Insurance Company provides several ways for its policyholders to make payments. While the Insurance Company's service counselors can take payments over the phone, it is more cost-efficient for customers to make payments through their self-service channels such as online or through the automated phone system. Thus, they would like to use a predictive model to select people to receive a pre-emptive e-mail message designed to encourage them to pay online.
We have been tasked with identifying which customers are likely to make a service payment call in the next 5 days. The Datasets folder contains highly imbalanced data on customers who have had a bill due in the next 5 days and whether they made a service payment call.
We will construct a model that predicts the likelihood that each policyholder will make a service payment call (CALL_FLAG=1).
| Var Name | Description |
|---|---|
| DATE_FOR | Date of Record Processing |
| Content Cell | Content Cell |
| RTD_ST_CD | Rated State of Policy |
| CustomerSegment | Segment the Customer falls into |
| Tenure | Years of Tenure with Company |
| Age | Age of Policyholder |
| MART_STATUS | Marital Status of Policyholder |
| GENDER | Gender Of Primary Insured |
| CHANNEL1_6M | # payments made through Channel 1 in last 6 months |
| CHANNEL2_6M | # payments made through Channel 2 in last 6 months |
| CHANNEL3_6M | # payments made through Channel 3 in last 6 months |
| CHANNEL4_6M | # payments made through Channel 4 in last 6 months |
| CHANNEL5_6M | # payments made through Channel 5 in last 6 months |
| METHOD1_6M | # of payment made with method 1 (irrespective of channel) |
| RECENT_PAYMENT | Payment made in last 15 days (1/0) |
| PAYMENTS_6M | # of total payments in last 6 months |
| CHANNEL1_3M | # payments made through Channel 1 in last 3 months |
| CHANNEL2_3M | # payments made through Channel 2 in last 3 months |
| CHANNEL3_3M | # payments made through Channel 3 in last 3 months |
| CHANNEL4_3M | # payments made through Channel 4 in last 3 months |
| CHANNEL5_3M | # payments made through Channel 5 in last 3 months |
| METHOD1_3M | # of payment made with method 1 (irrespective of channel) |
| PAYMENTS_3M | # of total payments in last 3 months |
| NOT_DI_3M | Had this customer been enrolled in automated payments in the last 3 months? 1/0 |
| NOT_DI_6M | Had this customer been enrolled in automated payments in the last 6 months? 1/0 |
| EVENT1_30_FLAG | Has this customer been sent a cancellation notice in the last 30 days? 1/0 |
| EVENT2_90_SUM | How many cancellation notices have been sent in the last 90 days? |
| LOGINS | How many times has this policy logged into self-service online in the last 30 days? |
| POLICYPURCHASECHANNEL | How was this policy purchased? 1/0 |
| ------------- | ------------- |
| Call_Flag | Was there a service payment 1/0? TARGET VARIABLE |