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Leveraging Customer Analytics: Hotels, OTAs

November 16, 2016 / 13:58

This episode features Raj Sivakumar from WNS Global Services and Peter Fader, a Wharton marketing professor, discussing the role of analytics in travel agencies and online travel agencies (OTAs). Key topics include customer data collection, loyalty programs, and the importance of understanding customer behavior.

Raj Sivakumar explains how OTAs are enhancing their business through advanced customer analytics, focusing on data collection and understanding customer booking processes. He highlights the advantages OTAs have over airlines in analyzing customer travel patterns.

Peter Fader emphasizes the need for experimentation in OTAs to improve customer experience and optimize offers. He discusses the significance of loyalty programs and how they influence customer booking decisions.

Both guests agree on the importance of understanding customer lifetime value and how hotels can leverage analytics to manage loyalty tiers effectively. They note that hotels have a unique opportunity to create emotional bonds with customers compared to airlines.

The conversation concludes with insights on the future of customer-centric strategies in the travel industry, emphasizing the potential for OTAs and hotels to enhance customer experiences through data-driven approaches.

TL;DR

Raj Sivakumar and Peter Fader discuss how OTAs use analytics to enhance customer experience and loyalty programs in the travel industry.

Episode

13:58
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
wharton marketing professor and most
00:00:12
recently co-director of the wharton
00:00:14
customer analytics initiative welcome to
00:00:17
both of you thank you so we're gonna
00:00:20
talk about hotels and online travel
00:00:22
agencies and first of all can you tell
00:00:25
me what travel agencies both traditional
00:00:29
and online are doing now in analytics to
00:00:32
understand their customers better and
00:00:34
what business opportunities does this
00:00:37
represent thanks Jay probe travel
00:00:41
agencies and the large intermediaries
00:00:43
such as of OTAs are becoming
00:00:45
increasingly savvy at applying customer
00:00:49
analytics you know in order to enhance
00:00:51
their own own business as well as
00:00:53
enhance the customer experience just to
00:00:56
give you an example you know they you
00:00:59
know this first of all everything starts
00:01:01
with the data collection right and
00:01:02
they're getting increasingly good at you
00:01:05
know knowing the customer knowing the
00:01:07
customers profile okay where they are
00:01:09
booking from and certainly you know the
00:01:10
advances you know the the the geo
00:01:13
locations and such is helping the
00:01:14
process right and the data collection is
00:01:18
becoming richer and richer and because
00:01:21
of the nature of the booking process
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okay they are also able to collect
00:01:26
traditionally used to call it keystrokes
00:01:28
now these are clicks they're able to
00:01:30
collect how far into the customer
00:01:32
progress you know in their booking
00:01:33
process you know before they walked away
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you know did they just look for
00:01:37
something did they go all the way up to
00:01:39
the payment screen and then they walked
00:01:41
away so you have all this rich data
00:01:43
about customers and how far they vent in
00:01:45
their booking process and thirdly the
00:01:49
OTAs and the travel agents have an
00:01:51
advantage that even the airlines don't
00:01:52
and that is they're able to understand
00:01:54
the entire ecosystem of customers travel
00:01:57
so as an example if you go to a large
00:01:59
your key nowadays you can either just
00:02:01
booked a flight or book a flight in a
00:02:02
hotel booked a flight or hotel in the
00:02:03
car rental etc so they have this rich
00:02:06
array of information from the customer
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on what class of customers would rather
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just travel and what caused them to book
00:02:11
a hotel what caused them to book a car
00:02:13
rental or any combination
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shin of that right so this again the
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data collection you know is getting
00:02:19
better and better and better and they're
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starting to use that data to target
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customers with specific offers i would
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say in a way the the large agents have
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taken a leaf out of the airline you know
00:02:31
who have traditionally been very very
00:02:32
good at analyzing the customer data and
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they really taken it to the next level
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because they're able to do they're able
00:02:37
to start investing in that so what
00:02:39
