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	<title>Revenue Management Archives - Travel Data Daily</title>
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	<description>For Travel Industry Loyalty Professionals</description>
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	<title>Revenue Management Archives - Travel Data Daily</title>
	<link>https://www.traveldatadaily.com/category/big-data/revenue-management/</link>
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		<title>Status Match Would Be The Cover Photo of An Airlines Dating Profile</title>
		<link>https://www.traveldatadaily.com/status-match-cover-shot-airline-dating-profile/</link>
		
		<dc:creator><![CDATA[Oliver Ranson]]></dc:creator>
		<pubDate>Wed, 31 Aug 2022 13:00:59 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Finance]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[Travel]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2867</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/status-match-cover-shot-airline-dating-profile/" title="Status Match Would Be The Cover Photo of An Airlines Dating Profile" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2022/08/ba_first_wing-150x150.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="british airways" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" /></a><p>Lessons from online dating help show why a status match programme is the best way for airlines to acquire high-value passengers, fast. Consider online dating, and you might imagine gorgeous girls and hunky guys falling in love at first swipe. The reality is not so sweet, as robot profiles, matches that go nowhere and a [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/status-match-cover-shot-airline-dating-profile/">Status Match Would Be The Cover Photo of An Airlines Dating Profile</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/o438h45fv89j/">Oliver Ranson</a></p>
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		<title>Loyalty &#038; Revenue Management &#8211; The Super Duo</title>
		<link>https://www.traveldatadaily.com/loyalty-and-revenue-management-super-duo/</link>
		
		<dc:creator><![CDATA[Oliver Ranson]]></dc:creator>
		<pubDate>Fri, 21 Feb 2020 11:22:31 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[Technology]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[qatar airways]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2387</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/loyalty-and-revenue-management-super-duo/" title="Loyalty &#038; Revenue Management &#8211; The Super Duo" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2020/02/15187003_s-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="Loyalty and Revenue Management" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" /></a><p>&#8220;Show me the money!&#8221; That&#8217;s what Jerry Maguire says to keep his Client in Cameron Crowe&#8217;s 1996 film starring Tom Cruise in which Jerry, a sports agent, is let go by his employer and finds his own way. It&#8217;s also an excellent mindset for those seeking successful airline careers. Over the last 40 years, the [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/loyalty-and-revenue-management-super-duo/">Loyalty &#038; Revenue Management &#8211; The Super Duo</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/o438h45fv89j/">Oliver Ranson</a></p>
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		<title>Monetizing Data: How Much is Airline Loyalty Data Worth?</title>
		<link>https://www.traveldatadaily.com/monetizing-data-how-much-is-airline-loyalty-data-worth/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Thu, 14 Nov 2019 09:23:17 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2326</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/monetizing-data-how-much-is-airline-loyalty-data-worth/" title="Monetizing Data: How Much is Airline Loyalty Data Worth?" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2019/11/airline-loyalty-data-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="airline loyalty data" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Successful data-driven airlines typically attribute value of the airline loyalty data they collect within the loyalty program based on the commercial application of that data. That is to say &#8211; how much top-line revenue that data can generate versus what income could be generated without that data. That is why investors, financial analysts and board [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/monetizing-data-how-much-is-airline-loyalty-data-worth/">Monetizing Data: How Much is Airline Loyalty Data Worth?</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Are frequent flyer miles a liability for FFPs?</title>
		<link>https://www.traveldatadaily.com/american-ffp-analysis/</link>
		
		<dc:creator><![CDATA[David Feldman]]></dc:creator>
		<pubDate>Tue, 14 Feb 2017 18:30:37 +0000</pubDate>
				<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[AAdvantage]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1844</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/american-ffp-analysis/" title="Are frequent flyer miles a liability for FFPs?" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/02/american-airlines-new-logo-livery-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Are miles a liability for frequent flyer programs? At the end of 2015, members of the American Airlines AAdvantage program had over 853 BILLION frequent flyer miles outstanding. Those miles represented a total liability of around $2.45 billion. Many folks see this &#8220;debt&#8221; as a threat to the viability of the airline and the frequent [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/american-ffp-analysis/">Are frequent flyer miles a liability for FFPs?</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/dfcatch/">David Feldman</a></p>
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		<title>5 Simple Ways Hotels Use Data To Increase Revenue</title>
		<link>https://www.traveldatadaily.com/5-steps-hotels-increase-revenue/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Wed, 04 Jan 2017 16:22:17 +0000</pubDate>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Hotels]]></category>
		<category><![CDATA[Innovation]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[Start-ups]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[revenue management]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1718</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/5-steps-hotels-increase-revenue/" title="5 Simple Ways Hotels Use Data To Increase Revenue" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/01/38233657_m-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>How hotels use data to drive new revenue In 2017, it&#8217;s clear that the hospitality industry needs to prepare for even more disruptions that will unfold over the coming year. Hotels can use data to remain at the forefront. Airbnb, OTAs, start-ups, big data companies and loyalty program changes will remain the focal points to [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/5-steps-hotels-increase-revenue/">5 Simple Ways Hotels Use Data To Increase Revenue</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Talking Big Data with HotelQuickly</title>
		<link>https://www.traveldatadaily.com/talking-big-data-hotel-quickly/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 18 Dec 2016 16:00:55 +0000</pubDate>
				<category><![CDATA[Hotels]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Interviews]]></category>
		<category><![CDATA[Online Travel Agents]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[Christian Mischler]]></category>
		<category><![CDATA[hotelquickly]]></category>
		<category><![CDATA[interviews]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1674</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/talking-big-data-hotel-quickly/" title="Talking Big Data with HotelQuickly" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/12/3YR_PR_1-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>TravelDataDaily caught up with the Chief Marketing Officer at HotelQuickly, Christian Mischler to talk about being a data-driven technology company, and how their business is leveraging the tools and insights which data can provide. TDD: What is your role at HotelQuickly and what are you responsible for? Christian: I’m co-founder and Chief Marketing Officer. As a co-founder [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/talking-big-data-hotel-quickly/">Talking Big Data with HotelQuickly</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Metrics to measure airline revenue performance</title>
		<link>https://www.traveldatadaily.com/metrics-airline-revenue/</link>
		
