Essential Business Applications: Online Analytics

About the course

A lot of customer interaction nowadays comes from online channels, but understanding online behavior is often difficult. In this training, you will learn how to follow customers and prospects over time, by integrating online and offline data into longitudinal databases. Only by combining both types of data you will be able to create a complete view of customer journeys which includes all the channels used by the customers and prospects. The combined data is a valuable source since it enables you to analyze the drivers of conversion and value. Basic attribution models, like first touch, last touch, and linear touch, already offer insight into the channels which contribute the most to conversion or value. More complex patterns can be found using advanced models like Markov models. The results of these analyses can be used to determine on a customer-level which channel will be the most effective in order to boost conversion or value. Therefore, this training is highly applicable if you aim to optimize value by affecting the channels that customers encounter in their journey, for example as a marketing department.

 

Why this is for you

Time and time again we see companies fail to unlock the potential of online data and miss their biggest opportunities. Or those that have implemented online value steering in their business but aren’t operating to the correct privacy regulations or methods. This training is designed specifically to create value in your business through online analytics. It does not only teach you how to create the required databases or how to do the analytics, it also shows you how to make impact with this combination of (online) data and analytics in your business.

 

For whom

We designed this training with Data Scientists in mind! If you are looking for practical hands-on experience implementing online analytics in business, you’re in the right place! Note that there is no prerequisite regarding other badges, although some basic Python and R skills are useful to have.

 

What you’ll learn

1. The major developments in the field of online analytics
2. How to create a prospect database
3. Basic attribution models
4. Markov models
5. Shapley Value models

Learning Goals

• The online analytics landscape – Understand major developments in the field of online analytics
• Longitudinal prospect database – Capable of building a longitudinal database about the journeys of customers and prospects using both online and offline channels
• Basic attribution models – Knowing how to use and compare different basic attribution models
• Markov models – Being able to explain and build a Markov model
• Shapley Value models – Being able to explain and build a Shapley Value model

Theory and practical use

All trainings in the GAIn portfolio combine high-quality standardized training material with theory sessions from experts and hands-on experience where you directly apply the material to real-life cases. Each training is developed by top of the field practitioners which means they are full of industry examples along with practical challenges and know-how, fueling the interactive discussions during training. We believe this multi-level approach creates the ideal learning environment for participants to thrive.