B2B Email List Decay Projection
Models B2B list decay at typical 22-30% per year, broken down per quarter. Surfaces re-verification timing.
| Month | Still valid | Lost |
|---|---|---|
| 3 | 931 | −69 |
| 6 | 866 | −134 |
| 9 | 806 | −194 |
| 12 | 750 | −250 |
| 18 | 650 | −350 |
| 24 | 563 | −437 |
You ran the numbers. Now see your real ones.
A calculator works from the figures you type in. Outsolvi measures them on the email you actually send, and grades every open so Apple Mail pre-fetches and security scanners don't inflate the count. Outlook and Gmail, from $7/user/mo billed yearly, 14-day free trial.
See it on your own inboxInitial list size × (1 - decay_rate)^months/12 = projected valid addresses over time. Tells you when to re-verify.
When deciding re-verification cadence. Sizing the impact of stale-list spam complaints.
FAQ
Why does B2B email decay so fast?+
Job changes, role changes, company changes. 22-30%/year is the industry baseline. Higher in tech (~35%), lower in regulated industries (~18%).
Keep going
Articles, glossary entries, and other tools on the same topic.
Nate built Outsolvi after watching every email-tracking tool he had ever used lie to him about opens. Outsolvi grades every open as a person or a machine, in Outlook and Gmail, so the number on the dashboard is one a rep can actually act on.
We update these pages when the underlying mechanics change. new mailbox-provider rules, new tracker behavior, new measurement gaps. The dates above are real revisions, not auto-touches.