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Leveraging Customer Analytics: The Airline Industry

October 25, 2016 / 15:01

This episode features Raj Sivakumar, head of travel technology and strategy at WNS Global Services, and Peter Fader, Wharton marketing professor, discussing the impact of customer analytics on the airline industry.

The conversation covers the evolution of analytics in airlines, highlighting how they have led innovations such as loyalty programs and dynamic pricing. Raj emphasizes the importance of understanding customer attributes and the shift towards personalization in data analytics.

Peter discusses the significance of trade-offs in decision-making within airlines, advocating for a customer-centric approach that prioritizes customer lifetime value and retention metrics over traditional metrics.

They also address the challenges airlines face in forming partnerships with other travel-related businesses, stressing the need for consistent customer treatment and recognition across different platforms.

Finally, the episode touches on how airlines utilize social media for customer engagement and feedback, showcasing their proactive approach to managing customer experiences and leveraging spontaneous data.

TLDR

Raj Sivakumar and Peter Fader discuss how customer analytics is transforming the airline industry, focusing on personalization, partnerships, and social media engagement.

Episode

15:01
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we're here with Raj Sivakumar who is head of travel technology and strategy at wns Global Services and Peter fader
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who is wharton marketing professor and most recently co-director of the wharton customer analytics initiative welcome to
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both of you great to be thank you so we're here to focus on the airline industry and how customer analytics has
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really changed that industry so can you talk about some of the evolution of the use of analytics in Airlines yeah thanks
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so Debra just to provide some backdrop about the airline industry it has been perhaps one of the most distressed
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industries you know ever since no it started and in then entire airline food chain or the travel food chain the
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airlines make the least amount of profits you know compared to the other players in the ecosystem what they're
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just meant you know putting a positive spin - that is Airlines you know in particular have become the hotbed when
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it comes to innovation technology decision support optimization etc and if you look at any leading sort of a
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decision support system you know it's safe to say that the airlines have led
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the way okay whether it's a frequent flyer program whether it should have any
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management system whether it is a scheduling systems etc and because neccessity is the mother of invention
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now where this all fits in from an analytic standpoint is in the early days of decision support analytics played a
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supporting role okay so as revenue management for example sort of you know got enhanced okay clearly the advanced
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revenue management systems required better data it required more accurate data but there was very little
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personalization it was you know just to talk about airline parlance here it's
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looking at PN RS as opposed to looking at customers it is looking at the travel records as opposed to looking at the
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customers so while the data collection and the data enforcement so to speak has been there right from the beginning what
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we have seen in the last I would say five years or so is more of an emphasis on personalization okay understanding
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the customer more okay understanding the attributes of the customer more talking
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about you know what is it that we can glean you know from the data that we observe not just
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from that customer but also from the class of customers that look like that customer and that evolution is pretty
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market and clearly that evolution has become you know more prominent not only because you know of the advanced
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analytical techniques but also because of that ones need like a drink techniques and the technology that is
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available for us to parse the data now on a highlight would Raj said which is every other industry I was such an
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incredible debt of gratitude to the airline industry as he said they truly led the way they for instance you look
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at loyalty programs today we all take them for granted they're ubiquitous think about how many different programs
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you belong to but every one of those programs in a way is is paying homage to the airline's
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they did at first they did best that it continues to be a major strategic weapon
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there and on a very personal level I spend a lot of my time these days I'm looking at a revenue management or the
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notion of dynamic pricing in fact they just completed a paper where we apply different dynamic pricing techniques to
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a major league baseball club something like that would have been unthinkable 5 10 20 years ago and it really was the
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airlines who not only brought those words into our vocabulary but legitimize them and made it possible that indeed
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different people could pay different prices for the very same product and they made it acceptable and they made it
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profitable and so the and it's incredible that those two things alone loyalty programs and dynamic pricing
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really game-changing for every industry and it's remarkable that they that those
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innovations among many others come from one industry as airlines increasingly adopt data analytics tools what are key
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factors of success data analytics you know is about better decisions at the end of the day and in the airline space
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you know probably more so than any other space the decisions are all about trade-offs okay we are talking about no
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we are talking about customer centricity we are talking about revenue enhancement
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and we are talking about cost reduction and more often than not you know these three objectives are
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conflicting and as opposed to collaborating if I can say that so it is absolutely crucial that the scientists
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and the practitioners in who focus on data analytics understand the trade-offs well because at the end of the day we
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got to sell data analytics program or practice and make it viable in the industry and those airlines and those
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practitioners that are able to understand the trade-offs well are the ones that are going to succeed
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are they another day when Raj says is deceptively simple but actually much more complex to actually implement this
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idea of trade-offs which I completely agree with it sounds simple in fact we've had statistical techniques for
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decades they're gonna let us measure the trade-offs and understand how people
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will will make those and how they'll vary across people and how different kinds of contextual factors such as
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marketing messages might impact those trade-offs so from a pure measurement standpoint it's easy that's a solved
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problem but from implementing from building a business not just to accommodate those trade-offs but to
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build it entirely around those kinds of trade-offs the idea of taking customer centricity instead of saying oh yeah we
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got to be cars into the customer but say no that's the focus of what we do that's what's gonna drive our analytic
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success that's gonna mean much more than just having a bunch of smart people who
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can collect data and crunch numbers it's going to mean changing the corporate
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culture it's gonna mean changing the kinds of metrics that we use to judge the business so instead of just looking
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at things like volume and overall revenue and market share we're going to be looking at metrics such as customer
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lifetime value and customer retention metrics that by their very nature represent some of those trade-offs it's
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going to mean a different structure to the organization so it's it's not enough
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just to say we have to embrace trade-offs this has to come from the top down it has to be the c-level people say
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that is these kinds of trade-offs that is this notion of customer centricity that's gonna be front and center and in
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some sense if you can get that right then the honor the analytical capabilities are going to follow quite
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naturally well Airlines today are making a lot of alliances with outside partners
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such as hotel chains car rental companies and the like but in the process they do encounter
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some challenges can you talk about some of those challenges and how they can potentially overcome them
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sure it's a very interesting problem oh so airlines have stopped looking at themselves in isolation they have
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partnerships with the other airlines and they also have partnerships you know or
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could be having more partnership with other players and the ecosystems you know whether it's a car rental company
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whether it's a large travel intermediary like an OTA you know etc the challenge
