106 data sources. One traveller record.
Behaviour alone tells you what someone clicked. TravelSpy joins behaviour with referral source, network context, live travel supply, destination demand and economic conditions — then resolves all of it into a single, explainable profile. Every feed below is managed, monitored and versioned by us.
Source categories, each independently toggleable per market.
Individual feeds connected and maintained as part of the platform.
Freshness monitoring with automatic alerting when a feed degrades.
First-party behaviour
Everything a traveller does in your own channels, captured server-side and consent-gated.
16 feeds in this category
- 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
Contextual signals that sharpen geography, seasonality and spend modelling.
14 feeds in this category
- 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
Where demand came from, classified and valued by what it actually produces.
15 feeds in this category
- 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
Live commercial context so packages are priced against the real market.
14 feeds in this category
- 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
The outside world that moves travel intent before it shows up in bookings.
15 feeds in this category
- 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
Macro context that changes what a traveller can and will spend.
10 feeds in this category
- 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
Your own customer record, joined only where consent allows it.
10 feeds in this category
- 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
Features TravelSpy computes rather than collects, each versioned and explainable.
12 feeds in this category
- 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.
Bring your own sources too
Anything with an API can join the library. Tell us what you already have and we will map it against the model in the demo.