Name: Analytics Vidhya Insurance Cross Sell Prediction
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Analytics Vidhya Insurance Cross Sell Prediction

About

Cross-selling identifies products or services that satisfy additional, complementary needs that are unfulfilled by the original product that a customer possesses. As an example, a mouse could be cross-sold to a customer purchasing a keyboard. Oftentimes, cross-selling points users to products they would have purchased anyways; by showing them at the right time, a store ensures they make the sale.

Cross-selling is prevalent in various domains and industries including banks. For example, credit cards are cross-sold to people registering a savings account. In ecommerce, cross-selling is often utilized on product pages, during the checkout process, and in lifecycle campaigns. It is a highly-effective tactic for generating repeat purchases, demonstrating the breadth of a catalog to customers. Cross-selling can alert users to products they didn't previously know you offered, further earning their confidence as the best retailer to satisfy a particular need.

Tables

Test

@kaggle.ishandutta_analytics_vidhya_insurance_cross_sell_prediction.test

1.74 MB
127,037 rows
11 columns

CREATE TABLE test (
  "id" BIGINT,
  "gender" VARCHAR,
  "age" BIGINT,
  "driving_license" BIGINT,
  "region_code" DOUBLE,
  "previously_insured" BIGINT,
  "vehicle_age" VARCHAR,
  "vehicle_damage" VARCHAR,
  "annual_premium" DOUBLE,
  "policy_sales_channel" DOUBLE,
  "vintage" BIGINT
);

Train

@kaggle.ishandutta_analytics_vidhya_insurance_cross_sell_prediction.train

4.44 MB
381,109 rows
12 columns

CREATE TABLE train (
  "id" BIGINT,
  "gender" VARCHAR,
  "age" BIGINT,
  "driving_license" BIGINT,
  "region_code" DOUBLE,
  "previously_insured" BIGINT,
  "vehicle_age" VARCHAR,
  "vehicle_damage" VARCHAR,
  "annual_premium" DOUBLE,
  "policy_sales_channel" DOUBLE,
  "vintage" BIGINT,
  "response" BIGINT
);