and Business Owners

• Anyone looking to enhance their marketing decision-making through data-driven insights.

Course Outlines:

Unit 1: Introduction to Marketing Analytics

• Understanding the role of data in modern marketing

• Types of marketing data and their sources

• Introduction to key analytics concepts and metrics

• Importance of data quality and ethical considerations

Unit 2: Data Collection and Preparation

• Data collection methods: surveys, web analytics, social media data, etc.

• Data cleaning, validation, and transformation

• Exploratory data analysis for marketing insights

Unit 3: Marketing Analytics Tools and Software

• Overview of popular analytics tools (Google Analytics, Adobe Analytics, etc.)

• Introduction to data visualization tools (Tableau, Power BI, etc.)

• Hands-on session: Navigating through analytics interfaces

Unit 4: Customer Segmentation and Targeting

• Importance of customer segmentation in marketing

• Demographic, psychographic, and behavioral segmentation

• Targeting strategies based on segmentation analysis

• Case study: Creating effective buyer personas

Unit 5: Measuring Marketing Effectiveness and Optimization

• Key performance indicators (KPIs) for different marketing goals

• A/B testing and experimentation for campaign optimization

• ROI measurement and attribution modeling

• Case study: Analyzing a multi-channel marketing campaign