The Reply-Leak P&L

For agency operators running multi-platform outbound. Plug in the volume; get a read on which side-channel is doing the most damage and what the dollar figure is hiding.

Combined across all client campaigns and platforms.
All replies, positive or otherwise. Cold outbound averages 0.8–2.5%.
22%
LinkedIn DMs, forwarded threads, replies to a teammate's address, OOO redirects, replies from secondary domains the unibox doesn't track.
First-engagement value of a closed client.
All-in: positive reply → meeting → signed deal.
Used for per-client breakdown.

The read

Reading the inputs…

The math

Total replies generated
Replies that miss the primary unibox
Deals lost to missed replies
Avg leak per client
Revenue leaking / month

Annualized: —

How this is calculated
  • Total replies = monthly send volume × reply rate.
  • Leaked replies = total replies × % landing outside the primary unibox. The leak% range reflects what agencies running 4+ outbound platforms (Instantly, Smartlead, Apollo, Luella, HeyReach, Expandi) consistently see — 15–30% of replies arrive in side-channels the central unibox doesn't surface.
  • Deals lost = leaked replies × close rate. Conservative — assumes leaked replies would have closed at the same rate as captured ones, even though missed replies often signal higher buying intent (someone bothered to forward, OOO, or reply on LinkedIn).
  • Revenue leaking = deals lost × avg deal value. First-engagement only, not LTV.
  • Per-client leak = revenue leaking ÷ active clients on outbound.

None of these numbers are exact. They are designed to make the order of magnitude visible to an agency owner asking "is reply infrastructure actually a budget line?"

If this was useful

I build small, focused tools like this for founders and operators — usually in a day or two, tuned to the exact pitch and the math behind it. If this calculator sharpened a conversation with a client, or you want a variant pointed at a different problem, follow along — I post the things I build.

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