Santander Product Recommendation Dataset 

In this competition, you are provided with 1.5 years of customer behavior data from Santander bank to predict what new products customers will purchase. 

The data has monthly records of products a customer has, such as "credit card", "savings account", etc. You will predict what additional products a customer will get in the last month in addition to what they already have. The test and train sets are split by time, and public and private leaderboard sets are split randomly.

(*Disclaimer This data set does not include any real Santander Spain's customer, and thus it is not representative of Spain's customer base.)

Feedback type: Implicit

Dataset Link: 

Date Range

Jan 2015 to May 2016

Data Size

229 MB

Basic Statistics

No. of users:  929k

No. of products:  24

See instant AI recommendation results with caboom
Start with your data or a sample for instant results right away.
Request Access