
How MoEngage and AWS help Travel & Hospitality Brands Use AI to Fix the Customer Expectation Gap
Are your customer engagement strategies keeping up with modern traveler expectations? In this episode, Clare Ward and Tedd Evers from AWS sit down with our very own Rohitkumar Nair and Nick Ippel to discuss the widening "Customer Expectation Gap" in the Travel & Hospitality industry—and how top brands are solving it using AI. Discover how legacy tech stacks are costing brands bookings, why your customer data might be broken, and how to leverage AI-native customer engagement platforms built on AWS to scale 1:1 personalization. Key Takeaways from This Episode: The Customer Expectation Gap: Why 71% of consumers expect personalization, but only 14% of travel brands have fully integrated data. The 4 Pillars of Modern Customer Engagement: Real-time unified data, predictive segmentation, cross-channel orchestration, and Generative AI content at scale. Real-World Success Stories: Learn how Europe's largest booking aggregator achieved a 354% YoY increase in post-booking email revenue and how a leading US Resort and Casino chain and Europe's top luxury hotel chain modernized their marketing tech stacks. The Agentic AI Shift: Why IDC predicts 30% of travel bookings will be handled by AI agents by 2030, and what that means for the future of SEO and discoverability
















