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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 begins with an overview of the airline industry's challenges and innovations, highlighting how airlines have led advancements in technology and decision support systems. Raj emphasizes the importance of personalization in analytics, moving beyond basic data collection to understanding customer attributes.

Peter shares insights on dynamic pricing and loyalty programs, noting that airlines have set the standard for these practices across various industries. He explains how airlines have made it acceptable for different customers to pay varying prices for the same product.

They discuss the importance of customer-centric decision-making, emphasizing the need for airlines to understand trade-offs between customer satisfaction, revenue enhancement, and cost reduction. Raj points out that successful airlines will be those that can navigate these trade-offs effectively.

The episode concludes with a discussion on the role of social media in customer engagement, with both guests agreeing that airlines are at the forefront of utilizing social media for real-time feedback and enhancing customer loyalty.

TL;DR

Raj Sivakumar and Peter Fader discuss how customer analytics is transforming the airline industry through personalization, dynamic pricing, and social media engagement.

Episode

15:01
00:00:01
we're here with Raj Sivakumar who is
00:00:04
head of travel technology and strategy
00:00:06
at wns Global Services and Peter fader
00:00:10
who is wharton marketing professor and
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most recently co-director of the wharton
00:00:15
customer analytics initiative welcome to
00:00:18
both of you great to be thank you so
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we're here to focus on the airline
00:00:22
industry and how customer analytics has
00:00:25
really changed that industry so can you
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talk about some of the evolution of the
00:00:31
use of analytics in Airlines yeah thanks
00:00:34
so Debra just to provide some backdrop
00:00:38
about the airline industry it has been
00:00:40
perhaps one of the most distressed
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industries you know ever since no it
00:00:45
started and in then entire airline food
00:00:48
chain or the travel food chain the
00:00:50
airlines make the least amount of
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profits you know compared to the other
00:00:53
players in the ecosystem what they're
00:00:56
just meant you know putting a positive
00:00:57
spin - that is Airlines you know in
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particular have become the hotbed when
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it comes to innovation technology
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decision support optimization etc and if
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you look at any leading sort of a
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decision support system you know it's
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safe to say that the airlines have led
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the way okay whether it's a frequent
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flyer program whether it should have any
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management system whether it is a
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scheduling systems etc and because
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neccessity is the mother of invention
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now where this all fits in from an
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analytic standpoint is in the early days
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of decision support analytics played a
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supporting role okay so as revenue
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management for example sort of you know
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got enhanced okay clearly the advanced
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revenue management systems required
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better data it required more accurate
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data but there was very little
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personalization it was you know just to
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talk about airline parlance here it's
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looking at PN RS as opposed to looking
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at customers it is looking at the travel
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records as opposed to looking at the
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customers so while the data collection
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and the data enforcement so to speak has
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been there right from the beginning what
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we have seen in the last I would say
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five years or so is more of an emphasis
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on personalization okay understanding
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the customer more okay understanding the
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attributes of the customer more talking
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about you know
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what is it that we can glean you know
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from the data that we observe not just
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from that customer but also from the
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class of customers that look like that
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customer and that evolution is pretty
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market and clearly that evolution has
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become you know more prominent not only
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because you know of the advanced
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analytical techniques but also because
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of that ones need like a drink
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techniques and the technology that is
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available for us to parse the data now
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on a highlight would Raj said which is
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every other industry I was such an
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incredible debt of gratitude to the
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airline industry as he said they truly
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led the way they for instance you look
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at loyalty programs today we all take
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them for granted they're ubiquitous
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think about how many different programs
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you belong to but every one of those
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programs in a way is is paying homage to
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the airline's
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they did at first they did best that it
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continues to be a major strategic weapon
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there and on a very personal level I
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spend a lot of my time these days I'm
