Engagement analysis models

Intelligence workbench module allows you create ready-to-use data science models to gain insights from the unified customer data and make informed decisions.

Model	Sample use cases
Recency, Frequency and Monetary models	Segment customers into champions, promising, at-risk, and lost segments for targeted journeys Detect lapsing customers and trigger reactivation campaigns.
Fatigue Segmentation models	Classify customer fatigue levels to adjust communication volumes Identify over-contacted leads to shift them from high-touch to broader campaigns

The use cases listed above are illustrative scenarios. The models can support a larger variety of use cases depending on the business objectives, and the data availability.