Company Buying Signal Monitor

Score any list of companies for buying intent — hiring growth, funding, leadership changes, and technology moves — and get back a ranked, sales-ready account list. Live hiring growth is measured straight from each company's public careers board, so you see accounts heating up before your competitors do.

What you get

One dataset record per company, sorted hottest first:

• Buying intent score: 0–100, weighted across funding (35), hiring growth (30), leadership (20), and technology (15) signals
• Grade: hot (60+), warm (30+), or watch — drop it straight into a CRM view or lead-routing rule
• Signal count and full signal list: every signal that contributed to the score, with its title, type, date, and source URL
• Reasons: plain-English lines like Open roles increased 140% (5 to 12) you can paste into an outreach sequence
• Hiring growth, measured live: current open-role counts pulled from public Greenhouse, Lever, and Ashby boards and compared against the baseline you pass in
• Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console

Use cases

• Account prioritization — work the hot accounts first instead of guessing which of 500 targets is in-market
• Outbound triggers — fire a sequence the week a target company's headcount plan expands
• Territory and ABM planning — score a full target account list on a schedule and watch the ranking move
• Sales and marketing alignment — hand SDRs a scored list with the reason each account surfaced
• CRM enrichment — write the score, grade, and reasons back onto account records for routing and reporting

How to use

1. Add your Companies — each with a name, and optionally atsSource (greenhouse, lever, or ashby) plus atsBoard so hiring growth can be measured
2. Set baselineOpenRoles per company to the open-role count from your previous run — that's what the growth signal compares against
3. Optionally add Supplied signals — funding rounds, exec hires, or tech changes your workflow already collects
4. Run the actor — scored companies appear in the Dataset tab, highest intent first

{
  "companies": [
    { "name": "Example Inc", "atsSource": "greenhouse", "atsBoard": "example", "baselineOpenRoles": 5 }
  ],
  "signals": [
    { "company": "Example Inc", "type": "funding", "title": "Raised $40M Series B", "detectedAt": "2026-08-01" }
  ]
}

Run it on a schedule and store each run's open-role counts, then feed them back as baselineOpenRoles next time. That turns a one-off score into a trend line.

Output format

{
  "company": "Example Inc",
  "buyingIntentScore": 72,
  "grade": "hot",
  "signalCount": 2,
  "signals": [
    {
      "company": "Example Inc",
      "type": "hiring_growth",
      "title": "Open roles increased 140% (5 to 12)",
      "value": 7,
      "sourceUrl": "example"
    },
    {
      "company": "Example Inc",
      "type": "funding",
      "title": "Raised $40M Series B",
      "detectedAt": "2026-08-01"
    }
  ],
  "reasons": ["Open roles increased 140% (5 to 12)", "Raised $40M Series B"],
  "scoredAt": "2026-08-12T04:15:00.000Z"
}

FAQ

Do I have to supply signals myself? No. With just a company name and its public careers board, you get hiring-growth scoring automatically. Supplied signals stack on top for a fuller picture.

Why did a company score 0? No signals matched it. Hiring growth only fires when a board has at least 3 open roles and more than its baseline — so a flat or shrinking headcount plan correctly scores nothing.

Which careers boards are supported? Public Greenhouse, Lever, and Ashby job boards. Companies without one still get scored on the signals you supply.

Can I run it on a schedule? Yes — schedule it weekly, store the open-role counts, and pass them back as baselines to track intent over time.

What is Fixture mode? A deterministic sample run that returns example data without calling any live board — useful for wiring up an integration before pointing it at real accounts.