A CRM is a structured diary of your revenue process: every lead, call, email, stage change, and reason a deal was won or lost. For AI agents learning sales and account management, that’s a valuable training record.
Valuable CRM records
- Deal pipelines: stage progression over time
- Activity logs: calls, meetings and emails tied to deals
- Notes: rep reasoning, objections and next steps
- Win/loss reasons: outcomes with context
- Account histories: renewals, expansions and churn
micro1 lists CRM data among the assets it licenses, and Polyshares names CRM history (a sample on its site shows 10,000 HubSpot records).
Not sure if your data qualifies? The intake takes a few minutes.
What to exclude or mask
- Contact names, emails, phone numbers and addresses
- Customer company names (mask these if you prefer)
- Payment and contract value details, if you prefer to generalize them
- Data synced from systems you don’t own
Preparing CRM data
- Export objects: deals, activities, notes, companies (masked), and contacts (masked).
- Decide which custom fields to include.
- Choose the date range; longer history increases value.
- Agree the anonymization method with the buyer.
Who to talk to
Companies with 30+ employees and mature sales operations fit micro1’s stated criteria. Read our micro1 review.
Frequently asked questions
Will my customers’ contact details be shared?
They shouldn’t be. Names, emails, phone numbers and company identifiers should be stripped before transfer. Confirm this in the contract.
Are CRM notes more valuable than structured fields?
Usually yes. Free-text notes and email logs show reasoning, while fields show outcomes. Buyers value both, but reasoning drives value.