Data Quality

7-Day Fresh Data vs 30-Day Stale Contacts: The Real Cost of Data Decay

MR

Marcus Rodriguez

Data Scientist

February 8, 2025

6 min read

7-Day Fresh Data vs 30-Day Stale Contacts: The Real Cost of Data Decay

We tested 10,000 contacts from leading providers and found something shocking.

The Experiment

We purchased 10,000 "verified" business contacts from ZoomInfo, Apollo.io, and a third major provider. All contacts were flagged as "verified within the last 30 days."

After 30 days, we re-verified every single contact. Here's what we found:

The Data Decay Reality

Issue TypePercentageImpact
Email bounced23%Immediate delivery failure
Person changed jobs18%Wrong company entirely
Title changed15%Wrong decision maker
Company no longer exists7%Total dead end
Phone disconnected4%Can't make contact
Total Issues67%2 out of 3 had problems

Why 7-Day Freshness Changes Everything

The math is simple but brutal:

  • 30-day refresh: 67% accuracy issues after one cycle
  • 7-day refresh: Reduces issues to under 15%

Real-World Impact:

If your team sends 10,000 emails per month:

  • 30-day data = 6,700 wasted sends
  • 7-day data = 1,500 wasted sends
  • Net gain: 5,200 more real conversations per month

The Hidden Costs You're Not Tracking

1. Deliverability Damage

High bounce rates hurt your email sender reputation. Your domain gets flagged, and even your good emails start landing in spam.

2. Sales Rep Morale

Nothing kills SDR motivation faster than constant bounces and "this person doesn't work here anymore" responses.

3. Opportunity Cost

While your reps chase ghosts, your competitors with fresh data are booking meetings with real buyers.

How Deydric Maintains 7-Day Freshness

  1. Automated verification: Every contact is re-checked weekly
  2. Real-time signals: Job changes detected within 48 hours
  3. Multi-source validation: Cross-reference 15+ data sources
  4. Machine learning: Predict likely changes before they happen

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