A domain goes in.
Its real wage bill comes out.
Headcount, an annual wage bill and the per-hour cost of each function, loaded outside-in from public labour data. Defensible numbers you can open a cold email with.
acme.com employs an estimated 1,200 people. Its largest function, customer support, runs at about €27.11 an hour across roughly 340 staff.
- Customer support€27.11/h ~340
- Sales€31.40/h ~180
- Software engineering€58.20/h ~210
The wage bill writes the opener.
Hi there,
From the outside, acme.com looks like it runs around 340 customer-support staff at roughly €27 an hour. That is a serious line on the payroll for work agents handle well.
Worth 20 minutes to see how much of it we can carry?
Open on whichever function fits the prospect. Same enrichment, a real per-hour wage and team size behind every hook, for one company or a whole list.
- SUPPORT€27.11/h · ~340
- SALES€31.40/h · ~180
- ENGINEERING€58.20/h · ~210
Four steps, fully outside-in.
Domain to firmographics
From a domain we estimate headcount and the mix of functions a company runs.
Functions to hourly rates
Public labour-cost data sets a defensible per-hour wage for each function, with a confidence score.
Rates to an annual bill
Rates across estimated headcount roll up into an annual wage bill, broken down by function.
Numbers to a cold email
The wage figures drop straight into an opener, for one prospect or a whole list as CSV.
Sources: eurostat, ons, bls. Numbers are illustrative and outside-in, built to validate against a company's own data.