Vehicle Insurance
Interest Predictor

The biological sex of the customer. This can influence insurance interest patterns.

Customer's current age. Older customers may have different insurance needs and risk profiles.

Does the customer hold a valid driving license? A license is usually required to be eligible for vehicle insurance.

The customer's geographical region. Region 28 is the most common (19.8% of customers). High-density regions have more training data, so predictions are more accurate for them.

Has the customer already purchased vehicle insurance before? Customers who already have insurance are less likely to buy a new policy.

Is the vehicle brand new (under 1 year old)? Newer vehicles typically cost more to insure.

Is the vehicle older than 2 years? Older vehicles may have a higher risk of damage.

Has the customer's vehicle been damaged in the past? Customers with prior damage are more likely to want insurance coverage.

The yearly amount the customer pays for their existing health insurance. Higher premiums may indicate customers who value coverage.

How the customer was contacted. Anonymized codes from training data — select the closest match based on how your team reached this customer.

How many days the customer has been associated with the company. Longer relationships indicate greater customer loyalty.