First Published, 29th February 2016
Ai Editorial: Rather than delivering ads indiscriminately, with programmatic there’s always a reason that a specific person is seeing a certain ad, writes Ai’s Ritesh Gupta
The world of programmatic advertising moves at a breakneck pace. In this automated process of buying and selling of digital media through software, delivery of ads happens in a flash.
There are a couple of facets that make the whole process interesting.
First is ascertaining my intent and the phase I am in as far as a trip is concerned. So when to present with an option for core flight product or an ancillary offering is one critical question. The second one is to ensure the matrix of device being used, ad format and channel is spot on. So in the moment of opportunity, say I am at the airport contemplating an upgrade, what would it take to reach out to me via an ad?
The best part is programmatic ads can fluidly target a potential traveller in any scenario.
The process features a multi-stage request involving data lookup, bidding, auction and ad serving. And all of this takes place in a split-second.
Akin to stock market
Programmatic advertising is like the stock market in that it serves as a marketplace for ad inventory to be bought and sold at scale without a direct relationship in place between buyer and seller. Large Ad Exchanges, which make up the inventory sources of programmatic media trading, act as a central platform to enable this new way of buying and selling ad inventory (campaigns need not be bought via ad exchanges to be considered programmatic, any automated buying mechanism is referred as programmatic).
But it doesn’t stop there.
Thanks to big data and the ability of specialists like travel-specific performance marketing engine Sojern and others, not only one can buy inventory at scale centrally, but travel brands can use data and business rules to buy specific impressions targeted at defined audiences.
It brings marketers much closer to the concept of 1-to-1 marketing at scale, says San Francisco-based Brad King, VP Global Sales, Sojern. Yes it allows to connect at scale with a specific group of consumers or audiences via digital media, and without a lot of buying friction, but it’s not easy. King says you need to make sure you’ve got all the pieces necessary for success (e.g. travel intent data), and that you’re optimizing those pieces, (e.g., displaying relevant ads at the right time in their path to purchase).
What are airlines missing out on?
The promise of programmatic advertising is luring.
As King says, rather than delivering ads indiscriminately, with programmatic you can be sure there’s always a reason that a specific person is seeing a certain ad. For instance, they searched for flights to the Caribbean, so they’re delivered ads for Caribbean hotels.
King adds, “Buying media programmatically is not the hard part, but buying it at the right price and optimizing it efficiently is where most novice ad buyers fail. For example, you wouldn’t want to display an ad for a Caribbean hotel when the person has been searching for flights to Seattle.” But despite its strengths, airlines haven’t really capitalized on it. “I do think a major miss presently is the reluctance of airlines to use this new tech as a way of boosting their ancillary revenue.” He added that very few airlines are using programmatic ad buying to boost profits via ancillary revenue generation. “Every airline out there that receives direct bookings to their site could use the purchase data they have to serve very targeted ads to their customers enticing them to upgrade their flight, prepay baggage fees, buy club passes, buy mileage accelerators, etc., but they often don’t rely on programmatic to optimize the sales of these products.”
Planning it right
King recommend that a travel advertiser needs to have a clear plan around parameters such as website visits, direct bookings, amount of ancillary sales etc. “In short, set KPIs but be willing to adjust and adapt based on the returns you’re seeing,” he said. At the same, he also suggested that one needs to persevere. “Succeeding in programmatic is a long-term game that requires ever-improving knowledge, skill sets, technology, and rigor. Successful campaigns often take time to set up and optimize.”
King says thanks to advances in media buying platforms and big data practices, marketers are able to use indicators, such as past intent, demographic profile, website visits, to help them purchase the most effective ad space. More than ever, buyers are able to purchase ads and place them in front of very specific audiences at key points in their path to purchase.
Among airlines, Monarch Airlines last year chose to count on programmatic buying to drive direct flight bookings. Sojern targeted, by way of data it receives from many travel specific data providers that allows the team to use their data for powering other airline campaigns, consumers that are in-market or have shown intent for flights that overlapped with Monarch routes. Because this audience was a known entity, and because one was fully aware of the routes they were shopping, it was possible to add very specific and relevant ad copy.
As a result, the team “impressed”over 2.9 million unique visitors with Monarch’s ad. In one month, ads served by Sojern drove over 64,000 flight searches to Monarch.
Programmatic has many buying models. Decrease in a campaign’s cost per acquisition is a major benefit of buying campaigns programmatically.
Common models, according to King, are:
· Cost per Impressions (CPM) - paying per ad impression, quoted in blocks of 1,000 impressions.
· Cost per Click (CPC) - paying on the basis of a click.
· Cost per Action (CPA) - actions can be different based on the industry, but in travel, actions almost always mean bookings, whether it’s an airline ticket, hotel reservation, or car rental.
· Commission or Revenue Share - a percentage of the revenue or profit that’s attributed to the performance of an advertising campaign.
· ‘Cost plus’ - a business model that makes inventory costs, data costs, and ad serving fees transparent to the marketer and adds a service fee mark-up to the ‘cost of goods sold’.
“From our point of view, there’s no single model that can meet everyone’s needs,” says King.
