Feature · Staffing Likelihood Score

One score that tells you if they buy staffing.

Behind every Staffing Likelihood Score is a cross-reference of 40+ data points from 31 sources, weighted specifically for staffing, plus a human verification layer nobody else has. One score. Staffing-specific. Human-verified.

The problem

Generic intent scores don't know staffing from SaaS.

Your reps call through a list, book a few meetings, and somehow half the accounts were never going to buy staffing in the first place. Nobody flagged it. The "intent scores" came from a tool that tracks generic B2B buying signals, content consumption, website visits, software topic engagement, not whether a company actually buys temp, contingent, or perm labor.

ZoomInfo Intent, Bombora, 6sense, Apollo, they all score the same way. That might tell you a company is thinking about buying software. It tells you nothing about whether they're about to fill 30 contract positions next month, or whether they quietly replaced their staffing vendor three weeks ago. Staffing needs staffing-specific scoring. Until myScout, nobody built it.

If you're selling staffing to enterprise accounts, or running a direct-hire desk, this is the gap that's been quietly wasting your week.

How it works

One score. Built for staffing. Human-verified.

Every company profile in myScout gets a Staffing Likelihood Score on a 0–100 scale, backed by a full audit trail of the signals that drove it.

Keystone Packaging Co.
Manufacturing · 640 employees · Lehigh Valley, PA
Staffing Likelihood Score
High · human-verified
92
TOP 3 SIGNALS DRIVING THIS SCORE
18 active contingent job postings · VMS-managed (Beeline) · Announced 200-person Q3 ramp
Data Points Analyzed
47
Sources Cross-Referenced
31
Human Review
✓ Verified
Sample company profile · data shown is illustrative
What's inside the score

Dozens of signals. Weighted for staffing.

Generic intent tools lean on 4–6 content-consumption signals. We cross-reference 31 sources and 40+ data points per prospect, everything from job-posting patterns and VMS/MSP footprint to hiring velocity, org-chart shifts, vendor-roster disclosures, and executive movement.

Then a human verification layer reviews the algorithm's output before it hits your dashboard. No other scoring tool does this. It's slower. It's better. It's the difference between "this company matches a pattern" and "this company is buying staffing right now."

You don't see 31 scores. You don't see 40 charts. You see one number, a confidence band, and the top three signals driving it, so your reps spend their day calling, not interpreting dashboards.

What changes for your team

Three things your team does differently.

Rank your call list

Sort the territory by Staffing Likelihood. Work the 80s and 90s first. Skip the 20s. Your week just got 3x more productive without adding a single hour.

Trust the score, not the template

A 92 tells you to call today. A 34 tells you this account isn't where to spend the morning. Your reps stop second-guessing their list and start working it.

Show your team the math

Every score shows the three signals driving it, so reps walk into calls knowing exactly why this account matters right now. No more "just trust the algorithm."

Founder's note

“After 20 years in staffing, I watched reps spend half their week on accounts that were never going to buy. Every scoring tool we bought was built for SaaS. I finally built the one I wish we'd had.”

Tiffany Scott, Founder & CEO, myScout

See it on your accounts

Stop ranking accounts by vibes.
Start ranking them by score.

50 free credits. No card. Run your top 20 target accounts and see which ones are actually worth the week.