AI in Email Campaigns: Personalization That Converts

Shashank Shekhar2025-05-12

Email marketing isn't dead—it’s evolving. And the brands winning in 2025 are those using AI-powered email campaigns to transform generic blasts into high-performance, personalized communication.

Whether it’s predicting the best send time, crafting subject lines that spark clicks, or tailoring email content for different personas, AI in email marketing is reshaping how brands build relationships at scale.

At Glance, we integrate AI not only in commerce and styling—but in communication. With advanced personalization tools and predictive AI logic, our email systems are designed to deliver relevance, not just reach.

This guide will walk you through:

  • How AI is used across the email funnel
  • The top tools and models powering AI in email campaigns
  • Key benefits and use cases
  • What marketers need to know to stay competitive in 2025

Related:

 AI Email Writer: Tools, Use Cases & Impact 

The Role of Personalization in AI Marketing

How AI Powers Email Subject Lines, Timing, and Content Personalization?

Traditional email marketing was about bulk sends and best guesses. In 2025, AI-driven email campaigns turn every touchpoint into a personalized micro-moment—optimizing not just what is said, but when and to whom.

Let’s break down the three key layers where AI adds precision and impact:

1. AI for Subject Line Optimization

Subject lines make or break open rates. AI models now generate and test subject lines based on:

  • Emotional sentiment analysis
  • Length vs. click-through probability
  • Past performance by audience segment
  • Real-time engagement signals

Tools like Phrasee and ChatGPT fine-tune tone, urgency, and style based on your brand voice.

Read more: AI Email Writing Tips

2. AI for Send Time & Frequency Optimization

AI doesn’t just pick “Tuesday at 10 am.” It evaluates:

  • Individual user behavior (email open habits, timezone drift, scroll patterns)
  • Lifecycle stage (first-time visitor vs. returning user)
  • Event-based triggers (abandon cart, save wishlist, avatar creation on Glance)

Result:
Hyper-personalized send schedules—delivering the right message at the right moment, automatically.

3. AI for Email Content Personalization

Forget static templates. AI builds dynamic content blocks using behavioral and demographic inputs:

  • Product recommendations based on browsing history
  • Dynamic subject + body changes based on user tier (e.g., new vs. loyal users)
  • Visuals adapted to persona traits (Glance AI avatars, body type, style)

Under the Hood: Models and Signals Used

AI Layer

Inputs Used

Output Generated

NLP Generation (LLMs)

Campaign brief, brand tone, sentiment cues

Human-like subject lines, preview text

Predictive ML Models

Historical engagement, timezone, device usage

Best send time, ideal frequency

Recommendation Systems

On-site/app behavior, Glance AI avatar data, wishlist saves

Smart product blocks + dynamic visuals

Benefits of Using AI in Email Campaigns

benefits of using Ai email campaigns

Implementing AI in email marketing isn't just a tech upgrade—it delivers measurable business impact across every stage of the funnel. From better open rates to smarter product targeting, AI email campaigns unlock precision and scale like never before.

Here are the top benefits that marketers—and platforms like Glance—are experiencing in 2025:

1. Higher Open Rates with AI Subject Line Generation

AI-powered subject lines adapt tone, length, and emotional resonance based on your audience’s past behavior. Instead of static lines, every send becomes a real-time test and learn loop.

Impact:
Marketers report 15–40% increases in open rates using AI-generated subject lines (source).

2. Smarter Send Time = Better Engagement

AI analyzes user time zones, habits, and device activity to schedule each email precisely. This eliminates guesswork and improves visibility in crowded inboxes.

At Glance, email sends are optimized around user engagement windows—like after avatar creation, or during high-scroll evening slots on Android lock screens.

Impact:
Click-through rates (CTR) often increase by 20–30% with AI-optimized send time delivery.

3. Personalized Content That Converts

AI enables micro-targeted content within a single campaign, making every email feel like a one-to-one message.

Use cases:

  • Product suggestions based on app behavior (e.g., Glance AI Lookbooks)
  • Recommendations aligned to body type, price range, or saved styles
  • Region-specific language or cultural cues

Impact:
Retailers using AI-driven content personalization see 2–3x higher conversion rates and lower unsubscribe rates (source: Salesforce State of Marketing 2023).

4. Reduced Churn and Higher Retention

By mapping lifecycle stages and purchase patterns, AI sends nurturing emails that retain customers before they churn.