they're doing is you know and all of us
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have seen this you know with the large
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OTS in particular we get offers okay and
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we get off with hey do this and you get
00:02:48
this for free whatever the case may be
00:02:49
and they're getting better that they're
00:02:51
getting better analyzing the data the
00:02:53
bettering they're getting better at
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Target offerings for the customers and
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this fantastic they're so smart it's
00:02:59
it's amazing it's not just out there
00:03:02
getting more data it's not just
00:03:03
capturing every click but it's really
00:03:06
understanding what it means it's really
00:03:08
understanding almost inside the
00:03:10
consumers head the process that their
00:03:12
followers it's not just you know how
00:03:13
many clicks until they book or they
00:03:15
leave but it's understanding for which
00:03:17
kinds of customers do we want to sort
00:03:19
say the different hotel options on the
00:03:21
basis of price on the basis of stars are
00:03:24
on the basis of social recommendations
00:03:26
so so after you've made a few bookings
00:03:28
or just even just visits to the site we
00:03:31
know how to serve up the information for
00:03:33
you and other customers like you so we
00:03:36
know how many results we should be
00:03:38
showing some people get overwhelmed if
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they see more than five other people
00:03:41
would like to see more options we know
00:03:43
which sort order to use we know which
00:03:44
filters to have on the left side so the
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idea of customizing the experience and
00:03:49
not just the the overall you know a
00:03:52
travel experience itself but the
00:03:55
experience that leads to the travel I
00:03:57
think it's been one area where the OTAs
00:03:59
have been a way out there on the leading
00:04:01
edge and it's been great to see among
00:04:03
other things the way that they've
00:04:04
embraced a lot of academic work in order
00:04:07
to run experiments and do the right
00:04:08
kinds of data optimization and so on to
00:04:12
become smarter about it I think though
00:04:14
the best is yet to come what are some
00:04:17
best practices that OTS need to follow
00:04:20
in your opinion um just to pick up on
00:04:24
what up what Peter said
00:04:26
I think the the OTS have an incredible
00:04:29
opportunity to understand the
00:04:32
unconstrained customer behavior okay so
00:04:35
it's not only you know when you look at
00:04:37
the airline for example all the airline
00:04:39
gets to see is sort of the flown pattern
00:04:42
if i can say that okay but what the work
00:04:44
is get to see is what led the customer
00:04:47
to make a decision whether to book or
00:04:50
not to book and with that opportunity
00:04:53
also you know comes a responsibility you
00:04:56
know on on the other part of the work
00:04:57
lace on how do they maximize and for
00:05:00
their own you know for their one good as
00:05:02
well as for the customers benefit how do
00:05:04
they maximize the value that they
00:05:06
provide to the customer in terms of
00:05:08
targeting the customer in a way the
00:05:10
right offer okay offering the customer
00:05:13
the right value okay and perhaps even
00:05:15
partnering with the airline okay in
00:05:18
terms of you know what is it that the
00:05:19
airline could be doing or what is it
00:05:21
that other players in the ecosystem
00:05:22
could be doing in terms of positioning
00:05:24
their product we enhance the experience
00:05:26
for the customer and this is really
00:05:28
advanced and clearly we're not there yet
00:05:30
okay but you know and unfortunately you
00:05:32
know a lot of instances there's a bit of
00:05:34
an adversarial relationship you know
00:05:36
between the different players in the
00:05:37
ecosystem but given that the OTS are
00:05:40
really the fulcrum where they they're
00:05:43
able to get the vantage vue of a
00:05:45
customer from you know the multiple
00:05:47
components of the travel ecosystem they
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truly have an opportunity to put all
00:05:50
these pieces together okay and be a
00:05:52
leader you know when it comes to
00:05:54
understanding the customer and
00:05:56
prescribing to the other players in
00:05:57
vehicle system what what could be done
00:05:59
we increase the value for everybody I
00:06:01
just want to add one word to what Raj
00:06:03
said and that's experimentation the OTAs
00:06:07
on one hand is a problem they're facing
00:06:10
so many different sources of variability
00:06:12
so many different options that a
00:06:15
customer i want to see but that creates
00:06:17
an opportunity so let's go out there and
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and very different offers let's go out
00:06:22
there and very the look and feel of the
00:06:24
website let's go out there and very as i
00:06:26
said a moment ago the way that we sort
00:06:28
the different options that are made
