Question 1

Can Orion track MRR, ARR, churn, and expansion revenue with definitions that match our internal accounting?

Accepted Answer

Yes. Your revenue metric definitions — how you handle downgrades, credits, and trial conversions — are stored in the Knowledge Base and locked as pinned metrics. Every report and ad-hoc question uses the same calculation, eliminating the "our ARR number doesn't match" problem.

Question 2

Can Orion identify which customer cohorts are most likely to churn before they do?

Accepted Answer

Orion performs behavioral pattern analysis across your product usage and billing data, identifying accounts showing pre-churn signals — declining DAU, reduced feature adoption, support ticket spikes — and surfaces them to your CS team proactively.

Question 3

Our product team, CS team, and finance team all need different views of the same customer data. How does that work?

Accepted Answer

Each team gets its own Orion project with their relevant data scope and permissioning. Product sees usage analytics; CS sees health scores and engagement; finance sees revenue and retention metrics. Cross-team reports are built separately with appropriate access controls.

Question 4

Can Orion replace the weekly business review deck our head of RevOps spends four hours building every Friday?

Accepted Answer

That is the most common time-savings use case. Build the analysis once in Orion, schedule it to run Friday morning, and deliver the finished deck directly to stakeholders' inboxes. The structure stays consistent; only the numbers update.

Question 5

We are evaluating Orion against just having our data team use Claude directly. Why not just use Claude?

Accepted Answer

Claude is excellent for ad-hoc questions when you can supply the context yourself. Orion is what you use when you need that context to persist, be governed, and be shared across a team. Orion remembers your metric definitions, schedules recurring analysis, produces consistent stakeholder-ready outputs, and provides RBAC and audit trails — none of which Claude does out of the box.

Smart Retention. Smart Expansion. Smart Revenue.

Real SaaS scenarios.
Running autonomously.

Churn Risk Invisible Until the Renewal Arrives

Expansion Revenue Left Unworked in the Portfolio

ARR Reporting Consuming RevOps Capacity

Connect to your data warehouse on day one

Revenue intelligence that gets smarter day over day

Surface churn and expansion before your team asks

Reports that run themselves

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