Travel marketing used to run on a dependable old timetable. Load the summer campaign, buy the media, polish the beach shot, sprinkle a little “book now” fairy dust and wait for the bookings to roll in. It was not subtle, but it often worked. Like a travel agent’s wall calendar, it had a certain honest usefulness.
That calendar is now in the recycling bin.
In 2026, the traveller is still keen, but far less obedient. They compare, pause, ask, scroll, disappear, reappear and then book through a channel no one in the Monday marketing meeting had quite expected. They are not necessarily spending less, but they are spending more carefully. Deloitte’s 2026 Travel Industry Outlook points to financial pessimism among higher-income travellers and economic uncertainty influencing leisure and corporate travel behaviour, while its summer travel research says rising travel costs are reshaping holiday plans.
That is why Agentic AI has moved from the novelty drawer into the commercial toolkit. For travel brands, this is not about replacing the marketer with a tin man in a headset. It is about giving the marketer something the old campaign model never had: a system that can read intent, act in real time and keep optimising after the first ad has left the building.
Appier, the AI-native Agentic AI-as-a-Service company, is one of the players pushing this argument hardest. Its proposition is straightforward enough: unify scattered customer data, identify high-value audiences, personalise offers and use AI to make better marketing decisions across the funnel. Appier says its AI-driven Data Cloud enables real-time decision-making and audience activation across the marketing stack.
The need is obvious. Peak season is no longer a neat mountain. It is a lumpy range of hills. Early-bird customers book months in advance to beat the price increase. Last-minute travellers wait until the fare gods blink. Free independent travellers want flexibility. Premium guests still want polish, but they also want proof. Families are weighing value. Corporate buyers are watching budgets. Everyone is alert to price, but nobody wants to feel cheap.
For marketers, that makes the old “more spend equals more growth” theory look tired. Throwing money at the market is easy. Making that money behave is the art.
The customer journey has also become a cheerful mess. A traveller may see Japan on TikTok, ask a generative AI tool for a seven-day itinerary, check YouTube for hotel walk-throughs, compare flights on a metasearch site, browse an OTA, abandon the cart, reopen the app on the train, and finally book after a push notification lands at the right moment. That is not a funnel. That is a bowl of noodles wearing noise-cancelling headphones.
Agentic AI matters because it is designed for that mess. Traditional AI might analyse a campaign or generate copy. Agentic AI is intended to go further: interpret the business goal, select the next best action, test the result and adjust the plan. Used properly, it turns marketing from a calendar exercise into a live commercial engine.
The best test, of course, is not whether the technology sounds impressive at a conference. Every technology sounds impressive at a conference, particularly after the second coffee. The test is whether it moves bookings, revenue and margin.
Appier’s travel case studies suggest why the sector is paying attention. Korean leisure platform NOL turned to Appier after Apple’s privacy changes made targeting more difficult. Appier says NOL used AI-powered audience modelling and purchase lookalike technology to reach higher-value users, delivering more than 180% day-seven return on ad spend and 600% install growth while maintaining stable cost per install.
Omio, the multimodal travel booking platform, faced a different but familiar challenge: grow without simply buying unprofitable volume. Appier says Omio used Agentic Incrementality, supported by Media Mix Modelling, to measure the causal impact of different ad creative and inventory combinations. The programme helped Omio expand acquisition from Spain into 21 European markets within one year while meeting CPA and ROAS targets.
Taiwan’s ezTravel provides the retention story. By bringing web and app behaviour into a more unified view, ezTravel used Appier’s personalisation tools to send more relevant push notifications and in-app messages. Appier’s announcement reported click-through rate increases of four times to as much as 6.8 times.
None of this means travel brands should hand the keys to the machine and go to lunch. Travel still runs on trust, service, product and timing. A clever algorithm cannot rescue a poor resort, a confused fare structure or a cruise offer that reads like it was assembled by committee during a fire drill. Humans still set the standard. Humans still protect the brand. Humans still know when a message sounds warm, useful and commercial rather than merely efficient.
But the marketing back office has changed. BCG’s 2026 work on agentic marketing found that 96% of surveyed CMOs said AI is driving end-to-end transformation of their function, while only about a third had actually built the required capabilities. In other words, everyone has found the brass band; not everyone has learned the tune.
For travel, the gap is dangerous. Search is changing, AI assistants are influencing discovery, and consumers increasingly expect brands to respond with relevance rather than repetition. Generative Engine Optimisation now belongs beside SEO because travel content must be clear enough for people, structured enough for machines and authoritative enough to be trusted. If an AI search answer becomes the new shop window, travel brands cannot afford to be standing in the laneway.
The lesson for 2026 is plain. The brands that win will not be the ones shouting loudest. They will be the ones listening fastest. They will know when a traveller is dreaming, comparing, hesitating or ready to buy. They will understand which offer belongs to which customer and which customer is worth paying to acquire.
Agentic AI will not make marketing easy. Nothing worthwhile in travel has ever been easy, from yield management to airport transfers in peak traffic. But it can make marketing sharper, faster and more accountable. In a year when costs are high, journeys are fragmented, and travellers are cautious, that may be the difference between filling rooms and merely filling reports.
The old playbook has had a good run. It wore a blazer, kept receipts and knew the lunch spots. But 2026 is not waiting for it. Travel marketing has boarded a new aircraft, and Agentic AI is already in the cockpit, checking the instruments.
Learn more at www.appier.com.
By: Octavia Koo – © 2026.
Read Time: 5 minutes.
Author Bio:
Octavia Koo arrived in Australia in the early eighties with little fuss and a good eye. Sydney suited her. At UNSW, she studied Arts, then found her footing in graphic design before drifting, quite naturally, into the digital side of things, building websites and shaping words that made people want to stay.
Singapore followed, and with it, the fast pace of tourism platforms and ITB Asia. Long before SEO became a buzzword, Octavia understood how stories travelled online. That’s where she met Stephen, and the seed for something more was planted.
A few years later, she joined Global Travel Media.
Today, Octavia works with quiet assurance, blending art, instinct and experience to produce stories that don’t shout; they simply work and linger.
