Intent signals tell you which accounts are already in-market. Point the same team at those instead of the whole list and conversion rises on demand you've already paid for — that lift, not new spend, is the entire ROI case.
The leak never appears as a line item. It shows up as CAC running higher than it should and pipeline quietly underperforming plan.
Fixing it doesn't require more demand. It requires converting more of the demand you already bought.
The investment is known on day one. The signal volume the system captures grows every quarter it runs.
When intent isn't captured, scored, and acted on quickly, three things happen — and all three hit the P&L.
Then let it go cold. Effective CAC rises because the denominator — won deals — shrinks against exactly the same spend.
In-market accounts that wait hours or days for follow-up convert at a steep discount. The revenue doesn't disappear on paper — it just never books.
Without scoring, reps spread effort evenly across cold and hot accounts. Your most expensive resource works your least likely deals.
This isn't your team's fault — no one can prioritize a signal the system never showed them. Conversion efficiency is where the cheapest revenue in the business lives.
Drag any input. The arithmetic, the bridge, and every downstream number recalculate live.
Start from a preset, then drag to match your funnel.
Presets change all six inputs below.
Set this above your baseline to model an uplift.
250 accounts × 12 months × (6.4% − 4.0%) = 72 opportunities × 25% win rate = 18 wins × $30,000 ACV = $540,000 gross new ARR − $120,000 investment = $420,000 net.
Method: incremental opportunities only. No credit taken for retention, expansion, or reduced acquisition spend — all three move too, none are in this model.
The uplift isn't one lever. It's the same gross ARR viewed as three compounding effects — split as they typically land.
Scoring surfaces in-market accounts that were invisible: anonymous high-intent visitors, third-party intent hits, buying committees acting across several people. Demand that used to slip through is the single largest source of incremental pipeline.
Threshold-triggered routing and alerts collapse follow-up from hours to minutes. Contacting an account while intent is still hot lifts conversion on the exact same lead volume — at no extra acquisition cost.
One Intent Score tells reps who to work first. Effort concentrates on the accounts most likely to close — more meetings and more pipeline per rep, with the headcount you already have.
The score isn't the deliverable. The routing rule behind it is — every row above has an owner, a threshold, and a clock.
Beyond new ARR, an intent system moves the operating metrics finance is measured on. Directions below are what we consistently see land.
Anonymized results from JayOh engagements. Same discipline as the model above — signal in, routing rules, clean data out.
PE-backed vertical SaaS · $32M ARR
416%A $64K investment returned $330K+ in Year-1 gains — recovered from duplicate records, broken routing, and a forecast no one trusted. The intent layer sits on exactly this foundation.
Multi-brand B2B services group · 4 operating cos.
$3.6MAutomated reporting and streamlined handoffs across four revenue teams. No new headcount, no new demand spend — margin recovered from process the system now runs itself.
Across multiple engagements — from conversion efficiency, not cheaper media.
From clean, structured GTM data the board could finally read the same way twice.
Returned from manual reporting to revenue work — roughly a day a week, per person.
Assume the model is optimistic. Cut the modeled uplift and check whether the case still clears — the cost is fixed either way.
Changes how much of the modeled uplift you're willing to believe. Uses your inputs from section 02.
That's the asymmetry: the cost is fixed and known, the upside compounds as the system captures more signal. The risk isn't overspending — it's another year of paying full price for demand you convert at a discount.
Send us your pipeline volume, deal size, and close rate. We'll build the ROI case on your actual funnel and show you exactly which stage is leaking.
A 30-minute working session, not a pitch. You leave with the model either way.
We engineer growth systems. JayOh builds the RevOps architecture, GTM execution and data infrastructure that turn messy revenue operations into predictable pipeline for B2B SaaS and PE-backed teams.
