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Segments 14
Guests 1,933,000
On this lens club_tier
  • Blue
  • Silver
  • Gold
  • Polaris
Aurora Air, a Neuralift demo brand, in an illustrative run: the segments and figures are examples. Hover a segment to see what the model found; click one to meet them below.

Industries · Travel & Hospitality

A model that knows your guests beyond their tier.

Hotel, airline and travel teams know loyalty programs are blunt: a handful of tiers describing millions of distinct journeys. Neuralift builds an AI model of your guest base from your own booking and stay data, finds the segments inside it, and keeps it current as travel changes.

Talk to us See how it works
The guests

Understand your guests like never before.

Every segment comes with a field guide: who they are, how you'd recognise them, and what sets them apart from everyone else.

Use the arrows, swipe, or pick a segment on the map.

Segment 01

Holiday Return-Trip Families

Megan

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Travellers per booking: 3.9 in this segment, 1.6 for everyone else.
  • Days booked ahead: 124 in this segment, 41 for everyone else.
  • Extras spend per booking ($): 186 in this segment, 58 for everyone else.
312,000 guests
Segment 02

OTA Fare Hunters

Kieran

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Share booked through OTAs: 0.88 in this segment, 0.31 for everyone else.
  • Enrolled in Aurora Club: 0.14 in this segment, 0.58 for everyone else.
  • Extras spend per booking ($): 9 in this segment, 58 for everyone else.
284,000 guests
Segment 03

Weekday Business Commuters

Graham

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Flights a year: 22 in this segment, 4.1 for everyone else.
  • Share of trips Monday to Thursday: 0.86 in this segment, 0.38 for everyone else.
  • Lounge visits a year: 14 in this segment, 1.2 for everyone else.
226,000 guests
Segment 04

Northern Lights Adventurers

Freya

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Share of trips November to March: 0.81 in this segment, 0.34 for everyone else.
  • Share booking a tour or package with the flight: 0.47 in this segment, 0.06 for everyone else.
  • Share flying north of the Arctic Circle: 0.92 in this segment, 0.11 for everyone else.
198,000 guests
Segment 05

Visiting-Family Flyers

Amara

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Share booked within 21 days: 0.58 in this segment, 0.27 for everyone else.
  • Bags checked per trip: 0.2 in this segment, 0.9 for everyone else.
  • Share of trips around holidays: 0.64 in this segment, 0.22 for everyone else.
176,000 guests
Segment 06

Golds Nearly Polaris

Daniel

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Years at Gold: 5.2 in this segment, 0.6 for everyone else.
  • Long-haul share of flights: 0.62 in this segment, 0.18 for everyone else.
  • Share taking a status challenge: 0.44 in this segment, 0.07 for everyone else.
128,000 guests
Segment 07

Lapsing Former Golds

Patricia

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Flights this year against last: 0.31 in this segment, 0.96 for everyone else.
  • Aurora Club email open rate: 0.52 in this segment, 0.21 for everyone else.
  • Years at Gold before lapsing: 4.6 in this segment, 0.6 for everyone else.
104,000 guests
Segment 08

Premium Cabin Leisure Couples

Henri

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Share of fare spend in business: 0.78 in this segment, 0.06 for everyone else.
  • Fare per trip ($): 3,240 in this segment, 610 for everyone else.
  • Lounge passes bought a year: 1.6 in this segment, 0.1 for everyone else.
96,000 guests
Segment 09

Points Redemption Planners

Owen

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Share of flights on points: 0.64 in this segment, 0.09 for everyone else.
  • Points balance (thousands): 142 in this segment, 18 for everyone else.
  • Award searches before booking: 11 in this segment, 0.8 for everyone else.
88,000 guests
Segment 10

Student and Gap-Year Backpackers

Lily

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Share of one-way fares: 0.71 in this segment, 0.18 for everyone else.
  • Share aged under 26: 0.88 in this segment, 0.11 for everyone else.
  • Fare per trip ($): 148 in this segment, 610 for everyone else.
82,000 guests
Segment 11

Connecting Long-Haul Transit Guests

Ravi

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Share connecting through the hub: 0.94 in this segment, 0.17 for everyone else.
  • Share booked through a partner airline: 0.52 in this segment, 0.08 for everyone else.
  • Hours on the ground at the hub: 3.2 in this segment, 0.4 for everyone else.
74,000 guests
Segment 12

Bleisure Weekend Extenders

Sofia

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Share of business trips extended to a weekend: 0.62 in this segment, 0.05 for everyone else.
  • Return flights changed a year: 1.8 in this segment, 0.3 for everyone else.
  • Companions on the flight home: 0.7 in this segment, 0.2 for everyone else.
66,000 guests
Segment 13

Ski Season Groups

Tom

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Party size: 7.4 in this segment, 1.6 for everyone else.
  • Share with sports equipment: 0.96 in this segment, 0.04 for everyone else.
  • Share of trips December to March: 0.88 in this segment, 0.34 for everyone else.
58,000 guests
Segment 14

First-Time Flyers

Grace

Representative customer Not a real person, Neuralift does not process or store PII

How you'd recognise them

  • Flights with Aurora: 1 in this segment, 8.6 for everyone else.
  • Enrolled in Aurora Club: 0.21 in this segment, 0.58 for everyone else.
  • Days since first flight: 94 in this segment, 1,140 for everyone else.
41,000 guests
01 / 14

This segment Everyone else

Use cases

Bring a use case. Get the answers.

Bring the use case that matters most. Neuralift ties what its deep learning discovers in your guest data to the KPIs behind it, and comes back with the guests to act on and the plays to reach them.

  • Shift bookings from OTAs to direct
  • Grow repeat stays
  • Lift bag, seat and lounge revenue per trip
  • Win back flyers drifting to a rival hub
  • Spot future elites earlier
  • Fill midweek rooms at leisure properties
  • Personalize pre-arrival offers
  • Fill seats on new routes
  • Sell upgrades to the flyers who'll take them
  • Turn transit passengers into stopover guests
  • Manage points liability without losing loyalty
  • Build lookalike seeds from our best direct bookers
  • Grow dining and spa spend
  • Reach bleisure travelers at the right moment
  • Send family planners the right offer
  • Make paid search spend go further

guests_ai_ready 1,933,000 rows · one per guest

Keyguest_id Cleanedfare_revenue_12m
g_38612 11,240 Low 6 0.94 22 0.93
g_52417 284 None 19 0.00 1 0.33
g_29805 1,960 High 124 0.71 2 0.40
g_17904 1,840 Low 63 1.00 4 0.25
g_31620 612 Low 12 0.40 3 0.60
g_41207 2,310 High 92 0.64 1 0.14
Your data

Your guest data, made AI-ready.

Discovery starts by transforming the data you already have. Neuralift turns it into an AI-ready asset, engineers the features your use case needs, creates new KPIs and documents every one.

  • An AI-ready asset. Bookings, flown segments, paid extras, Aurora Club events and search data from every channel, cleaned and joined into one model-ready table per guest.
  • Engineered features. The signals your use case needs, found and built for you: booking window, direct share, trips flown, weekday skew.
  • New KPIs. Measures your business didn't have before, like an extras band on paid seats, bags, upgrades and lounge per trip, not on fare alone.
  • A data dictionary. Every column defined and traced to its source, with context on your guests you didn't have before.

It fuels the deep learning, and it's yours to keep. Your data science teams can build on it, and so can your own agentic and AI applications.

Start here

Got a question for Neuralift?

Our team is always happy to talk through your customer data challenges and opportunities. We usually respond within a day, and we love helping teams see what their customer data can tell them.

Talk to us