Simple, modular pricing
built around your data.
Buy the module you need today. Add the others when the business is ready. Quoted annually per module, not per seat.
Sales
Pipeline, forecasting, capacity.
- Predictive pipeline forecasting
- Deal-level win probability scoring
- Pipeline coverage tracking
- Capacity planning + headcount modeling
- Quota attainment analytics
Marketing
Attribution, ROI, mix modeling.
- Full-path multi-touch attribution
- Marketing mix modeling
- Campaign-level cost + ROI
- CMO + Marketing Ops reporting
Target Accounts
Target account analytics.
- Full feature list scoped during your pricing conversation.
SaaS Metrics
ARR, retention, board reporting.
- ARR analytics
- Net + gross revenue retention
Two line items beyond the module fee
We are explicit about both so there is no surprise on the quote.
Data connectors
Charged separately based on the number and complexity of source systems you need to connect — Salesforce, HubSpot, Marketo, Snowflake, NetSuite, and others. A typical deployment connects three to five systems.
Implementation
Covers the work to connect your data, prepare and validate the dataset, and train ORM's machine learning models on your historical performance. Scoped during your pricing conversation based on data volume and integration complexity.
Pay for what you use.
Not what you might.
Most revenue platforms force a full-suite purchase. You buy the whole thing, deploy a third of it, and pay for the rest forever. That is the wrong model for teams that need to prove ROI on every line item.
Start with the module that solves the most painful problem today. Once it is producing value, add the next one. The platform is the same underneath, the data model is shared, adding a module is an upgrade conversation — not a re-implementation.
Sized by the right driver
Sales by team size. Marketing by database size. Other modules sized by the input that drives cost in their domain, not by seats.
Annual pricing
Quoted and paid annually per module. No per-user pricing.
Built around your data
Pricing is scoped to your specific data volume, integrations, and implementation needs — not to a pre-set tier you have to grow into.
Pricing FAQ
How much does ORM cost?
ORM pricing starts at $25,000 per year for a single module. Most customers invest based on the modules selected, company size, data volume, required integrations, and implementation scope. Enterprise module pricing typically starts at $100,000+ per year.
What are ORM's core modules?
Four: Sales, Marketing, Target Accounts, and SaaS Metrics. Each is a complete deployment in its own domain. Deploy one or all four — the platform underneath is the same.
What drives the pricing band I land in?
Each module is sized by the input that actually drives cost in that domain — for example, sales team size for Sales and marketing database size for Marketing. Data volume, integration count, and implementation complexity factor in too.
Is there an implementation fee?
Yes. A one-time implementation fee covers connecting your data sources, preparing and validating the dataset, and training ORM's ML models on your historical performance. Scoped on your specific deployment, not a flat number.
Is ORM priced per seat or per user?
No. ORM is priced as a platform deployment per module. There is no per-seat or per-user fee.
What does an Enterprise deployment look like?
Enterprise deployments typically start at $100,000+ per year per module. The exact scope depends on data volume, integrations, and implementation complexity, and is sized during the pricing conversation.
Want a quote sized to your team?
Tell us which modules you are evaluating and a few details about your team size and data sources. We will come back with a scoped quote within two business days.
Get a Custom Quote