JD

Churn & Propensity Predictor

Follow the steps to predict customer behavior.

Step 01: Data Input

Data Source
Select your data source. For demo, a default dataset is loaded.
Validation Checks
Automated checks for data quality.
  • Minimum rows (1000+)pass
  • Time coverage (3+ months)pass
  • Missingness (< 20%)warning
  • Duplicate keyspass
  • Label availabilitypending
Data Preview
A 50-row sample of your customer data. Using dummy data for demo.
idemail hashcreatedlast seencountry
CUST-001a1b2...2023-01-152023-10-20USA
CUST-002c3d4...2023-02-202023-09-05CAN
CUST-003e5f6...2023-03-102023-11-01USA
CUST-004g7h8...2023-04-052023-10-25GBR
CUST-005i9j0...2023-05-122023-11-02USA
CUST-006k1l2...2023-01-182023-10-22USA
CUST-007m3n4...2023-02-252023-09-15CAN
CUST-008o5p6...2023-03-152023-11-05USA
CUST-009q7r8...2023-04-102023-10-28GBR
CUST-010s9t0...2023-05-202023-11-08USA