The main thing to consider when choosing a business model is clearly knowing your objectives, as well as knowing where the risk lies. CPM and CPC, for example, tend to put the risk on the advertiser (e.g., you buy ads without the explicit promise of performance), while the CPA or Commission business models put the much of the risk on the ad vendor (e.g., they don’t get paid if the campaign does not drive bookings).
At the same time, travel advertisers also need to dig deep and learn about click fraud, impression fraud etc. Additionally, in case of mobile devices, there are certain ad formats that hamper the user experience, and can leave a bad impression. For instance, one needs to avoid intruding ads that need a user to click in order to close it and remove it from the screen.
Interested in knowing what's next in the digital revolution for ancillaries? Hear from senior travel industry experts at the 10th Ancillary Merchandising Conference, scheduled to take place in Barcelona 21-22 April, 2016
Follow Ai on Twitter: @Ai_Connects_Us
First Published, 23rd February 2016
STOP PRESS: Hear industry experts about how airlines, OTAs and other travel companies can deliver a top-notch “Amazon-like” experience at the 10th Ancillary Merchandising Conference, scheduled to take place in Barcelona 21-22 April, 2016
Ai Editorial: It is worth assessing how Google is evaluating data about users, and also shaping up its product, especially for mobile, for a bigger say in travel booking path, writes Ai’s Ritesh Gupta
Mobile devices are now an integral part of us – they are our personal assistants, a source of entertainment, an ally that delivers information, and let us interact with others …we just can’t do without search, mobile sites and mobile apps.
Of course, we plan and book our trips, too. But travel is just one component of our mobile activity, and it isn’t as frequent as some of other activities.
So the point here is if I am being identified for what I all do on my mobile (for that matter even my PC, tablets etc.) - my behavior, my preferences, my location etc., can all of it be stitched together to help me in my next travel trip?
Can Google do it better than anyone else?
If yes, then Google is set to gain a lot.
Whenever I indulge in something or as Google says, micro-moments are being crafted. Then if my intent is understood in real-time Google would probably make me click on ad, click on a deep link to view a page within an app that describes a product offering etc.
But it’s not that easy.
Google recently assessed the complete Internet behavior, and in two months study found there could be 40000 digital moments (searching, watching video, visiting a website etc.) and 87% of moments were happening on mobile. And the attempt is to be relevant when any travel query is being searched for.
Data prowess + search
Google has advantages through services like Google Now, which can identify travel search moments and patterns of travel behavior, and build recommendations for products and services based on this insight.
It is worth assessing how Google is evaluating data about users, and also shaping up search algorithms to make the whole search relevant in real-time.
“Google can stitch unstructured behavioral data like social posts or searches together, providing context and determining intent. This data helps shape the audiences for its advertising network, ultimately enabling Google to only serve up the most relevant ads. While Google does not sell travel services directly to these audiences, it uses its insights to power its interactive marketing business,” says Boxever’s VP – Sales, Ultan O Brien.
O Brien explained that Google defined the customer journey to online purchase through Google Travel and broke it down into steps, channels and then ultimately micromoments. Identifying when someone is having one of these digital micro-moments means the potential to engage with them at the contextually right time with a relevant offer. He says, “As mobility continues to grow across devices and applications, these moments grow in importance when looking for the right time to engage individuals.”
Areas of improvements
Google is moving forward on several counts:
· Making search more meaningful - The span of “moments” or sessions on mobile is decreasing, so the purchase path is riddled with multitude of clues that are being left by a user. So say on a couple of occasions, I have searched for Maldives as a tourist destination. On another session, I am shopping for a passport cover. I am offered a chance to book a ticket to Maldives, I might be interested. This is where Google is also promising to do a lot of elegant work – apt blend of content presentation and page design. A user is going to be shown “bookable” prices, imagery, videos, text (related to weather, ratings etc.) in a way it helps in arriving at a decision. Google is promising to do all this with accuracy, and speed of a sub-second (say for comparing destinations in Asia for the same set of dates). Also, Google is coming up with its “Plan a Trip” feature – shows a price graph featuring available flights and hotels prices pre-computed in “lightening speed”. The core offering of comparing what is available at what price and for which destinations and dates is being improved.
· Cutting down on that one extra click: It needs to be highlighted that Google is also looking at cutting down on the possibility of an additional click. For example, if on Google Flights one is searching for flights, Google is also showing train connections in order to save on extra query. Also, within the “tips” feature, Google works in the background on running pro-active searches around checking dates, alternative airports and possibility of cheaper available upgrades to be more meaningful to the user.
· Conversion: From conversion perspective, Google is looking at being in control. As for the “Book on Google” functionality, the plan is ensure the conversion rate is sustained. The objective is to keep the user in the Google’s environment, rather directing to a 3rd party site. If a user is on a search product, say flights, and chooses an option then the user is going to reach a page hosted by Google, so that’s in the Google domain and it would be partner branded. So the impression one would get is, say, buy a travel product from the airline itself. Google believes being in its environment, logged into its account means the user is already comfortably placed. Behind the scenes, Google is passing on user information and credit card information via APIs directly to the partner. It’s the partner that takes the booking, sends confirmation email and manages the process thereafter.
