Category: Essential Guides

What you’ll learn 

• How to evaluate data provenance and consent architecture in any travel media network RFP 

• What genuine network reach looks like — and how to interrogate the numbers 

• Why platform agnosticism matters more than owned inventory breadth 

• How to build measurement independence into campaign structure from the outset 

• Why non-endemic capability is the clearest signal of data quality — and the one question most networks can’t answer 

• A practical travel media network evaluation scorecard to use in any RFP process 

 

The travel media network market has grown up fast. Two years ago, a handful of airline loyalty plays and OTA-adjacent inventory packages represented most of what was available. Today the market is crowded with networks making first-party data claims, commerce media positioning and full-funnel promises that range from genuinely differentiated to essentially repackaged programmatic with a travel logo on top. 

Travel media network evaluation has not kept pace. Most agency RFP frameworks were built for retail media or standard programmatic buys — they were not designed for the structural complexity of a category where no single platform owns more than a fraction of the journey, and where data provenance, identity resolution and measurement independence vary radically across vendors. Applying a retail media evaluation lens to a travel media network RFP will consistently lead you to the wrong answer. 

For agency planners and investment leads, this creates a real problem. The vocabulary has converged — everyone is “first-party”, everyone is “privacy-safe”, everyone has a “journey-based” narrative — but the underlying architectures are radically different. And the consequences of buying the wrong network aren’t just poor ROAS. They’re structural: campaign decisions made on fragmented data, measurement that can’t be independently validated, and audience reach that stops at the edge of one platform’s inventory. 

What follows is a framework for cutting through that noise. Six questions that any travel media network should be able to answer clearly, and what the answers tell you about the quality of what you’re actually buying. 

Data Provenance: First-Party Credentials and Consent Architecture 

The first question in any travel media network evaluation isn’t about reach or rate card. It’s about the data itself. 

Every travel media network in the market will tell you their data is first-party. The follow-up questions are where most of them start to struggle. 

Is the data deterministic or modelled? Deterministic means the audience segment is built from identified individuals who have directly interacted with the network’s partners — a real booking, a real loyalty profile, a real search session. Modelled means the segment is inferred from signals and lookalike logic applied to a seed audience. Both have legitimate uses, but they are not the same thing, and networks that obscure the distinction are usually doing so because the answer is unflattering. 

What is the consent architecture? With GDPR and its equivalents now firmly embedded, the question isn’t just whether consent was collected — it’s how, at what point in the user journey, and whether it covers the specific use cases being activated. Travel data is rich enough to be sensitive. The networks with the cleanest consent frameworks will be able to answer this precisely. 

How is identity resolved across partners? A network that aggregates data from multiple travel providers needs a credible identity resolution layer to make that data coherent. Without it, you’re not getting an aggregated view of a traveller — you’re getting a disconnected set of signals from different systems that may or may not refer to the same person. 

Navigator’s data layer is built on deterministic, consented first-party data drawn directly from airline booking systems, OTA transaction records, metasearch comparison behaviour and hotel group loyalty programmes. Identity is resolved across the partner network, meaning the audience you activate reflects real, identified travellers — not modelled proxies. 

Network Reach: How Much of the Travel Journey Does This Network Actually See? 

This is the structural question that most travel media network RFP processes don’t ask directly enough. 

Every travel media network has a data footprint. The question is how much of the total travel journey that footprint actually covers — and how honest the network is about what it doesn’t see. 

The benchmark here is instructive. Booking.com, the world’s largest OTA, accounts for just over 10% of global travel gross bookings. That means even the most dominant single platform in travel is blind to approximately 90% of the journey. Any network built on one platform’s data — one airline, one OTA, one hotel group — is operating with a similarly constrained view, however deep that view might be within its own walls. 

The practical implication for media planning is significant. Frequency capping, sequential messaging, cross-journey attribution — all of these depend on having a sufficiently complete view of the traveller across the journey. A network that sees 8% of travel activity cannot reliably do any of them. It can approximate. It cannot optimise. 

When evaluating reach, push networks to be specific. Not total registered users. Not monthly site visits. How many unduplicated, identifiable travellers are in the addressable audience, across what journey stages, and with what recency? Networks that answer in abstractions rather than numbers are usually protecting a reach figure that wouldn’t survive scrutiny. 

Navigator’s partner network spans airlines, OTAs, travel metasearch platforms and hotel groups, creating a cross-ecosystem view that no single-partner network can replicate. The 2 billion+ first-party data points reflect the breadth and depth of a multi-partner architecture — audience coverage that compounds as the network grows. 

Inventory and Activation: Channel Dependency vs Platform Agnosticism 

Most travel media networks are, at their core, inventory businesses. The data is real, but its primary function is to sell the network’s own placements — the OTA’s booking flow, the airline’s app, the hotel group’s email. Off-network activation exists, but it’s usually a secondary capability grafted onto a primary inventory monetisation play. 

The question to ask is direct: where, exactly, can this audience be activated? On-network only? Programmatic extension through a specific DSP? Native integration with DV360 and The Trade Desk? CTV? Paid social? 

The answer matters because your client’s customer doesn’t live inside one network’s inventory. A traveller actively comparing flights on a metasearch engine this morning will be on Instagram this evening and watching CTV tonight. A network that can only reach them in one of those environments is not following the customer — it’s waiting for the customer to come to it. 

The most capable networks in the market today offer genuine platform agnosticism: the audience is built from the data, and activation follows the customer across every environment where they can be reached — social, search, programmatic, CTV — without constraining the campaign to any single channel or DSP relationship. 

Navigator is built on this principle. The audience is assembled from aggregated travel intelligence across the partner ecosystem. Activation is channel-agnostic — reaching the customer across social, search, programmatic and CTV without constraining the campaign to any single environment. There is no Navigator-owned media creating an incentive to limit where that audience gets activated. Navigator integrates with existing DSP infrastructure and agency buying workflows — you are not being asked to learn a new platform or route budget through a proprietary system. 

Measurement: Independence, Incrementality and Clean Room Capability 

This is where the market separates most visibly into networks worth taking seriously and those that aren’t. 

Self-reported measurement is the travel media network industry’s original sin. A network that controls the data, the inventory and the measurement framework has an inherent conflict of interest in every performance report it produces. Last-click attribution models that credit the network’s own touchpoints. Reach figures calculated against the network’s own registered user base. Incrementality studies designed and executed by the network’s own analytics team. None of this is independently verifiable, and all of it has a structural incentive toward optimistic outcomes. 

What good looks like: clean room capability enabling genuine third-party validation. Incrementality methodology that is agreed upfront, uses a credible holdout design, and produces results that can be cross-referenced against the client’s own data. Attribution that doesn’t over-index on the last touchpoint within the network’s own inventory. 

The questions to ask: can we bring our own measurement partner? Can we run incrementality testing against a holdout group that you don’t control? Can we validate your reach numbers against our own first-party data in a clean room environment? Networks that hedge on any of these are telling you something important about their confidence in their own numbers. 

Navigator supports clean room-enabled measurement, independent incrementality validation and third-party measurement partnerships. The position is straightforward: we want our performance measured accurately, because accurate measurement is what produces genuine optimisation. 

Non-Endemic Capability: The Question That Separates Audience Platforms from Inventory Plays 

This is the litmus test question. Ask it of every travel media network you evaluate. The answer tells you more about the quality of the underlying data product than any reach deck or rate card. 

The question is: what is your non-endemic proposition, and can you demonstrate it with real campaign outcomes? 

A travel media network with genuine audience intelligence capability should be able to articulate — precisely and with evidence — how travel data signals map to intent and purchasing behaviour in automotive, financial services, retail, home improvement and other non-travel categories. Not in theory. With real campaign data showing that travel-derived audiences delivered meaningful incremental uplift for a non-endemic advertiser. 

If the answer is vague — “we can model travel audiences for non-travel categories” or “we have lifestyle segments that index well against automotive buyers” — you are looking at a network that has bolted non-endemic language onto an endemic inventory play. The data is not deep enough or coherent enough to make the non-endemic proposition real. 

Why does this matter for endemic travel briefs? Because it tells you whether the network’s data is genuinely intelligence-grade or booking-adjacent. A network that can activate automotive brands against travel signals has, by definition, built a data product sophisticated enough to model complex purchasing intent. That sophistication is what makes the endemic proposition work properly too — particularly at the top and middle of the funnel, where lookalike modelling, sequential messaging and cross-journey frequency management all depend on the same underlying data quality. 

