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 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 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%).
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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 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.