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looking at a revenue management or the
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notion of dynamic pricing in fact they
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just completed a paper where we apply
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different dynamic pricing techniques to
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a major league baseball club something
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like that would have been unthinkable 5
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10 20 years ago and it really was the
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airlines who not only brought those
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words into our vocabulary but legitimize
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them and made it possible that indeed
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different people could pay different
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prices for the very same product and
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they made it acceptable and they made it
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profitable and so the and it's
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incredible that those two things alone
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loyalty programs and dynamic pricing
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really game-changing for every industry
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and it's remarkable that they that those
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innovations among many others come from
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one industry as airlines increasingly
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adopt data analytics tools what are key
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factors of success data analytics you
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know is about better decisions at the
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end of the day and in the airline space
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you know probably more so than any other
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space the decisions are all about
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trade-offs okay we are talking about no
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we are talking about customer centricity
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we are talking about revenue enhancement
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and we are talking about cost reduction
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and more often than not
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you know these three objectives are
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conflicting and as opposed to
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collaborating if I can say that so it is
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absolutely crucial that the scientists
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and the practitioners in who focus on
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data analytics understand the trade-offs
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well because at the end of the day we
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got to sell data analytics program or
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practice and make it viable in the
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industry and those airlines and those
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practitioners that are able to
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understand the trade-offs well are the
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ones that are going to succeed
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are they another day when Raj says is
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deceptively simple but actually much
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more complex to actually implement this
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idea of trade-offs which I completely
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agree with it sounds simple in fact
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we've had statistical techniques for
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decades they're gonna let us measure the
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trade-offs and understand how people
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will will make those and how they'll
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vary across people and how different
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kinds of contextual factors such as
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marketing messages might impact those
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trade-offs so from a pure measurement
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standpoint it's easy that's a solved
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problem but from implementing from
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building a business not just to
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accommodate those trade-offs but to
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build it entirely around those kinds of
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trade-offs the idea of taking customer
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centricity instead of saying oh yeah we
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got to be cars into the customer but say
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no that's the focus of what we do
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that's what's gonna drive our analytic
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success that's gonna mean much more than
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just having a bunch of smart people who
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can collect data and crunch numbers it's
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going to mean changing the corporate
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culture it's gonna mean changing the
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kinds of metrics that we use to judge
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the business so instead of just looking
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at things like volume and overall
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revenue and market share we're going to
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be looking at metrics such as customer
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lifetime value and customer retention
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metrics that by their very nature
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represent some of those trade-offs it's
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going to mean a different structure to
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the organization so it's it's not enough
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just to say we have to embrace
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trade-offs this has to come from the top
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down it has to be the c-level people say
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that is these kinds of trade-offs that
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is this notion of customer centricity
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that's gonna be front and center and in
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some sense if you can get that right
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then the honor the analytical