Navigator’s non-endemic capability is a core part of the platform proposition, not an add-on. Travel data from airlines, OTAs, metasearch platforms and hotel groups creates life-stage and lifestyle signals that are deterministic, consented and validated against real campaign outcomes across automotive, financial services, retail and home categories. 

If a network you’re evaluating cannot clearly answer the non-endemic question, treat it as a signal about the quality of the underlying data product. Walk away, or significantly discount the endemic proposition alongside it. 

Workflow and Integration: What Does Onboarding Actually Look Like? 

The practical question that often gets left until the end of a travel media network evaluation but should be asked near the beginning. 

Travel media networks vary significantly in how they integrate with agency infrastructure. The key questions: which DSPs does the network have direct audience integrations with? Can audiences be pushed into DV360, The Trade Desk, and major social platforms directly, or does activation require routing through the network’s own proprietary system? What does the data onboarding process look like, and what are the latency implications for campaign activation? 

Beyond the technical: what is the reporting cadence and format? Does it integrate with the measurement frameworks your team already uses, or does it require a separate reporting workflow? On large-scale travel campaigns where client-side reporting expectations are fixed, these are not trivial questions. 

The networks that perform well in agency workflow evaluations tend to share a common characteristic: they are genuinely agnostic about how their data gets activated, because they are not in the business of protecting proprietary inventory. The data is the product. How it gets activated is a function of where the customer is, not where the network wants the budget to flow. 

Navigator’s architecture is built for interoperability — it works with the DSPs and platforms your team already uses, without requiring new platform relationships or proprietary buying environments. Audiences are available for activation across major DSPs and social platforms. Reporting integrates with standard agency measurement frameworks. 

A Scorecard for Evaluating Any Travel Media Network 

Use this against any network you’re evaluating. The scoring isn’t the point — the questions are. 

 

Criterion	What good looks like	What to watch for
Data provenance	Deterministic, first-party, clearly consented, identity-resolved across partners	Modelled audiences presented as first-party; vague consent language
Journey coverage	Multi-partner, cross-ecosystem, quantified by unduplicated addressable reach across journey stages	Single-platform reach figures; abstractions instead of numbers
Activation flexibility	Platform-agnostic; activates across DSPs, social and CTV without proprietary constraint	Activation limited to owned inventory or a single DSP relationship
Measurement independence	Clean room capability; third-party incrementality; no conflict of interest in reporting	Self-reported attribution; incrementality studies run and validated internally
Non-endemic capability	Demonstrated, evidenced, deterministic; real campaign outcomes across non-travel verticals	Modelled lifestyle segments with no real campaign proof; vague indexing claims
Workflow integration	Direct DSP integrations; standard reporting formats; no proprietary system requirement	Requires new platform logins; custom reporting workflows; budget routing through proprietary stack

 

No travel media network in the current market scores perfectly across all six criteria. The purpose of the scorecard is to force an honest conversation about trade-offs — and to identify quickly whether a network’s limitations are acceptable given the specific campaign brief, or whether they are structural problems that will compound over the life of the campaign. 

 

Frequently Asked Questions 

What questions should be in a travel media network RFP? 

A robust travel media network RFP should cover six core areas: 

• Data provenance — Is the data deterministic or modelled? What is the consent architecture? How is identity resolved across partners? 

• Journey coverage — How many unduplicated, identifiable travellers are in the addressable audience, across which journey stages, and with what recency? 

• Activation flexibility — Can the audience be activated across DV360, The Trade Desk, paid social and CTV, or only through proprietary inventory? 

• Measurement independence — Can we bring our own measurement partner? Can incrementality be tested against a holdout group the network doesn’t control? 

• Non-endemic capability — What is the non-endemic proposition, and can it be evidenced with real campaign outcomes across non-travel verticals? 

• Workflow integration — Does the network integrate with existing DSP and agency reporting infrastructure, or does it require new platform relationships? 

 

What should agencies prioritise when evaluating travel media networks? 

Data provenance and measurement independence. These two criteria are the most consequential and the most frequently obscured by vendor positioning. A network with genuinely deterministic, consented first-party data and independently validated measurement will outperform a network with impressive reach numbers and self-reported attribution over any campaign horizon longer than a single flight. 

How do you evaluate the reach of a travel media network? 

Push for unduplicated addressable reach across specific journey stages — inspiration, consideration, booking, post-trip — not aggregate registered user counts or monthly site visits. Cross-reference against your client’s own first-party data in a clean room environment where possible. Networks that resist this kind of validation usually have a reason to. 

What does platform agnosticism mean for a travel media network? 

It means the network’s audience can be activated across any DSP, social platform or CTV environment the agency uses, without routing through proprietary buying infrastructure. The audience is the product. Where it gets activated follows the customer, not the network’s inventory interests. This is the characteristic that most directly determines whether a network can do genuine full-funnel work across a client’s existing media plan. 

Why does non-endemic capability matter for endemic travel briefs? 

Because it is the clearest indicator of whether a network’s data is genuinely intelligence-grade. A network that can model automotive or financial services intent from travel signals has built a data product sophisticated enough to support complex audience strategies. The same sophistication is what makes endemic targeting work at the top and middle of the funnel — not just at the booking moment. 

How should agencies handle measurement across multiple travel media networks? 

Establish a measurement framework before activation, not after. Agree holdout methodology with each network upfront. Use a clean room environment to validate reach and frequency across networks. Build incrementality testing into the campaign structure from the outset, not as a retrospective exercise. Networks that object to pre-agreed holdout designs should be treated with significant scepticism. 

 

Brands and agencies are running campaigns through Navigator right now — and seeing what a genuine Travel Audience Platform for Commerce Media delivers against every one of these criteria. If you want to put Navigator through this framework, get in touch. 

 

Sources: Phocuswright Global Travel Market Report 2024/2025 | Booking Holdings Annual Report 2024 | Statista/eMarketer US e-commerce market share | Mimbi Retail Media Networks Global Index 

Navigator is a Travel Audience Platform for Commerce Media that aggregates over 2 billion first-party travel data points from 20+ partners — airlines, OTAs, travel metasearch platforms and hotel groups — and activates audiences across social, search, programmatic and connected TV for both travel and non-travel brands. This piece sets out what an effective travel advertising strategy looks like in 2026, across every stage of the journey. 

What you’ll learn 

• Why channel-first thinking is costing travel advertisers money — and what to do instead 

• How to build a full-funnel travel advertising strategy around the customer journey 

• What endemic and non-endemic brands should be doing at each stage of the travel journey 

• Why most travel media networks can’t follow the customer — and why that matters 

• How platform-agnostic travel advertising delivers stronger results for both travel and non-travel brands 

 

Most travel advertising still works the same way it always has. Pick a channel. Find an audience to fill it. 

“We’re running a programmatic campaign — which segments can we target?” “We want to be on social — what audiences are available?” The channel comes first. The customer gets fitted around it. 

This is inside-out thinking. And it’s why so much travel advertising budget delivers so little. 

The better model starts from the opposite end. Not “which channel do I want to activate on and who can I reach within it?” but “where are my customers, and which platforms are they actually using?” The audience is the starting point. The channel is just where you find them on a given day. 

We activate across all of them. Social, search, programmatic, connected TV and beyond. Not because we’ve chosen to be present in those environments — but because our customers are. The platform is incidental. The customer is everything. 

The brands winning in travel advertising in 2026 have made this shift. They’re not winning because they found a better channel. They’re winning because they built a better understanding of the customer — and stopped letting channel inventory decide who that customer could be. 

Here is what travel advertising looks like when it’s built that way. 

How to Build a Full-Funnel Travel Advertising Strategy in 2026: Start With the Journey, Not the Channel 

The travel journey is one of the most data-rich consumer experiences in the world. It starts months before a booking — with vague inspiration, destination research, price comparison across metasearch engines, itinerary planning — and it doesn’t end when the trip does. Post-trip behaviour, loyalty engagement, and the signals that follow someone home from a holiday are all part of the picture. 

Most travel advertising strategies treat the journey as if it were a single moment: the booking. Everything is optimised toward conversion. ROAS — return on ad spend, the ratio of revenue generated to money spent on advertising — is the headline metric. The upper and mid funnel are underfunded or ignored entirely. And the post-trip period — where loyalty is built or lost, where repeat purchase intent forms, where the traveller signals what they’re planning next — is almost entirely absent from most media plans. 

