cottonwood-development/synthetic-crm-sample

CRM 700 — Free Sample (70 records across 3 tables)

This is a free 70-record sample of the full 700-record commercial dataset. Records are split across three relational tables: customers, products, and orders. Foreign-key relationships are intact — every order references a valid customer and a valid product.

What's in this sample

• 10 customer records in customers.jsonl

• 16 product records in products.jsonl

• 44 order records in orders.jsonl

• Referential integrity: every order's customer_name exists in customers.jsonl; every order's sku exists in products.jsonl

• Schema-validated: every record parses against the real industry-standard schema before publishing

• Ready to use: import into any relational pipeline (Postgres, SQLite, DuckDB) — the joins work out of the box

• customers.jsonl

• products.jsonl

• orders.jsonl

Why these records hold up

Most synthetic datasets are "good enough" — they look like the right shape, but fail against real-world parsers. Cottonwood Development's datasets are generated and validated against the actual schema:

• Healthcare records validate as valid FHIR R4 Patient resources
• Banking messages parse against the ISO 20022 pacs.008.001.10 XSD
• CRM records maintain referential integrity (customer → orders → line items)
• Invoice records have internally-consistent totals (subtotal + tax = total)

Every record passes schema validation before publishing. If it doesn't parse against the real spec, it doesn't ship.

Sample record (customer)

{
 "company_name": "Tech Solutions Inc.",
 "industry": "Technology",
 "employee_count": 350,
 "annual_revenue": 25000000,
 "primary_contact": {
 "first_name": "John",
 "last_name": "Doe"
 },
 "contact_email": "john.doe@techsolutionsinc.com",
 "account_stage": "Active",
 "created_date": "2023-04-15"
}

Schema

customers.jsonl

Field	Type	Description
company_name	string	Account name
industry	string	Industry vertical
employee_count	integer	Number of employees
annual_revenue	integer	Annual revenue in USD
primary_contact	object	first_name + last_name
contact_email	string	Email address
account_stage	string	"Active", "Prospect", "Churned", etc.
created_date	date	Account creation date

products.jsonl

Field	Type	Description
sku	string	Stock-keeping unit (e.g. CORE-0001)
name	string	Product name
category	string	Product category
unit_price	integer	Price per unit (USD)
description	string	Product description

orders.jsonl

Field	Type	Description
order_id	string	Unique order ID
customer_name	string	Foreign key: customers.company_name
sku	string	Foreign key: products.sku
quantity	integer	Units ordered
unit_price	integer	Price per unit (USD)
total_amount	integer	quantity * unit_price
order_date	date	ISO 8601 date ordered
status	string	Order status (completed, pending, etc.)

Use cases

• Test fixtures for CRM applications (Salesforce, HubSpot clones)
• Demo data for sales platforms
• ETL pipeline testing for relational data with foreign keys
• ML training for lead scoring, account classification
• Database tutorials — joins work out of the box

Get the full 700-record commercial dataset

This is a 70-record sample. The full commercial dataset contains 700 records (across 3 relational tables) for $12, Schema-validated, with full referential integrity.

Buy on Gumroad: https://bluecore8.gumroad.com/l/cottonwood-crm-700-records

About Cottonwood

A one-person data shop generating Schema-validated synthetic datasets for AI training, ML eval, and application testing. Every product is generated against an industry-standard schema and validated against the real parser before publishing. 100% synthetic, no real customer data, no legal overhead.

License

This sample is released under CC0 1.0 (public domain dedication). You can use it for any purpose, including commercial use, without attribution.

The full commercial dataset is sold under a separate license (see Gumroad product page for terms).