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capabilities are going to follow quite
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naturally well Airlines today are making
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a lot of alliances with outside partners
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such as hotel chains car rental
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companies and the like but in the
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process they do encounter
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some challenges can you talk about some
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of those challenges and how they can
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potentially overcome them
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sure it's a very interesting problem oh
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so airlines have stopped looking at
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themselves in isolation they have
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partnerships with the other airlines and
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they also have partnerships you know or
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could be having more partnership with
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other players and the ecosystems you
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know whether it's a car rental company
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whether it's a large travel intermediary
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like an OTA you know etc the challenge
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quite simply and from a customer
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standpoint the customer demands and
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deserves recognition and the customer
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demands and deserve consistency in the
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treatment and these two become
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challenges as you look at how do we deal
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with the customer from a
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NTD standpoint of the enterprise
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standpoint and the problem quite simply
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is does every player in the ecosystem
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would like to own the customer to use
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the parlance and in the process of
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owning the customer and the way they own
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the customer for the most part today
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okay is through the loyalty programs the
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airline frequent flyer programs or the
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hotel loyalty programs are such and the
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challenge there is is to be able to have
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an adequate treatment on how information
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is exchanged how if there is any
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monetary exchange of a customer that may
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you know but that may travel in a in a
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certain flight and stay in a certain
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hotel and take a certain car rental
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company okay who benefits more you know
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from what treatment okay because one
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could argue that you know the hotel or
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the airline in two brings bulk of the
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revenue okay in the car rental company
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plays a subsidiary role whereas the car
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rental company could could argue the
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other way you know because of their
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attributes is why you know a certain
00:08:20
person is flying or whatever the case
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may be
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so the adequate treatment of the cross
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company sort of you know the the
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benefits and the value that is being
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transcended to the customer is going to
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be absolutely important you know between
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this you know between this company being
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able to recognize and reward the
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customer and then how they divvy up the
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value I'm not going to say revenue here
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how they divvy up the value you know
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that the customer brings to the
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ecosystem amongst themselves is going to
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be crucial they're getting better at it
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but a lot more work has to be done and
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indeed the idea of partnerships over
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there was it's it's an idea it's been
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around forever uh and in fact there
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there were some really bold initiative
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it's happening long before a lot of
00:08:58
these operational ideas really came to
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pass so I'm thinking back 2530 years ago
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I can't remember the name of the entity
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when United Airlines bought Hertz and
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and Weston and the whole idea is let's
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get all these things together the
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problem is those partnerships were way
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ahead of their time and I'm thinking
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about all the words that the Rogers
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using over here the idea of customer
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centricity the idea of being able to
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track individual customers through all
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those different touch points and then
00:09:24
allocating their value accordingly to
00:09:27
them none of that was possible back when
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let's stay with that one case study when
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when when United was was buying up
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certain kinds of hotels and car rental
00:09:36
companies at that point there were still
00:09:37
entirely separate databases for the
00:09:40
customers to the extent that were
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attracting customers at all across those
