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Home/ Solutions/ Airlines

Airlines

Own the whole trip, not just the seat

Turn a fare search into a modelled traveller, then attach accommodation, transfers, experiences and ancillaries that the traveller actually wants.

+38%

Ancillary attach rate uplift

Measured against a randomised holdout

The problem

What this usually looks like today

  • High-volume fare search that converts into a commoditised seat sale.
  • Ancillaries offered in a fixed order regardless of who is buying.
  • Comparison sites capturing the trip value you generated the demand for.
  • Loyalty data that never reaches the anonymous searcher.
The change

What TravelSpy does about it

Search-to-profile resolution

Anonymous fare searches are resolved into modelled travellers within the session, so personalisation starts on the first visit rather than the fourth.

Ancillary sequencing

Bags, seats, lounge, fast track, insurance and car hire are ordered by predicted propensity per traveller, which lifts attach without adding friction.

Trip capture

Accommodation and experiences are packaged at the point of fare selection, keeping trip margin in your channel instead of an OTA.

Route demand insight

Aggregated intent signals show where demand is forming before it shows up in bookings, informing capacity and campaign decisions.

“The ancillary ordering change alone paid for the platform in a quarter. The trip packaging is what changed the strategy.”
Head of DigitalShort-haul carrier

A typical rollout

Most airlines programmes follow the same shape.

Weeks 1–2

Tag deployed, core feeds connected, first modelled audience available for review.

Weeks 3–4

Segments validated against your own commercial knowledge and holdout groups defined.

Weeks 5–8

Orchestration switched on across site, lifecycle and paid media with guardrails in place.

Quarter 2 onward

Measured lift reviewed monthly, models retrained continuously, scope widened by market.

See what your traffic is actually worth

Book a 30-minute session. We will run your own traffic through the model and show you the segments, the predicted spend bands and the packages you are not selling yet.