Data decay
In short
Data decay is the steady process by which stored records become inaccurate because the real world changes while the record does not. People switch jobs, change titles, and drop email addresses. Companies move, merge, rebrand, and change size.
In a B2B CRM, decay is constant and quiet. No alert fires when a champion leaves. The record just keeps looking valid until an email bounces or a rep calls the wrong person.
What causes data decay
- Job changes: Contacts move companies or roles, so titles and emails stop being valid.
- Company changes: Mergers, rebrands, relocations, and layoffs change firmographic fields.
- Domain and email changes: Addresses are deactivated or switched after acquisitions.
- Human entry: Typos and half-filled forms add errors from day one.
Why it matters for GTM teams
Decay hurts every motion. Outbound sequences bounce, which damages sender reputation. Territory and scoring models use outdated size or industry values. Marketing sends to people who left. Reps lose time on dead leads and miss the new role of a former champion.
How to slow data decay
Re-verify on a schedule
Set a refresh cadence based on how fast a field changes. Contact emails and titles change faster than industry or country, so refresh them more often.
Refresh before use
Verify a list right before a campaign instead of trusting last year's export.
Track job-change events
Watching for role changes lets you update records and reach champions at their new company.
Monitor bounces
Feed bounce and invalid-number results back into the CRM so bad records are flagged automatically.
A simple way to estimate your own decay
Take a random sample of records, say 100 contacts, and verify them today. If 15 have a changed job or a dead email, your sample shows a 15% decay rate for that period. Repeat the check each quarter to see the trend. The number is only valid for your own data, so avoid applying industry averages.
Common mistakes
- One-time cleanup: A single big clean without a recurring process decays again.
- Treating all fields equally: Refresh frequency should match how quickly each field changes.
Data decay FAQs
What is data decay in B2B?
Data decay is the gradual loss of accuracy in stored contact and company records. It happens because people change jobs and companies change details, while the CRM record stays the same until someone updates it.
What causes data decay in a CRM?
The main causes are job changes, company mergers and rebrands, deactivated email addresses, and manual entry errors. Records also decay when nobody owns refreshing them, so small changes pile up unnoticed.
How do you prevent data decay?
You cannot stop it, but you can slow it. Re-verify records on a schedule matched to each field, refresh lists before campaigns, track job changes, and feed bounces back into the CRM so invalid records are flagged.
How fast does B2B data decay?
It depends on the field and your market, so no single rate fits everyone. Sample your own records, verify them, and measure how many changed. Repeating that quarterly gives a rate you can plan refresh cycles around.
