Data Quality & Spam Prevention

Maintain high-quality data and prevent spam to ensure your personalized video campaigns are effective and deliverable. Clean data leads to better personalization and higher engagement rates.

Data Quality Best Practices

Email Validation

Ensure your email addresses are valid and deliverable:

Validation Checks:

Format validation — Proper email structure (user@domain.com)
Domain validation — Valid domain names and MX records
Disposable email detection — Filter out temporary email services
Role-based email detection — Identify generic addresses (info@, admin@)

Common Issues:

john@company (missing domain extension)
john.company.com (missing @ symbol)
john@company..com (double dots)
john@company.com. (trailing dot)

Data Cleaning

Maintain clean, consistent data:

Standardization:

Name formatting — Consistent capitalization and spacing
Company names — Standardize variations (Inc, LLC, Corp)
Phone numbers — Consistent format and country codes
Addresses — Standardized abbreviations and formatting

Deduplication:

Exact matches — Remove identical records
Fuzzy matching — Identify similar records (John Smith vs Jon Smith)
Cross-field matching — Match by email, phone, or other unique identifiers

Data Completeness

Ensure essential information is available:

Required Fields:

Email address (primary identifier)
First name (for personalization)
Company name (for B2B campaigns)

Optional but Valuable:

Last name, job title, industry
Company size, location, phone number
Custom fields specific to your business

Spam Prevention Strategies

Email List Hygiene

Maintain clean email lists to avoid spam filters:

Regular Maintenance:

Remove bounced emails — Hard bounces indicate invalid addresses
Clean inactive subscribers — Remove contacts who haven't engaged in 6+ months
Update outdated information — Refresh stale data regularly
Monitor engagement metrics — Track opens, clicks, and conversions

Engagement Scoring:

engagement_score = (opens * 0.4) + (clicks * 0.4) + (conversions * 0.2)
IF engagement_score < 0.1 THEN flag_for_removal

Permission Management

Ensure proper consent and opt-in practices:

Opt-in Requirements:

Explicit consent — Clear opt-in language and checkboxes
Double opt-in — Email confirmation for new subscribers
Opt-out options — Easy unsubscribe process
Consent records — Track when and how consent was given

Consent Language Examples:

"I agree to receive personalized video content from [Company]"
"I consent to receive marketing communications via email"
"I understand I can unsubscribe at any time"

Content Quality

Create content that avoids spam filters:

Subject Line Best Practices:

Avoid spam triggers — No excessive punctuation, caps, or urgency words
Be descriptive — Clear, relevant subject lines
Personalize naturally — Use names and company information appropriately
Test variations — A/B test subject lines for effectiveness

Content Guidelines:

Relevant personalization — Use data to add value, not just for show
Clear value proposition — Explain what viewers will gain
Professional tone — Avoid overly promotional language
Mobile optimization — Ensure videos work well on all devices

Technical Spam Prevention

Authentication

Use proper email authentication to improve deliverability:

SPF Records:

v=spf1 include:_spf.blings.com ~all

DKIM Signing:

Sign emails with DKIM keys
Verify signatures are valid
Monitor authentication rates

DMARC Policy:

v=DMARC1; p=quarantine; rua=mailto:dmarc@yourcompany.com

Sending Best Practices

Follow email sending best practices:

Volume Management:

Gradual ramp-up — Start with small volumes and increase gradually
Consistent sending — Maintain regular sending patterns
Avoid spikes — Don't send large volumes suddenly
Monitor feedback — Track bounces, complaints, and engagement

Timing Optimization:

Best sending times — Tuesday-Thursday, 10 AM - 2 PM
Time zone consideration — Send when recipients are active
Frequency limits — Don't overwhelm subscribers
Seasonal adjustments — Account for holidays and busy periods

Monitoring and Maintenance

Data Quality Metrics

Track key metrics to maintain data quality:

Email Metrics:

Bounce rate — Target < 2% for good deliverability
Complaint rate — Target < 0.1% to avoid spam filters
Engagement rate — Track opens, clicks, and conversions
List growth rate — Monitor organic list growth

Data Quality Indicators:

Completeness rate — Percentage of records with required fields
Accuracy rate — Valid email addresses and information
Freshness score — How recently data was updated
Uniqueness rate — Percentage of duplicate-free records

Regular Audits

Conduct periodic data quality reviews:

Monthly Tasks:

Review bounce and complaint reports
Clean up invalid email addresses
Update engagement scoring
Monitor deliverability metrics

Quarterly Tasks:

Comprehensive data quality audit
Update data enrichment sources
Review and update consent records
Analyze engagement trends

Annual Tasks:

Full data quality assessment
Update data retention policies
Review compliance requirements
Plan data quality improvements

Compliance Considerations

Follow data protection regulations:

Requirements:

Lawful basis — Clear legal basis for data processing
Data minimization — Only collect necessary information
Right to erasure — Allow users to delete their data
Data portability — Enable data export requests

Implementation:

Consent management — Track and manage user consent
Privacy notices — Clear information about data use
Data processing records — Document how data is used
Breach notification — Plan for data breach response

CAN-SPAM Compliance

Follow email marketing regulations: