Renewal & Retention Modeling

Purpose

Renewal & Retention Modeling is designed to predict renewal likelihood and identify retention drivers across customer segments in the insurance context, using the information explicitly provided for policy tenure, price changes, customer profile, and competitive rates.

Primary users

The primary user is not specified in the provided information. The agent is associated with AQS and owned by Ronan Davit.

Where it fits (process/stage/trigger)

This agent fits into renewal and retention analysis processes where insurance teams need to assess customer renewal likelihood and understand the factors that may influence retention across defined customer segments.

Key capabilities / workflow

The workflow analyzes available policy and customer-related datasets, checks whether the provided data is sufficient, extracts renewal-related signals, validates retention drivers, refines segment modeling when needed, and delivers retention insights based only on the supplied data sources.

Inputs

Typical inputs are not specified in the provided information. The available dataset fields are policy tenure, price changes, customer profile, and competitive rates.

Outputs / Deliverables

Outputs are not specified in the provided information. Based on the provided use case, the deliverable is retention-oriented insight related to renewal likelihood and retention drivers, with any additional output format not specified.

Value

The value of Renewal & Retention Modeling is to support insurance retention efforts by helping identify customer segments with different renewal likelihoods and highlighting the drivers associated with retention, using the provided policy, customer, pricing, and competitive rate data.