Predictive modeling is an analytic technique that is a critical component of a marketer’s toolkit. In this module, you will learn the methods to build, profile, evaluate and deploy predictive models to your CRM data in order to improve marketing efficiency and predict the likelihood of future outcomes.
This course consists of three sections that will help you understand the core principles of Predictive Modeling usage, development, and applications: first, we will provide an overview of Predictive Modeling, common marketing goals and data requirements for developing effective Predictive Models, and important considerations in setting analysis specifications. Second, we will review the steps needed to build, profile, evaluate, and deploy a Predictive Model. And lastly, we will discuss real-life examples and applications of Predictive Modeling as well as ways in which you could use this technique to improve marketing efficiency.
This is the final module in a six-part series entitled: “CRM Implementation: Merging Data & Insights”. This module can be taken either as a stand-alone course or as part of the series.
- Common marketing goals that require predictive analytics
- Data requirements for predictive analytics
- How to build, evaluate and deploy a predictive model
- Applying predictive modeling to improve your customer acquisition and retention, offers, and messaging