Measuring and making the most of consumer data

Travel brands are sitting on huge value in their databases but are yet to unlock its full potential, which will be game changing

Virtually every consumer-facing travel brand is capturing critical data constantly from their site visitors but many are struggling to maximise its value says EyeforTravel and Datumize’s new Understanding Customer Behaviour Through Demand-Based Analytics white paper. This is because of the reams of information that are being constantly created across multiple channels and the need to be always on and live. These factors often prevent travel companies from getting down to the key metrics that matter and being able to fully extract and study them.

“Travel companies normally only have access to converted sales and aren’t able to track all the requests that customers are making though channels,” explains Datumize’s head of marketing Carlota Feliu.

“Some of them they can track, for example, through their own website. But the vast majority they are not capable of tracking this data with the technologies they are using. Everything that you want to do in demand forecasting starts with good data and good knowledge of your customers – without this, you won’t be able to understand demand, predict it, or increase it,” says Feliu.

She points to several key areas where brands can start to interrogate their data:

Inventory: Do you have the right offer at the right price in each area?

Availability: Do you have the stock available to action all requests, and in the right price range?

Experience: Are all software links in the chain performing as they should for a quick, smooth booking?

Vueling Airlines, a Spanish, low-cost provider, has around five million search queries a day, 50% of which come directly from customers and 50% from online travel agencies and other tour operators. But since its business goal is to answer all enquiries for a flight in a second or less, it was struggling to store and make use of all this demand data.

Jonathan Guerrero Corcho, innovation manager, explains that a Datumize solution – which monitors everything without adding any code to the main process or slowing anything down – means that the business can now understand more which kinds of routes and dates are most in-demand, with negligible noticeable effects to end users.

“We can see if a route is being asked for more times than we are operating on for those days and we can not only adjust the current schedule but we can adjust the next schedule,” he says. “We can say ‘this route is better to operate on Tuesday than Monday, as the numbers are saying that this route is more requested on Tuesday.’”

This kind of learning is particularly important for a business that does not operate the same flights each day, but a limited number of times a week.

For more case studies of brands that have driven performance gains from better utilisation of data, download the free white paper now.Demand-based analytics promise a step-change in travel brands’ capabilities, unlocking huge insights that will allow brands to better target consumers, build superior products and adjust faster to changing patterns. To understand how to unlock the value contained in demand-based data, download the Understanding Customer Behaviour Through Demand-Based Analytics white paper now! It includes:

• Real-world examples and case studies
• Industry survey data
• Data-based techniques and areas of focus that can improve business performance immediately
• Expert insight.

This white paper features insights from:

• Europcar
• IHG
• The Travel Corporation
• Thomas Cook Hotels & Resorts
• Vueling
• W2M.

Click here to download your copy of the white paper for free!

How simple measurements can make a big difference to travel brands’ performance

Travel brands can make huge leaps in performance through relatively simple measurements and metrics finds new white paper

Rigorously monitoring even the most basic of demand-based data can make a critical difference to overall performance says EyeforTravel and Datumize’s new Understanding Customer Behaviour Through Demand-Based Analytics white paper, which is available to download now. The paper finds tracking own-site searches, business-to-business requests, drop-outs across the funnel and service availability can result in major uplifts to bookings.

“All companies know what they sell – but they don’t know what they don’t sell,” says Josep Maria Gomis, Travel Solutions Architect, at Datumize. He suggests that travel brands can grab uplifts in conversions quickly by monitoring simple elements such as geographies for where requests are received. “When we deployed our solution with one of our clients five years ago, for example, we found that the first region they received requests for was Spain.” The sales director knew this already, and he was also blasé about the discovery that the second most common type of request was for inventory in France. But the fourth region – to his astonishment – was China. “He said – ‘you are wrong – we are not selling in China!’” says Gomis. “And we said, ‘you are not selling because you don’t have a product, but this is the fourth most popular market for which you receive requests. You should have a product for them! We consider this a lost sale.’ And after a month they started offering products for China. Profits went up.”

Another way of finding these lost sales and improving business performance quickly through monitoring requests is looking at the languages used: “One of our customers discovered that people were looking for products on its Polish webpage but typing in queries in the German language,” says Datumize founder Nacho Lafuente. “This might seem like a stupid case but it’s tens of thousands of euros that you are not converting. If you are looking for ‘Crete’, a Greek island, on a Polish page, then the result is not found.” Analysing requests can find that some customers are not finding products that you have available because of a language gap. Not every destination is the same in every language, which leaves an obvious measurement metric to judge whether the offering matches what your clients are searching for.

Demand-based analytics create opportunities to match a brand’s product with the true picture of what customers want and are looking for.  

Measuring relatively simple metrics, such as those above, also gives brands an opportunity to search for patterns and critically when anomalies occur in those patterns. For Spanish tour operator W2M, which receives 250 million availability requests per day, finding the mismatches has been a key driver of business performance. W2M has set up some automatic alarms to flag up higher-than-expected error ratios, so the IT team can respond immediately. “We went from a 10% level of error to under 5%,” says Ernesto Sigg Rodríguez, head of clients and supplier performance. “I would say that represents between 5% and 10% growth in terms of sales,” which has made major difference to his business where margins are very slim.

Making dynamic changes and working across a business to implement them requires constant inputs, says Lafuente. “When you are dealing with a highly competitive business such as travel, margins are so low that they need to squeeze [every] euro,” he says. “It’s not only about having a general understanding or perception of how things are going. You need to photograph every single minute and have alarms for things if they break certain thresholds.”

