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Leveraging Customer Analytics: Hotels, OTAs

November 16, 2016 / 13:58

This episode features Raj Sivakumar, head of travel technology and strategy at WNS Global Services, and Peter Fader, Wharton marketing professor and co-director of the Wharton Customer Analytics Initiative. They discuss the role of analytics in understanding customer behavior in the travel industry, focusing on hotels and online travel agencies (OTAs).

Sivakumar explains how OTAs are improving their data collection methods, allowing them to analyze customer profiles, booking behaviors, and preferences. This data helps OTAs create targeted offers and enhance the customer experience.

Fader emphasizes the importance of experimentation in optimizing customer interactions. He discusses how OTAs can leverage customer loyalty and the factors that contribute to customer stickiness, such as loyalty programs and perceived value.

The conversation also touches on how hotels can use analytics to manage loyalty tiers effectively. Fader highlights the potential for hotels to create stronger emotional bonds with customers compared to airlines, given their ability to offer varied services and experiences.

Overall, the episode highlights the evolving landscape of customer analytics in the travel sector and the opportunities for both OTAs and hotels to enhance customer engagement and loyalty.

TLDR

Raj Sivakumar and Peter Fader discuss how analytics transform customer understanding in travel, focusing on OTAs and hotel loyalty programs.

Episode

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

Episode Highlights

  • Understanding Customer Behavior
    OTAs have a unique opportunity to analyze customer behavior and improve targeting strategies.
    “They have this rich array of information from the customer.”
    @ 02m 06s
    November 16, 2016
  • The Power of Loyalty Programs
    Hotel chains can leverage loyalty programs to enhance customer relationships and maximize value.
    “Hotels have an opportunity to create an emotional bond with the customer.”
    @ 12m 46s
    November 16, 2016

Episode Quotes

  • It's amazing how smart they are at understanding customers.
    Leveraging Customer Analytics: Hotels, OTAs
  • The best is yet to come.
    Leveraging Customer Analytics: Hotels, OTAs
  • Why do we have that stickiness?
    Leveraging Customer Analytics: Hotels, OTAs
  • Search is just the tip of the iceberg.
    Leveraging Customer Analytics: Hotels, OTAs

Key Moments

  • Data Collection01:01
  • Customer Experience02:24
  • Loyalty Programs12:34

Tension Over Time

Words per Minute Over Time

Vibes Breakdown