This is a structural mistake. Brands that only activate at the point of booking are constantly competing in the same expensive, crowded lower-funnel inventory. They’re paying the highest CPMs — cost per thousand impressions, the standard unit for measuring media costs — for the smallest possible window of influence. And they’re building no meaningful relationship with the traveller outside of the transaction. 

The alternative is to build your strategy around the full arc of the journey — matching your audience intelligence, your creative and your channel selection to what each moment actually requires. And crucially, being present wherever the customer is at each stage — not wherever your media network happens to own inventory. 

Travel Advertising in the Inspiration Phase: Reaching Travellers Before They Know Where They’re Going 

The inspiration phase is where the real advantage is built — and where most brands are not showing up. 

This is the stage before a traveller has decided where they’re going, when they’re going, or what they’re going to spend. They’re consuming travel content. Saving ideas. Responding to imagery and aspiration rather than price and availability. The purchase is weeks or months away. 

Endemic travel brands in the inspiration phase 

For airlines, hotels, OTAs, cruise lines and DMOs, this is where brand consideration is won or lost. The traveller who encounters your brand during the inspiration phase and forms a positive impression is a fundamentally different prospect at the booking stage than the one meeting you for the first time on a metasearch result. You have lowered the cost of acquisition before the auction even starts. 

Non-endemic brands in the inspiration phase 

The traveller in the inspiration window is signalling something significant: they are about to spend money. Not just on the trip itself, but on everything that surrounds it — luggage, insurance, currency, clothes, a car for the road trip. An automotive brand, a financial services company or a premium retailer reaching this person now, with the right message, is operating with a relevance advantage that standard demographic or behavioural targeting simply cannot replicate. 

The channel question at this stage is almost irrelevant. What matters is knowing that this person is genuinely in the inspiration phase of a travel journey — and having the audience intelligence to reach them on whichever platform they happen to be engaging with. A customer-first approach doesn’t choose between social, streaming or editorial. It activates across all of them, and lets the customer’s behaviour determine where the impression lands. 

Inspiration phase: at a glance 

Goal	Build brand consideration before the search begins
Best signals	Travel content consumption, destination saves, lifestyle signals from travel data
Channels	Social, connected TV, premium display, editorial — wherever the customer is
Endemic use	Destination campaigns, brand awareness for airlines, hotels and cruise lines
Non-endemic use	Travel insurance, luggage, automotive, financial products for prospective travellers

 

Travel Advertising in the Research and Consideration Phase: Winning the Comparison Window 

The consideration phase is where travellers are doing serious work. They’ve identified a rough destination or trip type, and now they’re comparing. Airlines, hotels, package deals. Checking prices across metasearch engines. Reading reviews. Building and discarding itineraries. 

This is the most competitive advertising environment in travel. Metasearch is expensive and getting more so. Paid search for high-intent travel queries is brutally competitive. Every endemic travel brand is fighting for the same narrow window of attention, often in the same auctions. 

Endemic travel brands in the consideration phase 

The brands that win here aren’t necessarily the ones with the biggest budgets. They’re the ones with the sharpest audience intelligence. They know not just that this person is researching flights to Barcelona — they know whether this is a leisure traveller or a business traveller, what their typical spend profile looks like, whether they’ve shown brand loyalty before. That level of insight changes everything about how you bid, what you say, and how you sequence your messaging. 

This is where channel-dependency becomes most visible as a structural weakness. A programmatic-dependent network finds this customer in programmatic environments only. An OTA-owned platform finds them inside its own walled garden. A single-airline network finds them if they happen to be one of that airline’s registered customers. None of these approaches follows the customer. They follow their own inventory. And if the customer isn’t inside that inventory at the moment that matters, the campaign simply doesn’t reach them. 

Non-endemic brands in the consideration phase 

The person deep in holiday research is mentally rehearsing the version of themselves that goes on that trip. A credit card with a strong travel rewards proposition, a car hire comparison service, or a luggage retailer showing up with precision here isn’t interrupting the journey. They’re part of it. 

Consideration phase: at a glance 

Goal	Win the comparison window with sharper audience data and smarter sequencing
Best signals	Metasearch comparison behaviour, booking intent signals, traveller type and spend profile from aggregated ecosystem data
Channels	Paid search, metasearch, programmatic, social retargeting — wherever the customer is comparing
Endemic use	Competitive bidding informed by traveller spend and loyalty data; sequential messaging across search and display
Non-endemic use	Travel rewards credit cards, car hire, travel retail, currency and payment products

 

Travel Advertising at the Point of Booking: Why Lower-Funnel Spend Alone Isn’t Enough 

Lower-funnel travel advertising is where most budgets go, and where the returns are declining fastest. 

Booking intent is the most valuable signal in travel — everyone knows it, which is why everyone is bidding on it. The cost of acquiring a conversion through lower-funnel channels alone has risen consistently, while the quality of that conversion, measured by anything beyond immediate ROAS, has become harder to attribute and easier to inflate. 

The deeper problem is that a strategy built primarily on lower-funnel activation is, by definition, reactive. You are showing up at the end of a decision-making process that started weeks or months ago. You had no influence over brand consideration, no role in the comparison phase, no relationship with the customer before they arrived at the point of purchase. You are competing on price and availability and hoping for the best. 

This is not an argument against lower-funnel advertising. It is an argument for what makes lower-funnel advertising actually work: having built genuine brand equity and audience relationships earlier in the journey. The brands that can afford to be disciplined at the lower funnel — that can bid more selectively, hold firmer on price, and convert at higher rates — are almost always the ones that invested upstream first. 

ROAS is a useful metric. It is not a sufficient one. Incremental revenue — the actual additional sales driven by advertising above what would have happened anyway — brand lift, customer journey impact and lifetime value are the measures that reveal whether your travel advertising is actually building a business, or just renting performance from the platforms you buy on. 

How Non-Endemic Brands Should Use Travel Advertising Data in 2026 

This is where the conversation about travel advertising needs to go further than most people in the industry are willing to take it. 

Travel data is not just useful for selling travel. It is among the most powerful consumer intent signals available to any advertiser — because travel reveals life stage, lifestyle, disposable income, aspiration, and imminent purchasing behaviour in ways that almost no other data source can match. 

Consider what a travel journey actually tells you. Someone booking a premium long-haul holiday has disposable income, is in a particular life stage, and is likely making or about to make other significant financial decisions. Someone booking a family holiday to a European resort is telling you about their household composition, their priorities and their spending patterns. Someone making five business trips in the next three months is a very different prospect for a financial product than someone taking one leisure trip a year. 

Automotive brands understand this intuitively — frequent travellers tend to care about the car they drive. Financial services companies are learning it — travel patterns are a strong proxy for creditworthiness, lifestyle and product affinity. Premium retail, home improvement, insurance, telco — every category has a version of the travel signal that is relevant to their customer acquisition strategy. 

The practical question for non-endemic brands is how to access this signal responsibly and at scale. Not through direct relationships with individual airlines, OTAs and hotel groups — that is the fragmentation problem all over again. Through a platform that has already aggregated that intelligence across the full travel ecosystem, with appropriate consent and privacy frameworks, and can activate it across every channel that customer uses. Not just where one network’s inventory happens to reach. Wherever the customer actually is. 

Done well, this is not travel advertising. It is audience intelligence from the travel ecosystem applied to campaigns that have nothing to do with flights or hotels — delivered on the platforms your customer is actually engaging with. And it works because the signal is real, consented, and tied to real identified people rather than modelled guesses — genuinely predictive of purchasing intent in ways that inferred data simply cannot replicate. 

Why Most Travel Media Networks Can’t Follow the Customer 

The central problem with most travel media networks isn’t the quality of their data within their own walls. It’s that their walls are the problem. 

Programmatic-only networks reach audiences at scale but are constrained to programmatic environments. If the customer isn’t in a programmatic context at the moment that matters, the campaign misses them. 

OTA-owned media networks have rich booking and browsing data but only for travellers who move through their platform. The majority of the travel journey — and the majority of travellers — happens elsewhere. 

Single-airline media networks offer genuine depth on their own registered flyers but have almost no visibility into the rest of the journey. One carrier’s data is one carrier’s view. 

All three share the same structural flaw: they follow their inventory, not the customer. If the customer moves outside their reach — which, given the fragmented nature of travel, most of them do — the campaign simply doesn’t follow them. 

Navigator is built on the opposite principle. Start with the customer — built from aggregated, first-party travel intelligence spanning airlines, OTAs, travel metasearch platforms and hotel groups. Then activate wherever they are. The channel is a delivery mechanism. The customer is always the starting point. 

