Loading...

11 Mar 2026 22:34

Editor's Pick Recommended for You Tech & Start Up

Hyper-personalisation: is 2024 the year it could finally happen?

When it comes to personalisation in the sale of travel products there’s personalisation, and then there’s ‘hyper-personalisation’ – knowing and catering to the traveller’s specific likes and whims, from what temperature they like their hotel room to what seat they prefer on a plane.

As hyper-personalisation goes beyond the standard strategies used for personalisation, it involves a whole new style of segmentation that relies on harnessing unseen-before amounts of data. Much of it in real-time.

With recent advances in artificial intelligence and machine learning, travel companies may finally be in a position to offer this kind of service to travellers. We spoke with some travel technology experts to find out whether this is likely to happen any time soon and what the industry needs to do to prepare.

So what’s the benefit for travel brands that manage to achieve this? Martin Eade from travel search and booking technology provider Vibe believes there’s a lot riding on this. “This is the holy grail of personalisation and the first company to get this right will have a real first mover advantage. After all, why would customers switch from a hotel or airline that can anticipate their needs before they even know them themselves?”.

Perhaps you are wondering though what kind of technology is needed to make this work? Rubén Sánchez, CEO from leading hotel revenue management platform BEONx explains that the more travel companies are able to improve their knowledge of their guests through data analysis, the easier it will be to design hyper-personalized experiences that are adapted to the specific needs of each guest. “The aim is to create strategies that make each guest feel special and unique, instead of feeling like a faceless member of a generic market segment. But before companies can achieve hyper-personalisation, they need to shift their focus from the product to the client, developing a customer-centric strategy. Harnessing data will help them to understand exactly who their clients are, how they behave, and what they expect when they come to stay at a hotel, or travel on a specific airline.”

Clearly this success depends on gaining access to data about your customer in order to anticipate their needs and one way to get closer to achieve that is via offering subscription services, thus obtaining more insight into the user. Janis Dzenis from travel price comparison website WayAway – which also offers a subscription service – points out that “getting consumers to share their data is often hard, but if they are a subscriber and therefore are signed up and using search tools within your platform frequently, you learn more about their needs. This makes it that bit easier to curate travel experiences they are more likely to find appealing, and so book. And this is just the beginning, we’re excited about what the future holds”.

Another way artificial intelligence can enable hyper-personalisation is via automation. Adam Harris, Co-Founder and CEO of Cloudbeds, the hospitality tech platform powering more reservations and happier guests for independent lodging businesses around the globe, believes this to be the case in the hospitality space and points out that automation tools powered by artificial intelligence will unburden hoteliers in new and interesting ways. “Valuable, quick ‘recipes’ for automation will allow hoteliers to create predictable, reliable processes so they take their hands off keyboards and create more unique human-to-human interactions. At Cloudbeds, we’re building toward a world where AI-powered automations check out guests, trigger emails for last-minute reservations, add notes for housekeeping when a VIP guest arrives, and create in-depth reports with insights that drive better decisions. When a hotelier’s days become less manual, their guests’ personalized experience will soar.”

Hyper-personalisation is likely to lead to increased accuracy and optimisation in areas such as pricing too. Koert Grasveld, Vice President Payments at B2B travel payments company Terrapay says companies should prepare themselves with the right technologies when it comes to knock-on effect on their invoicing payments. “Smart payment solutions that can cope with real-time, complex and micro-level changes to pricing are what is required not just on the consumer side of things but also on the B2B settlements too. There’s a lot of tech out there now that can help you to automate and both save money and improve accuracy too.”

But is this really going to happen in 2024? Or any time soon? Gareth Matthews, Chief Marketing Officer at global travel distribution provider Didatravel thinks the industry might finally be in a position to offer elements of this to travellers in 2024. “Thanks to the massive explosion in the capabilities of artificial intelligence, it’s now possible to analyse vast amounts of data instantly, including travel history, preferences, social media activity, and demographic information, to identify new patterns and understand individual travellers’ preferences better than we ever have before. The medium-term future for sure is very promising.”

As a final thought Craig Everett, Founder and CEO from Holibob, the experiences tech provider to tourism boards and online travel sellers, comments that hyper-personalisation might lead to a related new trend: hyper-localisation. “Not only do these new technologies empower travel companies to develop a more intricate knowledge of their traveller, they fast-track deeper contextual understanding of their interests in relation to their destination. This has the opportunity to unlock a level of hyper-local, hyper-relevant online recommendations that could finally push the experiences sector into the online realm – opening an enormous opportunity for every travel brand to capitalize on the $250B opportunity that is the experiences market by meeting travellers where they are, when they are ready to book.”

