Last checked: 7 October 2026 (buyer terms quoted on this page)
Your customer list is not the product. What AI buyers look for in Salesforce or HubSpot is the reasoning: why deals moved, stalled or died, written down by the people who worked them.
A CRM is a timestamped log of judgment calls: who to chase, what to offer, when to walk away.
micro1's data partnership page lists CRM data by name among what it wants, alongside SOPs, project histories and "decision-making patterns". Salesforce and HubSpot both appear in the system lists buyer programs publish. The reason is not that labs want your prospects' phone numbers. It is that a sales pipeline is one of the few places where a company records, step by step, how people make commercial decisions under uncertainty, and what happened as a result.
Each opportunity moves through stages with dates. Reps write notes after calls. Managers approve discounts or push back. Deals are won or lost, and someone records why. Read in sequence, that history shows a model how a qualified buyer differs from a tire-kicker, which objections sink a deal, and how a team adjusts its approach over several years. The contact fields are the least interesting part, and the riskiest.
The line between what buyers want from a CRM and what they do not.
Records of how sales work is done
Lists of people and data you do not own
Selling lists of people is a different business with its own rules, and it is not what the data partnership programs on this site describe. Enrichment and purchased data deserve a special warning: you usually license that data rather than own it, and the license rarely allows resale or AI training use. Leave it out unless the provider agreement clearly permits it.
This is the shape of a sales workflow after de-identification: stages, dates and reasons.
Illustrative and fictional. All companies, people and figures are invented. Not an offer.
Inbound from [ACCOUNT-311], a 120-person distributor. Pain: manual reorder process. Rep A notes budget not confirmed.
Call summary: operations lead is the champion; finance must sign off. Pilot scope agreed for one warehouse.
Quote sent. Customer asks for 20% off. Manager B approves 10% with a two-year term. Note: competitor quoted lower but without integration.
Finance stalls; asks for references. Rep A sends two case summaries. Close date moved by one month in the forecast.
Loss reason: budget frozen after a reorganization. Follow-up task set for next fiscal year.
Nothing in that record needs a real name to be useful. A buyer sees qualification, a pricing decision with a stated rationale, a forecast change and an honest loss reason. Multiply that by thousands of opportunities over several years, linked to the emails and call summaries behind each step, and you have the kind of connected history buyers describe. Calls themselves are a separate data type with separate consent rules; see call recordings and transcripts.
You choose objects, fields and years. In most deals the buyer runs the export and de-identification under the agreement.
Opportunities or deals, their stage history, activities, notes and quotes. Leave contact and lead objects out, or keep only pseudonymous IDs.
Records only make sense connected. Consistent placeholder IDs let a deal stay linked to its notes and emails without revealing who anyone is.
List each object and field, the years covered and row counts. Share that manifest and a de-identified sample before any full export.
Notes are where the value and the risk both sit. They name people, mention families and quote prices. Plan a human review of samples.
Mode describes buying "an agreed copy", with originals staying with the company. micro1 states that scope is agreed in writing.
Practitioners advise never sending a full dataset before price, and getting more than one offer from a manifest and samples.
General information, not legal advice. Talk to your own lawyer before you sign.
A CRM is full of people who are not your employees: contacts at customers, prospects and partners. Business contact details are still personal data under GDPR for anyone in the EU or UK, and CCPA/CPRA covers California residents. Rep notes add a layer most owners forget: remarks about a contact's family, health, temperament or job security. Those must go, even if every name is replaced. Read is it legal to sell company data for the ownership and contract questions, and de-identification before selling data for how free text is handled.
There is also a commercial question that privacy rules do not cover. Opportunity records hold your discounts, margins and deal terms, and some of your customer agreements may treat pricing as confidential. Decide whether pricing fields are in scope, and ask every buyer about scope of use and downstream recipients. micro1 states that no customer information is exposed and that the company keeps ownership of its underlying data; Mode states that it de-identifies before onward delivery. Ask how both claims would be checked on your own sample.
Contact objects, marketing lists, consent records, enrichment data, payment details and personal remarks.
Customer agreements with confidentiality or pricing clauses, and every data provider license.
Keep, round or remove discount and margin fields. Each choice changes value and exposure.
Described in general terms. Editions, settings and admin roles differ, so confirm each point with your own CRM admin.
Use these signals to describe your data honestly. They describe usefulness, not price.
| Signal | Stronger | Weaker |
|---|---|---|
| Notes | Written after most calls and meetings, in full sentences | Empty, or one-word updates |
| Stage hygiene | Stages updated as deals actually move | Bulk-updated at quarter end to tidy the forecast |
| Loss reasons | Specific and written by the rep | Blank, or "other" on most lost deals |
| Activity logging | Emails and calls logged against deals | Real conversations happen outside the CRM |
| Pipeline definitions | Stable stages over several years | Stages redefined every year with no mapping |
| Origin of data | Records your team created | Mostly imported or enriched from third parties |
A careful CRM scope is narrower than the whole org, and easier to defend.