Lufthansa was the first legacy carrier to which Google Flights offered its direct booking function. The two companies introduced the function ‘Book on Google’ for users in the U. S. in late 2015.
Impact on the rest of the industry
As for the concerns about the way Google paves way for leads through its products, travel advertisers have reportedly raised valid issues. How much of the search results that are being shown are “fair” and to what extent the same are being “controlled or influenced” by Google AdWords or Google Hotel Ads?
Google has maintained that this is not the case.
But one can’t deny intermediaries are being challenged more than ever.
Google is now making the most of available data about us (when we use its services), banking on analytics and blending it with Google’s search algorithm.
“Google’s integration of flight search is a having a large impact on meta-search. People seem to search for everything on Google, why not flights? By enabling organic flight search, they are attempting to displace travel aggregators like Skyscanner and Kayak. The same may happen for hotel and car rental sites, ultimately creating the go-to travel marketplace via organic search on google.com,” says Brien.
Suppliers like airlines spend money on building their platforms – mobile, PC website, apps etc.
If a player garners massive traffic, and also facilitates a booking within its own environment, then it’s going to make it tough for suppliers to make the most of their site.
O Brien says this would result in an end-to-end travel planning and purchasing experience.
He says one example is Google and Facebook combining the “Buy Now” button within their own frameworks—being able to make these purchases right through an organic search engine is a potentially a huge “distruptor” to how people search, plan and purchase travel products.
“Airlines are at risk of being positioned as “just logistics providers”,” says O Brien.
“Google’s speed makes it a formidable force: the intent of a searcher can be identified and alternative options can be provided much quicker than any airlines’ site can. Airlines need to find ways to provide more value-added services when searching, and reasons for travelers to book with them. Otherwise, they risk losing out to Google and open the $48b ancillary market to their advertising community in a much more immersive way,” stated O Brien.
To truly compete with both OTAs and the likes of Google, they need to consider the full view of traveller behavior and connect it to context.
It needs to be noted that are a number of providers trying to disrupt the travel search process by making shopping (search activities in particular) more natural and convenient, connecting across a variety of devices. Examples include Facebook M, Google Now, Lola, Amazon Echo, Amazon Alexa and more.
The multi-device focus requires creating a travel-planning workspace linked to your online identity that is available across multiple devices.
Hear industry experts about how airlines, OTAs and other travel companies can deliver a top-notch “Amazon-like” experience at the 10th Ancillary Merchandising Conference, scheduled to take place in Barcelona 21-22 April, 2016
Follow Ai on Twitter: @Ai_Connects_Us
IdeaWorksCompany, Editorial Comment from Jay Sorensen, President
First Published, 16th February 2016
It’s 2016 and I’m on the lookout for examples of Airline Revenue Innovation Champs. At first glance, the new product announced by SpiceJet provides a compelling first candidate for 2016. But it misses the mark because of too much fine print and ultimately represents a poor value for consumers.
SpiceJet’s “Fly For Sure” offers a guaranteed travel option that pays out in the event the airline cancels a flight or delays it by more than 90 minutes, or if the traveler misses a flight by no more than 30 minutes. For a modest INR299 ($4.40) fee, the airline claims consumers can buy extra peace of mind. Travelers can identify and book their own alternative flight solutions in the event of a delay.
At a minimum, SpiceJet says it will refund travelers the price of their ticket. Or they can buy a ticket (on any airline) and request reimbursement for up to twice the original ticket price. Fly For Sure has been added to the booking path to provide maximum consumer exposure.
However, the idea begins to fall flat when the terms and conditions are reviewed. First, the guarantee exempts “force majeure” events beyond the control of the airline, which is defined to include weather, strikes, air traffic control delays, mechanicals, and even something benignly called “commotion.” So what does qualify as a covered delay? Second, instead of making an automatic minimum payout – perhaps in the form of a travel voucher – the consumer must file a long list of documents within seven days of completing subsequent travel.
What perhaps began as a good idea in SpiceJet’s marketing department morphed into something corrupted by the carrier’s legal department. Instead, the airline should have prevented the addition of all the fine print, performed an actuarial assessment of the risk, and simply charged a higher price for the product. That would’ve earned SpiceJet kudos for creating an inspired bit of ancillary revenue innovation. Instead, the airline created a non-transparent product that gives a la carte options a black eye among consumers and government regulators.
Jay Sorensen, President of IdeaWorksCompany and author of this editorial, will be a featured speaker at Airline Information's Ancillary Merchandising Conference being held in Barcelona, Spain on the 21st and 22nd of April 2016.
Ai Editorial: How a group of Amadeus’ stature is looking at NDC-XML oriented standard? Ai’s Ritesh Gupta finds out
First Published 6th February 2016
The quest of being in control of what is being offered has meant that airlines are continuously refining their distribution and IT-related aspects. If on one hand, the industry is finding ways to cope up with technology that is inflexible on the other there is talk of adopting a retailing approach that maximizes value for both the airline and the traveller. Amidst all this, it is interesting to assess the role of a GDS.
