Generate subscribers, plans, monthly usage, roaming, invoices and cell-tower data with churn signals that behave like a real customer base.
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What to look for in the screenshot above. These are the details that usually break in hand-made or random test data.
Data, voice and SMS follow each plan's allowance and customer type.
Invoices combine plan price, overage and roaming charges.
Cell towers, regions and top-tower usage per subscriber.
Tenure, complaints and usage drops correlated with churn scores.
Describe your data in plain English, or upload your SQL schema for PostgreSQL, MySQL / MariaDB, SQL Server and SQLite.
Check the tables, columns and rules the AI proposes, and adjust anything you like.
Choose how many rows you need and download a ready-to-run SQL script, CSV, Excel (one sheet per table) or JSON.
Yes. Generate call and data records per subscriber with timestamps and towers.
No. They use number ranges reserved for testing and fiction.
Yes, for prototyping: churn scores correlate with tenure, usage and complaints.
Describe your tables or upload your schema. The free trial needs no credit card.
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