Published
Feb 21, 2026
Category
SEO
Industry
Luxury Hospitality & Gaming (B2C)

Introduction

The Cosmopolitan of Las Vegas partnered with SEOJetty to replace generic promotional emails with AI-powered personalized content. Over three months, behavioral segmentation and predictive modeling drove a highly targeted approach, successfully lifting email click-through rates (CTR) by 40%.

Client Overview

The Cosmopolitan is a premier B2C mid-market luxury hotel and casino in Las Vegas, Nevada. Boasting 5,000+ employees, it features diverse hospitality, world-class dining, and premium entertainment offerings.

The Challenge

A wide variety of offerings—from gaming to shows—made generic subscriber emails ineffective. Content failed to resonate with diverse guest preferences, resulting in chronically low CTRs, poor campaign engagement, and missed revenue opportunities.

Goals & Success Metrics

  • Primary Goal: Achieve a 40% increase in email CTR within 3 months.
  • Success Metric: Engagement rates on AI-predicted, personalized content.

Strategy

We transitioned the client from batch-and-blast emails to predictive 1:1 personalization. Rationale: Predicting exact guest preferences prevents inbox fatigue and successfully matches high-value inventory (like show tickets and dining) with high-intent segments.

Execution

  • Data Mapping: Analyzed historical booking and activity data to establish guest preference profiles.
  • Predictive Modeling: Deployed an AI platform to predict the optimal content mix for each subscriber.
  • Dynamic Content Selection: Implemented dynamic email blocks featuring personalized event promotions and restaurant deals.
  • Behavioral Segmentation: Grouped users by intent (gamers, foodies, entertainment seekers).
  • Optimization: Ran A/B tests on content variations for real-time performance refinement.

Measurement & Attribution

Success was measured via email platform analytics, tracking dynamic block engagement directly against historical baseline CTRs.

Results

  • Timeframe: 3 Months
  • Primary Metric: 40% increase in email CTR

The Turning Point

Initial segments based purely on past bookings were too broad. Shifting the AI model to prioritize real-time on-site behavioral signals over historical data immediately accelerated user engagement.

Lessons Learned

  • Historical data must be validated with real-time intent for maximum accuracy.
  • Dynamic content selection significantly reduces creative production bottlenecks.
  • Broad segmentation fails when promoting highly diverse hospitality offerings.

What’s Next

Over the next 90 days, we plan to expand the AI predictive modeling beyond email into on-site web personalization and SMS event promotion.

About SEOJetty + CTA

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