Net revenue retention: Q2 close
109% latest close
Use case
Model pipeline, bookings, churn, and net revenue retention against actuals that are already reconciled to the ledger, so revenue operations and finance stop arguing about whose number is right.
Built on revenue metrics already reconciled from
RevOps and finance today
Pipeline and bookings live in the CRM; churn and net revenue retention live in a spreadsheet finance closes separately, and the two never quite tie out.
"Churn" means one thing in the CRM and another once the reconciled ledger closes, so every QBR opens with a definitions argument instead of a decision.
A renewal or expansion scenario gets tested in a copy of a spreadsheet, disconnected from the actuals finance already reconciled.
By the time a revenue metric reaches the board deck, nobody can say which system (or which version of it) the number actually came from.
Pipeline, bookings, churn, and net revenue retention are defined once in the governed definitions library, so the number means the same thing in revops and in finance.
Ask the Analyst agent about a metric in plain language and get a response that cites exactly the actuals and calculation it came from.
Drill from any revenue metric on a dashboard straight to the source document and the reconciliation check that confirmed it.
Key features
Renewal-rate scenario
"What if renewal rate drops 4 points?"
Where the agents work
AI that works inside the reconciled model: every answer, every scenario, and every query stays grounded in the same governed numbers and citations.
The Analyst agent answers questions over your model and its cited actuals, in the vocabulary revops already uses.
The Modeler agent builds and edits scenarios from a plain-language brief, without leaving the reconciled base case.
The MCP server gives other tools programmatic access to the same governed model, under the same permission and citation rules.
Not a rating. A chain.
Net revenue retention: Q2 close
109% latest close
Pipeline coverage: enterprise segment
3.4× latest close
Logo churn: SMB segment
2.1% latest close
Keep exploring
Bookings and revenue actuals feed one forecast that sales and finance both read from, no separately-maintained export.
See it in actionSegment definitions live in one library and carry the same reconciliation and lineage as any other modeled metric.
See it in actionPricing, discounting, and mix scenarios recompute against the same reconciled revenue base this metric set is built on.
See it in actionFurther reading
Pipeline, quota, and comp usually run in a system finance has to reconcile by hand at month end. Tying both to the same ledger closes that loop.
Read the article GlossaryWhat NRR measures, why it compounds, and why reconciling the underlying billing data matters more than the formula.
Read the definition GuideWhat a reliability layer is, why AI finance tools need one, and how to evaluate whether a system actually has it.
Read the guide Live demoA guided walkthrough of pipeline, bookings, churn, and NRR built from a sample of your own data: reconciled, cited, and ready to share.
Book a walkthroughFrequently asked
Pipeline, bookings, churn, and net revenue retention are defined once in the governed definitions library and computed by the deterministic engine against actuals already reconciled to the ledger, not a separate revops export nobody else can check.
It sits on top. CRM exports, ERP data, bank feeds, or a plain Excel/CSV/PDF upload flow in and get normalized into one chart, so revops dashboards read from the same governed model rather than a duplicate pull.
State the assumption in plain language (a renewal-rate shift, an expansion-rate change) and the deterministic engine recomputes every dependent line against the same reconciled base case, the same way every time.
The Analyst agent answers plain-language questions over the model and its cited actuals: retrieving the figures, running the calculation, and citing exactly what it computed from.
Role-based access and per-organization isolation keep the model shared but scoped, so revops and finance both read from the same governed numbers without over-exposing what either team should not see.
The MCP server gives developer and programmatic access, so internal tools and other AI systems can query the governed model under the same permission and citation rules as the UI.
Get started
Book a walkthrough and we'll build a pipeline, bookings, churn, and NRR view from a sample of your own data: reconciled, cited, and ready for revops and finance to share.