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Revenue planning that
finance can trust.

Your board wants a revenue number they can plan against. Your sales team gives you a number they hope is right. ORM builds the model that closes the gap between forecast and actuals.

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The revenue planning problem nobody talks about

Every B2B SaaS company has a revenue plan. Most of them are wrong by 15-30% by the time Q2 closes.

The reason is structural. Annual plans are built on assumptions: pipeline will grow at X%, win rates will hold at Y%, average deal size stays constant. But those assumptions shift every quarter. Reps leave. New products launch. Segments that converted at 35% in Q4 convert at 22% in Q1 because buying committees tightened budgets.

Spreadsheet-based revenue planning cannot absorb these shifts. By the time you update the model, the quarter is half over. You are planning with stale numbers, and the board knows it.

Revenue planning software solves this by keeping the model connected to live pipeline data. But most tools hand you a dashboard and expect you to build the model yourself. That works if you have a full-time analyst. Most companies do not.

Revenue Planning

The analytical backbone
for your revenue plan.

Bookings-to-Revenue Models

ORM forecasts bookings and amortizes them to revenue. You see what will close, what it translates to in recognized revenue, and when. MRR and ARR trend over time with full visibility into expansion, contraction, and churn.

BOOKINGS TO REVENUE AMORTIZATION Q1 Q2 Q3 Q4 Recognized Rev $2.8M

Plan vs. Actual Variance

See exactly where your revenue plan diverges from actuals. ORM breaks down variance by segment, product line, and rep cohort so you know what changed and why. No more guessing which assumption broke.

PLAN vs ACTUAL BY SEGMENT Enterprise Growth SMB Plan Actual

What-If Scenario Modeling

Test assumptions before committing capital. What happens to Q3 revenue if you hire two reps now? What if enterprise win rates drop 5 points? ORM runs the scenarios on your actual pipeline data so the answers are grounded, not theoretical.

SCENARIO COMPARISON Base case $4.2M +2 reps in Q2 $4.8M +2 reps + 10% win rate lift $5.6M

Operated by a Dedicated Team

ORM is not a platform you log into and figure out yourself. A dedicated analyst builds and maintains your revenue model, reviews it quarterly against board expectations, and updates it as your business changes. You get a forecasting team without the headcount.

YOUR DEDICATED TEAM Model Updates Weekly Synced to CRM Board Reviews Quarterly Analyst-led Typical Client Outcome Forecast accuracy: 85-95% Time to value: 6-8 weeks

How revenue planning works with ORM

ORM connects to your CRM and pulls pipeline, bookings, and historical conversion data. From there, a dedicated analyst builds a custom forecast model calibrated to how your deals actually move through stages.

The model is not static. As new deals enter the pipeline and existing deals progress (or stall), the forecast updates. Your FP&A team sees a revenue projection grounded in real pipeline behavior, not last year's assumptions carried forward with a growth multiplier.

Every quarter, ORM reviews the model against your board targets and recalibrates. If your enterprise segment slowed in Q1, the model reflects that in Q2 projections without manual adjustment from your team.

The result: a revenue plan that finance can actually allocate headcount and cash against. Not because someone made optimistic assumptions in December, but because the model is connected to what is happening in the pipeline right now.

Built for finance teams that own the number

CFOs need a revenue forecast they can present to the board without a silent 25% haircut. ORM's models give you that confidence. You see bookings amortized to revenue, variance by segment, and leading indicators before the quarter closes. Learn more about ORM for CFOs.

FP&A teams spend weeks building bottoms-up revenue models in spreadsheets. Those models break every time a rep leaves or a deal structure changes. ORM handles the modeling so FP&A can focus on scenario analysis and strategic planning instead of data wrangling.

RevOps leaders sit between sales and finance, fielding questions from both sides about why the numbers do not match. ORM gives everyone the same model, updated from the same pipeline data, with the same methodology. One number. One truth.

Common revenue planning pitfalls

Stale assumptions. Annual plans are built on Q4 data and Q1 optimism. By Q2, the assumptions are wrong. Conversion rates shift. Deal sizes change. The plan stays fixed while reality moves.

Multiple versions of the truth. Sales reports one number. Finance reports another. The board gets a third. When your revenue plan lives in six spreadsheets across three departments, alignment is impossible.

No leading indicators. Most revenue plans tell you what happened. They do not tell you what is about to happen. By the time you see the miss in actuals, it is too late to course-correct.

Spreadsheet fragility. One broken formula. One missed tab update. One departing analyst who built the model. Spreadsheet-based revenue planning scales to a point, then becomes a liability.

ORM eliminates all four. The model stays current because it is connected to your CRM. Everyone sees the same numbers because there is one model. Leading indicators are built into the forecast methodology. And the model is maintained by ORM's team, not a single person on yours.

Frequently asked questions

Revenue planning
What is revenue planning software?+
Revenue planning software helps finance and revenue teams build, maintain, and update revenue forecasts based on pipeline data, historical conversion rates, and bookings patterns. It replaces spreadsheet-based planning with models that update as your CRM data changes.
How does ORM differ from traditional revenue planning tools?+
Most revenue planning tools give you a dashboard and leave you to figure out the model. ORM builds and maintains custom forecast models on your CRM data, operated by a dedicated analyst team. You get the analytical depth of an in-house data team without the headcount.
What accuracy can I expect from ORM's revenue models?+
ORM clients typically achieve 85-95% forecast accuracy within two quarters. The models improve over time as more historical data accumulates and conversion patterns stabilize.
Does ORM integrate with our existing CRM and ERP?+
Yes. ORM pulls data directly from your CRM (Salesforce, HubSpot) and can reconcile against your ERP and billing systems. The models are built on your actual pipeline and bookings data.

Revenue planning your board can trust.

ORM builds custom revenue forecast models for B2B SaaS companies. Not dashboards. A dedicated team that operates the models for you.

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