The Best Travel Advertising Strategy in 2026: Follow the Customer, Not the Channel 

Stop asking which channels to activate on. Start asking whether you know enough about your customer to reach them wherever they are — and whether the platform you’re working with is genuinely capable of that, or whether it’s constraining you to the inventory it happens to own. 

A genuinely platform-agnostic approach — one that isn’t tied to any single channel or buying environment — inverts the channel-first model entirely. It starts with the customer. It builds the audience from the richest possible travel intelligence — first-party data from airlines, OTAs, travel metasearch platforms and hotel groups, spanning over 2 billion data points across 20+ partners. It understands who that person is and where they are in their journey. And then it activates across every platform they use — social, search, programmatic, connected TV and beyond. Not because those are the channels available. Because those are the channels the customer is on. 

For endemic travel brands, that means smarter audience building across the full funnel — reaching the right traveller at the right moment with real signal, rather than competing blind in expensive lower-funnel auctions. For non-endemic brands, it means the richest lifestyle and intent data in digital advertising, activated wherever your customer actually shows up. 

The channel was never the point. The customer always was. 

 

Frequently Asked Questions 

What is the best travel advertising strategy in 2026? 

The best travel advertising strategy in 2026 starts with the customer, not the channel. That means building your audience from aggregated, first-party travel data that spans the full journey — from inspiration through to post-trip — and activating across every platform your customer uses. Brands that invest across the full funnel, use real travel audience intelligence rather than modelled proxies, and measure beyond ROAS will consistently outperform those still running channel-first, lower-funnel-only campaigns. 

How should non-endemic brands use travel advertising data? 

Non-endemic brands should treat travel data as a life-stage and intent signal, not a travel-specific targeting tool. Travel patterns reveal disposable income, household composition, purchasing behaviour and lifestyle in ways that standard demographic or behavioural data cannot match. The key is accessing this signal through a platform that has aggregated it responsibly across airlines, OTAs, metasearch platforms and hotel groups — and can activate it wherever the customer is, not just inside a single network’s inventory. 

How can I move from lower-funnel travel advertising to full-funnel? 

Start by mapping where your audience intelligence actually begins. If it starts at the search or booking stage, you’re already late. A full-funnel travel advertising strategy requires data that identifies travellers in the inspiration phase — weeks or months before a booking — and tracks intent through the comparison and decision stages. That requires first-party travel data aggregated across the ecosystem, not just your own platform’s booking history or a single OTA’s data. 

Why is platform-agnostic travel advertising more effective? 

Because the customer doesn’t live inside one channel. A programmatic-only or OTA-owned network can only reach travellers within its own inventory — and given the fragmented nature of travel, most of the journey happens outside any single network’s walls. A platform-agnostic approach builds the audience from travel intelligence first, then activates across social, search, programmatic and connected TV. The customer determines the channel, not the other way around. 

 

Brands working with Navigator are already seeing what this looks like in practice — stronger results, cleaner measurement, and significantly less time managing the complexity of a fragmented, channel-dependent media approach. If you want to understand what it could mean for your business, get in touch. 

 

Sources: Phocuswright Global Travel Market Report 2024/2025 | Booking Holdings Annual Report 2024 | Statista/eMarketer US e-commerce market share | Mimbi Retail Media Networks Global Index | Skai Retail Media Research 

Travel-native commerce media is the use of aggregated, first-party travel audience data — drawn from airlines, OTAs, travel metasearch platforms and hotel groups — to power advertising campaigns across the full travel journey, for both endemic travel brands and non-endemic advertisers. Unlike retail media, which is built on single-platform transaction data, travel-native commerce media requires aggregation across travel media networks to be commercially meaningful. This piece explains why, and what a better model looks like. 

What you’ll learn 

• Why commerce media in travel has underdelivered — and why the retail media blueprint is the wrong model 

• How travel media networks are structurally fragmented, and why that fragmentation is getting worse 

• Why full-funnel travel advertising requires more than lower-funnel booking data 

• How travel audience data aggregation unlocks better results for both travel brands and non-endemic advertisers 

• What a Travel Audience Platform is, and how Navigator is building one 

 

Commerce media was supposed to be the moment travel advertising grew up. 

The promise was straightforward: take the first-party data revolution that transformed retail — the Amazon playbook, the Boots Advantage Card, the Tesco Clubcard — and apply it to travel. Suddenly airlines, OTAs, hotels and booking platforms would become media businesses. Advertisers would get access to high-intent, fully consented audience data that actually reflected what people were planning to do with their money. And the whole thing would be measurable in a way that display advertising never managed to be. 

It was a compelling pitch. And the category has genuinely grown. But if you work in travel advertising and you’re being honest with yourself, you know something isn’t right. 

The results are underwhelming. The measurement is opaque. The fragmentation is getting worse, not better. And the brands and media buyers who were supposed to benefit most are spending more time managing complexity than they are driving growth. 

Commerce media didn’t fail travel because the idea was wrong. It failed because it tried to solve a travel-specific problem with a retail-specific answer. 

Why Retail Media Doesn’t Work in Travel Advertising 

Travel Commerce Media vs Retail Media 

Retail media worked at scale because retail has scale concentration. Amazon accounts for nearly 40% of all US e-commerce. In the UK, Tesco, Sainsbury’s and Asda together account for the majority of grocery spend. When a platform controls that volume of transactions, it controls the data that sits behind them — and that data has real value to the brands selling through those platforms. 

The commerce media model that emerged from retail is therefore, by design, a closed one. You buy into a network because that network owns the shelf. The data is proprietary. The inventory is proprietary. The measurement, more often than not, is self-reported. That’s a trade-off many brands are willing to make when the platform in question touches nearly half of all relevant consumer spending. 

Now apply that same logic to travel. 

Booking.com is the largest online travel platform in the world. It is, by almost any measure, the dominant player in its category. And in 2024, Booking.com’s gross bookings of $165.6 billion represented just over 10% of approximately $1.6 trillion in global travel gross bookings, according to Phocuswright’s Global Travel Market Report. 

Just over 10%. 

Let that sit for a moment. The biggest platform in the entire travel vertical — the one that has spent decades and billions of dollars accumulating market share — touches roughly one in ten journeys. In retail terms, this would be extraordinary. A retailer with 10% market share wouldn’t be building a media network. They’d be fighting for survival. 

Why Travel Media Networks Are Structurally Fragmented 

But travel isn’t retail. Travel is structurally, irreversibly fragmented — and that fragmentation is not a bug. It’s the nature of the category. People book flights on one platform, hotels on another, and research across multiple metasearch engines before committing to anything. They discover on social, compare prices across OTAs, and complete the transaction on a supplier’s direct site. The journey, by definition, does not live in one place. 

This is why every closed, single-platform commerce media strategy in travel is fighting the same losing battle. You are, at best, seeing 10% of what’s happening. More likely, considerably less. You are making audience decisions, media decisions and measurement calls based on a fragment of the picture — and then wondering why the results don’t reflect the scale of your ambition. 

Commerce Media Fragmentation: The Problem Brands and Agencies Can’t Ignore 

To be clear, fragmentation in commerce and retail media is not exclusively a travel problem. It is one of the defining challenges for media buyers across every vertical right now. 

The proliferation of retail media networks has been extraordinary. There are now more than 200 active retail media networks globally, a number that continues to grow. Every major retailer — and a significant number of minor ones — has decided that their transaction data is a media asset, and they are all selling it differently, measuring it differently and reporting it differently. Brands now run campaigns across an average of six retail media networks, a number expected to nearly double by 2026. The operational burden alone is enormous. The promise of precision is being undermined by the reality of complexity. 

Travel has all of these problems and then some. Because in travel, unlike in retail, there is no Amazon. There is no single platform whose dominance at least makes the complexity worth tolerating. There are only fragments. Airline networks that see their own flyers and nobody else’s. OTA platforms that see bookings but miss the inspiration and the post-trip behaviour. Metasearch platforms that see comparison behaviour — who is shopping across carriers and pricing options — but often not the booking itself. Hotel groups with rich on-property data and limited reach beyond their own walls. 

Every one of these networks has something worth having. None of them has enough on its own. And buying them all individually — building a roster of relationships across airlines, OTAs, metasearch platforms and hotel groups — is not a media strategy. It’s a full-time job with no guarantee of coherence at the end of it. 

