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Air France-KLM Group (Flying Blue loyalty programme / Aviance commercial arm) — Loyalty-programme behavioural data: elite-status match applications and tier-match outcomes, plus the post-match booking behaviour of the matched cohort (segments flown, cabin mix, frequency), layered on group-wide passenger booking, fare and ancillary-purchase records across 320+ destinations.. Large enterprise dataset: three operating brands, a network of 320+ destinations, tens of millions of bookings annually, and a loyalty member base in the 15-20M range; even a single status-match promotion produced 4,000+ l…
Datasets
1Loyalty-programme behavioural data: elite-status match applications and tier-match outcomes, plus the post-match booking behaviour of the matched cohort (segments flown, cabin mix, frequency), layered on group-wide passenger booking, fare and ancillary-purchase records across 320+ destinations.
Scale Status-match cohort: 4From 20 yearsCoverage Industrials
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What does Travelupdate do?
Air France-KLM Group (Flying Blue loyalty programme / Aviance commercial arm) — Loyalty-programme behavioural data: elite-status match applications and tier-match outcomes, plus the post-match booking behaviour of the matched cohort (segments flown, cabin mix, frequency), layered on group-wide passenger booking, fare and ancillary-purchase records across 320+ destinations.. Large enterprise dataset: three operating brands, a network of 320+ destinations, tens of millions of bookings annually, and a loyalty member base in the 15-20M range; even a single status-match promotion produced 4,000+ l…
What data does Travelupdate offer?
Travelupdate offers (Alternative, Reference) — Status-match cohort: 4,000+ applications, ~3,800 tier assignments, 17,500 booked flight segments with cabin class and date stamps (Jan-Aug) from one offer alone. Group-wide: tens of millions of PNRs and loyalty transactions per year across three operating brands..
What is Travelupdate's data used for?
Loyalty-programme design and status-match economics benchmarking; churn/win-back model training for frequent-flyer schemes; customer lifetime value and premium-cabin propensity models; revenue-management and fare elasticity training; pairwise preference modelling on real travel purchase decisions; competitive benchmarking for airline and hotel loyalty programmes.
How is Travelupdate's data delivered?
The data is with 20 years of history.
What does Travelupdate cover?
Coverage spans Europe; Airlines; alternative, reference; equities.
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