How do you get travelers to engage directly with your brand? With BaynoteONE, travel brands put each customer at the center of their digital experience and deliver the cross-device, personalized experience that engages travelers, delivers increased bookings and creates long-term, loyal relationships.
2. Personalizing the Home Page Experience
• Dynamic hero images
• Optimized offers
• Trending destinations
• Recently viewed items with
recommended alternatives
• Personalized dynamic content
Goals:
• Decrease bounce rate and increase
engagement
• Showcase relevant products,
content and offers
• Drive users deeper into the site
experience
• Increase revenue per traveler with
cross-sell and upsell
3. Dynamic Hero Images & Optimized Offer
Dynamic Carousel &
Position Selection
Optimized
Offers
Real-time user
entered data
influences
carousel and
offer content
(Selecting from 1000 hero images and promotions)
5. Recently Viewed With Recommended Alternatives
Allow visitors to pickup
where they left off by
showcasing relevant, related
properties.
6. Personalized Dynamic Content
Showcase the best
content based on what
you know about the
traveler’s preferences
Dynamic links enhance
SEO by showcasing
trending destinations
7. Using Customer Data to Personalize
• Baynote observes and understands the Traveler in real-time:
‒ Destination interests and preferences
‒ Big spender vs price conscious
‒ Traveler type
• Business vs. Leisure - could be determined by travel timeframe or duration as proxy
• Single vs Family
• We also model on other attributes
‒ Departure point (origin geolocation)
‒ Gender of the traveler doing the booking
‒ Loyalty Points Balance
‒ Preferred hotel brands
‒ Average price paid
‒ Usage of promotions
‒ Other user entered information like trip reason (romance?)
8. What makes Baynote Different
Simpler
• Self-learning - automated adaptation
• New VUE self-service console for business users
• One platform for all visitors, pages, and applications
• Using content you already have
Scalable
• Big data technology for very large data sets / problems
• Self-learning – automated learning scales with large volumes
• Guided by your business rules and constraints
Innovative
• Focus on personalization and customer experience solutions
• New smart data platform combines big data, machine learning and real-time technology
• Data science team driving new patents (KPI, etc.)