Most outbound fires the same message at a static list and hopes timing lines up. The prospects who were ready last quarter are gone; the ones ready today never get flagged.
We build and run a signal-based outbound engine on Clay — it watches for the events that predict intent, enriches the account in real time, and triggers the right sequence while the signal is still hot.
You don't need more volume. You need a system that reacts to buying behavior the moment it happens.
You've probably already bought the tools — you may already have a Clay seat. The gap isn't tooling; it's the system those tools are supposed to sit inside.
A new exec hire, a raise, a job posting for the role you sell into, a competitor being ripped out. They happen daily inside your market. By the time anyone notices manually, the window is closed.
~11% of qualifying events, spotted by hand
Titles change, companies pivot, priorities shift. You personalize off data that was true three months ago, so "personalized" outreach still reads generic.
Day 0 → day 180. Every touch after that is a guess.
Even when a good signal surfaces, there's no automated path from signal → enriched → scored → routed → sequenced. That human is the bottleneck, and the bottleneck can't scale.
Manual research 62% · admin 17% · live conversations 21%
The result: reps spend the day on research instead of conversations, your best signals expire unused, and outbound stays a volume game you're trying to win by working harder.
The old model builds a list, blasts a sequence, measures reply rate, rebuilds the list. The new model listens before it speaks.
Clay is where signals get detected, enriched across 100+ sources, scored, and handed to sequencing with no human in the loop. But Clay is a workbench, not a strategy — left alone it becomes another expensive tool nobody fully operates. We architect the system, build it in Clay, and run it.
Most teams can describe the first two steps. Almost none can run the full chain automatically — that's what we deliver.
100%
< 60s
A signal is any observable event that raises the odds a company is in-market. Each type gets its own detection logic, scoring weight, and sequence.
That's the difference between "we do intent data" and a system that turns a specific event into a specific, timely, relevant touch.
Personalization fails when it's cosmetic. Here the reason for the outreach is the signal, so relevance is built in, not bolted on.
The first line names the actual trigger — the hire, the raise, the tech change. It reads like you were paying attention, because the system was.
One clear reason this event means you're worth a reply. No feature dump, no paragraph about your company.
Email and LinkedIn working together, timed to the freshness of the signal. Hot signals move fast; slower ones nurture.
Opens, clicks and replies re-route the prospect. Engaged contacts accelerate; cold ones drop to a lighter touch instead of getting burned.
A reply lands enriched, scored and routed — the rep picks up a warm conversation, not a research project.
Signal-led email
Opener quotes the trigger. One ask.
LinkedIn view + connect
Same person, same reason, different surface.
Accelerate
Cadence compresses to 48h, rep alerted in Slack.
Second signal or drop
Re-enters only when a new event fires. No burn.
Set four numbers from your own funnel. The arithmetic is shown so you can check it.
Weak <20%
Acceptable 20–45%
Strong 45%+
You are here: WEAK · median across 100+ engagements at first audit: 14%
Fixed assumptions, editable in a working session: 35% of target accounts fire a qualifying signal per year · 6% of acted-on signals become a meeting · 45% of meetings become an opportunity · engine catches 78% of qualifying signals.
$0
new pipeline per year from signals you already generate and currently miss
$0
0
Signal volume, catch rate, and meetings by signal type — so retiring a weak signal is a decision, not a hunch.
No handoffs, no "here's your login." You get a system that reacts to your market automatically — and a team that owns whether it works.
We map your ICP, buying triggers and motion, then design the signal-to-sequence system end to end before touching a tool.
Signal detection, enrichment waterfalls, scoring models, contact resolution, dedup and CRM sync — configured, tested, documented.
Multi-channel plays wired to each signal type, with branching logic and clean routing into your existing sales workflow.
We run the engine: watch what converts, retire what doesn't, add signals as your market moves, tune scoring so quality compounds.
A Clay shop leaves you a workbench and a login. A strategy firm hands you a deck about "intent-based GTM." Neither owns whether meetings get booked.
Builds tables and enrichment
Hands over documentation
No strategy, no sequences
No ownership of outcomes
Frameworks and an ICP deck
Workshops, then an invoice
Doesn't build the system
Doesn't run it after launch
Architects the signal system
Builds it in Clay, tested + documented
Wires sequences, branching, routing
Operates it and owns the number
The signal engine doesn't sit in a silo — it plugs into how leads get routed, how pipeline gets tracked, and how revenue gets attributed back to source.
From click to close — we own the system.What that system has produced across engagements:
$2.2M
pipeline generated in the first 90 days from a demand engine built from scratch
$3M
influenced pipeline from a 30-day ABM acceleration program
80+
SQLs from a single 30-day targeted program
−68%
cost per lead, through tighter targeting
−90%
data errors across the GTM stack
5.8 hrs
saved per week, per rep — manual research and reporting removed
100+ engagements across B2B SaaS and PE-backed portfolios · founded 2016 · operates across 60+ tools in the GTM stack.
Clay is a workbench, not a strategy. A seat isn't a system that detects signals, scores them, and runs sequences without someone babysitting it. Most Clay accounts run at a fraction of what the tool can do — we build the system and operate it so the seat pays for itself.
Intent data is one input. A signal-based system detects the event, enriches the account, scores it, resolves the contact, writes off the signal, sequences across channels and routes the reply — automatically. Intent data tells you someone might be looking. The system does something about it in time to matter.
No. It removes the part of their day that doesn't need a human — manual list-building, research, guessing who's ready. Reps spend their time on live conversations with prospects who are already flagged, enriched and warm.
We design for 90-day impact. Early sprints stand up the first signals and sequences; by the end you have a running engine with plays tuned against real results — not a pile of unfinished automations.
Yes. The engine plugs into your CRM and sales tooling rather than replacing it. Signals in, enriched and scored, sequenced, and routed back into the workflow your reps already use.
If your best buying signals are expiring unnoticed and your reps are drowning in manual research, that's not an effort problem. It's a system problem — and it's fixable.
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.
