Tracking Tourism: The Tourism Research Blog Archive for the ‘Data’ Category

No longer can the Internet be viewed just as an add-on to marketing efforts - it is now an integral, critical part of travel distribution.

That was the view expressed by Diane Clarkson, Travel Industry Analysts at Jupiter Research and Bill Tancer, god of all things data at Hitwise, in this evening’s excellent webinar: Travel 2.0 Today, The Economy and the Evolving Travel Landscape.

More critically, Hitwise have found (through their clickstream analysis of internet users as they move from site to site) that traffic to the travel category of websites is actually increasing as people tighten their belts.

There has been no drop in travel website visits as fuel prices increase. People are instead researching their travel decisions more intensively online and are shifting to the online channel as they become more price sensitive.

Internet and online travel becomes more important in tough economic times.
Bill Tancer, Hitwise

Jupiter Research’s data backs this up. Their US Online Travel Consumer Survey from May ‘08 suggest that the next 12 months could see a sharp decline in travel frequency - with 39% of occasional leisure travellers and 43% of occaisional business travellers suggesting that they are planing fewer trips in the coming year. But the impact, Diane explains, is that “the Internet will increasingly become a tool as people research more intensely”.

The business implications of that are immense - while you may have cruised by on a sub-par website in good times, as things toughen up in the sector, people are looking at more websites and so it is critical you can attract and retain visitors on yours.

Bill and Diane’s webinar covered three key topics:

• The impact on travel of the economic downturn
• The impact of user generated content on travel brands and travel consumers
• The potential for travel and social network sites.

They kindly gave permission for their content to be blogged openly, which is much appreciated as it is not always the case with such industry analyst briefings. When the webinar is available online, I will add the link as its really worth a listen. In the meantime here are a few of the conclusions from their respective research efforts that really tingled some brain cells for me:

1. User generated content is used by 40% of online travel researchers

Yup, 40%. Not hardly anyone, or a bunch of geeks, or a few back packing students - but 4 out of 10 of the people researching travel. Jupiter’s US Online Travel Consumer Survey from May ‘08 found that for this 40% using user generated content, ratings were the most popular (used by 58%), followed by reviews and recommendations (49%). Next came user generated photo content (18%) and friend’s social networking websites (18%). Other travellers blogs we consulted by 12% and user generated video by 5%.

The impacts of this? Diane cited the importance of using this content regularly and systematically as a source of competitor intelligence. And as the next point will illustrate, she also highlighted the importance for the contribution of travellers to be included as part of brand strategy. Why? Because user generated content is highly trusted.

2. User generated content is nearly twice as influential as brand to accommodation researchers

User generated content is far more influential than brand or the recommendations of friends and family

After price and location, for those using ugc, reviews/ratings from other travellers was the major influence in the decision making process. 36% named it as an influential factor in their decision, compared to 21% citing brand/reputation and 14% citing that old chestnut of family/friend recommendation. (Source Jupiter as above).

Hitwise’s clickstream data shows that visits to travel user generated content have increased 40% in the year since June 2007. They also reveal (perhaps no surprises) that it is TripAdivsor that is the heavyweight, accounting for more than 75% of the Travel UGC and 2.0 market share. (IgoUgo pales into second at 9.5% and WAYN at 8.4%). Bill made the point that while standalone Travel UGC accounts for only a small fraction of travel visits online (2%), its reach and impact is in fact much wider as people engage in user generated content on traditional travel websites.

3.The Travel 2.0 heavyweights are in the mainstream research to purchase mix

With a graph to die for, Bill combined the flow of clicks from travel site to travel site, with market share of those sites. From this network map, he isolated those sites that are driving traffic to the big OTAs such as Expedia, Orbitz and Travelocity.

And a few Travel 2.0 players are having a big impact - TripAdvisor and the metasearch site Kayak and Sidestep. Metasearch, sites that search for price across muliple agency and supplier sites, before sending the search off to another site to book, are faring particularly well in these price sensitive times. Two years ago they were only used by the highly tech savvy, whereas now they are entering the mainstream as people research more intensively for the best prices.

However, what Bill’s uber-graph also shows is that outside these heavyweights, the smaller Travel 2.0 sites (from WAYN to WikiTravel) are very insular, with little cross flow of traffic and are currently outside the mainstream travel research traffic flow.

4. The social networking sites are not impacting as a travel planning resource yet

Jupiter (same source as above) found that only 8% of those online travellers who are using social networking sites do so for travel planning. 56% do not use social networks in any capacity whatsoever that relates to travel. The most common travel related uses come in the form of communication, with 23% looking at friends travel photos or videos, 22% keeping in touch while away and 19% posting photos.

