106 travel-related signal types catalogued
This catalogue describes potential first-party, contextual and model-derived data types. It is not a list of connected or managed feeds. Each provider connection must be confirmed and configured for your workspace, with appropriate consent, licensing and data-processing arrangements.
Categories in the catalogue; availability is integration-dependent.
Signal types listed, not a count of live provider connections.
Refresh frequency depends on the relevant configured source.
First-party behaviour
Examples of first-party interaction events that can be configured from your own channels, subject to consent and integration design.
16 signal types listed
- Page and screen views
- Scroll depth and dwell time
- Destination page sequences
- Date-picker interactions
- Fare and rate searches
- Abandoned search recovery
- Cart and basket events
- Quote requests
- Wishlist and saved trips
- On-site search terms
- Filter and sort behaviour
- Map and gallery interaction
- Video engagement
- Live chat transcripts
- Call-centre dispositions
- Form field interactions
Network & device intelligence
Examples of contextual data types; availability and lawful use depend on configured sources.
14 signal types listed
- IP geolocation (country, region, city)
- Connection type
- Carrier and ASN
- Business vs residential network
- VPN and proxy detection
- Data-centre traffic detection
- Device class and model tier
- Operating system and version
- Browser and rendering engine
- Screen dimensions
- Language and locale
- Time zone
- Accessibility preferences
- Bot and fraud scoring
Source & referral
Examples of referral and campaign context that may be included in first-party events.
15 signal types listed
- Organic search entry
- Paid search campaigns
- Paid social placements
- Display and programmatic
- News and editorial referrals
- Travel publication coverage
- Creator and influencer content
- Community forums
- Review platforms
- Comparison and metasearch
- Affiliate networks
- Email and lifecycle campaigns
- Partner and co-brand traffic
- QR and offline campaigns
- App store attribution
Travel supply & pricing
Potential travel supply and pricing integrations; live inventory is not provided by default.
14 signal types listed
- GDS fare feeds
- Low-cost carrier fares
- Hotel rate shopping
- Channel manager availability
- Property management inventory
- Cruise cabin availability
- Rail and coach schedules
- Car hire rates
- Transfer and ground supply
- Experience and tour inventory
- Insurance product rates
- Loyalty redemption values
- Competitor package pricing
- Fare seasonality curves
Destination & demand
Examples of destination context that require a separate source integration.
15 signal types listed
- Search interest indices
- Event and festival calendars
- Sporting fixtures
- School holiday calendars
- Public holiday calendars
- Weather forecasts
- Seasonal climate baselines
- Air quality indices
- Travel advisories
- Visa and entry requirements
- Airport capacity and slots
- Route launch announcements
- Hotel opening pipelines
- Destination sentiment tracking
- Overtourism indicators
Economic & financial
Examples of economic indicators; they do not establish an individual traveller’s spending capacity.
10 signal types listed
- Currency exchange rates
- Fuel and jet fuel pricing
- Consumer confidence indices
- Inflation series
- Regional income indices
- Property value indices
- Employment data
- Interest rate movements
- Discretionary spend trackers
- Credit availability indicators
Consented identity & CRM
Examples of customer-system data requiring a configured, permissioned integration.
10 signal types listed
- CRM contact records
- Booking history
- Loyalty tier and balance
- Service and complaint history
- Email engagement history
- SMS engagement history
- App push engagement
- Survey and NPS responses
- Consent and preference state
- Suppression and do-not-contact lists
Model-derived signals
Illustrative analytics concepts; predictive booking and spend values are not currently available.
12 signal types listed
- Destination affinity scores
- Trip-type classification
- Party composition estimate
- Spend band and confidence
- Booking window prediction
- Price sensitivity index
- Churn and lapse risk
- Ancillary propensity set
- Content affinity vectors
- Segment membership
- Lookalike expansion scores
- Next-trip prediction
What we deliberately do not collect
A shorter list, and an important one.
- Special category personal data as defined under GDPR Article 9.
- Financial account numbers, card data or credit files.
- Precise device GPS coordinates.
- Content of private messages or emails.
- Data purchased from brokers without a documented consent chain.
- Anything a traveller has withdrawn consent for.
Discuss a data integration
Tell us which provider or first-party data you want to connect so we can confirm feasibility, permissions and implementation requirements.