Demand-based analytics promise a step-change in travel brands’ capabilities, unlocking huge insights that will allow brands to better target consumers, build superior products and adjust faster to changing patterns. To understand how to unlock the value contained in demand-based data, download the Understanding Customer Behaviour Through Demand-Based Analytics white paper now! It includes:

• Real-world examples and case studies
• Industry survey data
• Data-based techniques and areas of focus that can improve business performance immediately
• Expert insight.

This white paper features insights from:

• Europcar
• IHG
• The Travel Corporation
• Thomas Cook Hotels & Resorts
• Vueling
• W2M.

Click here to download your copy of the white paper for free!

Why demand-based data matters

Demand-based analytics promise a step-change in travel brands’ capabilities, unlocking huge insights that will allow brands to better target consumers, build superior products and adjust faster to changing patterns says new research

Demand-based data is increasingly important and can allow travel brands to become both more agile in the short-term and better prepared for long-term trends according to the new Understanding Customer Behaviour Through Demand-Based Analytics white paper from EyeforTravel and Datumize, which is free to download now. Looking at ongoing demand patterns will arm travel brands with a wide-range of capabilities, such as more responsive marketing, better-adjusted pricing, more personalised products, superior forecasting capabilities and increased planning capabilities.

This kind of data is of utmost importance to a youth brand like Contiki, part of The Travel Corporation’s agglomeration of 30 international brands. Raj Dhawan, senior executive, technology at The Travel Corporation, explains that understanding and forecasting demand is critical to keeping Contiki’s catalogue of offerings appealing and up-to-date.

“The one area that we look at regularly is search terms on our website – the cities and countries where people are searching,” he explains. “That may result in us culling some trips and destinations or increasing our inventory on those destinations.

“There are areas and destinations that are hot in the market versus those that are not, and every year that changes a bit. Based on that, our product changes to some extent, with variations that could appeal to the audience that we have.”

Building on this monitoring, the business is experimenting with a machine learning pilot to give these learnings a concrete and immediate use: Depending on patterns of searches, for example for a particular area or cost bracket, Contiki customers will see a website personalised for their type of customer.

“When people search for certain terms, the website is curated based on this,” says Dhawan. “That’s something we are piloting, and that uses machine learning and the search product on the website.”

This is just one example of the insights from brands featured in the white paper. Download the full research now to get more from industry leaders, including Europcar, IHG, Thomas Cook Hotels & Resorts, Vueling and W2M.

Demand-based analytics promise a step-change in travel brands’ capabilities, unlocking huge insights that will allow brands to better target consumers, build superior products and adjust faster to changing patterns. To understand how to unlock the value contained in demand-based data, download the Understanding Customer Behaviour Through Demand-Based Analytics white paper now! It includes:

• Real-world examples and case studies
• Industry survey data
• Data-based techniques and areas of focus that can improve business performance immediately
• Expert insight.

This white paper features insights from:

• Europcar
• IHG
• The Travel Corporation
• Thomas Cook Hotels & Resorts
• Vueling
• W2M.

Click here to download your copy of the white paper for free!

Are travel companies ready for the digital revolution?

Travel companies are struggling to transform themselves for the digital age, with digital transformation, technological and data siloes and internal data quality their top three internal challenges

According to the World Economic Forum, digitisation in the aviation, travel and tourism industries is expected to create up to USD305 billion in value through increased profitability up to 2025. This should make digitisation a key priority for the travel industry, however, achieving a strong platform to do so is proving difficult for travel brands. This is one of the findings from the new Understanding Customer Behaviour Through Demand-Based Analytics white paper from EyeforTravel and Datumize, which is free to download now.

In a major survey of the industry featured in the white paper, travel suppliers (accommodation, car hire, cruise, ground transport, airlines & tour operators) said that their greatest internal issue is digital transformation (34.4% of respondents). This is followed by technological alignment (30.5%) and the perennial concern of data siloes and internal data quality (29%), both of which are critical to achieving a digital brand fit for the 21^st Century.  

“Our data and the industry interviews conducted for this white paper suggests that a significant proportion of the travel industry is struggling to construct the necessary infrastructure to create strong digital brands,” said Alex Hadwick, Head of Research for EyeforTravel. “Stringent data practices increasingly underpin the modern travel sector, which is emphasised by our finding that the most important trend for travel suppliers right now is GDPR and cyber security, followed by big data and analytics. There is huge value to be unlocked but brands need to get the basics right first by complying with regulations, creating secure, structured and accessible databases and measuring the right metrics.”

The research recommends that brands move data into the cloud and focus on getting a picture of total demand. This is the approach of hotel giant IHG: “Before we had a big data platform, we weren’t able to store and analyze our availability requests,” said Jeff Garber, vice president of revenue management systems at IHG during the EyeforTravel 2018 Digital Data Europe conference. “We had a lot of information about reservations, and customers that had made reservations. As we bring more data into that big data platform, we can really understand the choice model. Our next step is merchandising and being smarter about what people aren’t buying so that we can reduce the clutter we are showing to them.”

Demand-based analytics promise a step-change in travel brands’ capabilities, unlocking huge insights that will allow brands to better target consumers, build superior products and adjust faster to changing patterns. To understand how to unlock the value contained in demand-based data, download the Understanding Customer Behavior Through Demand-Based Analytics white paper now! It includes:

• Real-world examples and case studies
• Industry survey data
• Data-based techniques and areas of focus that can improve business performance immediately
• Expert insight.

This white paper features insights from:

• Europcar
• IHG
• The Travel Corporation
• Thomas Cook Hotels & Resorts
• Vueling
• W2M.

Click here to download your copy of the white paper for free!