Diane contrasted the high level of trust that people have in stranger generated reviews, which comes from critical mass. People can sift many reviews looking for patterns and things that resonate with them. In contrast, social networks have much lower critical mass.

Hitwise’s data has not seen significant increases in traffic being referred to travel sites from social network sites - Bill suggested that where it is appearing, it is potentially being caused by people that use their social networking site as their homepage.

And different segments and demographic profiles of travel researchers behave in different ways. The 55+ age group are more likely to use newspapers and magazines to find a new travel site that they haven;t used before, whereas younger users are more likely to use meta search. Website visitors, like travellers, can never be thought of as a single homogeneous mass.

So, thanks again to Hitwise and Jupiter Research for a great webinar and for allowing us bloggers to share their findings with the wider industry. I hope I’ve communicated some of the potential power of their data with this short round up.

Industry interview with Tina Fitch of EzRez

As we recently explored in this Travel 2.0 post, many of the recent online innovations driving Travel 2.0 have been demand led and consumer facing. The “killer-app” for the supply side, the thing that will improve the lives, productivity and profitability of travel and tourism businesses has seemed more elusive.

But as I have stated before that I see massive opportunity on the supply side of Travel 2.0 in delivering:

1) Joined up visitor data at a destination level (who is visiting, where do they go, what do they do, how does the whole consumption process look across a destination)

2) Cross sector/cross destination reservation analytics (ie supercharged benchmarking, predictive analytics and responsive pricing based on what is happening in the whole market, not just at the door of one attraction, hotel or destination).

Given that I’m currently in Silicon Valley, I’ve been catching up with leading travel technologists who are working to drive supply side value from Travel 2.0 technologies in these specific areas.

It was a great pleasure to catch up with Tina Fitch co-founder and CEO of EzRez Software to kick around some ideas and enjoy some fine San Francisco cuisine.

Tina leads a company which venture capitalists claim “is disrupting the online travel market through its next generation, web-based solution.”

EzRez is in essence providing a travel market place, supplying transactional services to a network of tourism businesses, along with deep analytics across that network that allow clients to get an end to end view of a visitor’s transactional behaviour.

Its software solutions include a plug-and-play solution that enables a company to sell travel components online, plus they bring inventory providers and distributors together through a system that syncs with the existing infrastructures of both parties. They have also developed a powerful set of analysis tools that allow businesses to drive deeper understanding and metrics from their loyalty points and transactional/merchandising data - and these tools integrate with web analytics products such and Omniture and Google Analytics.

Tina and her team of developers, business data analysts and travel specialists see the value of what they can offer in terms of the power of viewing a visitors booking behaviour not simply in isolation, but across the multiple travel experience touchpoints - from booking flights and travel packages, to car hire and attractions.

Because regardless of what a visitor may say about their intent, travel plans or intended purchases or expenditure (if you can even get that information) - nothing gives a clearer picture of visitor activity than the associated purchase trail.

She has the tools, she has the transactional information - now as EzRez grows, particularly fuelled by success in the Latin American and Asian markets, Tina is demonstrating to the industry in true Travel 2.0 terms that joining up their visitor data will reap rewards for everyone.

Tina took the time to demonstrate why this is so important and what the challenges of joined up data have traditionally been for the travel industry:

Vicky: Do you think that so far the travel sector has been slow to embrace web analytics and online business intelligence, compared to say the e-commerce sectors?

Tina: We do feel it has been slow – but not for lack of interest or desire from the travel community, but due to the fragmentation and complexity of the systems that power travel.

We have observed companies who embrace the concept of web and transaction analytics, but have a difficult time weaving the two together. It involves the challenge of tying something like Omniture or Google Analytics to their reservation system, and potentially their CRM program. Many of these tools can play well together, but need technical expertise and analysis of each system to have them really hum.

Many technologies in travel developed originally as silos – some are large, like Sabre, some are extremely narrow, like a car hire company’s proprietary database – but regardless of size, they are limited by lack of a common interface, tracking tools, and definitions across the industry.

In any event, our experience in the market place is that nearly everyone is looking for an analytics solution to help drive their business forward. Understanding of not only one’s own business, but the local market, competitive set and overall network performance is critical to the success of any analytics program. Most importantly, data must lead to actionable steps to capitalize on the insight gained.

