You are here:
Propensity to Buy Template (Beta)
The Propensity to Buy template establishes a starting point for predicting which customer will buy a product or product category within a particular time frame. The template preconfigures model details, prediction inputs, and selects an algorithm. To align the model with your data, customize default variables and set a prediction window—the number of days used to calculate the purchase likelihood. After model training, Model Builder generates purchase likelihood scores on your records so you can identify high-value customer segments and drive targeted marketing campaigns.
Required Objects and Fields
To use the template and train your model successfully, map these data model objects (DMOs) and fields. Other fields are optional but can improve predictions.
| Data Model Object (DMO) | Fields |
|---|---|
| Individual (ssot__Individual__dlm) |
|
| Contact Address (ssot__ContactPointAddress__dlm) |
|
| Product (ssot__GoodsProduct__dlm) |
|
| Product Category (ssot__ProductCategory__dlm) |
|
| Sales Order Product (ssot__SalesOrderProduct__dlm) |
|
| Product Browse Engagement (ssot__ProductBrowseEngagement__dlm) |
|
| Sales Order (ssot__SalesOrder__dlm) |
|
| Shopping Cart Engagement (ssot__ShoppingCartEngagement__dlm) |
|
- Configure a Propensity to Buy Template (Beta)
Configure the Propensity to Buy (beta) template to automatically create the data transforms, output data model objects, and predictive model required to generate propensity scores. Query the scores to assess a customer's likelihood of making a purchase within your specified prediction window.
