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 Marketing Aanalytics R2322 QR Code
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Marketing Aanalytics



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

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