Examples:

  • Dormant Glance users receive AI-curated style refreshes
  • High-intent users get dynamic waitlist updates or early drops

5. Campaign Efficiency and Lower Manual Overhead

AI reduces the time spent:

  • Writing subject lines and content
  • Segmenting lists
  • Testing performance manually

AI in email campaigns turns email from a static broadcast into an adaptive, performance-driving growth tool

Real-World Use Cases and Examples of AI Email Campaigns

AI email campaigns are transforming communication across industries—from e-commerce to fintech to fashion. The ability to combine data, timing, and personalization is what sets AI-powered email apart from legacy marketing automation.

Here’s how leading brands—globally and in India—are making it work.

1. Glance AI: Real-Time Lookbook Triggers

At Glance AI, email personalization starts at the lock screen.

Use Case:
After a user creates their avatar and saves 2–3 AI-styled looks, the system triggers:

  • A real-time email with “Shop Similar” options personalized to body type, skin tone, and current season
  • Follow-up lookbook refresh alerts based on previous engagement patterns
  • Dynamic pricing or “back in stock” emails for previously engaged items

Impact:
Higher reactivation rates for dormant users and improved cart conversion via re-engagement.

2. Myntra: Sale Campaigns Tailored by Gender, Size & Spend Level

Use Case:
AI segments users into micro-groups based on their browsing, cart size, return rate, and even past promo responsiveness. Each group receives:

  • Different discount ladders
  • Relevant categories only (e.g., ethnicwear for women, sneakers for men)
  • Personalized calls to action (CTAs) like “Your Perfect Festive Look is Back”

Outcome:
Myntra sees improved ROI from campaigns with reduced unsubscribes and smarter funnel movement.

3. Netflix India: Behavior-Based Retargeting

Use Case:
AI models detect incomplete shows or skipped episodes and send nudges with personalized episode trailers, watch time suggestions, or new category intros based on genre affinity.

Result:
This reduces user churn and reactivates users after dormant periods.

4. Nykaa: AI-Powered Product Routine Reminders

Use Case:
Nykaa uses AI to:

  • Remind users to reorder skincare products based on usage cycles
  • Trigger “routine companion” emails when users purchase a serum (e.g., moisturizer + SPF)
  • Offer deals tied to past purchases and review behavior

Impact:
Higher repeat orders and increased average order value (AOV).

5. Cred: Financial Nudges + Gamification

Use Case:
Cred deploys AI to segment users by credit behavior and spending categories. Its emails nudge users with:

  • Bill payment reminders
  • Reward unlocks personalized to spending tier
  • Spend-saving insights based on peer group comparisons

Result:
Higher email engagement and more monthly active users via timely, smart notifications.

Global Reference: Spotify’s “Wrapped” Campaign

Why it works: 

Spotify Wrapped uses AI to analyze a year’s worth of listening behavior and turn it into hyper-personal, shareable content—triggering massive open rates, social sharing, and cultural relevance.
From fashion to fintech, AI email campaigns work best when they connect data with context—delivering real value, not just messages.

Conclusion

AI in email campaigns isn't just a trend—it's the new standard for meaningful, high-converting communication.

From writing subject lines that get clicked, to tailoring content by behavior, to predicting the exact moment a user is most likely to engage—AI turns every email into a precision tool for retention, revenue, and relationship-building.

At Glance, our AI-native platform ensures every message—from styling alerts to lookbook refreshes—is hyper-relevant and always timely. The result? Email that feels personal, performs commercially, and scales with intelligence.

More from Glance:
AI Email Writer: How It Works 

How Glance AI Enhances Personalization

Glance AI User Engagement via Email & Lock Screen

FAQs: AI in Email Campaigns

1. What is AI in email marketing?

AI in email marketing uses machine learning and data models to optimize subject lines, personalize content, predict user behavior, and automate smart delivery times.

2. How does AI improve email open and click rates?

It analyzes user behavior and preferences to create compelling subject lines, select optimal send times, and tailor messages that resonate—leading to higher engagement.

3. Which tools are best for AI email campaigns?

Tools like Phrasee, Salesforce Einstein, Mailchimp AI, and custom LLM integrations (like GPT-4) help brands automate content, test variations, and optimize performance.

4. Can AI personalize emails for each customer?

Yes. AI can dynamically adjust text, visuals, CTAs, and product suggestions based on each user’s persona, behavior, and past interactions—at scale.

5. Does Glance use AI in its email marketing?

Absolutely. Glance AI triggers styling updates, lookbook refreshes, and saved-product alerts using real-time behavior and user profile signals from its lock screen and app.


 



 

Glance

Shashank Shekhar leads Content and Community at Glance, driving organic growth for Glance AI through content, community, and storytelling. He’s also a startup founder and educator.


 

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