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quite simply and from a customer standpoint the customer demands and deserves recognition and the customer
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demands and deserve consistency in the treatment and these two become challenges as you look at how do we deal
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with the customer from a NTD standpoint of the enterprise standpoint and the problem quite simply
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is does every player in the ecosystem would like to own the customer to use the parlance and in the process of
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owning the customer and the way they own the customer for the most part today okay is through the loyalty programs the
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airline frequent flyer programs or the hotel loyalty programs are such and the challenge there is is to be able to have
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an adequate treatment on how information is exchanged how if there is any monetary exchange of a customer that may
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you know but that may travel in a in a certain flight and stay in a certain hotel and take a certain car rental
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company okay who benefits more you know from what treatment okay because one could argue that you know the hotel or
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the airline in two brings bulk of the revenue okay in the car rental company plays a subsidiary role whereas the car
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rental company could could argue the other way you know because of their attributes is why you know a certain
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person is flying or whatever the case may be so the adequate treatment of the cross
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company sort of you know the the benefits and the value that is being transcended to the customer is going to
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be absolutely important you know between this you know between this company being
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able to recognize and reward the customer and then how they divvy up the value I'm not going to say revenue here
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how they divvy up the value you know that the customer brings to the ecosystem amongst themselves is going to
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be crucial they're getting better at it but a lot more work has to be done and
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indeed the idea of partnerships over there was it's it's an idea it's been
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around forever uh and in fact there there were some really bold initiative it's happening long before a lot of
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these operational ideas really came to pass so I'm thinking back 2530 years ago
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I can't remember the name of the entity when United Airlines bought Hertz and
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and Weston and the whole idea is let's get all these things together the problem is those partnerships were way
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ahead of their time and I'm thinking about all the words that the Rogers using over here the idea of customer
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centricity the idea of being able to track individual customers through all those different touch points and then
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allocating their value accordingly to them none of that was possible back when let's stay with that one case study when
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when when United was was buying up certain kinds of hotels and car rental companies at that point there were still
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entirely separate databases for the customers to the extent that were attracting customers at all across those
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three players there was no way to get that holistic view and there was no way on any kind of personalized level to be
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able to serve up differential experiences to customers based on what they were doing with one of the other
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partners so the partnerships ideas has been around forever and that's it's good
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it's nice to see an industry that's willing to take risks like that but we're on the verge right now because of
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this belief in data because of the belief in analytics because of the belief in customer centricity that these
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partnerships are going to start to really bear fruit and they're going to do so in a way that's going to be
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synergistic to all of the partners it's gonna be just tremendous insights arising from it and everyone's gonna be
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better off not only the partners involved but the customers as well so how can hairlines best use social media
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and other customer level data to drive product differentiation to boost sales and provide a superior customer
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experience social media that's that's that that's the great unknown that's
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that's the the world that we're stepping into right now and as always airlines
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have been truly at the leading edge of it and it's interesting cuz they're at
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the leading edge kind of in both ways which is on one hand being the producers being but really a proactive users of
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social media so whether it's you know hiring armies of people to monitor Twitter and every time they tweet about
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your name you know you're you're on it right away or one of the area's I just just love
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about Airlines it seems like every Christmas that's lots of different airlines to
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coming up with some some amazing viral video about how they're doing some surprise and delight weather was WestJet
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in Canada or a KLM over in Europe lots of examples of Airlines kind of began proactively using social media but then
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they're also on the receiving end of it as well because it's an industry that
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that that creates so much passion you're gonna get viral videos like that the
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famous United breaks guitars and and it's a famous example but it's been
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amazing to see how well not just United Airlines but the airlines in general have been doing there's a kind of a judo
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move to take a medium that had that in some ways can be used against them but to turn it around and turn it into a
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real strength now in no way am I suggesting that it's game over and that they figure this thing out but all I'm
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saying is that they are leading the way and I think a lot of industries are looking at the airlines to see in many
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ways they're the canary in the coal mine to see how they're using social media
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and I think in that same way the airlines are being proactive about looking for best practices outside the
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industry as well so just to add to what Peter said social media is incredible you know from a couple of different
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standpoint one is it's a rich set of independent data source right okay compared to the traditional data sources
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that airlines are used to and other companies are used to and secondly they're spontaneous okay and it says
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there's a remarkable level of importance you know that has to be at a attached to
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the spontaneity of the data you know just to kind of put this in context traditionally airlines have you know
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invested you know millions of dollars on contacting service right so whether in-flight survey or service that not
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nowadays come here email you know after the travel has happened hey what do you think about the booking process what do
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you think about the the travel process in-flight food etcetera etcetera okay and typically these services are sent
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you know you know month later or week later or whatever the case may be okay but even if the service or the sent
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spontaneously the response is about a month or two after the process happen you know for example a customer may have
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made the booking you know six months ago and now you're asking you know hey or do
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the booking process though right now with the advent of the social media what what it has done is
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the customer is able to spontaneously respond and in a very uncommon way respond to a certain experience and that
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provides the airlines with a very rich data source okay for them to think about what is the world thinking okay or at
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least a certain class of customers thinking about that particular aspect of the service good or bad and what we are
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doing in W illnesses you know there's a fair amount of investment that is going
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on we have an advanced social media analytics tool okay that captures the footprint social media footprint and
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maps it to certain airline attributes whether it's meals whether it's baggage
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whether it's a check-in process okay that and compares it with a peer group okay so you're able to do all this in a
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very unconstrained way and that makes it incredibly powerful compared to the traditional place because we you know
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just to repeat when you kind of look at the service for example or when you even
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when you look at the complaint data it's only a small fraction of the customers
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that actually take the trouble of complaining the vast majority of the customers just walk with their money to
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some other airline okay now as you capture this in real-time and be able to respond to it in real-time you know that
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puts the airlines in a better light and more importantly increases a loyalty element as well with that customer
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you

