Precision Outbound

How We Know
Who's Ready To Buy

We find the accounts worth reaching now and write to each one from facts we've checked.

  • Your reps spend their time on accounts in a buying moment.
  • Your outreach goes to fewer, better-chosen accounts, so more of them reply.
  • You reach buyers before they show up on everyone else's list.
Inside The Engine

Watch How We
Pick Who To Reach

It Starts With
Who Already Bought From You

We learn what was true of your best customers before they signed, then watch for that pattern across three kinds of signals.

01

Your Data

CRM activity and deal stages, wins and losses, product usage going up or down, website visits, and pricing-page views.

02

Standard Market Signals

Website visitor identification, social engagement, funding rounds, hiring, job changes, tech-stack changes, and news.

03

Custom Signals

Signals built for your market from public data nobody has put together.

Custom Signals Find
The Buyers Others Miss

Standard signalsCustom signals
Where It
Comes From
Easy-to-buy data from third-party vendorsPublic data we research just for your market
Who Else
Sees It
Any competitor who pays the same vendorsAlmost none of your competitors
When You
Reach Out
They already get emails from everyone using that dataYou have a reason to write that others don't, so more reply
Client A · Financial Services

Two Brokers, Same Vendor Rating, Ranked 1st And 19th

A data vendor put two brokers in the same top tier. Scored on public data like complaints and their own websites, one ranked 1st of 25 and the other 19th.

Free toolBuying Signals Report CardGrades whether your signals find real buyers or send your reps chasing noise.Grade Your Signals

Every Score Triggers The Right Next Step

Top accounts get individually researched outreach.

01

Combine

One signal overstates intent, so we look for several together before an account moves up the list.

02

Weight

Each signal counts for as much as it predicts buying in your market, and no more.

03

Decay

Signals fade at their own pace, so a pricing-page visit from three months ago counts for less than yesterday's.

04

Check The Pipeline

Customers, open deals, and anyone who said no are left alone, and a no on LinkedIn means no email.

Example recordJ. Bennett, VP of Marketing
Pricing-page visitWebsite visitor ID · 6d ago
+67.5
Positive reply to outreachEmail sequencer · 12d ago
+64
Repeat website visitWebsite visitor ID · 8d ago
+44
Funding round announcedCompany data · 45d ago
+37.5
Webinar attendanceCRM · 20d ago
+30
Score243
Threshold of 200 met. The play fires.
Examples of plays your
signals can trigger
Play 01

High Intent, Never Contacted

When
Signal score crosses your threshold
Never been in a sequence
Not a current customer
Not on a do-not-contact list
Then

They enter the right sequence automatically, with a first line written from what they actually did.

Play 02

Warm, And Going Cold

When
Replied positively before
No touch in the last 30 days
Score still above the line
No open deal on the account
Then

The rep who owns them gets the full record and history, with a follow-up task created in your CRM.

Play 03

In Your Pipeline, And Heating Up

When
Open deal, not yet closed
Score spikes mid-deal
New stakeholder appears at the account
Then

The deal owner gets a heads-up with a summary of what changed on the account.

Play 04

Closed-Lost, And Back In Market

When
Lost the deal six months ago or more
New signal activity at the account
An executive or tech change since you lost
Not on a do-not-contact list
Then

It routes back to whoever had the relationship, with a summary of what has changed since you lost the deal.

We verify the facts first and AI writes last, so every email reads like someone did their homework.

What Each Signal
Is Worth

Each signal gets a weight for how well it predicts buying and a decay curve for how fast it goes stale.

Signal
Source
Weight
Decays over
Demo request submitted
Your CRM / web forms
+85
Decays over 180 days
Positive reply to outreach
Your email sequencer
+80
Decays over 60 days
Pricing-page visit
Website visitor ID
+75
Decays over 60 days
Booking page opened, meeting not booked
Your scheduler
+70
Decays over 60 days
First reply on LinkedIn
LinkedIn tooling
+65
Decays over 60 days
Live chat started
Your website chat
+65
Decays over 60 days
Repeat website visit
Website visitor ID
+60
Decays over 30 days
Call connected
Your CRM dialer
+60
Decays over 60 days
Past champion changed jobs
People data
+55
Decays over 180 days
Funding round announced
Company data
+50
Decays over 180 days
First inbound email
Your CRM
+50
Decays over 60 days
Tech-stack change
Company data
+50
Decays over 60 days

Negative signals count too. A no‑show, an opt-out, or a “not interested” reply pulls the score down.

Example weights. The real model is tuned to your ICP and your market.
Where The Signals Come From
CRM
HubSpotSalesforcePipedrive
Email outreach
InstantlySmartleadEmailBison
Website visitor ID
RB2BVectorWarmly
LinkedIn & social
HeyReachSocial monitoring
Company & people data
ClayCrunchbaseAI ARKSumbleBuiltWith
Your product
MixpanelPostHogAmplitude

Built For You To Own

Your domains, data, scoring model, and playbooks stay with you if we part ways. Precision Outbound is built on NimbleBrain's open-source AI platform.

What access do you need?

Access to your CRM, plus time with you on your offer and your best customers. We send from separate domains we set up for you, so your main domain stays out of cold email.

Who can see our data?

Only our team, inside a workspace that belongs to your company alone.

How are opt-outs handled?

Every unsubscribe and every no is suppressed across channels, so someone who says no on LinkedIn never gets an email.

See The Signals
In Your Market