A pricing view, a guide download, a third visit in a week — most of it lands as an anonymous spike on a dashboard and disappears. That isn't a demand problem. It's a system problem.
Every signal becomes a CRM record with type, source, timestamp and weight — not a pageview that fires once.
One weighted, time-decayed number per account, rolled up across everyone at the company.
AI reads the record — which pages, how often, how recently — and drafts the message around it.
A threshold crossing routes the account, fires the alert and starts the SLA clock automatically.
Intent data goes to waste because it has nowhere to live: a pageview is an event that fires once and is gone. We model intent as a first-class custom object in your CRM — the same way you model deals, contacts and companies.
Because intent is structured data instead of a fleeting event, it can be scored, reported on, automated against and fed to AI. Everything else in the system sits on this object.
A pile of signal records is still noise until someone can answer one question: who is worth acting on right now? Toggle the signals below and watch the score, the band and the routing rule change.
Bands: Cold 0–34 · Warm 35–69 · Hot 70+. Weights and thresholds are calibrated against your own closed-won history, not ours.
Knowing an account is hot is half the job; saying the right thing is the other half. The AI reads the actual signals on the record and writes the follow-up around them.
Reps approve and send instead of writing from scratch, so speed-to-lead holds even at volume.
"Noticed your team hit the pricing page three times this week" — not "hope you're well."
A first content download gets a different message than a repeat pricing visit or a demo request.
Every draft ties observed behavior to the outcome the prospect is chasing — on-brand, on-message.
Generated the instant the signal fires, queued to the owner with the record attached.
One list, sorted by score. Nobody has to be watching a dashboard for the system to work.
Illustrative data. In production this is a CRM view built on the intent object — no separate tool to log into.
Bands from JayOh engagements across B2B SaaS between $5M and $50M ARR. Find your row, then find your column.
| Metric | Weak | Acceptable | Strong |
|---|---|---|---|
| Signals captured as records | <25% | 25–70% | >90% |
| Accounts carrying a live score | <10% | 10–50% | >80% |
| Speed-to-lead on a Hot crossing | >24 hrs | 1–24 hrs | <15 min |
| Followups citing real behavior | <5% | 5–30% | >70% |
| Score-to-won correlation reviewed | Never | Ad hoc | Every quarter |
Two Weak rows is a routing and capture problem, not a demand problem. Three or more and the score would be untrustworthy even if you built it tomorrow.
Put in your own numbers. Every line of the arithmetic stays visible so you can check it against your CRM.
Lift = the difference in opportunity-creation rate between a Hot account worked inside an hour and the same account worked days later. Pick the band you believe.
This is your money, not our fee. The signals are already firing — the only variable is whether anything catches them.
Every signal as structured data on the record.
One number your team can act on today.
AI turns the signal into the message that lands.
Outcomes feed back, so the weights keep sharpening.
We'll map your intent signals, score them against your closed-won history, and show you the followups that convert. Nothing to install before the call.
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.
