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Travel intent data tells you who's planning a trip right now, where they want to go, and when. It comes from what travelers do online, like searching flights to Lisbon for October or comparing hotel rates for a long weekend.
That timing makes it useful across your whole marketing funnel. You can match your message, channel, offer, and key performance indicators (KPIs) to where each traveler is, from first browse to almost booked.
We offer travel intent data through managed campaigns, custom audiences for your own stack, and data-curated Private Marketplace (PMP) deals on any Demand-Side Platform (DSP). Our machine learning (ML) audiences add your website and first-party data to the mix.
Travel intent data is information about the actions people take while planning a trip, such as searching a destination and dates, looking up flights or hotels, comparing options, and starting a booking. Because each action happens at a specific moment, it shows who's in market for travel now, for which destination, and for which dates.
Demographic data describes who someone is, such as their age or income, and it stays true whether or not they're traveling. Travel intent data describes what someone is doing, and it expires. A search for Cancun flights in March matters this week and very little by April.
In the Sojern Traveler Ecosystem™, these signals come from direct partnerships with airlines, hotels, online travel agencies (OTAs), metasearch sites, and rental car brands, and they combine real-time searches with historical booking data.
A travel intent signal is any trip-planning action that tells you a person is moving toward a booking. The most common signals include:
One signal is a hint. A sequence is far stronger. A traveler who searches Denver for a February weekend, compares three ski-area hotels, then starts a booking has shown you their destination, dates, shortlist, and readiness.
Travel intent data comes from search and booking activity on partner travel sites, shared through direct data partnerships and processed in pseudonymized form. Our approach to data explains how we collect, protect, and use it.
To you, partner data is third-party data because it describes activity on sites you don't own. Your first-party data comes from your own website, booking engine, and customer records. Together, they show a traveler before and after they reach you.
We collect pseudonymized information that shows travel intent, such as flight details and hotel booking behavior. We don't collect sensitive personal information, such as health data, political affiliation, or religious beliefs, to target ads.
We use identifiers collected with permission from clients and partners, including hashed emails and IP addresses. Travelers can opt out of behavioral advertising through Digital Advertising Alliance programs, or ask us to opt them out of, export, or delete their personal data.
In April 2025, Google confirmed it would keep third-party cookies in Chrome, but Safari, Firefox, and Brave still restrict them by default. Our cookieless FAQ explains how we pair cookieless-durable channels with permissioned identifiers to reach travelers across browsers.
As travelers begin planning their next getaway, making a strong first impression is crucial. This stage is about introducing your brand to travelers who are in the early stages of researching and exploring their options.
Objective: Help your brand stand out and grab the attention of potential guests as they begin planning their trips.
Tactic: Use travel intent data to identify users who are in the early stages of their travel planning.
Strategy: Create eye-catching, engaging ads that introduce your brand and spark interest.
Channels: Connected TV (CTV), Video, Native Video, Display, Social
KPIs: Reach, Video Completion Rate (VCR), Click Through Rate (CTR), Cost per Site Engagement and Brand Lift Study KPIs
After grabbing their attention, the next step is to foster deeper engagement and help potential travelers as they explore options and narrow down their choices. This phase is about offering useful information and nurturing the relationship.
Objective: Engage users actively comparing travel options and guide them toward making a booking decision.
Tactic: Use travel intent data to identify users frequently searching for or have already booked part of their trip.
Strategy: Focus your creative approach and direct traffic to in-depth content like destination guides, travel tips, and comparisons to help them finalize their decision.
Channels: Native, Native Video, Display, Social
KPIs: CTR, VCR, Cost per Site Engagement, Cost per Search, Cost per Action (newsletter subscription, brochure download)
At this critical stage, the focus is on turning interest into action. Your goal is to re-engage travelers who have expressed interest but haven’t completed their booking yet.
Objective: Encourage users to finalize their booking on your site.
Tactic: Leverage our destination intent data alongside first-party data to re-engage users who have interacted with your brand but haven’t yet completed a booking.
