Data Quality Score Calculator
Score your CRM data quality based on key metrics. Input your bounce rate, duplicate rate, and data age to get an instant health grade.
What a data quality score measures
A data quality score grades your CRM health from four inputs: database size, email bounce rate, duplicate percentage, and average data age. This free calculator returns a numerical score and a letter grade in seconds, plus specific fixes. Aim for 90 or above; B2B data decays 25-30% per year, so re-score quarterly.
Used by 1,500+ GTM teams
Who uses the Data Quality Score Calculator?
Teams across go-to-market rely on clean, verified data. Here is where this tool fits.
Sales teams
Stop wasting reps' time on dead leads and bad data before outreach.
Marketers
Clean lists before a campaign to protect deliverability and spend.
Recruiters
Confirm candidate contact details are real before reaching out.
Founders
Validate key contacts before emailing partners, investors, or buyers.
RevOps
Keep the CRM accurate so routing, scoring, and reporting hold up.
Agencies
Double-check client data before it ever touches a live campaign.
How Does This Tool Work?
Poor data quality silently kills sales performance. This free calculator evaluates your CRM health based on four key metrics: database size, email bounce rate, duplicate record percentage, and average data age. You'll get a letter grade (A through F), a numerical score, and specific recommendations for improvement based on your results.
Which Free Email Lookup Tools Work Together?
Free, purpose-built tools that work together. Start from a name, a domain, an email, or a block of text, and move to a verified contact.
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Put a dollar figure on what bad CRM data costs you each year.
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Email Blacklist Checker
Test your domain or IP against 9 major DNS blocklists in seconds.
What Can the Full Platform Do in 5 Minutes?
This free tool is the tip of Cleanlist. Watch a real ICP search go from query to enriched, validated, CRM-ready list in under five minutes. 36 leads, 100% contact fill, synced to HubSpot.
36 ICP leads, 100% contact fill, validated and pushed to HubSpot in one flow
Know your score. Now raise it.
You've measured the problem. Cleanlist fixes it, deduping, verifying, and enriching your records automatically. 30 free credits, no card.
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Which Cleanlist Plan Do You Need?
| Feature | Free | Starter | Pro | Scale |
|---|---|---|---|---|
Data Enrichment | ||||
| Enrichment | ||||
| AI Search | ||||
| Chrome Extension | ||||
| CSV Upload | ||||
| Credit Rollover | ||||
Prospecting | ||||
| Find People | ||||
| Sales Navigator | ||||
| Manual Entry | ||||
| Export CSV | ||||
| Leads per List | 100 | 2,500 | 2,500 | Unlimited |
| Seats included | 1 | 2 | 5 | 10 |
| Additional seats | — | $20/seat | $20/seat | $20/seat |
Automation & AI | ||||
| AI Agents (Basic) | ||||
| AI Agents (Advanced) | ||||
| Playbooks | ||||
Integrations | ||||
| CRM Import | ||||
| CRM Integrations | ||||
| API Access | ||||
| Custom Integrations | ||||
| SSO / SAML | ||||
Support & Analytics | ||||
| Priority Support | ||||
| Analytics Dashboard | ||||
| Dedicated Success Manager | ||||
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Frequently Asked Questions
What metrics does the data quality calculator use?
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The calculator evaluates four key metrics: your total CRM database size, email bounce rate percentage, duplicate record percentage, and average age of your data in months. Each metric is weighted based on its impact on sales and marketing performance.
What is a good data quality score?
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An A grade (90-100) means your data is in excellent shape. B (75-89) is good but has room for improvement. C (60-74) indicates significant issues affecting performance. D (40-59) means your data quality is likely hurting revenue. F (below 40) requires immediate attention.
How can I improve my data quality score?
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Start with email verification to reduce bounce rates, then run deduplication to merge duplicate records. Regular enrichment keeps data fresh and fills missing fields. Cleanlist handles all three: verification, deduplication, and waterfall enrichment across 15+ data providers.
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