Full-Funnel Travel Advertising: Why the Booking Is the Wrong Starting Point 

Travel Advertising Beyond the Booking: A Full-Funnel View 

The travel journey is not a transaction. It is an extended period of aspiration, research, comparison and decision-making that begins long before any booking is made — and continues long after the bags are unpacked. The person spending three weeks looking at flights to Japan, comparing hotels in Kyoto, checking prices across metasearch engines, reading reviews and saving destination ideas — that person is revealing an enormous amount about who they are and what they value. Not just as a traveller. As a human being making decisions. 

The people planning their next trip are the same people buying cars, choosing financial products, renovating their homes and making significant retail purchases. The signals they generate across the travel journey are not just useful for selling them another flight. They are among the richest lifestyle and intent signals available anywhere in the digital advertising ecosystem. 

Commerce media in travel, as it has been built to date, almost entirely ignores this. Because it is built around the booking. Around the lower funnel. Around the moment of transaction rather than the arc of the journey. ROAS — return on ad spend, the ratio of revenue generated to money spent on advertising — becomes the default metric. Upper-funnel brand investment gets treated as a luxury. And the extraordinary intelligence embedded in the full travel journey — from the first vague search for “things to do in Portugal” to the loyalty programme touchpoint after the return flight — goes largely uncaptured and unexploited. 

This is a failure of imagination as much as it is a failure of infrastructure. And it’s one that the current generation of closed, single-platform networks is structurally incapable of fixing. 

Travel Audience Data: Why Aggregation Is the Only Winning Strategy 

This is the conclusion the evidence points to, and it is a position we are prepared to stake our claim on. 

In a vertical where no single platform owns more than a fraction of the market, where the journey spans multiple touchpoints across multiple providers over an extended period of time, and where the value of the data lies not in any single booking but in the full arc of the journey — the only commercially coherent response is aggregation. 

Not aggregation in the sense of bolting together a list of media buys. Aggregation in the sense of building a single, unified, privacy-safe data layer that draws from airlines, OTAs, travel metasearch platforms and hotel groups — and makes that combined intelligence available to advertisers and agencies in a way that actually reflects how travel works. 

Navigator is a Travel Audience Platform for Commerce Media built on exactly this principle. Travel-native commerce media — open, and AI-ready — that aggregates over 2 billion first-party data points across a 20+ partner network spanning airlines, OTAs, travel metasearch platforms and hotel groups. “For Every Journey” is not a tagline. It is a description of what the platform actually does: follow the full arc of the travel journey, from inspiration through to post-trip behaviour, and unlock the audience intelligence it creates for both endemic travel brands and non-endemic advertisers. Non-endemic means brands outside the travel category — think automotive, financial services, retail — who use travel signals to reach high-value consumers. 

And because the journey starts long before the booking and ends long after the bags are unpacked, Navigator’s data doesn’t just inform travel campaigns. It powers campaigns for automotive brands, financial services companies, home and retail businesses that want to reach high-value audiences at the moments that matter — using travel signals as the lens through which life’s bigger decisions come into focus. 

How Navigator Compares to Other Travel Media Networks 

Not all travel media networks are built the same way. Understanding the structural differences matters — because the architecture of a network determines what it can and cannot do for your campaigns. 

OTA-owned travel media networks sit inside a single marketplace. Their data is rich within that environment but blind to everything that happens outside it. If a traveller doesn’t book through their platform, they don’t exist. 

Single-airline media networks see their own registered flyers with genuine depth — but only those flyers, only on those routes, only through that carrier’s touchpoints. The journey doesn’t begin or end with one airline. 

Hotel media networks offer valuable on-property and loyalty data but almost no reach into the pre-booking or post-trip phases where purchase intent actually forms. 

Programmatic-only networks can distribute travel-adjacent audiences at scale, but the underlying data is rarely first-party — meaning collected directly from real travellers with their consent — and rarely travel-specific enough to generate the signal quality the category demands. 

Navigator sits outside all of these archetypes. It is not tied to a single airline, a single OTA, or a single booking platform. It aggregates travel audience data across airlines, OTAs, travel metasearch platforms and hotel groups — and activates that intelligence wherever the customer actually is, across social, search, programmatic and connected TV. Open. Built for the full journey. 

What This Means for Travel Advertising in 2026 

Brands are already benefiting from this network — experiencing stronger campaign results alongside a standardised approach to data and measurement that is saving teams significant time and resource. The fragmented, manage-everything-separately model has a very real cost, and it’s not just financial. 

If you are an advertiser or a media agency currently investing in travel advertising — whether you’re an airline building out your media business, a hotel group focused on direct bookings, or a non-endemic brand trying to reach high-value consumers through travel signals — the fragmentation problem is your problem too. 

The question is not whether travel advertising needs a different model. It does. The question is whether you’re prepared to demand one. 

It is available now. For every journey. 

 

Key takeaways 

• Travel is too fragmented for single-platform commerce media. Booking.com — the world’s largest OTA — accounts for just over 10% of global travel bookings. No closed network can serve the full journey. 

• Travel audience data must be aggregated across airlines, OTAs, travel metasearch platforms and hotel groups to be commercially meaningful. Anything less is a fragment. 

• Full-funnel travel advertising requires presence from inspiration through to post-trip — not just at the moment of booking. 

• The travel signal is valuable beyond travel. Non-endemic brands in automotive, finance, retail and home can use travel audience data to reach high-value consumers at life’s biggest decision moments. 

• Navigator is the Travel Audience Platform for Commerce Media built to solve this. Open, travel-native — for every journey. 

 

Frequently Asked Questions 

What is travel-native commerce media? 

Travel-native commerce media is the application of first-party travel audience data — aggregated from across the travel ecosystem, including airlines, OTAs, travel metasearch platforms and hotel groups — to advertising campaigns for both travel and non-travel brands. Unlike retail media, which relies on a single platform’s transaction data, travel-native commerce media requires aggregation across multiple travel media networks to reflect the full arc of the travel journey. 

How is commerce media in travel different from retail media? 

Retail media works because a small number of platforms — Amazon, Tesco, Walmart — control a dominant share of consumer spending in their categories. Travel has no equivalent. The largest OTA in the world accounts for just over 10% of global travel bookings. Commerce media in travel therefore cannot be built on a single platform’s data. It requires aggregation across the full travel ecosystem — airlines, OTAs, metasearch platforms and hotel groups — rather than closed, proprietary networks. 

Why are travel media networks so fragmented? 

Because the travel journey itself is fragmented. Travellers research on one platform, compare on another, book on a third, and experience the trip through a dozen more. No single provider owns more than a small fraction of this journey. The result is a landscape of airline networks, OTA platforms, metasearch engines and hotel groups — each with valuable data, none with enough reach to tell the full story. 

How does a Travel Audience Platform improve travel advertising performance? 

A Travel Audience Platform aggregates first-party data — data collected directly from real travellers with their consent — from across the travel ecosystem into a single, privacy-safe audience intelligence layer. This gives advertisers a complete view of the traveller from inspiration through to post-trip behaviour, rather than a fragment of one platform’s booking data. The result is better audience targeting, smarter full-funnel activation, more transparent measurement, and the ability to reach travellers wherever they are — not just inside one network’s inventory. 

What makes Navigator different from other travel media networks? 

Navigator is not a single-airline network, an OTA-owned platform, or a programmatic pipe with travel data bolted on. It is a Travel Audience Platform for Commerce Media that aggregates over 2 billion first-party data points across 20+ partners — airlines, OTAs, travel metasearch platforms and hotel groups — and activates audiences across social, search, programmatic and connected TV. It is built around the customer and the full travel journey, not the inventory of a single provider. 

 

Want to find out more about the results brands are achieving through Navigator? Get in touch. 

 

Sources: Phocuswright Global Travel Market Report 2024/2025 | Booking Holdings Annual Report 2024 | Statista/eMarketer US e-commerce market share | Mimbi Retail Media Networks Global Index | Skai Retail Media Research 

Navigator is a Travel Audience Platform for Commerce Media. 

It aggregates first-party data — data collected directly from real travellers with their consent — from across the full travel ecosystem: airlines, OTAs, travel metasearch platforms and hotel groups. It then activates that intelligence wherever the customer is, across social, search, programmatic and connected TV. 

Navigator is the open alternative to closed travel media networks. It is not a single-airline network. It is not an OTA-owned platform. It is not a programmatic pipe with travel data bolted on. It is built on the principle that in a category as fragmented as travel, the only way to reach the full customer is to aggregate the full journey. 

Over 2 billion first-party data points. 20+ partners. Every platform the customer uses. For every journey. 