Strategy: Highlight your Unique Selling Points (USPs), offers and incentives, and ensure a seamless booking experience. Send traffic to a landing page closer to the end of funnel. Remove obstacles and simplify the process to reduce friction and increase conversion rates.
Channels: Display, Native
KPIs: Return on Ad Spend (ROAS), Cost per Action (booking)
Running all three stages at once takes coordinated budget, creative, and measurement. If you'd rather hand that off, our Managed Campaign team builds and optimizes each stage against the KPIs above.
Travel intent data works best when you know where it fits. It focuses your spend on people actively planning a trip, so it’s a precise tool, not your whole strategy. Pair it with contextual, lookalike, and awareness campaigns to reach travelers before they start searching. Then let intent data take over once they do.
Intent is directional, which is why sequences matter most. A single search could be a dream trip or a favor for a friend. A destination search followed by a property comparison and a started booking tells you someone is ready. Build audiences around those sequences, and your budget follows real buyers.
Freshness is where intent data earns its value. A hotel search for next weekend is a strong signal this week and a weak one next month. Campaigns that act inside the booking window reach travelers while they’re still deciding, before they book somewhere else.
Your own data fills in what partner data can’t see. Intent data reflects the sites inside a partner network, and browser restrictions make it harder to match signals to one person across sites. Adding first-party data from your website, booking engine, and customer records gives you a fuller view of each traveler.
ML audiences combine travel intent data with your website and customer relationship management (CRM) data to predict which travelers will act next, whether that's a site visit (awareness), a search (consideration), or a booking (conversion). Using pixel data or a CRM integration, we optimize toward the action that matters at each stage.
For example, two travelers search Denver for the same February weekend. One has also visited your ski-package page and resembles guests who booked last winter. The model ranks that traveler higher for conversion ads and keeps the other in a consideration audience.
Instead of reacting to what travelers did, you're predicting what they'll do next. Traveler Audiences put these AI-powered audiences in your own DSP, with our team building and adjusting the segments as your strategy shifts.
More trip research now happens inside AI assistants instead of search boxes. More than half of U.S. travelers (56%) used AI to plan, book, or get in-destination help for at least one trip in the past year, up from 33% in the first half of 2025, according to Phocuswright. Some of the early research that once showed up as destination searches now stays in a chat window, which makes top-of-funnel intent harder to see. That puts more weight on lower-funnel signals, like date-specific searches and abandoned bookings, which still happen on travel sites where intent data can see them.
Travel intent data works because it moves with the traveler. Each step, from destination search to property comparison to abandoned booking, calls for a different message, channel, and measure of success. Match your campaign to those steps, and your budget follows real demand.
If you want to see what intent signals look like for your destination or property right now, contact us, and we'll walk you through it.
Travel intent data is a record of trip-planning behavior that signals someone is likely to travel soon, including destination and date searches, flight and hotel lookups, rate comparisons, and unfinished bookings. Marketers use it to reach people while they're deciding where to go and when to book, rather than targeting broad audiences.
A traveler searches flights from Chicago to Nashville for a June weekend, then compares three downtown hotels for those dates. Each action is a travel intent signal. Together, they show the destination, the dates, a shortlist of properties, and that the person is close to booking. A Nashville hotel could use that sequence to show a rate offer for those exact dates.
Demographic targeting reaches people based on fixed attributes, like age, income, or location, that stay true whether or not they're planning a trip. Travel intent data reaches people based on what they're doing right now, such as searching a destination or comparing hotels. Demographics tell you who might travel. Intent data tells you who is planning to travel, where, and when.
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What actually moves a luxury booking, beyond better photography.
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The examples, the targeting, and the budget math most round-ups skip.
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The channels, the funnel, and the segment differences that decide where your budget belongs.
We’re ready to help you take the guesswork out of your digital marketing. Contact us to tap into the travel industry’s most intelligent marketing platform.
