Contact data decays: a maintenance plan that actually runs
Around a third of B2B contact data goes stale every year. A practical, low-effort plan for keeping your database usable — what to re-verify, how often, and what to delete.
People change jobs, companies rename themselves, and email domains get retired. Estimates vary, but a common rule of thumb is that 25–30% of B2B contact data becomes inaccurate every year. A database nobody maintains is not an asset that holds its value; it is one that loses a third of it annually.
Why it matters more than it seems
Bad data does not just waste a rep's time. Emails to dead addresses bounce, and bounces damage sender reputation — so a stale list makes good emails to good contacts land in spam too.
A maintenance rhythm
| Frequency | Task | Effort |
|---|---|---|
| Before every campaign | Verify the addresses you are about to email | Automated |
| Monthly | Re-verify contacts not emailed in 90 days | Automated |
| Quarterly | Flag contacts whose title or company changed | Light review |
| Yearly | Archive contacts with no activity in 18 months | One afternoon |
What to re-verify first
Prioritise by value, not by age: contacts in open opportunities, then target accounts, then everyone else. Verifying a whole database at once is expensive; verifying what you are about to use is cheap.
Delete more than feels comfortable
Teams hoard contacts "in case". But a contact you cannot reach is not a lead — it is a bounce waiting to happen. Archive aggressively, and keep the archive out of every sending list.
Make it someone's job
Data quality decays fastest when it is everyone's responsibility. Give one person ownership of the rhythm above and one number to report — percentage of active contacts verified in the last 90 days. When that number is visible, it tends to go up.