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Overview

Migma’s email generation technology is backed by rigorous research into email deliverability, user engagement, and inbox placement. These case studies present our findings and demonstrate why Migma-generated emails consistently outperform alternatives.

Research-Driven

100,000+ emails analyzed

Real-World Data

Actual inbox placement metrics

Multiple Industries

B2B, E-commerce, SaaS, Media

Actionable Insights

Practical recommendations

Available Case Studies

Dark Mode & Email Deliverability

Key Finding: Emails with proper dark mode support show 7.6% higher inbox placement rates.
  • 50,000+ emails analyzed
  • 60%+ of users prefer dark mode
  • 2x better engagement with dark mode optimization
  • Cross-client testing results
Learn more →

HTML vs Plain-Text Deliverability

Key Finding: High-quality HTML emails outperform plain-text by 20.5% in inbox placement.
  • 100,000+ emails tested
  • 6-month comprehensive study
  • B2B cold outreach analysis
  • Debunking the plain-text myth
Learn more →

Research Methodology

Our Approach

All Migma case studies follow rigorous research standards:
  • Minimum 50,000 emails per study
  • Multiple industries and use cases
  • Diverse geographic distribution
  • Extended time periods (3-6 months)
  • Actual email campaigns (not laboratory tests)
  • Multiple email service providers
  • Real recipient behavior tracking
  • Seed list testing for inbox placement
  • A/B testing methodology
  • Control groups for comparison
  • Isolated variable testing
  • Statistical significance validation
  • Inbox placement rates
  • User engagement (time, clicks, scrolls)
  • Spam complaint rates
  • Cross-client rendering quality
  • ROI impact measurement

Email Clients Tested

Our research covers the full spectrum of email clients: Desktop:
  • Gmail (Web)
  • Outlook.com
  • Apple Mail (macOS)
  • Outlook 2021/2019/2016 (Windows & Mac)
  • Yahoo Mail
  • ProtonMail
  • Thunderbird
Mobile:
  • Gmail App (iOS & Android)
  • Apple Mail (iPhone & iPad)
  • Outlook Mobile (iOS & Android)
  • Samsung Email
  • Yahoo Mobile
Testing Methods:
  • Real device testing (not simulators)
  • Seed list inbox placement tracking
  • User behavior analytics
  • Engagement metric tracking

Key Insights

1. Dark Mode Is Critical

60%+ of email users prefer dark mode. Emails that break in dark mode signal low quality to both users and email providers.
Impact:
  • 7.6% higher inbox placement with dark mode support
  • 2x better engagement (time spent, clicks)
  • 4x fewer spam complaints
Read Full Study

2. Quality HTML Outperforms Plain-Text

The “plain-text is better” myth is wrong. High-quality HTML emails achieve 20.5% higher inbox placement than plain-text.
Why:
  • Professional HTML signals legitimate business
  • Better engagement metrics (2.5x more time spent)
  • Plain-text associated with spam and low-effort outreach
Read Full Study

3. Email Quality Matters

Not all HTML is equal. The distinction between high-quality and low-quality HTML is significant: What makes HTML “high-quality”:
  • Clean code structure (semantic HTML)
  • Cross-client compatibility (40+ clients)
  • Dark mode optimization
  • Mobile responsive design
  • Proper email standards (CAN-SPAM, GDPR)
  • Optimized assets (compressed images, alt text)

Practical Applications

For Marketing Teams

Optimize for dark mode - Test every email in both light and dark modes
Use professional HTML - Don’t rely on plain-text for “personalization”
Test before sending - Use Email Preflight to catch issues
Monitor metrics - Track inbox placement, not just open rates
Invest in quality - High-quality emails have measurable ROI

For Cold Outreach

Professional HTML templates - Branded design builds credibility
Personalize content - HTML structure + personal message
Quality over quantity - 100 inbox emails > 1000 spam emails
Track real metrics - Measure inbox placement and reply rates

For Email Platforms

Generate clean HTML - Follow email standards, not web standards
Automatic dark mode - Make it default, not optional
Cross-client testing - Ensure compatibility everywhere
Educate users - Explain why quality matters for deliverability

How Migma Applies This Research

Automatic Optimization

Every Migma-generated email benefits from our research: Dark Mode:
  • Automatic dark mode optimization
  • Cross-client compatibility testing
  • Smart color adaptation
  • Layout preservation in both modes
HTML Quality:
  • Clean, production-ready code generation
  • Email-safe HTML and CSS
  • Proper standards compliance
  • Optimized assets automatically
Deliverability:
  • Email Preflight testing (30+ devices)
  • Spam score checking
  • Link validation
  • Mobile responsiveness verification

Continuous Improvement

Our research informs product development:
  • New features based on deliverability findings
  • Testing across emerging email clients
  • Adaptation to changing email provider algorithms
  • Best practices integrated into AI generation

Future Research

Upcoming Studies

We’re currently researching:

AI-Generated Images

Impact of AI-generated vs stock images on engagement

Subject Line Optimization

ML-powered subject line testing for open rates

Personalization Scale

Balancing personalization with automation

International Deliverability

Regional differences in email provider behavior

Research Partnership

Interested in collaborating on email deliverability research?

Partner With Us

Conduct joint research studies

Share Your Data

Contribute to future case studies

Best Practices Guide

Apply research findings to your emails

Email Preflight

Test emails based on our research

FAQ: Deliverability

Common questions about our findings

Creating Emails

Generate optimized emails with Migma

Contact

For questions about our research or to discuss collaboration: Research Team: research@migma.ai Press Inquiries: press@migma.ai General Support: support@migma.ai

Disclaimer

All research presented represents findings from our specific testing conditions and sample sizes. Results may vary based on industry, audience, sending infrastructure, and other factors. We encourage users to test and validate findings within their own context.
Last modified on September 1, 2026