00:09:44
three players there was no way to get
00:09:46
that holistic view and there was no way
00:09:48
on any kind of personalized level to be
00:09:50
able to serve up differential
00:09:52
experiences to customers based on what
00:09:54
they were doing with one of the other
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partners so the partnerships ideas has
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been around forever and that's it's good
00:10:00
it's nice to see an industry that's
00:10:01
willing to take risks like that but
00:10:03
we're on the verge right now because of
00:10:06
this belief in data because of the
00:10:07
belief in analytics because of the
00:10:09
belief in customer centricity that these
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partnerships are going to start to
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really bear fruit and they're going to
00:10:14
do so in a way that's going to be
00:10:16
synergistic to all of the partners it's
00:10:18
gonna be just tremendous insights
00:10:19
arising from it and everyone's gonna be
00:10:21
better off not only the partners
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involved but the customers as well so
00:10:27
how can hairlines best use social media
00:10:29
and other customer level data to drive
00:10:32
product differentiation to boost sales
00:10:34
and provide a superior customer
00:10:36
experience social media that's that's
00:10:39
that that's the great unknown that's
00:10:40
that's the the world that we're stepping
00:10:42
into right now and as always airlines
00:10:45
have been truly at the leading edge of
00:10:47
it and it's interesting cuz they're at
00:10:48
the leading edge kind of in both ways
00:10:50
which is on one hand being the producers
00:10:53
being but really a proactive users of
00:10:56
social media so whether it's you know
00:10:58
hiring armies of people to monitor
00:11:00
Twitter and every time they tweet about
00:11:02
your name you know you're you're on it
00:11:04
right away
00:11:05
or one of the area's I just just love
00:11:07
about Airlines it seems like every
00:11:09
Christmas
00:11:09
that's lots of different airlines to
00:11:11
coming up with some some amazing viral
00:11:13
video about how they're doing some
00:11:15
surprise and delight weather was WestJet
00:11:17
in Canada or a KLM over in Europe lots
00:11:23
of examples of Airlines kind of began
00:11:25
proactively using social media but then
00:11:27
they're also on the receiving end of it
00:11:28
as well because it's an industry that
00:11:31
that that creates so much passion you're
00:11:34
gonna get viral videos like that the
00:11:36
famous United breaks guitars and and
00:11:40
it's a famous example but it's been
00:11:42
amazing to see how well not just United
00:11:44
Airlines but the airlines in general
00:11:46
have been doing there's a kind of a judo
00:11:49
move to take a medium that had that in
00:11:51
some ways can be used against them but
00:11:53
to turn it around and turn it into a
00:11:55
real strength now in no way am I
00:11:57
suggesting that it's game over and that
00:11:59
they figure this thing out but all I'm
00:12:01
saying is that they are leading the way
00:12:02
and I think a lot of industries are
00:12:04
looking at the airlines to see in many
00:12:06
ways they're the canary in the coal mine
00:12:07
to see how they're using social media
00:12:09
and I think in that same way the
00:12:10
airlines are being proactive about
00:12:12
looking for best practices outside the
00:12:14
industry as well so just to add to what
00:12:17
Peter said social media is incredible
00:12:20
you know from a couple of different
00:12:22
standpoint one is it's a rich set of
00:12:25
independent data source right okay
00:12:27
compared to the traditional data sources
00:12:29
that airlines are used to and other
00:12:30
companies are used to and secondly
00:12:33
they're spontaneous okay and it says
00:12:35
there's a remarkable level of importance
00:12:37
you know that has to be at a attached to
00:12:39
the spontaneity of the data you know
00:12:41
just to kind of put this in context
00:12:43
traditionally airlines have you know
00:12:45
invested you know millions of dollars on
00:12:48
contacting service right so whether
00:12:50
in-flight survey or service that not
00:12:52
nowadays come here email you know after
00:12:54
the travel has happened hey what do you
00:12:55
think about the booking process what do
00:12:57
you think about the the travel process
00:12:58
in-flight food etcetera etcetera okay
00:13:00
and typically these services are sent
00:13:02
you know you know month later or week
00:13:04
later or whatever the case may be okay
00:13:05
but even if the service or the sent
00:13:08
spontaneously the response is about a
00:13:11
month or two after the process happen
00:13:12
you know for example a customer may have
00:13:14
made the booking you know six months ago
00:13:16
and now you're asking you know hey or do
00:13:18
the booking process though right now
00:13:19
with the advent of the social media what
00:13:22
what it has done is
00:13:23
the customer is able to spontaneously
00:13:26
respond and in a very uncommon way
00:13:29
respond to a certain experience and that
00:13:33
provides the airlines with a very rich
00:13:36
data source okay for them to think about
00:13:39
what is the world thinking okay or at
00:13:42
least a certain class of customers
00:13:43
thinking about that particular aspect of
00:13:45
the service good or bad and what we are
00:13:48
doing in W illnesses you know there's a
00:13:50
fair amount of investment that is going
00:13:51
on we have an advanced social media
00:13:53
analytics tool okay that captures the
00:13:55
footprint social media footprint and
00:13:57
maps it to certain airline attributes
00:14:00
whether it's meals whether it's baggage
00:14:01
whether it's a check-in process okay
00:14:03
that and compares it with a peer group
00:14:05
okay so you're able to do all this in a
00:14:07
very unconstrained way and that makes it
00:14:09
incredibly powerful compared to the
00:14:11
traditional place because we you know
00:14:13
just to repeat when you kind of look at
00:14:15
the service for example or when you even
00:14:16
when you look at the complaint data it's
00:14:18
only a small fraction of the customers
00:14:20
that actually take the trouble of
00:14:22
complaining the vast majority of the
00:14:24
customers just walk with their money to
00:14:25
some other airline okay now as you
00:14:28
capture this in real-time and be able to
00:14:29
respond to it in real-time you know that
00:14:31
puts the airlines in a better light and
00:14:33
more importantly increases a loyalty
00:14:35
element as well with that customer
00:14:51
you

Episode Highlights

  • The Evolution of Airlines
    Airlines have led the way in innovation and analytics, transforming the industry.
    “Airlines have become the hotbed of innovation.”
    @ 00m 59s
    October 25, 2016
  • Impact on Other Industries
    Raj emphasizes how airlines set the standard for loyalty programs across sectors.
    “Every industry owes a debt of gratitude to the airline industry.”
    @ 02m 44s
    October 25, 2016
  • Dynamic Pricing Revolution
    Dynamic pricing techniques, once unthinkable, are now standard thanks to airlines.
    “Dynamic pricing was unthinkable 20 years ago, thanks to airlines.”
    @ 03m 26s
    October 25, 2016
  • Harnessing Social Media
    Airlines are at the forefront of using social media for customer engagement.
    “Social media is the great unknown for airlines.”
    @ 10m 39s
    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
  • Dynamic pricing was unthinkable 20 years ago, thanks to airlines.
    Leveraging Customer Analytics: The Airline Industry
  • Social media is the great unknown for airlines.
    Leveraging Customer Analytics: The Airline Industry

Key Moments

  • Customer Analytics00:22
  • Innovation in Airlines00:59
  • Dynamic Pricing03:26
  • Social Media Strategy10:39

Words per Minute Over Time

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