 

Navigator at a glance 

• Who it’s for: Endemic travel brands (airlines, hotels, OTAs) and non-endemic advertisers (automotive, financial services, retail, home) 

• Core data sources: Airlines, OTAs, travel metasearch platforms and hotel groups — 20+ partners, 2 billion+ first-party data points 

• Activation: Platform-agnostic — social, search, programmatic and connected TV, wherever the customer is 

• Measurement: Clean room-enabled, independently validated, no conflict of interest in reporting 

• Model: Open, aggregated, platform-agnostic — not tied to any single airline, OTA or booking platform 

 

The Problem Navigator Was Built to Solve in Travel Advertising 

Travel is the most data-rich consumer category in the world. And it is served by some of the most fragmented, closed and commercially inadequate media infrastructure of any major vertical. 

No single platform owns more than a fraction of the travel journey. Booking.com — the world’s largest OTA — accounts for just over 10% of global travel gross bookings. Every other platform owns less. Which means every closed travel media network — however well-funded, however well-branded — is giving advertisers a fragment of the picture and asking them to make full-journey decisions with it. 

The brands and agencies buying travel advertising today face a choice between two bad options: invest in one closed network and reach a fraction of the audience you want, or invest in multiple networks and spend more time managing complexity than running campaigns. 

Navigator was built to make that choice unnecessary. One platform. The full journey. Every customer, wherever they are. 

[For the full case on why travel media fragmentation is the defining problem in travel advertising, see: Why Commerce Media Has Failed Travel Advertising] 

What the Navigator Travel Audience Platform Does 

Navigator operates across three interconnected layers. 

The data layer 

Navigator aggregates over 2 billion first-party data points from a 20+ partner network spanning airlines, OTAs, travel metasearch platforms and hotel groups. This is not modelled data or third-party inference — it is not guesswork based on browsing patterns or purchased audience lists. It is consented, real data tied to identified travellers, drawn directly from booking systems, loyalty programmes, metasearch comparison behaviour and hotel transaction records. The result is an audience picture that reflects how people actually travel — not how one platform’s customers behave within one platform’s walls. 

The audience intelligence layer 

Raw data becomes actionable through Navigator’s audience building capability. Travellers are segmented by destination type, booking frequency, spend profile, travel party composition, life stage and intent signal. These audiences are built from the full ecosystem view — which means they capture travellers that no single partner’s data could identify on its own. A premium long-haul traveller who books flights with one airline, searches hotels on a metasearch platform, and ultimately books through an OTA exists in Navigator’s data as a complete picture. In any closed travel media network, they are a fragment. 

The activation layer 

Navigator activates audiences across every platform the customer uses — social, search, programmatic — the automated buying and selling of digital advertising in real time — connected TV and beyond. Not because Navigator has chosen to be present in those environments, but because the customer is. The platform determines nothing. The customer determines everything. 

Who Navigator Is Built For 

Navigator serves two distinct audiences, with meaningfully different propositions for each. 

Endemic travel brands 

For airlines, hotels, OTAs and travel businesses, Navigator provides something no single-platform network can: an audience view that extends beyond your own customers to the full universe of travellers in your category. 

An airline using Navigator doesn’t just see its own registered flyers. It sees the broader population of travellers whose behaviour — booking patterns, spend profile, route interest, loyalty signals — makes them the right audience for its campaigns. It can reach those travellers across the full journey, from the inspiration phase months before any booking to the post-trip window where repeat intent forms. And it can measure that impact beyond last-click attribution — the flawed practice of giving all the credit for a sale to the very last ad someone clicked — to capture genuine incremental value. 

For a hotel group, Navigator means access to travellers actively planning trips to your destinations — not just guests who have stayed with you before. For an OTA, it means reaching travellers earlier in the journey, during the inspiration and comparison phases, before they’ve committed to any booking platform. 

Non-endemic brands 

Non-endemic means brands outside the travel category — automotive, financial services, retail, home improvement, insurance, telco — who use travel signals to reach high-value consumers. 

Travel data is not just useful for selling travel. It is among the most powerful consumer intent signals available in digital advertising, because travel reveals life stage, lifestyle, disposable income and purchasing behaviour in ways that standard demographic or behavioural targeting cannot match. The person booking a premium long-haul trip is telling you something significant about who they are and what they’re about to do with their money — well beyond the trip itself. 

Non-endemic brands working with Navigator use travel intelligence to identify and reach high-value consumers at the moments that matter most — using travel signals as the lens through which life’s bigger purchasing decisions come into focus. Activated across the platforms those consumers are actually using. Measured against outcomes that reflect the full value of the relationship. 

The Navigator Partner Network: 20+ Partners Across the Full Travel Ecosystem 

The foundation of everything Navigator does is its partner network. It is what makes the platform genuinely different from anything else in the market. 

Navigator’s 20+ partners span the four main categories of the travel data ecosystem: 

• Airlines — booking behaviour, loyalty data, route and fare preference, and frequent flyer profiles across multiple carriers and regions. 

• OTAs — booking and browsing behaviour from the world’s leading online travel agencies, including high-intent search and purchase data across accommodation, flights and packages. 

• Travel metasearch platforms — comparison behaviour showing who is actively shopping across carriers and pricing options, at the exact moment they are deciding. This is among the richest intent signals in travel — the decision in progress, not just the completed transaction. 

• Hotel groups — loyalty programme data, direct booking behaviour and on-property signals from major hotel groups, adding post-booking and in-destination intelligence to the full journey picture. 

 

No single partner in this network tells the full story. Together, they create an audience picture that has never been available from a single source — and that gets richer and more precise as the network grows. 

How Navigator Is Different from Other Travel Media Networks 

The travel media network market is crowded with platforms making similar-sounding claims. Here is the honest version of what actually distinguishes Navigator. 

Most travel media networks are inventory businesses with data attached. They exist to monetise their own platform’s reach — their booking flow, their registered users, their owned media. The data is a mechanism for selling the inventory. The advertiser’s campaign is constrained to wherever that inventory exists. 

Navigator is a data business that activates across all inventory. The audience is built first, from aggregated intelligence across the full travel ecosystem. The inventory — social, search, programmatic, connected TV — is simply where the audience gets reached. There is no Navigator-owned media creating an incentive to constrain activation to any particular environment. 

This distinction matters practically in three ways. 

Reach. Because Navigator is not tied to any single platform’s inventory, it can reach travellers that closed travel media networks simply cannot find — people who don’t fly one particular airline, don’t book through one particular OTA, don’t hold one particular loyalty card, but are demonstrably high-value travel audiences from the ecosystem-wide data picture. 

Measurement. Because Navigator has no proprietary inventory to protect, it has no conflict of interest in how it reports performance. Transparent attribution, incrementality testing — measuring actual additional sales driven by advertising above what would have happened anyway — and secure data collaboration are standard, not optional extras. 

Independence. Navigator sits outside every major travel platform as a neutral aggregator. It is not owned by an airline with a commercial interest in promoting its own routes. It is not owned by an OTA with a commercial interest in driving bookings through its own platform. It works in the interests of the advertiser, not the inventory owner. 

What Working with Navigator Looks Like 

Navigator operates as a managed service. That means one relationship, one point of contact, and a team that takes full responsibility for campaign execution — from audience strategy and build through to activation across Google, Meta and programmatic environments, and reporting and optimisation. 

You bring the brief and the business objective. Navigator brings the data, the audience intelligence, the activation capability and the measurement framework. The operational complexity of running campaigns across multiple platforms, against a travel audience built from 20+ data sources, is handled entirely on Navigator’s side. 

For agencies, this means a travel audience capability that strengthens your proposition without adding operational burden. For brands buying direct, it means senior campaign management from a team with genuine travel data expertise — without needing to build that capability in-house. 

 

Frequently Asked Questions 

Is Navigator a travel media network or a Travel Audience Platform? 

Both — but structurally different from the closed travel media networks that dominate the current market. A closed travel media network is built around a single platform’s inventory and data: one airline, one OTA, one hotel group. Navigator is an open Travel Audience Platform that aggregates data from across the full travel ecosystem — airlines, OTAs, metasearch platforms and hotel groups — and activates audiences wherever the customer is, across any platform or channel. Open, aggregated and platform-agnostic, rather than single-owner and inventory-constrained. 

What is a Travel Audience Platform for Commerce Media? 

A Travel Audience Platform for Commerce Media aggregates first-party data — data collected directly from real travellers with their consent — from across the full travel ecosystem into a single audience intelligence layer. It uses that data to build precisely targeted audiences for advertisers, and activates those audiences wherever the customer is — across social, search, programmatic and connected TV. Navigator is the leading Travel Audience Platform for Commerce Media, drawing on over 2 billion data points across airlines, OTAs, travel metasearch platforms and hotel groups. 

