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Outbound ROI calculator

Most outbound business cases fail because the meeting rate was invented. This one uses measured rates from 389,890 prospects and 15,018 meetings across 41 programmes.

Paul CassidyBy Paul Cassidy, founder of Prospectio.ai. Ex Google, Salesforce and Twilio sales leader. Updated 9 September 2026.
In short: pick the segment and the volume, and the calculator applies measured reply and meeting rates rather than an assumption. The two inputs people get wrong are meeting rate and how many prospects one person can actually work in a month.

Model the programme

The inputs that decide the answer

Two numbers do almost all the work in an outbound business case, and both are usually guessed.

The first is meeting rate. Across our dataset it ranged from 2.7 percent for procurement managers to 6.3 percent for founders and CEOs, and from 3.5 percent at 2,000-plus employee companies to 6.1 percent under 50. A business case built on "let us say 5 percent" is off by a factor of two in either direction depending on who you picked.

The second is volume per seat. A person doing genuine research, writing something specific and answering replies the same day does not work 2,000 prospects a month. Four hundred to six hundred is realistic without automation. This is the number automation actually changes, and it is why the tooling cost line is usually the smallest number on the page.

Meeting rate and deal size point at different people

Company sizeMeeting rateAverage dealRevenue per 1,000 prospects
10 to 50 employees6.1%€11,200€683,200
50 to 2005.3%€14,800€784,400
200 to 5004.6%€19,400€892,400
500 to 2,0004.2%€48,600€2,041,200
2,000+3.5%€102,000€3,570,000

Reply rate falls as company size rises and deal size climbs faster than the rate falls. Pipeline per thousand prospects is five times higher at enterprise, which is the whole argument for a slower, quieter programme. Full figures on the 2026 benchmarks page.

Frequently asked questions

How many meetings should one outbound seat produce per month?

At the dataset's weighted meeting rate of 4.6 percent and a realistic 400 to 600 prospects contacted per seat per month, one seat produces roughly 18 to 28 meetings a month. Segment moves that a lot: founders at companies under 50 people ran above 6 percent, procurement managers at enterprise ran at 2.7 percent.

How do you calculate outbound ROI?

Meetings equals prospects contacted times meeting rate. Pipeline equals meetings times average deal size. Closed revenue equals pipeline times your close rate from meeting to won. ROI is closed revenue divided by total cost, where cost is tooling plus the fully loaded cost of the people running it. The number people get wrong is the meeting rate, which is why this calculator uses measured rates rather than a guess.

What is a realistic close rate from a first meeting?

In B2B software, 15 to 25 percent of properly qualified opportunities close, over a cycle of three to nine months depending on deal size. A cold first meeting is not yet a qualified opportunity. Enterprise runs lower and slower with far larger deals. That figure is for meetings that were properly qualified first. Applied to every first meeting a cold campaign produces, including the curious and the merely polite, 5 to 12 percent is more realistic, and the calculator defaults to 8.

How does automation change the maths?

It changes volume per seat and response speed, not the underlying rates. The rate that automation moves most is the 24-hour response window: replies answered within a day converted to meetings at 21.4 percent against 3.6 percent after 48 hours, and that gap is almost entirely an operational problem rather than a selling one.

Are these numbers guaranteed?

No. They are indexed from a real dataset of 389,890 prospects across 41 programmes, which makes them a far better starting point than a made-up figure, but your product, market and list quality will move them. Run the calculation, then measure the first campaign and replace the estimates with your own.

See it on your own pipeline

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