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How big a human team would it take to match the engine?

Drag the slider to scale a traditional sourcing team — SDRs, dialers, ops — and watch how the numbers stack against Acquisition Atlas running one, two or three mandates in parallel. Spoiler: cost catches up long before output does.

A traditional sourcing team
8SDRs & dialers on payroll
Acquisition Atlas
1engine, 1 mandate
8
11050100200
Drag — or click anywhere on the bar
Cold emails sent, per month
4,800
30,000
Outbound dials, per month
8,800
105,000
Warmed sending domains
4
50
Unique targets touched, per month
2,240
12,000
Fully-loaded monthly cost
$60k
$20k
Per-person assumptions: 600 emails / 1,100 dials / 280 unique targets a month, $7,500 fully-loaded monthly cost. Atlas figures are per active mandate — we add a parallel mandate at every 50-person threshold.
How the math works

The assumptions behind the bars.

Every input here is anchored to a published industry benchmark — not a vendor pitch deck. The point isn’t to win an argument. It’s to be honest about where a human-staffed sourcing team can keep up, and where it physically can’t.

Per human SDR / dialer, per month
  • ~600 personalised cold emails
  • ~1,100 outbound dials (≈50 per working day, net of gatekeepers, voicemail and admin overhead)
  • ~280 unique targets meaningfully touched across multiple channels
  • ~$7,500 fully-loaded monthly cost (salary, benefits, tooling, management overhead, ramp)
Per Acquisition Atlas mandate, per month
  • ~30,000 warm emails across 50 authenticated sending domains
  • ~105,000 outbound dials (~4,800/day across the bot network, 22 working days)
  • ~12,000 unique targets touched in coordinated cadences
  • ~$20,000 fully-loaded monthly engine cost, per mandate

Atlas scales into a second parallel mandate past 50 humans on the comparison side, and a third past 100 — modelling the natural way the engine scales when a firm runs more theses simultaneously. The cost line crosses Atlas long before output ever catches up, which is the whole point of the chart.

When the math doesn’t close

Talk through your own numbers.
Thirty minutes, no obligation.

The calculator is a useful starting point. The conversation is more useful — tell us the sector, the thesis, the team size today. We’ll show what coverage at our scale actually looks like against your specific universe.