Are GDS solutions compatible with what the industry is working at? Would the commercial dealing between carriers and GDSs change as there can be provision for additional content? It could be argued that a PSS vendor who is also a distributor has a conflict of interest when it comes to enabling more direct distribution, thereby putting distribution revenue (GDS segment fees) at risk. So how to balance out this conundrum?
Here we assess the current state of affairs, and look at some of the issues from a GDS perspective:
“Airlines always have control of their offer. They decide what, when and at what price they sell. NDC as an XML messaging protocol, can help airlines transmit rich content more easily, but ultimately, it is the travel agency that decides what is displayed based on the consumer’s needs,” says Gianni Pisanello, Strategic Marketing Director, Airline Distribution, Amadeus.
Pisanello says with NDC-XML, and any other messaging protocol, airlines control the content they send to travel agencies. “Travel agencies on their side optimise the information they display—be it airline information or hotel information—to maximise sales. This benefits both the airline and the travel agency,” says Pisanello. “In that sense, travel agencies play an important role in selecting what information travellers see at which time, leveraging their retail expertise to maximise sales for the airlines. For example, a travel agent may notice that if a certain picture is shown at a later stage of the buying process, rather than at the outset, sales improve. Or they may see that certain types of pictures work better than others, and as a result they will focus on the former to increase conversions.”
“In the short term, airlines can already benefit from merchandising capabilities through the existing infrastructure. NDC-XML allows for a lot of flexibility, and this is one of its strengths. In order to deliver the economies of scale that everyone seeks and needs, the industry will need to continue to work closely together to find a balance between that flexibility and effective standardization as NDC-XML gets deployed,” says Pisanello.
“In the first three quarters of 2015, we saw an 85% increase in the amount of ancillaries being sold via travel agencies. When we look at our data, we see cases in which 15 out of every 100 air bookings by OTAs include an ancillary sale, and that figure rises to 30 or 40 for certain carriers and agencies,” Pisanello says.
In addition, there are three times more OTAs with integrated airline ancillaries in 2015 compared to 2014.
Talking of OTAs, these intermediaries offer comparative shopping options on multiple airlines, with focus on letting one compare all flights and associated options and services in full transparency. Pisanello refers to ewo examples:
NDC-XML is in the early phases of its development, stated Pisanello.
He explained: “Work has to be done to make sure that standardization is reached. The industry should not be disheartened however: evolution in technology, in processes, and in behavior takes time and requires a lot of collaboration, and this is normal in large scale projects. The players in the travel industry will have to work together to try many different things, to experiment with different tools, and together we will converge to a formula that delivers value to all participants, especially to the traveller.”
Commenting on this, Pisanello pointed out that NDC-XML being just a messaging protocol, “the high level dynamics will remain the same”.
“As the industry works together and creates new services and features, opportunities for all parties should arise,” he added.
Avoiding different versions of XML: It is being pointed out that GDSs have integrated airline content using proprietary airline API interfaces for several years and airlines have in fact been employing the principles of NDC, such as dynamic pricing control. However, this is not scalable as each airline’s proprietary API requires custom development. NDC will standardise this approach for airlines wishing to adopt NDC and benefit from GDS distribution.
Pisanello clarified and explained: “Dynamic pricing does not depend on API interfaces. Airlines apply dynamic pricing through their own websites and the GDS all the time. However, proprietary APIs are not always scalable for widespread adoption. NDC-XML will help increase this scalability through a level of standardisation. The industry will need to further standardize the data elements and the booking flows to benefit from full economies of scale.” Explaining further, he said let’s focus on the booking flow. Let’s take the example of selling an additional bag. Two airlines may have different ways of selling that extra bag. One airline might include the sale of that extra bag at the same time as the sale of the flight, allowing for both to be purchased at the same time. A different airline might only offer the sale of an extra bag once the flight has already been purchased. Although the outcome is the same, the purchasing flow is different. This kind of difference means each airline will send a different sequence of XML messages, requiring custom integration for each airline. This in turn limits the level of adoption that the industry can deliver. “NDC-XML provides a strong first level of standardization where XML is used, and avoids many inefficiencies that different versions of XML can create. Based on this foundation, the industry will naturally and in practice further standardize how NDC-XML is applied in order to facilitate the widest adoption. This will involve a process of trial and error.
The industry is looking at a single, standardized set of XML messages that can feed all channels. As Gianni says, proprietary APIs are not always scalable for widespread adoption. NDC-XML will help increase this scalability through a level of standardisation.
So is the industry collectively moving towards working out right API strategy that is PSS, channel, and device-agnostic?
“Over time the industry should converge to NDC-XML when XML is used, as this will enable the widest adoption. Some airlines may opt for different approaches depending on their business strategy,” concluded Pisanello.
First Published 6th February 2016
Can there be one single system that will transform flight shopping?
The travel industry is reinventing flight shopping, and that’s a major data, technology and user experience challenge. Ai’s Ritesh Gupta interviews Routehappy’s CEO Robert Albert about flight shopping
You are searching for a flight, and there are amenities that you are specific looking for, say Wi-Fi. You also intend to make comparison of in-seat in-flight entertainment. You have also heard about the possibility of a virtual tour of the aircraft. How easily can you do all this? Airlines, OTAs and meta-search engines are trying to find ways to facilitate all this and more in our flight search. There are ample signs that we are now moving beyond price differentiation, which by its very definition is a commoditized way of comparing flights.
