3 huge opportunities to engage your most fickle traveler tribe

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We all know the travel market has long moved past the traditional high-value business-traveler vs low-value budget-traveler distinction. Think millennials with well-paying jobs who have made a New Year’s resolution to do a weekend trip every month; the late-20s traveler who has saved up to finally embark on a two-year-long world trip; the new parents who have unlimited vacation as a perk of their well-paying high-stress job - and take their regular week-long getaways seriously. There is value to be found in seemingly endless pockets of the travel market, but they know – as well as you do – that they have limitless choices and countless services vying for their attention and loyalty.

This disillusioned generation may be more difficult-to-retain, but they’re also investing heavily in overseas experiences. In a survey of more than 34,000 people from 137 countries, the WYSE Travel Confederation found this hard-to-win segment to be regularly choosing long-term trips over two-week jaunts, with young travelers on the move for an average of 58 days. 

How can you capture the hearts of this frequent and fast-moving – and increasingly high-value – group of people, and then get them to stick with you for the long-term?

Thinking about the long-haul through customer data

While industry disruptors invest heavily in audience-buying, predictive modeling and ‘best guesses’ to capture quick attention from mid-market travelers, well-established players in this market can instead grab the chance to build meaningful customer journeys that are based on definitive knowledge, through a few simple principles based on using existing customer data.

1. Don’t predict their path to conversion. Know it.

Whether airline, search engine or agent, you can turn your customer’s fragmented world of ‘option shock’ into an opportunity to offer them travel bundles which truly resonate with them. With a few little tweaks to your existing CX ecosystem, you can recognize your customers across all communication and ad channels, by matching their exact profile with the data they directly shared when they last traveled with you. 

In doing this, you can deliver a travel package precisely for them, which really makes sense for their preferences, previous destinations and behaviors, in the place they’re looking for it - and at just the moment they need to kickstart plans, or turn casual browsing into a booking commitment. 

2. Discover simple service solutions in existing data streams 

Be as flexible in serving your customers as they are in browsing for trip options, in a world where business and pleasure merge, flex-hours have become the norm, and the age of convenience is here to stay. 

Time is of the essence, and you can understand your customer’s fluctuating movements better by using their booking history, previous service enquiries, direct search data and email interactions - and augmenting this with trusted partner data, to smoothen out or mitigate service hurdles in real time. Did that couple bring a baby-on-board last time? Be there with a family-based flight ancillary to help them get from A, to B, to C, with zero hassle. 

Did you know via your mobile app that they arrived at London Heathrow airport on those exact dates last year, but they didn’t book with you? This time around, win them back with real-time treatment, serving them via that chat interface where they’re most responsive, to let them know you that you have a personalized price in mind just for them - and that you care.

3. Hit ‘Escape’ on annoyance by stopping the spam 

There’s a lot to be said for helping your newly loyal millennials to truly switch off. A proliferation of digital devices and easy communication makes it all the more important for you to use customer data responsibly. When they’re away, you have a chance to prove the value of this data exchange they have willingly entered into, and reinforce a relationship of trust by carefully capping your targeting, switching off your ads, and stopping the influx of emails which will fall flat as they indulge in a much-needed digital detox. 

This is because now, more than ever, brands in fickle markets such as travel need to create customer preference - a quicker-win, easier-to-influence shift in brand allegiance or advocacy. Functional needs like pricing are still fundamental to these coveted mid-market travelers of course. But if they decide to go the distance with your brand, they’re sharing their coveted data with you in exchange for something beyond function - opting for inspiration and relevance over the premise of a basic transaction. 

That the Millennials’ Choice Survey highlighted Airbnb as a firm favorite travel brand proves this. They don’t matchmake people with lowest prices - they match people with experiences; helping individuals, couples, friends, and families to discover local ways of living, and enriching relationships with the world, by learning from individuals. 

So now is the time to build a one-to-one relationship with this promising group of travelers, by engaging with what they care about one on one, based on what they have already told you. This is the opportunity to turn them from frequent but fickle travelers into loyalists, by using an asset which for many remains untapped - customer data. 

It means convenience, anticipation, adaptation, and ultimately - showing you care. It means knowing, not assuming. And it can be done just by connecting your existing trails of information, and applying it intelligently and intuitively to everyday customer interactions.


 

Journeys to loyalty with customer data

Looking for the best way to capture your travel customer’s heart? If you ask us, it all starts with a personal conversation. You need to understand what they want, when they want it and how. And then you need be able to give it to them.

Luckily, you already have all the data you need to help your customers get from A to B on their own terms. Get these insights and more in our new Travel Insights Hub.

Travel Insights Hub

Journeys to loyalty with customer data

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