Leadership Change Tracker — New Exec Hires & Job Changes avatar

Leadership Change Tracker — New Exec Hires & Job Changes

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from $20.00 / 1,000 leadership changes

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Leadership Change Tracker — New Exec Hires & Job Changes

Leadership Change Tracker — New Exec Hires & Job Changes

New executive hires and job changes as buying signals: who just took which role at which company, where they came from, when it happened, and who to sell to. One row per change, merged across every outlet that reported it, with what is new since your last run. Dataset-only, MCP-ready.

Pricing

from $20.00 / 1,000 leadership changes

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inovaflow

inovaflow

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16 hours ago

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A new VP has ninety days to prove they were the right hire. In those ninety days they re-examine every tool, every agency and every vendor their predecessor picked — and they are the person who signs. That is why "new executive hire" sits next to "just raised" at the top of every outbound playbook, and why the advice is to reach out inside thirty days.

The problem is finding the moves. This Actor does: who just took which senior role at which company, where they came from, when it happened, who to approach, and what is new since your last run.


Who it is for

  • Outbound and SDR teams — a daily or weekly feed of new CROs, CMOs, VPs of Sales and Heads of Data, with the opening line written for you.
  • AI / GTM agents — one call, a flat dataset, no login and no key. person, newTitle, company, domain, sellTo, buyingWindow, whyNow, signalScore are all on the row.
  • Account teams — be told the day your champion leaves, or the day a new decision-maker lands on one of your target accounts.
  • Recruiters — an executive move is usually followed by a team build-out.
  • Investors and analysts — leadership churn across a portfolio or a market, as data.

What makes it different

A people scraperThis Actor
Row shapeone row per profileone row per change — person, role, company, when
Where it looksone sourceannouncements and the company's own leadership page
Duplicatesfive outlets, five rowsone row, with every source URL and a mentions count
Over timenothingisNewSinceLastRun, replacedPerson — the delta an agent acts on
Outputcontact datathe signal: sellTo, buyingWindow, whyNow, a 0–100 score
Accessusually needs cookies or a loginnothing private, ever

What you get per change

{
"person": "Nicole Bello",
"newTitle": "Chief Revenue Officer",
"company": "Dext",
"domain": "dext.com",
"seniority": "c-level",
"department": "sales",
"changeType": "appointed",
"previousCompany": "Zillow",
"previousTitle": "VP",
"announcedDate": "2026-09-09",
"effectiveDate": "2026-10-01",
"daysSinceChange": 3,
"signalScore": 93,
"signalTags": ["new-cxo", "new-vp-sales", "budget-authority", "external-hire",
"announced-this-week", "widely-covered", "new-since-last-run"],
"sellTo": ["Nicole Bello — Chief Revenue Officer", "Their direct reports (VPs and Heads of Sales)",
"Chief of Staff / Executive Assistant (for the intro)", "Head of RevOps / Marketing Ops"],
"buyingWindow": "Reach out now — inside the 30-day window when a new leader is still choosing their tools",
"whyNow": "Nicole Bello joined Dext as Chief Revenue Officer 3 days ago, from Zillow — they bring their old stack with them and re-evaluate the new one.",
"isNewSinceLastRun": true,
"replacedPerson": "John Roe",
"mentions": 4,
"sourceUrls": ["https://…", "https://…"]
}

Three dataset views are built in: Leadership changes, Outreach and New since last run.


Use it in three ways

1 · Discover every change by title. Name the roles whose new holder is a buyer for you:

{ "titles": ["Chief Revenue Officer", "VP of Sales", "Head of Growth"], "daysBack": 30 }

Leave titles empty and it covers the whole executive bench.

2 · Watch your target accounts. Paste the companies and be told when anyone senior joins, is promoted or leaves:

{ "companies": ["gong.io", "ramp.com", "hubspot.com"], "seniority": ["c-level", "vp"] }

With domains it also reads each company's own leadership page — which is how it catches the VP hire that never got a press release.

3 · A scheduled feed of what changed. Set a watchId, turn on onlyNewSinceLastRun, schedule it. The first run stores who holds what; every run after it returns only the people who are new in a role, plus the seats that changed hands.


How the signal is built

  • Merge, then report. One appointment is written up by the company, two trade outlets and a wire service, each wording it differently. They become one row with a mentions count and every source URL — and wide coverage is itself a signal.
  • Remember, then diff. Each watch keeps a private memory of who holds which role at which company. That is what powers isNewSinceLastRun and replacedPerson: the change, not the roster.
  • Two sources, two kinds of move. Announcements catch the moves that get written up; the company's own leadership page catches the quiet ones. A row says which found it.
  • Departures count too. An empty seat means the interim owner is deciding now and the successor will re-evaluate every vendor. Turn them off with one switch if you only want arrivals.

Chain it

Then runTo get
Email Finder & Verifierthe new executive's work e-mail
Decision-Maker Finderthe rest of their leadership team
Recently Funded Companieswhether the hire followed a raise — two triggers beat one
Ad Activity Trackerwhether the new marketing leader has already turned the ad spend up

Notes

  • No login, no cookies, no API key, and no other paid Actor is ever started.
  • Everything read is public: announcements and the companies' own pages.
  • A change with no person named ("Acme names new CFO") is still delivered — the seat moved, and that is the trigger. One switch filters those out.
  • Company domains are confirmed from the company's own homepage, so a row can be enriched straight away.

Pricing

Pay per event: you pay per delivered change. Duplicate reports of the same move and empty runs are never charged. See PRICING.md.