If we talk of airlines, there are certain aspects that need to be taken care of. For instance, a consistent fleet type can only strengthen their brand positioning as there would be uniformity in amenities offered.
As an established OTA, Expedia is focused on ensuring its visitors know what exactly is included in certain flight prices at the time of purchase, and allowing them to opt for a ticket with the specific attributes and on-board services. Exploring premium seating options via the online seat map is an example.
Then there are other bigwigs like Google collaborating with airlines to pave way for a real insight into what an aircraft looks like. For example, one can count on the blend of Google Maps and search to check “Virgin America, LAX” for virtual tour of its aircraft.
Level of differentiation
The term differentiation gets tossed around a lot in the travel sector. So how are various entities going about flight search?
“Differentiation is the theme in flight shopping. Airlines have differentiated their products comprehensively, including fare types, hard product, and services. Flight shopping channels (direct and indirect) are catching up to display the differentiators,” says Robert Albert, CEO, Routehappy, a company that helps airlines to deliver their product attributes wherever flights are sold. The company has been in news for signing a spate of agreements this year, latest being the one with Kayak.
So is there any barometer for product differentiation?
Albert says airlines are at something like “5-15% of their differentiation potential in their own channels” overall, and closer to “0-5% in indirect channels”.
He referred to Delta, Air Berlin and Lufthansa as worthy examples of major airline direct channels that are increasingly differentiating products in their own channels. “Expedia, Google and Travelport are leading the pack in indirect at the moment, with everyone else (GDS, OTA, meta, OBT) working on their differentiation strategies. Fare and product attributes need to be presented in a way that is easy to understand, digest, compare and personalize. Our industry is reinventing flight shopping, and that’s a major data, technology and UX (user experience) challenge,” explained Albert.
Knowing about amenities that I am looking for
Keeping aside standard amenities or something can be chosen from options on a site, there is a possibility that one would want to know about certain aspect of a flight. Let’s say, I am fond of chocolate mousse and tennis. I am flying from London to New York and if I were to search for “chocolate mousse tennis London New York flight” – how quickly one would be able to find relevant info on an airline.com site?
Albert says the first question to ask is when you can consistently search for the basics: flights with Wi-Fi, power ports, seatback entertainment, fresh food, lie flat seats, specific aircraft, baggage, upgradeability, lounge access, etc. He says it’s a combination of providing better information when consumers are searching for flights in general, but also helping airlines and consumers understand product attributes in up-sell offerings.
“Once we achieve that, then airlines and distributors can focus on more nuanced personalization like what kind of food or entertainment offerings are available. As an industry, we need to build our new foundation first. The next few years will be focused on basics of a richer shopping experience. After that you might be able to find flights that serve chocolate mousse and show tennis matches on the seatback,” shared Albert.
Continuing with the above example, when I searched for “chocolate mousse tennis London New York flight” on Google UK, there was an old media review of Thomson’s Dreamliner long-haul flight from the UK and featured a comment about chocolate mousse too. It was ranked eighth, but was closest to relevancy. So would search engines/ meta-search sites be the best options?
“We believe the industry needs a standard, trusted, fair, and transparent scoring system based on facts first, which can then be personalized,” said Albert. His team built the Routehappy Scores & Amenities API to accomplish this goal — a baseline scoring system by flight and cabin that rates the most important aspects of the experience: aircraft, seat, amenities, and duration compared to the fastest option on any route. Once airlines and consumers no longer have to wade through 100s of flight options and instead can focus on the best options for their trip, airlines and distributors can then provide more information to help flyers pick the best possible product for themselves.
Avoid being generic, inconsistent
It is important to assess whether airlines are overlooking mistakes they are committing when it comes to overshadowing their own product attributes on their brand websites. Albert says it needs to be understood that this is a very hard problem to solve. “…so I commend all airlines that are enriching the flight shopping experience with differentiation content. Everyone needs to learn what works best for their own website, customer base, airline products, etc.” He added, “Having said that, the major issues I see on airline websites is overly generic or inconsistent presentation of product attributes. By generic, I mean information is presented in too general of a way to be truly useful to a consumer’s decision process or it’s not presented in the decision flow. By inconsistent, I mean information is presented inconsistently so it doesn’t reinforce usefulness, importance, comparability, or accuracy of the product attributes.”
Data + content + tools
Airlines need to capitalize on data, and content, and make use of tools to stand out with a differentiated offering.
“We built Routehappy Hub to help airlines and distributors do exactly this — a standard platform for airlines to create, manage and deliver their rich product attribute content in any channel they sell or display flights. At the core is our rich content standard, UPA (Universal Product Attribute),” said Albert. This standard combines descriptive and visual content targeted by aircraft, cabin, flight, airport, fare, segment, channel and other criteria, for display in any channel. “Think UPC or SKU but for air travel. We currently have a dozen major airlines creating their UPAs in Routehappy Hub and sharing it for previews, testing and live pilots with major OTAs, metas, GDSs and their own channels,” shared Albert.