00:06:29
available to the customer let's do this
00:06:31
in a systematic way let's have control
00:06:33
groups let's let's not only run this
00:06:35
experiment today let's think about based
00:06:38
on the result of this experiment what
00:06:39
experiments are we going to
00:06:40
next so we see a lot of leading-edge
00:06:42
work there in order to really embrace
00:06:45
all of that variability and as Roger
00:06:47
said to not only do a better job for
00:06:49
themselves but then become even more of
00:06:51
a thought leader throughout the entire
00:06:53
ecosystem to pass some of that knowledge
00:06:55
to some of the partners that they work
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with so travelers like to compare prices
00:07:01
online but once when it comes to
00:07:03
actually booking something they tend to
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go with the companies where they have
00:07:07
loyalty programs so what can I TAS do to
00:07:11
enhance their customer brookings this
00:07:14
has been one of the most fascinating and
00:07:16
one of those well cited papers that I've
00:07:18
ever written paper that I wrote oh
00:07:20
goodness 15 years ago when all of this
00:07:21
was just starting when the whole
00:07:23
internet thing was just taking shape we
00:07:25
were throwing around words like hyper
00:07:27
competition frictionless commerce
00:07:29
disintermediation and we figured that by
00:07:32
say 2016 2017 everyone would be pricing
00:07:37
it cost but that's not the case one of
00:07:40
the things that we observed just as you
00:07:42
cute it up in the question Deb is that
00:07:44
there's there's much less search going
00:07:47
on than there should be if people were
00:07:49
rational if markets were efficient then
00:07:51
then customers would be searching every
00:07:54
possible option to find the best price
00:07:56
but we find out that there's a lot more
00:07:58
stickiness in the system and here's the
00:08:01
question why do we have that stickiness
00:08:03
is it because the loyalty programs exist
00:08:05
is it because of true loyalty that that
00:08:08
a lot of customers feel that they just
00:08:10
can't abandon certain OTAs or travel
00:08:14
providers is it laziness so there's a
00:08:17
lot of different reasons why and that's
00:08:20
part of the research that I do is to try
00:08:22
to sort out in which cases is it true
00:08:24
loyalty or is it that you feel held
00:08:26
hostage because you've accumulated so
00:08:28
many points and you better stay there
00:08:30
I'm or is it in some cases just laziness
00:08:32
and i found an offer it's good enough
00:08:34
I'm moving on so to understand those
00:08:37
sources of stickiness and and how it's
00:08:40
going to vary from different kinds of
00:08:41
customers and then very importantly how
00:08:43
it is that companies can both create it
00:08:45
and leverage it to understand that the
00:08:47
people aren't going to search so broadly
00:08:49
so maybe we don't have to compete on
00:08:51
price maybe we can compete more on sir
00:08:53
service and selection and quality and
00:08:55
convenience that price is as Raj likes
00:08:58
to say all the time just a trade-off
00:09:00
attribute it's not even necessarily the
00:09:02
number one attribute and so in a weird
00:09:04
way if we can be a true trusted advisor
00:09:08
to the customer then then then search is
00:09:11
a bad thing we want them to search less
00:09:13
we want them to know that they're going
00:09:14
to get a pretty good deal not just on
00:09:16
this trip but we're going to survive
00:09:17
surround them with a variety of other
00:09:19
products and services so search is just
00:09:21
kind of the tip of the iceberg about all
00:09:23
this stuff that we call customer
00:09:25
centricity and some of the strange
00:09:26
surprising results that we've seen for
00:09:29
it I think shows the power of loyalty
00:09:31
and customer centricity and just try to
00:09:34
what Peter said you know at the end of
00:09:36
the day that customers are going to go
00:09:38
through each step for their transaction
00:09:40
where they see the value you know
00:09:42
clearly they they come to the OTAs you
00:09:44
know because they see the value in
00:09:45
shopping and they go to the you know
00:09:47
they take the effort of going to an
00:09:49
airline website okay to make the booking
00:09:51
because they see some value you know the
00:09:53
in doing that part of the transaction
00:09:54
despite the additional effort that is
00:09:56
involved what do you have an opportunity
00:09:57
you know to create value you know they
00:09:59
have an opportunity you know and like I
00:10:01
said before they are at the fulcrum
00:10:03
where there's different components of
00:10:05
the travel ecosystem come together okay
00:10:07
and it is incumbent upon the oth to find
00:10:09
out how to make sure okay that the value
00:10:12
is generated all the way through the the
00:10:15
transaction and not just for the search
00:10:17
purposes and also you know the act of
00:10:20
moving towards an airline for booking
00:10:21
you know its geographic okay no the lot
00:10:26
of this happens in North America okay
00:10:28
but where does him you know when you
00:10:29
