One account. Every system agrees
Salesforce, HubSpot, 6sense, Gong, and your website each hold a different version of the same buyer. Identity Resolution reconciles them into one record, person to account to opportunity, that every agent reads and acts on.
- Pipeline propensity0.78
- AI-attributionMTA + MMX
- Booking readinesson target
- Marc Becker · VP Engineering · Acmecontact
- M. Becker · marc@acme.io · Acme Inclead
- Marcus Becker · Acme Corporationaccount
- Marc B. · (no email) · Acmecall
Four systems. Four versions of one account
| Source | Field | Value |
|---|---|---|
| Salesforce | Employees | 900 |
| HubSpot | Employees | 1,200 |
| 6sense | Intent | High |
| Gong | Contacts | 2 · 1 duplicate |
| Web | Sessions | 37 · anonymous |
Salesforce says 900 employees. HubSpot says 1,200. 6sense tags the account high intent. Gong logged a second contact under a misspelled domain. Until those records agree, every downstream decision, the score, the route, the spend, runs on a guess.
- Conflicting firmographics across CRM, MAP, and enrichment sources
- Duplicate people and accounts from forms, imports, and reps
- Anonymous web sessions that never tie back to a known account
- Subsidiaries and aliases scattered across separate records
- Intent and engagement stranded on records the CRM cannot match
Deterministic first. Probabilistic where it must be
| Signal | Match key | Confidence |
|---|---|---|
| CRM ID | Exact | 100% |
| Work email | Exact | 100% |
| Company domain | Exact | 98% |
| Name + company | Probabilistic | 91% |
| Device + firmographic | Probabilistic | 86% |
RevSure matches on hard keys first, email, domain, and system IDs, then uses a probabilistic model for the records keys cannot join. Every person rolls up to an account and every account to an opportunity, and every match carries a confidence score you can audit. Not a black box.
- Hard-key matching on email, domain, and CRM IDs
- Probabilistic ML for the records keys cannot join
- Person to account to opportunity hierarchy, resolved end to end
- Every match scored, explained, and reversible
- Subsidiary and alias graphs collapsed to the right parent
Turn anonymous traffic into named accounts
| Account | Pages | Intent | Owner |
|---|---|---|---|
| Cursor | 14 | Surging | Unassigned |
| OpenAI | 9 | High | Pod A |
| Anthropic | 6 | High | Unassigned |
Most of your site traffic never fills a form. Identity Resolution matches anonymous, cookieless sessions to accounts using firmographic and network signals, so the account shows up in the funnel the moment it is in-market, not weeks later.
- Cookieless visitor-to-account matching
- Net-new accounts surfaced the week they start researching
- Page-level intent attached to the resolved account
- Feeds scoring, routing, and outbound automatically
One record every agent acts on
| Signal | Source | When |
|---|---|---|
| Ad click | 2d ago | |
| Form fill | Pricing | 1d ago |
| Call booked | Gong | 4h ago |
| Opp created | $140K | just now |
The resolved account is the record the whole platform reads: attribution credits it, scoring ranks it, the spend agent funds it, the SDR agent works it. The clean identity writes back to your CRM and MAP, so the systems of record finally agree.
- A single golden record per account, owner, and opportunity
- Read by attribution, scoring, forecasting, and every agent
- Written back to Salesforce, HubSpot, and your warehouse
- Versioned and reversible, so a bad merge is one click to undo
Resolution you can audit
Related capabilities
The Context Layer
The identity-resolved spine the whole platform runs on.
ExploreData Harmonization
Map every schema to one model the platform reasons over.
ExploreWritebacks & Real-time Activation
Push resolved data back into your live tools.
ExploreMCP Server
Expose the layer to your own agents.
ExploreSee the conflicts resolve
See identity resolution run on your own stack.