So how to innovate flight shopping with differentiated, personalized content?
Solving this very large problem requires three things:
Airlines are creating their standard UPA content and sharing it with major distributors and tech platforms for integration.
A cohesive approach is needed from the industry to pave way for differentiation.
As Albert mentioned, common platforms and standards are critical for the industry to de-commoditize.
He also stated that organizations like Farelogix, Sojern, Adara, Travelport, Amadeus, Sabre, ATPCO, IATA etc. are all addressing different aspects of the differentiation merchandising opportunity, each with a healthy respect for common platform and standards.
As a rich product attribute content platform, Routehappy Hub is for delivery in any device or touch point.
“Our platform can easily be integrated with other platforms that are responsible for other aspects of merchandising innovation — such as revenue management systems and dynamic merchandising offers. That means that amenity and product data can be integrated into other tools airlines use to inform prices and offers — and then that same product information can be integrated for display to consumers. Each platform needs to do what it does best. There’s no single system that will transform flight shopping itself. It’s a cooperative, worldwide business and technology undertaking,” he says.
Finding the best ways to integrate differentiation content will be a theme in flight shopping for years to come.
Airlines, distributors, and technology partners need to come together to adopt common platforms and standards to make airline merchandising as good as it is in other industries — and it’s happening.
In-flight analytics - can I have my favorite chocolate mousse on-board?
This case study is about overcoming the disconnect between what travellers expect and the effort behind data, analytics and personalisation. Ai’s Ritesh Gupta explores the same with his recent flying experience
I love chocolate mousse. In the recent years, as an economy class passenger, when I have travelled to the U. S, be it for via Air France KLM or British Airways, I have had mousse as part of the in-flight meal. Taking two or even three back-to-back flights over a period of 24-30 hours is no fun. But whenever I had mousse it did refresh me, helping me remaining afloat for few hours at least. The hiccup here is that I am not too sure on which sector I would be served my favourite dessert.
And the worst part– the airline crew having it and not knowing I want it.
Moment of magic @ in-flight: I recently flew four long-haul flights in one trip via British Airways.
Outward: New Delhi to London to Fort Worth.
Inward: San Diego to London to New Delhi.
The chocolate mousse was served as part of my in-flight meal on the following sectors: London To Forth Worth and London to New Delhi sectors. The brand was same. On my last flight, I asked the air-hostess about the brand of the particular chocolate mousse. She didn’t know it, but she served me one more. It delighted me no end.
One way to feel happy when you are flying two back-to-back nine-hour flights.
So before we hear from experts about what can pave way for this not just being a co-incidence, let me share relevant details:
Trip planning, booking and journey
Booking was done by my company, Ai, via BA website. As for indications that I wanted chocolate mousse, I searched for all the sectors on Google and typed “Chocolate Mousse on BA flights”. This was done via my PC at home and my iPhone. This was done over a period of 2 weeks before my first flight. Other touch-points: I used web check-in for all flights via my PC at home and laptop while on the road, and I also reserved my seat (aisle). I also accessed my in-flight email (Gmail), scanned check-in image via my iPhone for all the trips.
Profile: I am a laid-back traveller, and I don’t think of accruing points/ miles for any loyalty program. As for BA, I travelled after eight years (email id was same).
Points to consider:
The context may be derived from external factors - such as looking for sunny destinations in Spain when it’s raining in Dublin, or internal factors - such as searching is generally done on a large screen when time to concentrate is available but firm decisions are made concrete with family members in the evening in a casual manner perhaps sitting on a couch with a mobile tablet device!
These are all things that can be correlated from analytics and understanding the internal and external factors that drive behaviour makes irrational behaviour predictable.
Rachel Besant, marketing manager, 15below (the company focuses on data sources which the airline subscribes to - i.e. the FFP, reservations systems, other third party providers including merchandising etc.) says if BA has a system which logs the food options available on their flights, then it is possible to integrate with this data source (whichever system - third party or internal solution the airline chooses) and offer/ pre-order chocolate mousse, should BA intend to offer this service. Airlines will be asking if this is a significant enough differentiator for the additional logistical complexity this adds.
How would it work?
15below, for example as a notifications and workflow provider, could directly hook into this data source and proactively send notification to traveller with option to pre-order their meal. They would then record this action back into the PNR (and other system such as CRM, depending on how BA want this to work). The tailored workflows would continue to record and extract traveller preferences in order to send very targeted, personalised and timely offers.
The actual decision to charge or to provide as complimentary should be based on a couple of items bubbling up from the analytics - loyalty status and potential lifetime value to the brand, what’s your recency frequency metric, your average order value, your service recovery score (have the airline messed up with you previously – e. g lost bag, cancelled flight, spilt coffee) , and your social influence score (how likely you are to tweet (or write an article) about the experience?
“So the analytics should be able to predict you want a mousse on the next flight - the decision or option to charge you based on your profile - inform the flight attendant that you are important to the brand and not to charge you for the pleasure,” shared O Brien.
