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ORM SaaS Analytics

#42 of 70 in Cohort Analysis Software

ORM SaaS Analytics: Enterprise revenue analytics unifies cohorts, SaaS metrics and health signals at a high annual price. Ranked #42 of 70 in Cohort Analysis Software by our editors (4.7/10); pricing: Paid; best for enterprise finance teams unifying SaaS metrics.

4.7/10Editor score
ORM SaaS Analytics4.7 View ORM plans

At a glance

  • Editor score
    4.7 / 10
  • Pricing
    Paid
  • Best for
    Enterprise finance teams unifying SaaS metrics
  • Free plan
    No
  • Paid from
    $25,000/yr
  • Retention cohort reports
    Yes
  • Facts checked
    20 Oct 2026
  • Where it wins

    • Unifies cohort, MRR/ARR, churn and retention analysis
    • Combines CRM, ERP, ticketing and product signals for customer health
    • Adds predictive revenue analytics and data-process audit reporting
  • Where it doesn't

    • No free plan is available
    • Data connectors and one-time implementation fees are scoped separately
    • Enterprise pricing reaches $100,000 per year

Our verdict on ORM SaaS Analytics

ORM SaaS Analytics is a revenue analytics product for high-growth B2B technology companies. It brings sales, marketing, finance and product data into a unified customer-journey view, covering cohort analysis, MRR and ARR tracking, churn, net and gross revenue retention, customer health and predictive revenue analytics. Revenue leaders and finance teams in mid-market and enterprise organizations can use it for repeatable SaaS measurement, bookings-to-billings reconciliation and board-ready reporting.

The SaaS Metrics plan costs $25,000 USD per year, billed annually, and includes ARR analytics plus net and gross revenue retention. SaaS Metrics Enterprise costs $100,000 USD per year and provides an Enterprise SaaS Metrics deployment. Pricing is quoted annually per module, while data connectors and one-time implementation fees are separately scoped. There is no free plan, so buyers should budget for a paid deployment from the outset and clarify the full connector and implementation scope during procurement.

ORM SaaS Analytics fits environments that need data combined across CRM, ERP, ticketing and product analytics systems. Listed integrations include Salesforce, HubSpot, Marketo, Snowflake and NetSuite, alongside data-process auditing and transparency reporting for identifying data-quality challenges. SOC 2 compliance is listed. Choose it when a finance or revenue organization needs one analytical layer spanning customer journeys, retention and predictive models. Teams seeking a lower-cost option, a free tier or a narrower, self-contained cohort tool should consider alternatives instead.

Your product? Our editors can test ORM SaaS Analytics in depth and publish a review, labelled as paid · from $149/mo →

ORM SaaS Analytics pricing

Plans Paid No free plan — trial or paid only. Prices checked 20 Oct 2026.
See plans on orm-tech.com

All 2 ORM SaaS Analytics plans and prices →

ORM SaaS Analytics fact sheet

Free planNo
Paid from$25,000/yr
Retention cohort reportsYes
Revenue cohort analysisNot verified
Behavioral cohortsNot verified
Lifecycle cohort reportsNot verified
Warehouse data importNot verified
Data exportNot verified
Tracked users limitNot verified
Compliance & securitySOC 2
Built forMid-market, Enterprise (editorial estimate)
Integrations9 integrations: CRM systems, ERP systems, Ticketing systems, Product analytics systems, Salesforce, HubSpot …
PricingPaid (source)
Websiteorm-tech.com
Facts checked20 Oct 2026

ORM SaaS Analytics integrations

ORM SaaS Analytics lists 9 integrations on its own site.

  • CRM systems
  • ERP systems
  • Ticketing systems
  • Product analytics systems
  • Salesforce
  • HubSpot
  • Marketo
  • Snowflake
  • NetSuite

Alternatives to ORM SaaS Analytics

See all ORM SaaS Analytics alternatives →

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Featured on iTechGuides

Featured on iTechGuides — ORM SaaS Analytics 4.7/10

ORM SaaS Analytics is listed in our Cohort Analysis Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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