Data Validation Checklist
Validate your CRM data quality across email, phone, address, and company fields with this systematic checklist.
- 10Items
- 1-2 hoursEstimated time
- Data QualityCategory
- 01Email Validation4
- 02Phone & Address Validation3
- 03Company Data Validation3
Work the list
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01Email Validation
02Phone & Address Validation
03Company Data Validation
Tips
- 01
Email syntax validation is a free first pass. Cleanlist AI's free email syntax validator catches formatting errors instantly
- 02
SMTP verification is the gold standard for email validation but some servers don't provide accurate responses (catch-all domains)
- 03
Validate data at the point of entry (forms, imports) to prevent bad data from ever entering your CRM
- 04
Combine validation with enrichment: validate what you have, then enrich what's missing
Frequently asked questions
What is the difference between data validation and data verification?
Data validation checks that data conforms to expected formats and rules: is the email syntactically correct? Is the phone number the right length? Data verification goes deeper to confirm data is accurate and current: does this mailbox actually exist? Is this phone number connected? Validation is a prerequisite for verification.
Should I validate data before or after enrichment?
Validate before enrichment to clean your existing data, then validate again after enrichment to verify the new data. Pre-enrichment validation removes clearly bad data that would waste enrichment credits. Post-enrichment validation confirms that enriched data is deliverable and accurate.
How do I validate data at the point of entry?
Add real-time validation to your forms and data import processes. Use client-side validation for format checks (email syntax, phone format) and server-side verification for accuracy (email deliverability, domain existence). This prevents bad data from entering your CRM in the first place.
Related Cleanlist AI features
Related checklists
- B2B Data Enrichment Checklist14 itemsStep-by-step checklist for planning, executing, and measuring a data enrichment project to fill gaps in your contact and company data.2-3 hours
- Contact Data Accuracy Audit Checklist9 itemsAudit the accuracy of your contact database with this checklist covering field completeness, freshness, deliverability, and enrichment gaps.1-2 hours
- Company Data Quality Checklist10 itemsAudit and improve company-level (firmographic) data in your CRM with this checklist covering industry, size, revenue, tech stack, and hierarchy data.1-2 hours
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