This course is designed to give you a guided tour of key analytics tools and how they can be used to measure and optimise the performance of your website and app.
Throughout the session, our analytics experts will walk you through different types of analytics products, highlighting the unique benefits of each and how they can complement one another in a complete measurement strategy.
By the end of the course, you’ll be equipped with the knowledge to confidently choose the analytics tools that best suit your needs; and know exactly what to look for before making your choice.
This Building your Product Stack for Analytics course is available as a private session that can be delivered via Virtual Classroom or at a location of your choice across the US.
Course overview
Who should attend:
This beginner-friendly course is ideal for website owners or analytics professionals who would like to learn more about the data analytics landscape and all solutions available on the market. If you’re new to analytics, or need to communicate with analytics experts, this course is an excellent place to start. 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 analytics products and their benefits
- Ask the right questions to choose your analytics solutions
- Build your analytics stack
Course agenda
- Introduction to analytics measurement and why it is important
- Overview of the different analytics products
- What is a web and app analytics tool?
- Benefits of a web and app analytics tool
- Criteria to look at when choosing web and app analytics tool
- What is a heatmap tool?
- How does it complement your web and app analytics tool?
- What is an eye-tracking tool?
- How does it complement your web and app analytics tool?
- What is an A/B test tool?
- Benefits of an A/B test tool
- Criteria to look at when choosing web and app analytics tool
- What is a data visualisation tool?
- Benefits of a data visualisation tool
- Criteria to look at when choosing a data visualisation tool