look at Asia uncertainly Europe okay the
00:10:32
transaction is completed on the oth sir
00:10:33
okay and it goes back to understanding
00:10:35
the customer okay and another day you
00:10:38
know the customer why is the customer in
00:10:40
North America going to an airline to
00:10:42
complete the transaction was the
00:10:44
customer in Asia and Europe perhaps
00:10:45
staying in the roti so the data is
00:10:47
available okay it's up to the you know
00:10:49
the right people to do the right kind of
00:10:50
analysis to answer that question so
00:10:54
hotel chains would like to maximize
00:10:56
their marketing return on investment
00:10:58
through analytics so how can they use
00:11:02
analytics to manage loyalty tears more
00:11:05
effectively
00:11:07
me it starts with customer lifetime
00:11:09
value that in the old days before we had
00:11:12
the kind of data before we had the
00:11:14
analytical capabilities it was here's a
00:11:16
guest let's just figure out what's the
00:11:17
right thing for the guests and they were
00:11:19
again faceless nameless undifferentiated
00:11:21
entities but today based on collecting
00:11:26
good data on having really good CRM
00:11:28
systems and the ability to draw insight
00:11:29
from it we can understand who are the
00:11:32
customers who not only have been really
00:11:34
valuable to us but based on on using
00:11:38
analytics like customer lifetime value
00:11:40
we can project how much more value they
00:11:42
have in them and we can start to treat
00:11:44
them a little bit differently maybe have
00:11:45
a little bit different line for check-in
00:11:47
put them on a different floor give them
00:11:49
different kinds of services or maybe
00:11:50
even be a touch more responsive for them
00:11:52
than we be for other customers there's a
00:11:55
lot of industries that have been kind of
00:11:57
hesitant to do that they didn't believe
00:11:59
that they could really see the
00:12:00
difference across customers and they
00:12:03
also thought that it would be both too
00:12:05
difficult too expensive there'd be too
00:12:07
much of a backlash if they treated
00:12:09
different customers differently we're
00:12:11
starting to see hotels really starting
00:12:12
to embrace these ideas quite well and to
00:12:14
recognize that there really are
00:12:16
different tiers of customers not on the
00:12:17
basis of demographics but on the basis
00:12:20
of genuine value and so to embrace that
00:12:23
more and more and to really build the
00:12:25
business around those differences across
00:12:26
the customers I think is the real path
00:12:28
to the future and they're off to a good
00:12:30
start and the hotel loyalty programs I
00:12:34
would have actually even higher
00:12:36
possibility you know for success than
00:12:38
and airline likely programs if you think
00:12:39
about it for a couple of different
00:12:41
reasons because of the nature of the
00:12:43
business the hotels have an opportunity
00:12:44
to create even more of an emotional bond
00:12:46
you know with the customer as opposed to
00:12:48
just an airline you know because the
00:12:50
only thing that happens in their line is
00:12:51
you know you sit in the seat and go from
00:12:53
point A to point B secondly they the
00:12:56
hotel's unlike the airline's they have
00:12:57
multiple brands okay so depending on the
00:13:00
travel needs of the customer they're
00:13:01
able to say you know you know we can
00:13:04
target you with specific offers on the
00:13:07
specific brand you know for a specific
00:13:08
location the opportunity is there and
00:13:11
you know the concept behind the loyalty
00:13:14
program is the same everywhere it
00:13:16
increases the stickiness and it also
00:13:18
gives you a higher share of the wallet
00:13:19
and you know so if the holders can tap
00:13:21
this right they have an incredibly rich
00:13:24
possibility you know of leveraging even
00:13:26
more or the loyalty programs than what
00:13:29
they are lines do and they're starting
00:13:30
to do that long way to go but the
00:13:32
opportunity is clearly there
00:13:50
you

Episode Highlights

  • The Rise of Customer Analytics
    Travel agencies are becoming savvy at applying customer analytics to enhance experiences.
    “They're getting increasingly good at knowing the customer profile.”
    @ 00m 45s
    November 16, 2016
  • Data-Driven Decision Making
    OTAs are using rich data to target customers with specific offers.
    “It's not just capturing every click but understanding what it means.”
    @ 03m 03s
    November 16, 2016
  • The Power of Loyalty Programs
    Understanding customer stickiness can enhance loyalty programs for OTAs.
    “Search is just the tip of the iceberg in customer centricity.”
    @ 09m 21s
    November 16, 2016

Episode Quotes

  • It's amazing how smart they are!
    Leveraging Customer Analytics: Hotels, OTAs
  • The best is yet to come!
    Leveraging Customer Analytics: Hotels, OTAs
  • Understanding customer behavior is key!
    Leveraging Customer Analytics: Hotels, OTAs

Key Moments

  • Customer Analytics00:45
  • Data Collection01:01
  • Loyalty Programs12:34

Words per Minute Over Time

Vibes Breakdown

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