Source-Belvera Partners

(Visited 35 times, 1 visits today)
peri hokiperihokiduta76duta 76ABC1131 - MPO SLOTABC1131 Bandar Slot Togelmix parlay agen slot qrisMPOGALAXYslot thailandAWSBETkincir88ABC1131ABC1131 LOGINaws korelasi parameter mahjong waysaws teori permainan mahjong ways3aws manajemen risiko gates olympusaws breakdown volatilitas mahjong winsaws model stokastik sweet bonanzaaws tren rtp intensitas scatteraws metode analisis mahjong winsaws pemantauan rtp live pgsoftaws fase tenang mahjong waysaws wild emas olympus multiplieraws evaluasi sesi mahjong waysaws grid terbuka reaksi berantaiaws diskusi komunitas mahjong waysaws jadwal bermain mahjong waysaws tren digital mahjong waysaws sinkronisasi reel mahjong waysaws perilaku pemain mahjong winsaws atmosfer malam mahjong wayscara menguak teknik cerdas mahjong wild deluxe dadu sicbo gates of olympus perihoki paling barutatktik analisa pola dan strategi terapan mahjong ways 2 pgsoft baccarat starlight princess perihokipanduan mudah teknik peluang dan analisa mahjong wins 3 pragmatic blackjack sweet bonanza perihokimenyingkap tabir teknik peluang dan rtp live roulette mahjong ways 2 pgsoft wild west gold perihokikombinasi unik gunakan pola dan analisa cerdas mahjong wins 3 pragmatic blackjack sugar rush sv388 perihokipola strategi terbaik untuk menang mahjong wild deluxe dadu sicbo gates of olympus duta76tata cara menguasai teknik dan strategi menang mahjong ways 2 pgsoft starlight princess duta76taktik paling unggul dan pola rahasia mahjong wins 3 pragmatic blackjack sweet bonanza duta76peta peluang strategi terapan duta76 main mahjong ways 2 pgsof roulette wild west gold roulette duta76eksperimen lengkap teknik serta taktik menang mahjong wins 3 sugar rush blackjack duta76persistensi sesi walk of shame indikator stabilakselerasi mahjong princess teknologi cloudsimulasi probabilistik roma fastspin distribusi hasilintegrasi perencanaan sesi golden horse ridelogika pola dragon ball 63 jutaaws pola rtp konsistensi sesiaws momentum rtp live mahjongaws dc off turbo aztecaws momentum scatter wild rtpaws strategi algoritma rtp mahjongaws jackpot progresif mahjong waysaws siklus rtp mahjong winsaws fluktuasi rtp scatter hitamaws observasi rtp scatter hitamaws analisis rtp wild bountyaws kontrol optimal sweet bonanzaaws risiko modal kaskade bonanzaaws update rtp live harianaws rtp live permainan ramaiaws ritme visual mahjong winsaws ritme spin mahjong winsaws rotasi dinamis mahjong winsaws pola andalan mahjong waysaws transisi kecepatan mahjong winsaws sesi tenang mahjong waysaws analisis mahjong jam efektifaws analisis pola frekuensi mahjong waysaws eksplorasi mahjong ways bonusaws evaluasi fase sweet bonanzaaws inovasi platform pgsoft rtpaws jalur multiplier mahjong bonanzaaws kerangka strategi rasional lucky nekoaws observasi baccarat ritme malamaws observasi wild mahjong malamaws panduan membaca roadmap rtp liveaws perencanaan distribusi modal mahjong winsaws perencanaan laju mahjong sistemaws rekonfigurasi analisis bonus mahjong waysaws rotasi mahjong eskalasi intensitasaws strategi finansial mahjong wins 3aws strategi lengkap bermain mahjong winsaws strategi presisi fluktuasi rtp pg softaws teknik strategi mahjong wins 3aws teori permainan mahjong ways 2aws transformasi digital rtp pg softmanual algoritma glory of rome 95 persenmanajemen sesi mahjong ways 3 ramadan 2026formula great rhino megaways 97 persensinergi tata kelola modal aztec gemsinvestigasi gpu cloud madame destiny responsifsinkronisasi durasi sesi 5 lions megawaysprotokol algoritma thor megaways 48 jutaskema efektivitas bigger bass bonanza 16 jutaobservasi pola jokers jewels tingkat keberhasilankonsistensi pola dragon hatch 17 jutaaws antarmuka mahjong navigasi adaptifaws dimensi paralel mahjong wins3aws dinamika tren permainan onlineaws evaluasi variansi data rtpaws interaksi komunitas mahjong waysaws jejak esoterik mahjong wins3aws laporan riset rtp pgsoftaws lonjakan multiplier mahjong wins3aws monitoring data starlight princessaws navigasi server thailand mahjongaws panduan pola sweet bonanzaaws pemantauan rtp harian realtimeaws pemetaan struktur data rtpaws pendekatan ritme sweet bonanzaaws perbandingan server mahjong waysaws persilangan mahjong wins3 sugaraws ritme bandito algoritmaaws ritme sesi mahjong ways2aws transformasi putaran akhir mahjongaws variansi performa dinamika rtp Top