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For revenue operations

One source of truth for the whole revenue engine.

Sales, marketing, and success run on one event-sourced database — so pipeline, attribution, lead routing, and forecast all reconcile because they're derived from the same rows. No cross-tool sync to babysit, no diff report to explain, no quarter spent proving two systems disagree. Every rule is in a UI; every change is on the audit log.

Illustrative outcomes — composite of design-partner deployments

↓ 0

cross-tool sync jobs to reconcile

↓ 87%

time spent explaining why two systems disagree

↑ 27%

forecast accuracy vs. last-quarter baseline

↓ 60%

ops time on CRM plumbing

What you get on day one

Six things you stop juggling.

Pipeline + forecast that reconcile

The rep's commit, the manager's call, and the board number are the same number derived three ways from the event-sourced ledger. You stop being the referee between two tools that disagree and start owning one number.

Attribution that survives the reorg

Multi-touch attribution runs against events, so renames and channel re-cuts don't break history. Marketing-sourced pipeline and sales-influenced revenue reconcile because they read the same rows, not two exports.

Lead routing + scoring in a UI

Define scoring and routing rules yourself — no engineering ticket. Leads land on the right owner by territory and score the instant they arrive, and every routing decision is logged so you can prove the SLA.

Integrations with lineage

Pull ad, web, and data sources from a 73-connector marketplace — each with field mapping, sync schedule, and health in one place. When a downstream number looks wrong, you trace it to the source instead of guessing.

The warehouse mirror, on a schedule

The event ledger exports to Snowflake, BigQuery, Redshift, or Databricks with a stable, versioned schema. Your BI stack reads a mirror that doesn't drift between releases — the source of truth stays the live DB.

Consent + audit as first-class

The consent ledger and immutable audit log are the same substrate the revenue data lives on — so a GDPR request or an ops audit is a query, and every process change has an actor, a timestamp, and a before/after.

Explore the modules

The shipped product surfaces this role lives in.

RevOps used to be the referee between Salesforce and the marketing tool. On one database there's nothing to referee — the number is derived once and everyone reads the same row.

Head of RevOps · B2B SaaS · illustrative scenario · illustrative scenario

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Last reviewed: 2026-07-10

American English · claims grounded against shipped functionality

Closes DP-014 + DP-015