Another executive told me: Realistically it probably wouldn’t be feasible to do any of this without pre-booking your meal (beyond just selecting ‘VGML’, for example). In-flight staff don’t have the ability to record what meal you selected, the source mentioned.
There are airlines that allow one to add chocolates / champagne for any wedding couples on their honeymoon as a pre-order component, to get a fillet steak in economy on transatlantic flights. Also, as per the feedback that I gathered, say if you’re sitting in economy but you’d like a First Class meal, you can now order this (at a cost). A specialist then arranges all the logistics and supply of these meals ready for the flight take-off. This is just one way for airlines to offer a more personalised service whilst making some additional revenues.
The key restriction right now is:
The future of in-flight analytics should be able to offer you the rest of the movie you watched (and didn’t finish) on the last flight - recommendations of movies based on what I have watched - this could be applied to food, drink, duty free products, gifts and home delivery products.
This is the same outside the cabin - offer me a specific coffee as I am entering the airport to have it available in lounge - (Air NZ are already doing this with a Barista type service), baggage location, transfers if I like it with an understanding of my destination (such as office or home locations).
As O Brien says, analytics will re-define the shopping and travel experience over the coming years and make it frictionless to offer and consume preferred products.
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Dealing with schemas to give shape to IATA’s NDC initiative
Ai Editorial: Standard development is the core to the entire NDC initiative. Ritesh Gupta assesses how changes continue to take place in “end-to-end” schemas to combat issues
Is the concept of ticketing on its way out? As we move into the era of XML based concept of travelling, it looks like the industry is drifting away from ticketing and associated “multiple coupons”.
So how are changes in coding or schemas set to drive it?
This fascinating aspect lured me into finding out how executives representing different entities, including ones from airlines, are currently working on it. Working out a new technology communication standard for the distribution of air travel is riddled with challenges.
The first version of “end-to-end” schemas has already been published, but the work is being done on an ongoing basis.
Changing a schema
Issues are being discussed on an ongoing basis by a relevant IATA working group related to the management of schemas. For instance, one of the recent ones was related to a business rule document titled “Interline Flight Shopping and Order Management”.
Before we delve deeper into the details, it needs to be understood that the NDC Shopping schemas would allow airlines to distribute their full product offers and to merchandize their seats, baggage etc. And the NDC Order Management schemas are responsible for managing NDC-driven orders, from booking to fulfilment. As for the offers, they can be crafted as per the current status of a supplier’s inventory, instead of those based upon previously filed products (i.e. dynamic and personalized offers become possible). It also paves way for airlines to directly manage other aspects of the indirect distribution process.
As for the concerned group, the business and technical requirements are being met by the Distribution Data Exchange Working Group (DDXWG). It has been set up by the Passenger Distribution Group (PDG).
The main objective of this group is to document detailed business requirements and develop implementation guidance for data exchange standards in the area of airline distribution, and maintain such documentation on an on-going basis to ensure that the data exchange standards continue to reflect the industry’s business requirements.
“The group acts within the scope set by the PDG, acting as the authoritative source of the industry’s business requirements in the area of airline distribution, and under the methodological guidance of the PADIS Board responsible for the maintenance of all IATA XML and EDIFACT data exchange standards in the passenger services area,” shared a source.
“We can’t specify the number of issues (to be sorted out at this juncture), but yes the core objective is to streamline the process for all the stakeholders. From the moment a request comes in from an agency to the point the offer is tailored as per the request, it has to be ensured that the offer not only matches the intent of the buyer, but also meets the interests of the parties,” explained the source.
“We need to assess the business requirement, and ensure technical changes don’t affect any other part of the standard – technically or from standard rules perspective,” shared the source.
So coming back to the scope of the change in schema related to “Interline Flight Shopping and Order Management”, it emerged that when an order features Offer Responsible Airline (ORA) and Product Offering Airline (POA), then there should be a place holder to contain OrderID and OrderItemID of both ORA and POA. And this called for a new structure.
As to what called for a change in coding, we need to understand that theoretically, the number of suppliers in an offer and eventually an order could be numerous. But there is no need to highlight the arrangement between the parties whenever an agency is receives an offer (So if two airlines or any two suppliers come together to respond to a request, it doesn’t call for detailing the commercial dealing of the parties involved). And the current structure didn’t reflect this, it called for a change in coding.
Issue: The OrderItemID should only go to the offer responsible airline, but not back to the travel agency or the corporate agency. There is no need to show the commercial agreement or the details (mainly pricing) of each item within the OfferItemID to the buyer. So these are the sort of the issues that are being addressed.
And the work is being done by the group on an ongoing basis.
Guest Editorial by Ritesh Gupta for Triometric: How close are airlines to identifying their customers and making those unbundled offers that sell?
There are encouraging signs that this ambition is not just a pipe dream but inching closer to a real and achievable vision. Industry execs around the globe seem to be in agreement that levelling the playing field between the direct and the indirect channel and creating an infrastructure capable of handling content rich ancillary merchandising is the only way forward. Pilots are in progress and there is burgeoning interest across the globe. But these are still early days as the industry cranks up its dynamic merchandising engines and data-driven decision-making. This means letting go of a flight-centric and transaction focused mentality (and systems) in favour of a customer-centric approach with the customer journey experience at the core of what an airline retails.
