Free tool

Cold Email Calculator

Run the funnel forwards from daily volume to booked meetings, or backwards from a meetings target to the sends and mailboxes it takes. With the mailbox safety check most calculators leave out.

Enter what you send today and see what comes out the other end of the funnel.

Volume

Sending capacity is a mailbox problem before it is a copy problem. Set these first.

Total across all mailboxes, first touches plus follow-ups
Warmed inboxes, usually 2 to 3 per secondary domain
Days you actually send on: 22 is a normal month, 20 if you skip Fridays
Sending tool, mailboxes, data, enrichment
$

Conversion rates

Defaults are conservative benchmarks for a verified mid-market list. Replace them with your own numbers as soon as you have 5,000 sends of data.

Share of sends that reach the inbox, not spam
85%30% to 100%
Directional only, pixel blocking makes this unreliable
40%0% to 100%
All replies as a share of delivered mail. 1 to 5 percent is the realistic band.
3%0% to 40%
Share of replies that are interested rather than a no or an unsubscribe
20%0% to 100%
Share of interested replies that become a booked call
50%0% to 100%

Funnel for the period

300 emails a day across 22 working days.

17
Meetings booked in the period
392 emails sent per meeting
Total sends in the period
6,600
Delivered to the inbox
5,610
Opens
Treat as a trend line, not a metric
2,244
Replies
168
Positive replies
34
Meetings booked
17
Cost per meeting
Tools and data only, no rep salary
$36
Caution: 50 emails per mailbox per day
This works on well warmed domains with clean lists, and breaks on everything else. Add 4 mailboxes to bring the load back to 30 a day.

Mailbox load

300
Emails per day
50
Per mailbox, per day
10
Mailboxes to run it safely

You are short 4 mailboxes for this volume. Buy the inboxes before you buy more data: sending the same list through too few inboxes burns both.

How this works

The formula, and the denominator most people get wrong

Meetings equal sends times inbox placement times reply rate times positive reply share times the rate at which positive replies become calls. The trap is applying reply rate to sends instead of to delivered mail. If 15 percent of your volume lands in spam, a 3 percent reply rate measured on sends is really 3.5 percent of the mail that actually arrived, and every number downstream inherits the error. This calculator applies every rate to delivered mail, and it runs the same compounded rate in both directions, so the daily volume it gives you in reverse mode returns your meetings target when you type it back into forward mode.

Why 50 emails per mailbox per day is the wall

Mailbox providers score sending behaviour per inbox, not per campaign. Under about 30 a day a warmed mailbox on a healthy domain sits comfortably inside normal human volume. Between 30 and 50 you are relying on list quality and warmup to hold the line. Past 50 the reputation damage compounds, and it follows the domain long after you drop the volume back down. The fix is always horizontal: more mailboxes across more secondary domains, usually two or three inboxes per domain, never more sends per inbox. Budget around 10 dollars per mailbox per month for the domain, the licence, and warmup, before your sending tool.

Benchmarks worth using as a starting point in 2026

Reply rates have fallen every year that cold email has been automated, so plan low. On a verified list with genuine personalisation, expect 75 to 90 percent inbox placement, 1 to 5 percent total reply rate (3 percent is a good result, not a floor), 10 to 25 percent of those replies actually positive, and 40 to 60 percent of positive replies converting to a booked call. Compounded, that is one meeting per 400 to 800 sends in the middle of the range, and past 2,000 when the list is weak. Anything claiming a 10 percent reply rate is quoting a tiny hand-built list or counting out-of-office autoreplies. Open rate is in the tool for completeness only: privacy proxies inflate it, and it should never be the metric you optimise against.

Cost per meeting is the number to argue about

Tool and data spend divided by meetings booked gives you a floor, not the true cost, because it excludes the rep time spent handling replies. Compare it against your average deal value and win rate: if a meeting costs 200 dollars, you close one in five, and a deal is worth 8,000 dollars, then each deal costs 1,000 dollars to acquire and outbound pays for itself eight times over, so the constraint is capacity rather than economics. If the same maths gets you close to breakeven, adding volume makes the problem bigger. Fix the list and the offer first.

A calculator models the funnel once. Dalil runs it every day.

Dalil is the CRM and the sending engine in one: multichannel sequences across email, LinkedIn, and WhatsApp, AI scoring on every reply, and analytics that show your real placement, reply, and meeting rates instead of the ones you assumed.