Your CRM Is Lying to You (Here's How to Check)
Data quality issues hide in plain sight. I'll show you the 8 metrics I check on every engagement—and the benchmarks that separate healthy orgs from ticking time bombs.
The Uncomfortable Truth
After auditing hundreds of Salesforce orgs, I can tell you this with confidence: most CRM data is worse than you think. And the people who rely on it for decisions usually have no idea.
I'm not talking about obvious issues like duplicate records or missing email addresses. I'm talking about the subtle data quality problems that make your reports technically accurate but practically useless.
The 8 Metrics That Matter
Here are the data quality metrics I check on every engagement, along with the benchmarks that separate healthy orgs from ones headed for trouble.
1. Field Completion Rate
What it measures: The percentage of records with populated values for key fields.
Benchmark: >85% for critical fields (Industry, Revenue, Source)
Why it matters: Empty fields aren't just gaps—they're blind spots in your segmentation, routing, and reporting. A 60% completion rate on Industry means 40% of your accounts are invisible to industry-based workflows.
2. Duplicate Rate
What it measures: Percentage of records that match on key identifiers (email, company name + address, etc.)
Benchmark: <5% for contacts, <3% for accounts
Why it matters: Duplicates don't just waste storage—they split activity history, confuse assignment rules, and make pipeline reporting unreliable. If you have 10% account duplicates, your pipeline is probably overstated by 5-15%.
3. Data Decay Rate
What it measures: How quickly your data becomes stale (contacts who've changed jobs, companies that've moved, etc.)
Benchmark: <2% monthly decay for B2B contacts
Why it matters: B2B contact data decays at roughly 30% per year. If you're not actively monitoring and refreshing, a third of your database is talking to people who've moved on.
4. Integration Consistency
What it measures: Whether data matches across connected systems (CRM, marketing automation, billing, etc.)
Benchmark: >95% consistency on shared fields
Why it matters: When your CRM says one thing and your marketing platform says another, someone's making decisions on wrong data. The question is who—and how much it's costing you.
5. Record Age Distribution
What it measures: The age distribution of records by object (accounts, contacts, opportunities)
Benchmark: Healthy orgs have <30% of records older than 3 years without activity
Why it matters: Old, untouched records aren't just clutter—they skew conversion metrics, inflate audience sizes, and waste API calls in sync operations.
6. Custom Field Utilization
What it measures: How many custom fields are actually being used vs. created
Benchmark: >60% utilization rate
Why it matters: The average Salesforce org has 400+ custom fields. If 40% are unused, that's technical debt that slows page loads, confuses users, and makes maintenance harder.
7. Validation Rule Coverage
What it measures: Percentage of critical objects with validation rules enforcing data standards
Benchmark: 100% coverage on Accounts, Contacts, Opportunities
Why it matters: Without validation rules, data quality depends entirely on user discipline. That's not a strategy—it's hope.
8. Owner Accuracy
What it measures: Percentage of records assigned to active, appropriate owners
Benchmark: >95% assigned to active users with correct roles
Why it matters: Orphaned records (owned by deactivated users, wrong teams, etc.) fall through cracks in routing, reporting, and territory management.
How to Run Your Own Audit
You can check these metrics manually, but it takes about 2-3 days of SOQL queries and report building. Or you can run a BuildForce health check and get all 8 metrics (plus 134 more) in under 5 minutes.
Comment "HEALTH" on our LinkedIn post to get the free CRM Health Check Template with the exact queries for each metric.
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