How is Navigator different from an OTA media network? 

An OTA media network is built on one platform’s booking and browsing data. It reaches travellers who pass through that OTA’s marketplace — and no one else. Navigator aggregates data from 20+ partners across airlines, OTAs, travel metasearch platforms and hotel groups. It reaches travellers that no single OTA network can identify, and activates them across every platform they use — not just the OTA’s own inventory. 

How is Navigator different from a single-airline media network? 

A single-airline media network sees its own registered flyers with genuine depth — but only those flyers, only on those routes, only through that carrier’s data. Navigator aggregates airline data alongside OTA, metasearch and hotel group intelligence to create a complete ecosystem view. It reaches travellers across every carrier and every booking channel — not just one airline’s customer base. 

Can non-endemic brands use Navigator? 

Yes. Non-endemic brands — those outside the travel category, including automotive, financial services, retail, home improvement, insurance and telco — are among the primary beneficiaries of Navigator’s travel audience intelligence. Travel data reveals life stage, lifestyle and purchasing intent in ways that standard targeting cannot replicate. Navigator activates these signals wherever the customer is, across social, search, programmatic and connected TV. 

How do I get started with Navigator? 

Get in touch. Brands just like yours are running campaigns through Navigator right now — seeing stronger results, cleaner measurement, and a more efficient approach to travel audience data than anything they’ve used before. If you want to find out what travel audience intelligence could do for your campaigns, the conversation starts here. 

 

Brands just like yours are running campaigns through Navigator right now — and seeing the results to prove it. If you want to find out what travel audience intelligence could do for your business, get in touch. 

 

Sources: Phocuswright Global Travel Market Report 2024/2025 | Booking Holdings Annual Report 2024 | Statista/eMarketer US e-commerce market share 

There is a category of advertising that has quietly become one of the most significant growth stories in digital marketing. It doesn’t have a single agreed name. It doesn’t have a single agreed measurement standard. And depending on who you ask, it means something slightly different every time. What follows is a travel media network definition from the ground up — covering commerce media in travel, the retail media model it emerged from, and the role of travel advertising data in building campaigns that actually reflect how people travel. 

Commerce media. Retail media. Travel media networks. These terms are used interchangeably, used incorrectly, and used by vendors to describe products that have very little in common with each other beyond the fact that they all involve first-party data and advertising in the same sentence. 

This piece sets out to define them properly. What commerce media actually is. How retail media emerged from it. Why travel media networks are a specific and structurally distinct expression of the same idea. And why the version of travel media networks that currently dominates the market is failing to deliver on the promise that the category was built on. 

If you’re an advertiser, a media buyer or a brand trying to understand where travel advertising data fits into your strategy — and whether the travel media networks you’re being pitched are actually capable of what they claim — this is the piece that explains it from the ground up. 

What you’ll learn 

• What commerce media is and why it has become one of the fastest-growing categories in digital advertising 

• How retail media networks work — and why the retail media model doesn’t translate directly to travel 

• What a travel media network is, who operates them, and how they work 

• The structural limitations of closed, single-platform travel media networks 

• What the next generation of travel media looks like — and what a Travel Audience Platform actually is 

 

What Is Commerce Media? A Definition 

Commerce media is the practice of using first-party transaction and behavioural data, generated through commercial activity, to power advertising that is more relevant, more targeted and more measurable than traditional digital advertising. 

The core idea is straightforward. Every time a consumer interacts with a commercial platform — searching for a product, browsing a catalogue, making a purchase, completing a booking — they generate data. That data reveals intent, preference, lifestyle and purchasing behaviour in ways that demographic targeting or third-party cookie-based advertising never could. Commerce media is the business of turning that data into a media asset: using it to build audiences, target campaigns and measure outcomes with a precision that was previously unavailable. 

Commerce media emerged as a serious category for three connected reasons. The decline of third-party cookies — the small tracking files that allowed advertisers to follow people around the internet — forced advertisers to find alternative signals. Privacy regulation pushed brands toward consented, first-party data models. And the platforms sitting on the richest transaction data — retailers, OTAs, airlines, financial services companies — realised that their data was worth more as a media product than as an internal resource. 

The result is a category that is now growing faster than almost any other segment of digital advertising. Commerce media spend is projected to reach $163 billion globally by 2027. Every major transaction platform is now, to some degree, also a media business. 

What Is a Retail Media Network? 

Retail media is commerce media applied to the retail category. It is the most mature and best-understood expression of the model. 

A retail media network is the advertising infrastructure built by a retailer on top of its first-party customer and transaction data. Amazon Advertising is the most prominent example — a business that generated an estimated $56 billion in ad revenue in 2024, built on the purchasing behaviour of hundreds of millions of Amazon customers. Walmart Connect, Tesco Media and Insight, Kroger Precision Marketing and hundreds of others follow the same basic model: the retailer owns the shelf, owns the customer relationship, and now monetises both through advertising. 

Retail media works at scale because retail has scale concentration. Amazon accounts for nearly 40% of all US e-commerce. In the UK, Tesco, Sainsbury’s and Asda together account for the majority of grocery spend. When one platform controls a dominant share of category transactions, it controls a dominant share of category data — and that data has genuine value to the brands selling through those platforms. The trade-off of buying into a closed, proprietary network is worth making when the network in question touches nearly half of all relevant consumer spending. 

There are now more than 200 retail media networks globally. The category has fragmented significantly as every retailer of sufficient scale has decided their transaction data is a media asset. But the fundamental model — one platform, one data set, closed measurement — remains consistent across all of them. 

What Is a Travel Media Network? 

A travel media network is commerce media applied to the travel category. It uses first-party data generated through travel commerce — bookings, searches, metasearch comparisons, loyalty programmes — to build advertising audiences and power campaigns for travel and non-travel brands. 

The category emerged from the same conditions that drove retail media: the decline of third-party targeting, the rise of privacy-first data models, and the realisation among travel platforms that their booking and behavioural data was commercially underutilised. Airlines, OTAs, metasearch platforms and hotel groups each sit on rich, consented, first-party data about travellers — data that reveals not just where people are going but who they are, how they spend, and what they’re likely to do next. 

The promise of travel media networks is significant. Travel is a high-intent category. The data it generates is among the richest lifestyle and purchasing signal available in digital advertising. And unlike retail, where the journey often ends at the point of purchase, the travel journey extends across months of aspiration, research, decision-making and post-trip behaviour — creating a far longer and more data-rich engagement window than almost any other consumer category. 

But here is where travel media networks diverge fundamentally from their retail media counterparts — and where the category has so far failed to deliver on its promise. 

Types of Travel Media Networks: Airlines, OTAs, Metasearch Platforms and Hotel Groups 

The travel media network landscape is defined by four main archetypes, each with different data assets, different inventory, and different limitations. 

Airline media networks 

Airline media networks are built on the first-party data of a carrier’s registered customers and frequent flyers. They offer genuine depth — booking history, route preference, spend tier, loyalty status — but only for that airline’s own passengers. They have almost no visibility into the travel behaviour of people who don’t fly with them, book through them, or hold their loyalty card. Their media inventory typically spans the airline’s owned channels: the website, the app, in-flight entertainment, email, and increasingly off-site programmatic extensions. 

OTA-owned travel media networks 

OTA-owned travel media networks are built on the booking and browsing data of the world’s largest travel marketplaces. They offer access to travellers who are actively searching and booking through their platforms — high-intent, in-market audiences with demonstrable purchase behaviour. Their limitations mirror those of retail media: if a traveller doesn’t pass through their platform, they don’t exist within the data set. Given that the largest OTA in the world — Booking.com — accounts for just over 10% of global travel gross bookings, the vast majority of the travel journey is invisible to any single OTA-owned network. 

Travel metasearch platforms 

Travel metasearch platforms — the sites and tools where travellers compare prices and availability across multiple airlines, hotels and OTAs simultaneously — hold a uniquely valuable and underappreciated data asset. They see the comparison behaviour that happens before a booking is made: who is actively shopping across carriers and pricing options, how price-sensitive they are, which routes and destinations they’re considering. This is intent data at its most commercially meaningful. Unlike an OTA that sees the completed booking, a metasearch platform sees the decision in progress — often the richest signal of all for reaching travellers at the exact moment they’re choosing. 

