Predictive analytics and statistical analysis are based on the concept of relationships between observed and future actions. When analyzing people, we observe a small sample of data on people and build a predictive model to identify a number of shared traits they have. Micro-targeting is the idea of finding relationships among variables to recognize the target audience's shared traits. It helps to identify the right people. The steps included to predict purchase behavior and design a campaign to expand customer base are: 1. Create dataset.
2. Once we have a dataset loaded, we will analyze the people who have purchased the cloud solution and find what they have in common with one another.
3. To do this, our first step is to create a dependent variable.
4. Then, we build a predictive model which takes that variable containing cloud purchase information, and compares it to other variables in our data set.
5. The regression model we build then compare our cloud purchase variable to whichever other variables used for analysis, and then gives us statistical correlations for each variable.
6. Initiating the cloud solution licensing, then identify more people who fit this demographic.
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