The CRM data quality problem
Most CRM databases are significantly worse than their owners believe. The average B2B CRM has:
- 25–35% of email addresses that are invalid or bouncing
- 30–40% of contacts with outdated titles or employers
- 15–20% of company records with wrong firmographic data (revenue, employee count, industry)
- Significant duplicate contact records across subsidiaries and business units
Running outbound against this data produces poor results and damages sender reputation — which is increasingly difficult to recover from.
Step 1: Audit before you enrich
Before spending money on enrichment, understand the scope of the problem. Run a data quality audit across:
Email validity: Use an email verification tool (NeverBounce, ZeroBounce) to batch-verify your entire contact list. Any email showing "invalid" or "risky" should be flagged. Track the percentage of invalid records by segment (by industry, by source, by age of record).
Title and employment currency: Cross-reference a sample of 200–300 contacts against LinkedIn. What percentage have changed roles or employers in the past 12 months? This sample gives you a decay estimate for the full database.
Firmographic accuracy: Check company data (revenue, employee count, HQ location, industry) against a reference source like D&B or Clearbit. Inaccurate firmographics break segmentation and scoring models.
Duplicate analysis: Run your CRM through a deduplication tool or a data quality platform that identifies exact and fuzzy-match duplicates. Duplicates inflate reporting, confuse reps, and create compliance exposure (if the same person receives multiple sends).
Step 2: Triage by segment
Enriching 100% of a large CRM is expensive and often not worth it. Prioritize:
Tier 1 accounts (top 10–15% by revenue potential): Full enrichment — email re-verification, title/employer update, firmographic refresh, and contact expansion (adding committee-level contacts you're missing).
Active pipeline: Any account with an open opportunity should be fully current. A stale contact in an active deal is a blind spot.
High-value segments: Segments you're actively campaigning against this quarter.
Cold or very old records: These may not be worth enriching at all. Archive records with no activity in 24+ months rather than investing in enriching them.
Step 3: Run the enrichment
For most CRM enrichment projects, a waterfall approach works:
1. Email re-verification (automated, fast, cheap)
2. LinkedIn match (confirms current employer for senior contacts)
3. Third-party data append (for firmographic fields, phone, missing contact details)
4. Human verification for Tier 1 accounts and strategic contacts
The output should be a field-level change log: what was updated, what couldn't be confirmed, and what records remain unresolvable (and should be flagged for review or archiving).
Step 4: Implement a maintenance cadence
One-time enrichment decays immediately. The only long-term solution is a refresh cadence:
- Email re-verification: Quarterly for active segments
- Title and employer: Quarterly for Tier 1, semi-annually for the rest
- Firmographic data: Semi-annually
- Role-change alerts: Continuous monitoring for key contacts
Most CRMs can be configured with a "last verified date" field that triggers re-enrichment at the appropriate interval. Without this, the next enrichment project is always starting from the same place as the last one.
Ready to see what we can build for your ICP?
Send us your ICP — sample in 2–3 hours, full delivery in 48–72 hours.
Request a free sample →