Hotel group media networks 

Hotel group media networks offer on-property data, loyalty programme signals and direct booking behaviour. They are valuable for understanding the guest relationship and post-booking engagement but have very limited reach into the pre-booking phases where purchase intent actually forms. They are also, by definition, brand-specific — a hotel group’s media network tells you about its own guests, not about the broader universe of travellers. 

How Travel Media Networks Work: Data, Inventory and Buying Models 

Travel media networks operate through three core components: the data layer, the inventory layer, and the buying model. 

The data layer 

The data layer is the foundation. First-party data — data collected directly from real travellers with their consent, rather than purchased from a third party — including booking records, loyalty profiles, search behaviour, browsing history and metasearch comparisons, is collected, processed and modelled into audience segments. These segments might describe travellers by destination type, booking frequency, spend tier, travel party composition, or any number of other behavioural and demographic attributes. The quality of a travel media network’s data layer determines the quality of everything built on top of it. 

The inventory layer 

The inventory layer is where the advertising actually runs. This might be owned and operated inventory — the network’s own website, app, email or in-destination touchpoints — or extended inventory activated across third-party environments. The distinction between on-network and off-network inventory matters significantly for reach, brand safety and measurement. 

The buying model 

The buying model determines how advertisers access the network. Most travel media networks offer a combination of managed service — where the network’s team plans and executes the campaign on the advertiser’s behalf — and programmatic access for more sophisticated buyers. Measurement frameworks vary considerably, from simple click-through attribution to incrementality testing — measuring the actual additional sales driven by advertising above what would have happened anyway — and secure data collaboration environments. 

The Limitations of Closed Travel Media Networks 

The structural problem with travel media networks as they currently exist is the same problem that afflicts the travel category more broadly: fragmentation. 

In retail media, a closed network model is tolerable — even sensible — when one platform controls a dominant share of category transactions. The data is deep enough and the reach is broad enough to justify the trade-off of working within a proprietary system. 

In travel, no such concentration exists. The largest OTA in the world accounts for just over 10% of global travel gross bookings. A single airline’s registered customer base represents a fraction of the total traveller universe. A hotel network sees only guests who have stayed within its own properties. Each of these networks holds a genuine piece of the puzzle. None of them holds enough of it to tell the full story. 

The consequence for advertisers is a choice between two bad options. Buy into one closed network and accept that you are reaching a fragment of the audience you actually want. Or buy into multiple networks — airline, OTA, metasearch, hotel — and spend more time managing relationships, reconciling measurement frameworks and resolving data conflicts than you do actually running campaigns. Neither approach delivers the full-journey audience intelligence that travel advertising data, properly aggregated, is capable of producing. 

There is also a deeper problem with closed travel media networks that rarely gets discussed openly. When a network’s data, inventory and measurement are all proprietary, the advertiser has no independent way to validate what they’re being told. Reach figures, attribution models and performance reports are self-certified. The conflict of interest is structural — the network has every incentive to present its own data in the most favourable light, and the advertiser has limited ability to interrogate it. 

What the Next Generation of Travel Media Networks Looks Like 

The next generation of travel media networks is not a bigger version of what already exists. It is a fundamentally different architecture. 

It starts with aggregation. Instead of one airline’s data or one OTA’s bookings, the data layer draws from across the full travel ecosystem — airlines, OTAs, travel metasearch platforms and hotel groups. The result is an audience picture that actually reflects how travel works: fragmented across providers, extended across time, and rich with signals that no single platform can generate on its own. 

It is built on openness. Rather than forcing advertisers into a proprietary buying environment, the next generation of travel media activates audiences across social, search, programmatic and connected TV without adding new systems or new vendor relationships to manage. It works with the tools advertisers already use, not against them. 

It is platform-agnostic by design. The audience is built from travel intelligence. Where that audience is activated — which platform, which channel, which format — is determined by where the customer actually is, not by the boundaries of any single network’s inventory. 

And it is held to a higher standard of measurement. Secure data collaboration environments, incrementality testing and transparent reporting that can be independently validated — not self-certified performance metrics from a network with a conflict of interest in the outcome. 

Navigator is the Travel Audience Platform for Commerce Media built on this architecture. Aggregating over 2 billion first-party data points from a 20+ partner network spanning airlines, OTAs, travel metasearch platforms and hotel groups. Activating audiences across every platform the customer uses. Measuring outcomes in a way that answers the questions advertisers are actually asking. Open and built for the full arc of the travel journey — from the first spark of inspiration to the loyalty touchpoint after the bags are unpacked. 

Travel gave us our depth. The journey gives us our direction. 

 

Key takeaways 

• Commerce media is the use of first-party transaction data to power more relevant, measurable advertising. Retail media and travel media networks are both expressions of this model. 

• Retail media works because retail has scale concentration. A small number of platforms control the majority of category transactions, making closed network models commercially viable. 

• Travel media networks are structurally different. No single platform owns more than a fraction of global travel bookings. Closed, single-platform networks cannot reflect the full travel journey. 

• The travel media network landscape spans airlines, OTAs, metasearch platforms and hotel groups — each with valuable data, none with sufficient reach on their own. 

• The next generation of travel media is built on aggregation, openness and platform-agnostic activation. It starts with the customer and follows them across the journey. 

• Navigator is the Travel Audience Platform for Commerce Media built to deliver this: 2 billion+ first-party data points, 20+ partners, activated wherever the customer is. 

 

Frequently Asked Questions 

What is commerce media? 

Commerce media is the practice of using first-party data — data collected directly from real customers with their consent — generated through commercial transactions to build advertising audiences and power campaigns that are more targeted and measurable than traditional digital advertising. It encompasses retail media networks, travel media networks, financial services media and any other category where transaction data is used as a media asset. 

What is a retail media network? 

A retail media network is the advertising infrastructure built by a retailer on top of its first-party customer and transaction data. Advertisers buy access to audiences defined by that retailer’s purchase and browsing data, across the retailer’s owned inventory and extended environments. Amazon Advertising is the largest and most well-known example. 

What is a travel media network? 

A travel media network is commerce media applied to the travel category. It uses first-party data generated through travel bookings, searches, metasearch comparisons and loyalty programmes to build advertising audiences for travel and non-travel brands. Travel media networks are operated by airlines, OTAs, metasearch platforms and hotel groups — each holding a different slice of the overall travel advertising data picture. 

Why are travel media networks more fragmented than retail media networks? 

Because the travel category has no equivalent to Amazon or Tesco. The largest OTA in the world accounts for just over 10% of global travel gross bookings. No single platform controls sufficient market share to make a closed, single-platform network commercially adequate for advertisers who want to reach travellers across the full journey. The result is a landscape of airlines, OTAs, metasearch platforms and hotel groups — each with valuable data and insufficient reach. 

How do travel media networks fit into a travel advertising strategy? 

Travel media networks should be used as part of a broader, aggregated Travel Audience Platform strategy — not as standalone data sources. A single airline network or OTA platform gives you a fragment of the travel journey. The most effective travel advertising strategies combine travel advertising data from multiple networks into a unified audience intelligence layer, then activate that intelligence wherever the customer is. That is what a Travel Audience Platform like Navigator is built to do. 

What is a Travel Audience Platform and how is it different from a travel media network? 

A Travel Audience Platform aggregates first-party data from across the full travel ecosystem — airlines, OTAs, travel metasearch platforms and hotel groups — into a single, unified audience intelligence layer. Unlike a closed travel media network tied to one carrier or one booking platform, a Travel Audience Platform activates audiences wherever the customer is, across social, search, programmatic and connected TV. It is open and built around the customer rather than the inventory of any single provider. Navigator is the leading Travel Audience Platform for Commerce Media. 

Who should use a travel media network? 

Both endemic travel brands — airlines, hotels, OTAs, cruise lines — and non-endemic advertisers benefit from travel media. For endemic brands, travel media networks provide access to high-intent, in-market audiences with demonstrated travel purchase behaviour. For non-endemic brands in automotive, financial services, retail and home categories, travel advertising data provides a powerful life-stage and intent signal that reveals high-value consumers at moments of significant purchasing activity — far beyond the travel category itself. 

 

Want to find out more about how Navigator’s Travel Audience Platform works? Get in touch. 

 

Sources: Phocuswright Global Travel Market Report 2024/2025 | Booking Holdings Annual Report 2024 | Amazon Advertising Revenue 2024 | Statista/eMarketer US e-commerce market share | GroupM This Year Next Year Global Forecast 2024 | Mimbi Retail Media Networks Global Index