Vicky: Given that travel is a sector where many different businesses interact to deliver the visitor their end to end experience, do you think the industry has to start looking beyond its own “data island” in order to best understand visitor behaviour and boost ROI?

Tina: Travel companies are frustrated by lack of context to the data that they can collect on their own site – even if a company understands what their own conversion rates are, or what types of customer profiles are purchasing which destinations or inventory types, it can not see how that positions them in relation to the rest of their industry segment, geography or even online travel overall.

Travel companies can also have a difficult time understanding how their own customer interacts with other systems, products and services outside of their silo. This is because there are few common platforms that give visibility to performance across different verticals, different locations and product types.

Why is this important? Without measurement, there is no management of your business – and without context to more global measures of success, you are isolating yourself to limited benchmarks for performance.

Without understanding how your customer shops and books travel wherever they are, you can’t determine ways to get broader share of wallet from the customers who already shop with you. Industry-wide, or more granular sub-set analytics, will give you a lot more information that can feed into your pricing, merchandising, and marketing strategies.

While privacy will always be a consumer concern, those same consumers have come to expect that a system is intelligent enough to factor in their location, basic preferences and previous habits – even on a generic level – to deliver the most relevant results.

Vicky: Could you tell us a little about how EzRez has developed this cross-network approach?

Tina: We work with a whole range of companies - such as legacy airlines, global financial institutions and hotel chains as well as boutique resort operators, regional wholesalers and niche travel sites.

Our position as the booking, rules and transactional engine across these different verticals, markets and inventory sources allows our clients to leverage greater visibility across their own activity, but also allows them to understand how they are performing against the network as a whole.

This gives EzRez customers a new level of network transparency that enables them to see consumer and agent shopping and buying dynamics and trends more quickly. This, in turn, gives them the chance to have the right product in the right place at the right time – and at the right price. This can drive real revenue growth and customer satisfaction.

Vicky: Is EzRez only relevant to the global players or are you also targeting the smaller businesses that represent the bulk of the industry in terms of providers?

Tina: We tend to focus on companies that have an existing, captive audience since they can best leverage the range of tools and products that we offer. Large companies absolutely need business intelligence tools to learn how they can move the needle on their revenues.

However, smaller companies gain by understanding untapped potential in the market, and using data to make strategic and metrics-driven decisions on where to focus their emerging business. So, we are also relevant to local players trying to capitalize on market conditions while learning from similar companies in other markets.

Vicky: How do you think travel and tourism businesses can stop using data to “look back” and start using it to make forward looking tactical and strategic decisions?

Tina: This is the really exciting part about network analytics - when you can apply historical and current activity to predict or influence future behavior.

Imagine if you, as a travel company, knew that even though many competitors traditionally offer packages from London to Istanbul in the month of March, you have started seeing increasing patterns of search and booking activity from that origin market into Dubrovnik? What if you could further target the opportunity by understanding what the average spend is in that destination, what rating level is most popular for hotels, and then offer an automated merchandising tool to not only preference that offering to people who come to your site, but also send that package proactively to an audience from that origination point?

What if you are an airline, and you have a system that logs click-through and purchase behaviour on specific hotels in your hotel engine based on city pairs searched, or even which day of week or fare class air bookings are made. You could take that intelligence and offer a cross-sell tool in your air booking path that immediately offers up the most popular hotels for that user profile automatically and capture higher conversion and share of wallet from the same consumer.

This type of application of business intelligence not only drives more revenue to the companies who leverage it, it engenders more loyalty by way of convenience to the consumers who shop with them.

This type of business intelligence is actually already possible to obtain if you are on a platform like EzRez, and we are seeing more and more companies participate and benefit from that type of tribal knowledge.

To conclude

Predictive analytics used to be the holy grail for sectors like online retail and financial services. But tools evolved that started to allow online sellers to show first adverts then actual product offers/combinations based on likely best performance, all driven by the analytics data. Companies like Amazon have massively increased upsell by investment in their recommendation engines - essentially by pioneering predictive analytics.

What is exciting, in my view, is to see this emerging in travel in the way that EzRez are driving it - which is across a network of travel and tourism businesses operating in different touch points of the same visitors experience. Analytics is therefore not occurring in isolation (never ideal for an industry where the purchase and consumption process is as fragmented and complex as travel).

As Tina describes it, network analytics means participation in and benefit from a type of tribal knowledge. Sounds a lot like supply side Travel 2.0 to me!

Calling all Scottish tourism providers - we’re after your views for the 2008 Scottish e-Tourism Survey.

