Course overview
This advanced course builds on the statistical methods and concepts introduced in FastStats, guiding learners through the exploration of historical transactional and communication data to uncover key customer behavioural patterns. Using the FastStats Modelling Environment, participants will learn how to analyse customer journeys to understand not just what happened, but why—translating insight into action. The course also covers the creation, evaluation, and application of predictive models to support smarter, data-driven marketing decisions.
Who is it for?
Designed for experienced FastStats users who have completed the FastStats Predictor course, this session is ideal for those looking to deepen their analytical expertise and apply it strategically.
What's included?
Full course documentation is available, and the course is entirely hands-on, with practical exercises to reinforce learning. Learners who attend the live training will receive a certificate on completion.
- Introduction – what is behavioural modelling and how does it differ from standard modelling
- The FastStats Modelling Environment and behavioural modelling terms
- Setting up a behavioural modelling scenario
- Setting and assessing dimensions
- Evaluating the impact of different types of customer journey
- Evaluating dimensions against actual customer behaviour
- Chart visualisations
Course format
This course is only available live, as part of our scheduled courses and consists of 1 online session of approximately 3.5 hours.
For private training please contact the training team directly