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!