The survey looks at how tourism providers in Scotland are using technology and what their pain points are. The size or shape of the business doesn’t matter - we’re as interested in receiving replies from DMOs and event organizers as we are from camping sites or guides. All we ask is that you do business in Scotland and you are a tourism provider in some way - I’m afraid some public sector bodies will have to sit this one out!

When we conducted a similar survey a few years ago, we were able to discover small pockets of innovation while a lack of awareness was evident in other areas. We’re hoping that we might find a few new surprises this time round as well as some pointers to how the market is preparing for the challenges and where it might be lacking.

Let me know what you think by taking the survey. It should take about 5 minutes and, upon completion, you can register to receive a summary report when it is published as well as being entered into the draw for our Data Detective Kit.

Why data privacy should matter to us all

I love data. Yup, sets, charts, trends and ratios rock my world. And as you probably know, many of the posts in this blog are about collecting and using customer data to drive your business forward.

So does that mean I’m advocating a business should collect and store every bit of personal data about its customers that it possibly can?

Do I share Google’s vision of storing 100% of user (ie your) data?

Not at all. I believe that when we ask for personal data from a customer, we must understand that we are being trusted with something precious and that we have a responsibility to limit what we take and how we use it to within boundaries that are acceptable to both parties.

Here’s my exploration of why.

Data is power

For a business, customer data is knowledge and knowledge, as the saying goes, is power.

The power to make strategic decisions, power to delight customers by understanding and surpassing their needs, the power to boost conversions and the power to make our marketing work just that little bit harder than our competitors.

Businesses don’t generally collect data because they’re evil, they collect it because they want to do what they do better (including, of course, making money).

But data can be stored. Data can be lost, stolen or exposed. Data can be used in innocence or corruptly for purposes very different from those imagined when it was collected.

The data in its own right is benign. But start aggregating it, storing it, analysing it - then suddenly its power is explosive.

Have you met my data shadow?

Like you, everywhere I go as I conduct my life on and offline, I leave a data shadow. Not only does that data shadow mirror my actions, but to some extent it also mirrors a distorted approximation of my thoughts.

(Anyone unsure how your data shadow might reveal what you are thinking should check out this article about the AOL data release, when AOL made public the web searches made by 658,000 of its users over a three month period.)

And my data shadow is being stored.

Maybe its only being stored to speed up my online shopping cart process, so that I am more likely to buy. Perhaps it is stored to record my travel history, while I earn airlines or reward points. But may be its being stored for some unspecified purpose that will be decided at a later date. (Check out for this rather scary Guardian newspaper article about Facebook as a good example).

But, if I have nothing to hide, does it even matter?

I believe it does matter very much.

Yes, on a basic level, I simply don’t want strangers knowing everything about me. But at a more philosophical level, I believe am more than the sum parts of my data shadow. The trouble is, what is being stored for future retrival doesn’t reflect that. In 10 years time I will not exist as I do at this moment - but my data shadow from today will.

And it will exist in a very different context (and perhaps political climate) to when the data was collected.

“There is a view that the storage of personal data is only problematic for those with something to hide. But we cannot know for sure how data we supply today will be used tomorrow - goalposts shift, governments change - and not all are benign. When in 1933 the population of Germany provided their personal data for census purposes, they could have had no knowledge of ultimate consequences.” From An Uncertain Voyage, A British Computing Society article by Barry Blundell.

The trouble with context is it can change

What if the supermarket loyalty card data which you have readily handed over in exchange for points was used to prove you drank too much wine over the last 15 years, thereby denying you access to healthcare?

What if your airmiles & Tripadvisor data was used to calculate your share of responsibility for global warming and you were fined accordingly?

What if of your barely known Facebook “friends” commits an act of terrorism and every shred of your personal communication data becomes evidence? (After all, Facebook even has your mobile phone number).

These may seem far-fetched examples, but they all relate to data we readily hand over and cannot simply retrieve if we change our minds.

Taking responsibility

As consumers, I think we have to think a little harder before we hand over our personal data.

And as businesses (especially us data-huggers) I think we have to remember ask ourselves not just if we want this personal information, but also if we really need it. Because ultimately, we should not demand or solicit from our customers any data we would be reluctant to hand over ourselves. And we should respect and protect customer data as though it were our own.

(A document Google inadvertently released on the Web in March 2006 said it was moving toward being able to “store 100% of user data,” citing “emails, Web history, pictures, bookmarks” as a few examples). See this interesting Wall Street Journal article for more on the subject of Google Plans Service to Store Users’ Data