Data science

You can use the Intelligence workbench page to create ready-to-use and custom data science models that allow you to analyze your data and gain insights.

The following ready-to-use data science models are available.

• Customer lifetime value: Estimates the customer's value over a period of time based on profile and transaction patterns.
• Next best offer: Recommends the most relevant offers for every customer based on sales and transaction patterns.
• Next best action: Recommends the most relevant actions for every customer based on sales and transaction patterns.
• Next best promotion: Personalized pricing for the given product.
• Campaign revenue attribution: Measures the effectiveness of campaigns by analyzing touch points that drive revenues and conversions.
• Contact lead scoring: Scores B2B contacts on their likelihood to convert based on profile and engagement patterns.
• Account lead scoring: Scores B2B accounts on their likelihood to convert based on profile and engagement patterns.
• Product propensity: Generate numerical scores for customers based on their likelihood to buy a particular product. The higher the score, the more likely the customer will make a purchase.
• Recency, Frequency and Monetary: Generate numerical scores for recency, frequency, and monetary values based on event and transaction data.
• Channel recommender: Identifies the most effective channel for every customer based on past interactions.
• Campaign recommender: Identifies the most effective campaign to be sent for every customer based on past interactions.
• Fatigue segmentation: Classifies customers into different levels of fatigue based on their profile and engagement levels.
• Churn propensity: Estimates the likelihood of a customer churning in the specified time period.

Learn more about Custom data science models.

Accessing data science models

To access data science models:

1. Click the Oracle icon in the bottom-right corner to open the navigation menu.
2. Select Intelligence workbench.

The page will display the list of existing models.

Next steps

Get more information about each model and learn how to create and use them.

• Customer Lifetime Value models

• Next Best Offer models

• Next Best Action models

• Campaign Attribution models

• Product Propensity models

• Predictive Contact Lead Scoring models

• Predictive Account Scoring models

• Recency, Frequency and Monetary models

• Channel Recommender models

• Campaign Recommender models

• Fatigue Segmentation models

• Churn Propensity models

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