A Predictive Insights model is a model that has been trained by our machine-learning engine. The algorithm detects patterns and relationships between attributes and customer or prospect labels in a dataset. This allows the algorithm to generate predictions or scores for new accounts.
- The list of accounts in the dataset must contain the names of at least 100 existing and 500 prospective customers, but no more than 500,000. These names must be unique.
- The module must contain a Boolean line item named Is Customer, where existing customers are flagged as TRUE, and prospective customers are flagged as FALSE.
The model assigns a score to each of your matched accounts.
- In Home > Predictive Insights, select Predictive Insights models in the left-side panel, then New model.
- Enter a Predictive Insights model name and select the Predictive Insights Dataset.
- Select Create model.
When the model is trained, it displays as Trained in the list of Predictive Insights models.