Episode Highlights

  • The Evolution of Airline Analytics
    Raj Sivakumar explains how analytics have transformed the airline industry, emphasizing the shift towards personalization.
    “Airlines have led the way in decision support systems.”
    @ 01m 10s
    October 25, 2016
  • Airlines and Loyalty Programs
    Peter Fader discusses the impact of loyalty programs, crediting airlines for their widespread adoption.
    “Every one of those programs is paying homage to the airlines.”
    @ 02m 57s
    October 25, 2016
  • Challenges in Airline Partnerships
    Raj outlines the complexities airlines face in partnerships and customer recognition.
    “The customer demands and deserves recognition.”
    @ 07m 11s
    October 25, 2016
  • The Power of Social Media
    Peter highlights how airlines are leveraging social media for customer engagement and feedback.
    “Airlines are at the leading edge of social media.”
    @ 10m 45s
    October 25, 2016

Episode Quotes

  • Airlines have become the hotbed of innovation.
    Leveraging Customer Analytics: The Airline Industry
  • Every industry owes a debt of gratitude to the airline industry.
    Leveraging Customer Analytics: The Airline Industry
  • Trade-offs sound simple but are complex to implement.
    Leveraging Customer Analytics: The Airline Industry
  • Airlines are leading the way in using social media.
    Leveraging Customer Analytics: The Airline Industry

Key Moments

  • Airline Analytics Evolution00:06
  • Loyalty Programs Impact02:41
  • Partnership Challenges07:11
  • Social Media Engagement10:45

Tension Over Time

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Vibes Breakdown