AI Account Scoring for Sales Teams

Rank every prospect by the signals that closed your last deal

Leadbay reads buying intent across your open accounts, scores them by what preceded past wins, and drafts the first touch in your rep's own voice.

The list your team got this morning has 200 accounts. By noon, they will have touched 18.

Most sales teams send reps into the week with undifferentiated lists and no signal on which accounts are actually ready to buy.

Undifferentiated lists waste time

Every rep gets the same spreadsheet. No signal separates the accounts that are ready to buy from the ones that went cold six months ago.

No signal means no context

Without knowing what changed at an account, reps reach out cold. The right timing exists in the data, but nobody is reading it.

Generic first touches get no reply

Template emails that ignore what changed at the account are ignored in return. Personalization at scale is the gap most outbound teams cannot close.

How It Works

Signal-first scoring in three steps

01

Leadbay ingests buying signals

Job board postings, company news, funding announcements, and web activity are pulled in and normalized across your open accounts.

02

Scoring trained on your closed-won history

The model compares each account against the patterns that appeared before your own past wins. Your data defines the weights, not an industry benchmark.

03

Your list ranked, first touch drafted

Accounts sorted by readiness. For each, a first-touch email drafted in the rep's own voice, referencing the signal that drove the score.

Signal Ingestion Job boards, news, web activity Closed-Won Scoring Trained on your wins, not industry averages Ranked List + Draft Rep's voice, signal-referenced

Product

See exactly why each account is ready

Leadbay shows the signal breakdown behind every score so your rep walks into a call already knowing what changed at that account.

  • Signal breakdown per account: know which signals drove the score
  • Voice-matched draft: AI reads your rep's sent history before writing
  • CRM-ready: one click to push the ranked list to Salesforce or HubSpot
Vertex Cloud Score 94

Signal breakdown driving this score

Executive hiring (+3 ops roles) High weight
Funding announced (Jan 2026) Medium weight
Job board postings (+4 in 30 days) Medium weight

AI draft in Jordan's voice

Hi Mike, saw that Vertex just brought on three ops leads this quarter. When teams scale that fast, the outbound motion usually needs to keep pace. Happy to show you how we help teams in your position...

Capabilities

Built for how SDR teams actually work

Scoring trained on your closed-won data

Not industry averages. Your wins define the weights. The model learns from the signals that preceded your own past deals, not a generic benchmark.

11 signal types, ingested in real time

Job boards, company news, web activity, funding data, and more, normalized across all open accounts so every rep sees the same picture.

First-touch drafts in each rep's voice

AI reads each rep's sent email history before drafting. The output sounds like the rep, references the signal, and does not require editing before sending.

One-click CRM sync, no copy-paste

Push ranked lists directly to Salesforce and HubSpot. Scores and signal notes land on the account record. No manual transfer between tools.

Simple pricing for outbound teams

All plans include a 14-day free trial. No credit card required to start.

Starter

$79 / month

1 rep seat, 300 accounts scored per month

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Most Popular

Team

$219 / month

Up to 5 rep seats, 2,000 accounts scored per month

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Scale

$449 / month

Up to 15 rep seats, 8,000 accounts scored per month

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Join the first teams building a signal-first outbound motion

We are in early access and working closely with the first teams using Leadbay. Independently funded, Austin TX.

Get started today

No commitment. 14-day free trial.