Every revenue plan has a breaking point.
Orbytal finds it before your board does.
Revenue plans begin decaying the day they're deployed. Orbytal watches your plan against live execution data, names each risk in dollars, and gives you a governed way to fix it, starting the first day you connect.
Why: The plan counts three DACH reqs toward Q3 quota, but none have a start date, and two more reps are still mid-ramp. The quota is assigned; the capacity behind it isn't real yet.
We brought in Orbytal to help us build the go-to-market infrastructure that matches our ambition. Orbytal gave us a data-driven foundation for our ICP modeling, defensible territory assignments, and a framework our reps trust. This partnership was key to scaling from a fast-growing company to the #59 spot on the Inc. 5000.
Your plan started decaying the day you deployed it
Territories drift. Reps ramp slower than modeled. Coverage erodes. The ICP goes stale. None of it shows up in the forecast until the quarter is already at risk.
The plan didn't change. Reality did, one small deviation at a time. All of it was sitting in the data by February, which is when Orbytal flags it.
Six pillars. Every one answers a question you're already asking.
Orbytal decomposes “will we hit the number?” into six pillars of revenue risk, each scored continuously against your live data, and every score breaks down into the specific, named risks beneath it.
Do we have enough qualified pipeline, sourced and progressing, to hit the number?
Watches pipeline coverage, top-of-funnel inflow, deal progression, single-threading, competitive losses.
Do we have enough productive selling capacity to carry the quota we assigned?
Watches headcount vs. plan, ramp curves, quota load, attrition and backfills, hiring bandwidth.
Is the book of business distributed so reps can actually work it?
Watches account distribution, book concentration, coverage gaps, reorg disruption, tier alignment.
Are we selling to the right accounts, and is that definition still true?
Watches ICP definition drift, named-account list quality, routing fit, engagement alignment.
Are we capturing the value we planned to on every deal?
Watches discounting discipline, ASP vs. list, deals below the pricing floor.
Are we keeping and growing the revenue we already won?
Watches renewal coverage, expansion motion, cohort retention, NRR, account health.
Connect your systems. Get your first diagnosis the same day.
Structural risks like phantom capacity, quota over-assignment, coverage gaps, and uncovered renewals are confirmed from your plan and current state. No waiting on months of history to get value.
Connect your CRM and we'll rebuild your plan, even from a rough Excel sheet. Then add your HRIS, finance, sales tools, and the rest of your tech stack as you go; each connection unlocks more of the picture.
In minutesOrbytal resolves your accounts, reps, and pipeline into one picture and runs the first diagnosis: where the plan is structurally off, quantified in dollars, with the cause named.
On day one23 (and growing) defined risk scenarios are continuously watched across all six revenue pillars. When one starts to deviate, you get the why, the dollar impact, who owns it, the window you have to act, and the recommended fix.
Always onEvery diagnosis carries ranked, costed recommendations. Apply one through a governed workflow, or build your own scenario around it and compare both against the plan before you commit.
Governed23 named ways revenue plans break, watched continuously
A metric tells you something moved. A scenario tells you what's wrong, why, what it costs, and who owns the fix. Here are three of the 23, a slate that keeps growing.
Deals are aging past the point where history says they slip or die, and the forecast still counts them. Orbytal flags which ones, and what re-qualifying them changes.
What's actually closing has diverged from the ICP your scoring, routing, and territories were built on. Every fit-based decision degrades quietly until the model is retrained.
Renewals inside the 90-day window have no opportunities or motion behind them. That revenue is exposed today, whatever the churn dashboard says about last quarter.
You already own tools that report the numbers. None of them keep the plan honest.
Every number decomposes. Every prediction gets checked.
Trust in a revenue platform is earned by math you can inspect, and honesty about what the system knows so far.
The Revenue Health score, the pillar scores, and the scenario impacts are the same calculation at different resolutions. Click any headline number and it breaks down into the parts beneath it, always.
Structural findings are confirmed from your plan and data, day one. Behavioral patterns start clearly labeled “learning your data” and sharpen as history accrues. Orbytal never fakes precision.
Every flagged risk is tracked to its outcome: predicted vs. realized. You see how often Orbytal was right, the same standard your CFO would hold you to.
Built for revenue teams who refuse to guess
Measured across Orbytal customer deployments.
Find out where your plan is off
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New from Orbytal Research: How Revenue Plans Break, a field guide to the 23 failure modes →