Closed deals first. Won and lost opportunities have an ending and a reason. Open pipeline carries live pricing and negotiations, and sharing it creates a commercial risk that closed history does not. Many sellers limit scope to deals closed before a cutoff date.
Lost deals matter. A set of only won deals tells half the story. Loss reasons, stalled deals and competitive notes are where the most useful reasoning sits, provided the notes are de-identified properly.
Segments and teams. New business, renewals, partner channels and enterprise teams often follow different processes. Scoping by team keeps each workflow coherent. Both micro1 and Mode publish a preference for US-based operations, so note which regions your pipeline covers.
Periods. Prefer complete fiscal years with stable pipeline definitions. Leave out deals tied to an acquisition, a dispute, or government contracts with their own confidentiality terms.
Every line needs an answer in the de-identification plan.
Illustrative and fictional. The people, company and figures are invented.
"Call with Dana Whitfield (CFO, Harbor Lane Supply). She is back from medical leave and wants to move fast before her board meeting on the 14th. Her husband runs their competitor's warehouse, so keep pricing tight. Offered 12% if signed this month."
"Call with [CONTACT-A] (CFO, [ACCOUNT-218]). Wants to move fast before a board meeting. Pricing concern noted. Offered 12% if signed this month."
The name and company became placeholders, but the larger change was removing the medical leave, the family relationship and the date. Each could identify the person even without a name. The commercial reasoning (urgency, a pricing concern, a time-limited discount) survives. Automated tools tend to catch the name; a human reviewer catches the rest.
"We have 80,000 contacts" describes the riskiest part of the CRM and the part buyers value least.
Without losses and stalls the history is one-sided, and the reasoning behind failed deals is lost.
Live pricing and active negotiations are commercially sensitive. Use a closed-before cutoff instead.
Third-party data often sits in ordinary-looking fields. Trace where each field's values came from.
Automated tools miss nicknames, family details and indirect references. Review samples by hand.
Deals, activities and emails only make sense linked. Consistent placeholder IDs keep the links intact.
Only what each program publishes. Ranges cover whole data packages, not CRM data alone.
| Program | Published payout | Published eligibility | CRM relevance |
|---|---|---|---|
| micro1 Enterprise Data Partnership | "$100k+ qualified", "$500k+ large-scale", "$1M+ highly unique" | 30+ employees, mature operations, documented processes, modern software tools, primarily English; US prioritized | Names CRM data and "decision-making patterns" |
| Mode company data | "$100K-$5M" | 20+ full-time US office employees; several years of records the company owns | US-based teams strongest fit |
| Grepped | "$20K-$5M", "get paid in 7 days" | Any vertical; also pays individual professionals for expertise | Broad intake; confirm scope in writing |
Last checked: 7 October 2026. Sources: micro1.ai/data-partnerships; data.mode.inc; grepped.ai, each as published. Published ranges are not offers, averages or promises. Full comparison: buyer programs compared.
Independent site. Some links are referral links: if your company signs with a buyer through them, the buyer may pay us a fee. You are not charged, and we never see your data.
Check your headcount and country in the eligibility checker, then settle each point in writing.
Buyer programs list Salesforce and HubSpot among the systems they take data from, and micro1 names CRM data among what it wants. What they describe buying is records of how work gets done, not lists of people. Whether you can sell depends on ownership, client contracts and privacy law. This is general information, not legal advice.
Not as training data. A list of names and emails teaches a model nothing about how sales work is done, and it is the most regulated part of the CRM. The value is in stage history, notes, call summaries, approvals and win or loss reasons. Your customer list is not the product.
Usually not. Purchased lead lists and enrichment data are typically licensed, not owned, and the license rarely allows resale or AI training use. Check each data provider agreement, and leave that data out unless it clearly permits the use.
It can. Discounts, margins and deal terms sit in opportunity records and notes. Decide whether pricing fields are in scope, and ask any buyer about scope of use and downstream recipients before you sign.
Nobody can price yours without seeing it. Buyer programs publish ranges for whole data packages, for example micro1 lists "$100k+ qualified" up to "$1M+ highly unique", and Mode lists "$100K-$5M", as published. These are ranges, not offers or averages.
Usually yes. Lost and stalled deals carry the loss reasons, competitive notes and pricing debates that show how sales decisions are made. A set of only won deals is one-sided. The same de-identification rules apply to both.
Most sellers should not. Open pipeline holds live pricing, active negotiations and customer plans that are commercially sensitive right now. A cutoff such as deals closed before a set date keeps the history and removes the live risk.
The published eligibility rules are about the company, not the sales team: micro1 lists 30+ employees and Mode lists 20+ full-time US office employees, as published. Grepped lists any vertical. Use the eligibility checker to compare your company with each program's rules.