Personalization Example for Airlines
Airline personalization can transform an airline company's digital experience from static to dynamic and highly engaging.
Generic Homepage Before
One-size-fits-all airline page with broad offers and generic hero.
- No destination/segment focus
- Default banner & copy
- Slower path to fare discovery
Luxury Travel to Dubai After
Targeted banner + AI recommendations tuned to Dubai and luxury traveler signals.
- Targeted banner with Dubai imagery and luxury value props
- AI recs surface destination-relevant fares, partners, lounge passes
- Goal: faster route to relevant fares & higher CTR
From Generic to Personalized (Airline)
An airline homepage shifts from one-size-fits-all to an adaptive experience using website personalization. The “before” is a default page; the “after” adapts once the visitor is identified as interested in luxury travel to Dubai—copy, modules, and promotions align to that intent.
AI Content/Product Recommendations
Below the banner, recommendation blocks surface destination-relevant items—premium fare deals to Dubai, partner hotels, lounge passes, or guides like “48 hours in Dubai.” Popularity/scarcity cues on cards can nudge action.
- Luxury segment: first/business fare tiles, premium bundles, lounge add-ons.
- Destination interest: Dubai guides, stopover offers, partner perks.
Signals → Experiences
- Signals: destination pages viewed, cabin preference, campaign UTM, geo, recency/frequency.
- Personalized elements: hero/banner, recommendation rails, promo copy, CTAs.
- Delivery: real-time rules/models render variants client-side without replatforming via website personalization.
Start with the targeted banner, then add deeper modules over time—fare cards, content rails, and loyalty prompts— all governed in the same campaign.
Why This Works
- Immediate relevance: destination + cabin intent acknowledged on the first view.
- Reduced friction: clear, matching CTA guides the next action.
- Higher yield: premium offers shown to premium-leaning travelers.
How is the targeted banner set up?
Create a banner in the Pop-up & Banner Manager, define the audience (e.g., luxury + Dubai interest), then map headline, image, and CTA variants.
Where do the recommendations come from?
On-site behavior and item similarity—destination, cabin, recency—plus business rules (availability, margin).
Does this require changes to the CMS?
No replatforming—variants are rendered in real time via the website personalization tag/SDK.
From Generic to Personalized (Airline)
An airline homepage shifts from one-size-fits-all to an adaptive experience using website personalization. The “before” is a default page; the “after” adapts once the visitor is identified as interested in luxury travel to Dubai—copy, modules, and promotions align to that intent.
AI Content/Product Recommendations
Below the banner, recommendation blocks surface destination-relevant items—premium fare deals to Dubai, partner hotels, lounge passes, or guides like “48 hours in Dubai.” Popularity/scarcity cues on cards can nudge action.
- Luxury segment: first/business fare tiles, premium bundles, lounge add-ons.
- Destination interest: Dubai guides, stopover offers, partner perks.
Signals → Experiences
- Signals: destination pages viewed, cabin preference, campaign UTM, geo, recency/frequency.
- Personalized elements: hero/banner, recommendation rails, promo copy, CTAs.
- Delivery: real-time rules/models render variants client-side without replatforming via website personalization.
Start with the targeted banner, then add deeper modules over time—fare cards, content rails, and loyalty prompts— all governed in the same campaign.
Why This Works
- Immediate relevance: destination + cabin intent acknowledged on the first view.
- Reduced friction: clear, matching CTA guides the next action.
- Higher yield: premium offers shown to premium-leaning travelers.
How is the targeted banner set up?
Create a banner in the Pop-up & Banner Manager, define the audience (e.g., luxury + Dubai interest), then map headline, image, and CTA variants.
Where do the recommendations come from?
On-site behavior and item similarity—destination, cabin, recency—plus business rules (availability, margin).
Does this require changes to the CMS?
No replatforming—variants are rendered in real time via the website personalization tag/SDK.
