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Personalization

Email Personalization

Customizing email content for individual recipients based on their data, behavior, or preferences.

Definition

Email personalization is the practice of customizing email content for individual recipients based on their data, behavior, preferences, or attributes. This ranges from simple name insertion to sophisticated dynamic content showing different products, offers, or messaging based on purchase history, location, or engagement patterns. Personalization makes mass emails feel individual and relevant.

Why It Matters

Personalized emails dramatically outperform generic ones. Studies show personalization can increase open rates by 26% and conversion rates by 6x. Recipients expect relevance - sending the same message to everyone wastes the opportunity to connect meaningfully. Personalization improves engagement, conversions, and customer satisfaction.

How It Works

Personalization uses subscriber data stored in your email platform. Basic personalization inserts merge tags (like {{first_name}}). Advanced personalization uses conditional logic to show different content blocks based on attributes or behavior. AI-powered personalization can recommend products or optimize send times individually.

Example

Levels of email personalization:

Level 1 - Basic: "Hi {{first_name}}," in greeting

Level 2 - Segmented: Different emails to different segments - New subscribers: Welcome focus - Active customers: Loyalty rewards - Lapsed customers: Win-back offers

Level 3 - Dynamic: Single email with conditional content - Show winter coats in cold locations, swimwear in warm - Recommend products based on browse/purchase history

Level 4 - AI-Powered: Individualized for each recipient - Predicted best send time - AI-selected product recommendations - Personalized subject line variations

Best Practices

  • 1Start with basic personalization (name, company) and expand
  • 2Use fallback values for empty fields (Hi there vs Hi {{blank}})
  • 3Personalize subject lines for higher open rates
  • 4Segment before personalizing - relevance requires context
  • 5Test personalization to measure its impact on your metrics

Smart Personalization

Use dynamic content and merge tags to personalize every email automatically based on subscriber attributes.

Learn More

Frequently Asked Questions

Start with basics: name, location, signup source. Add behavioral data: products viewed, purchases made, emails clicked. Over time, collect preferences explicitly. Only collect data you will actually use - more is not always better.

Yes, if done poorly. Avoid over-personalization that reveals how much you track. 'We noticed you looked at this product 7 times' is creepy. 'You might like this based on your interests' is helpful. Balance relevance with privacy respect.