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Smart Retention. Smart Expansion. Smart Revenue.

Churn signals hide. Expansion plays go unworked. Revenue forecasts drift. Orion surfaces what matters before the renewal window closes.

Opportunity

Mid-Market segment showing 18% expansion velocity. Feature adoption trending higher than cohort average — prioritize these 31 accounts for upsell.

Churn

Churn risk flagged on 4 Enterprise accounts. DAU declining and support ticket spike detected — recommend immediate CS outreach.

SaaS analytics hero visualHero visual

Real SaaS scenarios.
Running autonomously.

Churn Risk Invisible Until the Renewal Arrives

Catches churn risk 60-90 days before renewal — when there is still time to save the account.

Analyzes: Product engagement signals, support ticket trends, usage drop-offs, payment history, and NPS by account and cohort.
Delivers: Weekly at-risk account report with churn probability scores, health signals, and recommended CS actions — sent directly to account owners automatically.

Expansion Revenue Left Unworked in the Portfolio

Turns product usage data into a prioritized expansion pipeline without a data science project or manual account review.

Analyzes: Feature adoption rates, seat utilization, upsell trigger signals, and expansion patterns by segment and plan tier.
Delivers: Weekly expansion opportunity digest with ranked accounts, recommended next actions, and projected ARR impact — delivered to CS and sales leadership.

ARR Reporting Consuming RevOps Capacity

RevOps gets the analysis Monday morning, not the data pull request they would send Friday afternoon.

Analyzes: Billing data, contract terms, expansion, contraction, churn, and reactivation events across the customer base.
Delivers: Automated ARR waterfall, cohort retention analysis, and NRR breakdown — updated weekly without analyst intervention.

Connect to your data warehouse on day one

Orion connects directly to Snowflake, BigQuery, Postgres, Databricks, and other data warehouses where your SaaS data already lives. No new infrastructure. No replatforming. No engineering sprint.

Explore integrations
Orion integrates with Salesforce, HubSpot, Stripe, Mixpanel, and Amplitude
Orion surfaces SaaS revenue intelligence proactively

Revenue intelligence that gets smarter day over day

Orion arrives with ARR definitions, health score frameworks, NRR benchmarks, and customer lifecycle logic built in. It learns from your billing and product data to surface churn risk and expansion opportunities automatically.

See Knowledge Base

Surface churn and expansion before your team asks

When account engagement drops below health threshold, your CS team gets the churn risk flag — not a data pull request. When a segment signals an upsell trigger, the expansion recommendation is already queued for sales.

See how it works
Orion delivers proactive SaaS insights
Automated SaaS reports delivered on schedule

Reports that run themselves

Weekly at-risk account digests, monthly ARR waterfalls, quarterly NRR cohort analyses — scheduled, formatted, and delivered to the right inbox. No manual pulls.

Explore workflows

SaaS FAQ

Common questions about Orion for SaaS revenue teams.

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.

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.

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.

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.

See what your team looks like with an AI Analyst.