Renewal Prediction Model

Explore our Renewal Prediction Model services, where we leverage historical data and advanced algorithms to drive policy renewal optimization.

We tackle challenges such as data pre-processing and algorithm selection, ensuring personalized marketing, price optimization, and customer segmentation.

Here’s how we’re leveraging data-driven insights to make smarter decisions for brands.

Objectives

• ⦁ Identify the drivers impacting policy renewal
• ⦁ Develop a machine learning model to identify policies that are likely to get renewed and those that have a low chance of getting renewed
• ⦁ Price optimization
• ⦁ Personalized marketing
• ⦁ Customer segmentation

Challenges

• • Data pre-processing
• • Understanding how different algorithms (math) work
• • Choosing the right algorithm for the right problem
• • Deciding the right properties for the algorithm
• • Re-training the algorithm with new data