Glossary
What is B2B data decay?
Data decay is the steady loss of accuracy in B2B contact data over time. People change jobs and titles, companies move, merge or close, and email addresses stop working. A list that was accurate when you bought or built it slowly fills with wrong titles, dead addresses and people who left, which raises bounces and wastes outreach.
Published by Sellinger AI. Numbers and settings checked on 24 October 2026 against the fact register. Report an error.
What causes data decay?
- Job changes and promotions, the biggest cause.
- Company changes: mergers, rebrands, new domains, closures.
- Role changes inside the same company.
- Email addresses closed when people leave.
- Phone numbers that change with a role.
What does it do to outreach?
| Effect | Why it matters |
|---|---|
| More bounces | Hurts sender reputation |
| Wrong person | A message about a role the person no longer has |
| Spam traps | Old addresses can be recycled into traps |
| Wasted follow ups | A sequence to someone who left |
How do you keep lists fresh?
Re verify before every campaign, not once a year. Prefer sources that show current roles, such as a person's live profile. Watch job change signals: they both clean the list and create a new lead when someone moves to a company that fits. And treat bounces and you have the wrong person replies as updates, not failures. See spam trap and lead enrichment.
How Sellinger handles it
Contact lookups search a database of 700M+ contacts at the time you run them. The New Joiner intent signal on LinkedIn shows people who joined a company, which catches job changes. Sellinger has intent signals on LinkedIn with 26 ready made signal templates in 8 categories, included with every bundle.
Common questions
How fast does B2B data decay?
Is LinkedIn data more current than a database?
Should I delete stale contacts?
Sources and method
General B2B data practice. Sellinger data and signals from the fact register, checked 24 October 2026.
Related: Lead enrichment, Spam trap, Bounce rate, B2B lead database buying guide.
