The following list consists of Models of Customer Behavior that have been constructed
by analyzing patterns in daily sales figures. Click on any of the following models
of customer behavior to view the weather-related, seasonal, and time-related variables
that might explain customer behavior and the number of sales made on any given day.
To view a pre-built model of customer behavior, click on any of the fields in the
below list:
You can also build your own models of customer behavior using our
online tool for multiple regression. The regression tool lets you select
which variables you want to consider in the model-building process. We automatically
combine regional weather data with other time-and-seasonal trends so there is no
data entry required. Because we look for
patterns in the number of sales
made to determine models of customer behavior, a well-built model can
fairly accurately predict future short-term sales (depending on the accuracy of
weather forecasts). After you have built a model, you will be given the option
to save it so that it will appear in the list below for other visitors to view.