Synthetic Data for CRM
Describe the sales motion, for example 1,000 accounts and 12 reps over two years, and Misata Studio builds accounts, sales reps, opportunities that move through pipeline stages, and the activities around them. Each opportunity's rep is its account's rep, deals move through the stages in order, and each rep's won deals and quota attainment are worked out from the opportunities themselves.
Updated 2026-09-24.
A B2B sales team with 12 reps, 1,000 accounts, opportunities through the pipeline stages and sales activity over two years.
Studio builds this on one of its tested archetypes: the mechanics below are fixed and verified, and what the business sells, the names and the wording are written for yours.
Start from thisWhat Studio builds
accountsCompanies with industry and sizesales_repsThe team, with territoriesopportunitiesStages, amounts, open and close dates; the rep comes from the accountsales_activityCalls, emails and meetings tied to real opportunitiesWhat holds, and how you know
These are checked on the finished data, not assumed. Each dataset comes with a certificate listing what you asked for and whether it was met. How we verify.
- An opportunity's rep is always its account's rep
- Deals pass through the stages in order, with a date for each stage reached
- Each rep's won deals, won amount and quota attainment are worked out from their opportunities
- Every foreign key points at a row that exists, checked on the finished data
- Every count, total, rate, share and date window you state is applied exactly, or listed as not applied
- A certificate lists each requirement and whether the data meets it
Have a schema, specialised rules or a large volume and would rather hand it off? Ask us to build it for you.
Frequently asked
Do I need real CRM data to generate this?
Is the generated CRM data privacy safe?
Can I control the numbers, like rates and totals?
Can I use my own schema?
Which formats can I export?
Choosing a tool? How Misata compares

