An operational definition of a silo
A data silo isn’t “having multiple tools” — it’s having the same business fact stored in more than one place, with neither place aware the other exists. The typical symptom: marketing sees a company as a cold lead, sales has it as an active opportunity, and neither system can reconcile which version is true without manual intervention.
Hub-and-spoke model vs. the single layer
| Dimension | Traditional hub-and-spoke | Single Signal Layer |
|---|---|---|
| Where the data lives | Duplicated: CRM, spreadsheet, marketing tool | One table, one record per company |
| Who writes to the CRM | Multiple integrations, each with its own logic | RevSign doesn’t write to the CRM — it doesn’t need to, to operate |
| What happens when two sources discover the same company | Duplicate records get created and need manual merging | A unique domain index makes the second write update the same row, not create a new one |
| Cost of switching CRM | High: every integration has to be migrated or re-mapped | Zero: the signal layer never depended on the CRM to exist |
Why there’s no write-back integration into HubSpot or Salesforce
RevSign doesn’t write signals, notes, or tasks directly into a CRM. This isn’t a pending limitation — it’s the architectural decision that avoids the root problem: every write integration into an external tool is one more place where data can drift out of sync. The system had a direct HubSpot sync in an earlier version; it was deliberately retired, and the columns left over from that integration were archived and later removed from the schema.
What does exist is a generic outbound mechanism: an event-triggered webhook (a signal created, approved, or rejected) fired at a URL each client configures — Make.com, n8n, Slack, or a custom endpoint. That webhook is agnostic to the destination tool; wiring it into a specific CRM is a client-side automation, not an integration RevSign has to maintain per platform.
Idempotent writes and conflict resolution
When two different ingestion processes discover the same company — say, a tech-stack scan and a narrative-radar finding — they don’t create two rows. A unique index on the company’s domain makes the second write update the same record. When two distinct identifiers end up pointing at the same real company (a typical case: a rebrand or a domain redirect), collision-resolution logic exists: the row with more filled-in columns wins, other tables’ foreign keys get re-pointed at that winning row, and the losing row gets marked as merged — never deleted.
What happens when you switch tools
The signal layer has no column or logic specific to any CRM. The only identifiers that persist on a company record are tool-agnostic: the domain and an optional enrichment identifier. Switching from HubSpot to Salesforce, or running with no CRM at all, requires no change to the data layer whatsoever — that’s exactly what already got validated when the legacy integration was retired without breaking anything else in the system.
$ curl revsign.os/docs/zero-data-silos
→ {
title: "Zero Data Silos: One Source of Truth Without Migrating CRM",
answers: "How do I eliminate data silos between marketing and sales without migrating CRM?",
schema: [TechArticle]
}