Marketing Promotion Campaign Uplift Modelling

Customer Retention data for Churn Prediction or Uplift Modelling

@kaggle.davinwijaya_customer_retention

Table List

1 table(409.4 KB)

Data

@kaggle.davinwijaya_customer_retention.data

409.4 KB
64000 rows
9 columns

recency Recency	history History	used_discount Used Discount	used_bogo Used Bogo	zip_code Zip Code	is_referral Is Referral	channel Channel	offer Offer	conversion Conversion
10	142.44	1		Surburban		Phone	Buy One Get One
6	329.08	1	1	Rural	1	Web	No Offer
7	180.65		1	Surburban	1	Web	Buy One Get One
9	675.83	1		Rural	1	Web	Discount
2	45.34	1		Urban		Web	Buy One Get One
6	134.83		1	Surburban		Phone	Buy One Get One	1
9	280.2	1		Surburban	1	Phone	Buy One Get One
9	46.42		1	Urban		Phone	Buy One Get One
9	675.07	1	1	Rural	1	Phone	Discount
10	32.84		1	Urban	1	Web	Buy One Get One


CREATE TABLE data (
  "recency" BIGINT,
  "history" DOUBLE,
  "used_discount" BIGINT,
  "used_bogo" BIGINT,
  "zip_code" VARCHAR,
  "is_referral" BIGINT,
  "channel" VARCHAR,
  "offer" VARCHAR,
  "conversion" BIGINT
);