The CRM Contact Record Generator produces batches of believable but fake CRM contacts. It is built for teams building or demoing a CRM, populating a sandbox, or writing import tests — letting you fill a pipeline with realistic-looking leads without exposing any real customer data.
How it works
Each contact is assembled from word banks of first names, surnames, companies, and job titles. A zero-padded ID is generated, the email is derived from the contact name and a slugified company domain on the reserved .test TLD, and a random North-American-format phone number is attached.
CRM-specific fields are then filled:
- Lead score — a random integer from 0 to 100.
- Lifecycle stage — chosen from the standard funnel from Subscriber through to Evangelist.
- Source — how the contact was acquired, such as Organic Search, Referral, or Webinar.
- createdAt — a random ISO timestamp within the last 180 days.
Click Generate contacts to redraw the batch and Copy JSON to export it.
Full field reference
Each record in the generated JSON contains:
| Field | Type | Example |
|---|---|---|
| id | string | ”CRM-00042” |
| firstName | string | ”Olivia” |
| lastName | string | ”Chen” |
| string | ”[email protected]” | |
| phone | string | ”+1 (555) 743-2091” |
| company | string | ”Nova Technologies” |
| jobTitle | string | ”Head of Marketing” |
| leadScore | integer (0–100) | 74 |
| lifecycleStage | string | ”Marketing Qualified Lead” |
| source | string | ”Organic Search” |
| createdAt | ISO datetime | ”2026-01-14T09:32:17Z” |
The .test top-level domain is an IETF-reserved TLD guaranteed not to route to any live mail server, so fake email addresses built on it cannot accidentally deliver to a real inbox.
Lifecycle stages explained
The generator uses the standard B2B CRM funnel stages, making it easy to populate a full-funnel view:
| Stage | Position in funnel | Meaning |
|---|---|---|
| Subscriber | Top | Signed up for content but not engaged further |
| Lead | Top | Filled a form or expressed initial interest |
| Marketing Qualified Lead | Middle | Behaviour signals readiness to be nurtured |
| Sales Qualified Lead | Middle | Sales team has accepted and is actively pursuing |
| Opportunity | Lower | Active deal in the pipeline |
| Customer | Converted | Has made a purchase |
| Evangelist | Post-purchase | Promoter or referral source |
The generator draws these at roughly realistic proportions: more subscribers and leads than opportunities and customers, reflecting how real funnels work. This means a 50-contact dataset will look like a funnel, not a flat distribution.
Using the data with major CRM platforms
HubSpot: The field names (firstName, lastName, email, company, jobTitle) map directly to HubSpot’s standard contact properties. Use HubSpot’s CSV import and map the column headers accordingly. The lifecycleStage field maps to HubSpot’s hs_lifecyclestage property.
Salesforce: Salesforce’s Lead object expects FirstName, LastName, Email, Company, and Title. Copy the JSON, transform the field names (or use a lightweight JS one-liner), and use the Salesforce Data Loader or a sandbox API endpoint.
Pipedrive: Use the CSV export to create test Persons. Pipedrive’s import wizard matches columns by name, so rename headers to match Pipedrive’s labels before importing.
Tips and notes
- The output is a flat JSON array, ideal for CSV-to-JSON import flows, fixtures, or mock endpoints.
- Generate up to 100 per batch; run it repeatedly and merge arrays for larger datasets.
- Lead scores and lifecycle stages are independent random draws, so you can demo segments and filters without curating data by hand.
- No API key, no network call — everything is computed in your browser.