1 day course 
Certificate of Attendance 
Classroom, Virtual, Private This course is designed to help you harness the power of your marketing data to improve campaign performance. You’ll explore how data analytics can be applied to real-world marketing scenarios through practical use cases led by our analytics experts.
Throughout the day, you’ll dive into key concepts such as performance metrics, audience segmentation, A/B testing, attribution modelling, and predictive analytics. Our trainers will present various data analytics applied to marketing data using concrete use cases.
By the end of the session, you’ll know how to analyse your marketing data more effectively, make smarter budget decisions, and use insights to drive stronger business outcomes.
Our Data Analytics for Marketing course is available as a scheduled session at our training centre in The Shard, London, or via Virtual Classroom. We also offer it as a private course, delivered virtually, at your offices, ours, or any location that works best for you, whether in the UK or internationally.
Course overview
Who should attend:
This introductory course is ideal for digital marketers and data analytics professionals who would like to better understand how to analyse marketing data. Minimal technical knowledge is required - just come with an open mind!
What you'll learn:
By the end of this course, you will be able to:
- Understand the different types of marketing data available
- Understand the different types of marketing data analysis
- Use marketing data to drive performance
Course agenda
- Data types in Marketing
- Overview of performance metrics
- Building a comprehensive marketing measurement plan
- Introducing the three pillars of SEO
- Audiences data types
- Principle of audiences segmentation
- Audience Analysis use cases and examples
- Principles of A/B testing
- A/B testing use cases and examples
- Principles of Attribution modeling
- Challenges of Attribution
- How to use marketing Attribution analysis
- Principles of machine learning & predictive modeling
- Customer lifetime value analysis
- Overview of other predictive analysis examples
Next Steps:
Looking for the next step in your analytics journey after taking this course? Take a look at our Data Storytelling: Visualising your Analytics Data course, or Looker Studio (formerly Data Studio) course.