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 |
Initial 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.
You ran the math. Outsolvi makes it real.
Calculators tell you what the number should be. Outsolvi tells you what your number actually is — confidence-scored opens, real reply sentiment, live deal-level signal across Outlook and Gmail. From $7/user/mo yearly, 14-day free trial.
See it on your own inboxNate built Outsolvi after watching every email-tracking tool he had ever used lie to him about opens. Outsolvi runs Tier 1 to 5 confidence scoring on every open, native 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.