Cost per meeting calculator
What one sales meeting from cold outbound actually costs, once the hours are priced in. Defaults use the reply rates we measured across 1,413,405 sends.
Your numbers
Sending volume
Separate mailboxes, not domains. Two mailboxes per domain is the usual ratio.
20 to 30 is the sustainable band for a warmed mailbox. Higher numbers buy volume by spending reputation.
Weekdays only, in most programs.
Conversion
Default 0.48% is our measured rate across 1,413,405 sends, counting only replies a person actually wrote. If you are reading a rate off a dashboard it probably includes auto-responders and is several times higher than this.
Default 21.8% from the same dataset, and it is a floor rather than a measurement: marking a reply as positive is a human action taken inconsistently across accounts, so the real share is somewhat higher. The rest are referrals, not-nows and clear noes.
Neutral starting value. This one depends on your booking process and your no-show rate, and it is not something a sending platform can measure.
Monthly cost
Loaded cost of the time actually spent on this: list building, copy, inbox management, replies. Usually the largest line and the one most often left out.
Compare
What a pay-per-meeting arrangement would charge for the same meeting.
Result
The comparison
| Running it yourself | $7,200 a month |
| Buying 2.8 meetings at $1,000 | $2,768 a month |
| Difference | $4,432 more in-house |
Two things this deliberately does not do. It does not count the months of warming and iteration before the first meeting arrives, which is where most in-house programs actually spend their money. And it assumes your reply rate is the one you typed. If you have not measured yours with auto-responders excluded, the number in your dashboard is not it. Here is what we measured across 1,413,405 sends.
The number most teams get wrong
It is the reply rate, and it is wrong in a specific direction. The reply counter in a sending platform counts out-of-office messages, auto-acknowledgements and mailbox robots as replies, because that is the default setting. Across our own portfolio that counter overstates the number of human replies by 2.86 times.
Plug a dashboard reply rate into a model like this one and the meeting count comes out several times too high, which makes cost per meeting come out several times too low. The default in the field above is the human-only rate, measured by reading every reply and classifying it.
Once you have a meeting count you believe, the cold email ROI calculator takes it through to closed revenue and payback.
Questions
- What is a good cost per meeting from cold email?
- It depends almost entirely on deal size, so a single benchmark number would be misleading. The useful test is proportional: if one closed deal contributes several thousand in gross profit and you close a fifth of held meetings, a meeting is worth several hundred to you. Compare your calculated cost against that, not against someone else's cost.
- Why does the people cost matter so much?
- Because it usually dominates and it is usually excluded. Tooling, inboxes and data are visible line items on a card statement. The hours spent building lists, writing copy, managing deliverability and working replies are not billed anywhere, so in-house cost per meeting is routinely understated by a large multiple.
- Where do the default conversion rates come from?
- The reply rate and positive-reply share are measured from our own sending: 1,413,405 emails across 356 campaigns, counting only replies a person actually wrote. The rate at which a positive reply becomes a held meeting is a neutral starting value, because that depends on your booking process rather than on the email.
- Does this include the ramp-up period?
- No, and that is the calculation's main limitation. Domains need warming, copy needs several iterations against real replies, and the first months typically produce cost with no meetings. A steady-state cost per meeting understates the true cost of starting a program from nothing.