What’s happening in the data world?
If we look at how the world of data analytics is shaping up, especially as the industry embraces the NDC standards based on XML, the ability to know the customer better and the context in which he is making the buying decision is quite promising. It’s like several pieces of a big puzzle getting sorted out. If the emphasis is on identifying the customer using factors of probability on the one hand or segmenting them into “look-alike” clusters on the other, then there is a great opportunity to make the most of search behaviour and match it with buying intent. This is where being able to capture and analyse the detail in the data stream between requests and offers comes in.
Analysis to determine customer insights then becomes an ongoing exercise – learning about the behaviour and relating it to the merchandising strategy, paves the way for constant refining of what to offer each time a consumer searches for his next trip.
It should be noted that the product lines of travel retailers is expanding. Competitive differences being expressed through ancillaries and bundles. Carriers are getting more creative but hampered by their existing infrastructure in the way they personalise, package, and deliver their offers via the third party channel. This is why the ability to use search insights just at the time when a potential booker is looking for something would complement the whole omni-channel shopping landscape.
“As airlines attempt to respond to a request from the agency channel, as being envisioned with the adoption of the NDC standard, it’s imperative to leverage search and booking data to deliver products and services that customers most value,” says Jonathan Boffey, SVP- Business Development at Triometric, who attended Ai’s Mega Event, held recently in San Diego.
As a specialist in the arena of travel analytics, Triometric highlights that NDC is based on XML and XML data analysis offers deep intelligence into customer shopping intent and buying behaviour.
The industry is already looking at making NDC shopping data more accessible.
For its part, Triometric has just launched an optional analytics service for airline clients that monitors the XML data stream passing through Farelogix’s NDC-Xpress platform, an offering that is equipped to deliver airline-controlled merchandising, pricing and API distribution in a SaaS model. The analytics component will enable carriers to make the most of intelligence embedded in the rich NDC-schema compliant XML message streams. The company can also deliver equivalent reporting to other NDC booking environments.
“Understanding how travellers search and book for travel is increasingly vital for airlines as they embrace NDC standards,” says Boffey. “It a big part of the NDC opportunity and it can be applied anywhere along the B2B supply chain. Whether transacted by the end consumer directly or through an agent, if the traveller data is rich enough then there is ample scope to use the available insight in the tailoring and pricing of offers,” says Boffey.
Cracking that relevant offer
“There is a big realisation (among carriers) about the potential of leveraging data sets, but as of now the use is quite limited,” says Boffey.
On the positive side, there are airlines that work with a set of rules that helps them to independently manage their own product propositions (inventory, availability, price, product biasing etc.). For example, one can work out channel-specific merchandising rules, and this would pave the way for control of what can be sold.
Bringing the element of analytics into it, by delving deeper into search requests, offers and bookings every day, one would gain an insight into customers’ travel intentions and preferences. As Triometric asserts, this would help in tailoring better offers for conversions based on customer context and market demand.
This of course depends on large data volume processing capabilities and real-time analytics, delivered via visual dashboards and key indicator alerts that give airlines visibility into shopping intent on which these more accurate and timely personalised offers depend.
So critically what would happen at the point of search?
“So on the basis of the segmentation and the defined rules that set the scene for the chosen product mix, offers are shaped up. Now an airline might have a set of 50 offers. Which ones would be most apt and match more closely to the buying intent needs to be analysed on an ongoing basis. The success of these needs to be measured – “closing the loop”. Then over a period of time the system would prioritise accordingly. This means that in responding to a search, the airline would be in a position to come up with not just a relevant offer, but one that had been tried and tested. The fact that the basket of ancillary products is increasing, makes this issue more complex. So airlines need to be spot on with their work at the backend, and gear up for the changes,” explained Boffey.
While the business information is critical, different product searches will place different demands on the booking systems and these differences need to be understood. The team at Triometric has ensured that its latest platform also gives the IT department an insight into critical operational performance, and one would be able to slice and dice data according to key metrics. These include - performance (errors, response time etc.), product availability (no offer, how many offers were given, did the offer match the search request), price sensitivity and margin (look-to-book ratios, what sort of mix is working out well – core product plus third party products etc.) and relevance/ personalization.
So what’s the timetable?
Online travel is a fast paced and highly competitive environment where systems must be monitored and maintained to run optimally at all times to avoid any degradation of service to the user or loss of revenue opportunities.
“The NDC program is gathering pace”, says Boffey, “Many carriers have been through IATA’s familiarization program and are conducting pilots. Very soon, NDC compliance will no longer be optional for all the major and most of middle tier carriers”. IATA the driving force behind NDC is already intent on taking NDC to the next level with the One Order industry-led programme aimed at modernising the multiple and rigid booking, ticketing, delivery and accounting methods with a single, flexible order management process. The ultimate goal is a single customer order record holding all data elements required for order fulfilment across the travel cycle. That’s were analytics and the intelligence it can provide is also headed.