		<dc:creator><![CDATA[News]]></dc:creator>
		<pubDate>Fri, 16 Dec 2016 00:00:03 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[Scott Kirby]]></category>
		<category><![CDATA[United Airlines]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1649</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/metrics-airline-revenue/" title="Metrics to measure airline revenue performance" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/12/The-Future-of-Airline-Partnerships-Revenue-from-Technology-Enabled-Interline-Agreements_blog-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Complicated revenue management drives unsatisfactory results, but it doesn’t have to be that way, writes Tom Bacon. Let me start this story with a quote from Scott Kirby, President, United Airlines at the time of the airline&#8217;s Third Quarter Earnings Call, October 2016. &#8220;In July as United was seeing stronger demand and bookings were coming [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/metrics-airline-revenue/">Metrics to measure airline revenue performance</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/news/">News</a></p>
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		<title>Bad Data Costs United Airlines $1B Annually</title>
		<link>https://www.traveldatadaily.com/bad-data-costs-united-airlines-1b-annually/</link>
		
		<dc:creator><![CDATA[News]]></dc:creator>
		<pubDate>Mon, 12 Dec 2016 00:00:30 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[Jeff Smisek]]></category>
		<category><![CDATA[Scott Kirby]]></category>
		<category><![CDATA[United]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1658</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/bad-data-costs-united-airlines-1b-annually/" title="Bad Data Costs United Airlines $1B Annually" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/12/united5-1000x600-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Jeff Smisek once liked to describe United Airlines as a &#8220;technology company with wings.&#8221; What the former CEO didn&#8217;t say was that United was a clunky mainframe badly in need of an update. During a recent presentation to analysts at United&#8217;s headquarters in Willis Tower, Scott Kirby—the airline&#8217;s new president, recently hired from American—called the [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/bad-data-costs-united-airlines-1b-annually/">Bad Data Costs United Airlines $1B Annually</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/news/">News</a></p>
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		<title>How Big Data is Changing The Way We Fly</title>
		<link>https://www.traveldatadaily.com/how-big-data-is-changing-the-way-we-fly/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 30 Oct 2016 15:23:56 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[airlines]]></category>
		<category><![CDATA[big data]]></category>
		<guid isPermaLink="false">http://traveldatadaily.com/?p=217</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/how-big-data-is-changing-the-way-we-fly/" title="How Big Data is Changing The Way We Fly" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/10/42253240_m-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Airline big data, combined with predictive analytics is being used to drive up airline ticket prices. As airlines and their frequent flyer programs gather more intelligence on your day to day lifestyle, flying and financial position &#8211; they begin to build an airline big data profile. Consumer interests, goals, psychometric assessment, your motivations to engage [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/how-big-data-is-changing-the-way-we-fly/">How Big Data is Changing The Way We Fly</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>How hotels can use data to generate new revenue</title>
		<link>https://www.traveldatadaily.com/how-hotels-can-use-data-to-generate-new-revenue/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Wed, 19 Oct 2016 02:25:36 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Hotels]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[big data]]></category>
		<category><![CDATA[small data]]></category>
		<guid isPermaLink="false">http://traveldatadaily.com/?p=242</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/how-hotels-can-use-data-to-generate-new-revenue/" title="How hotels can use data to generate new revenue" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/11/24520716_m-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Hotel revenue management and use of analytics for room sales have remained virtually unchanged for decades since the early 1980s when hotels started looking at yield and how they could optimise the revenue each room could generate. By the mid-1990&#8217;s, Marriott&#8217;s successful execution of revenue management strategies were adding between $150-$200 million in annual revenue [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/how-hotels-can-use-data-to-generate-new-revenue/">How hotels can use data to generate new revenue</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Hotel Big Data Start-up StayAngel Shuts Down &#8211; Hilton loses millions</title>
		<link>https://www.traveldatadaily.com/hotel-big-data-start-up-stayangel-closes-down/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 15 May 2016 02:53:49 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Hotels]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[hilton]]></category>
		<category><![CDATA[start-up]]></category>
		<category><![CDATA[stayangel]]></category>
		<guid isPermaLink="false">http://traveldatadaily.com/?p=260</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/hotel-big-data-start-up-stayangel-closes-down/" title="Hotel Big Data Start-up StayAngel Shuts Down &#8211; Hilton loses millions" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/11/hilton-600-150x150.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Recently, we learned that hotel big data start-up, StayAngel had closed its doors.  This is a piece written by the Founder, Mark Ross-Smith, on why they shut up shop. While ultimately it&#8217;s a series of events which lead to the downfall of any business, and I am under no illusions on other contributing factors which played [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/hotel-big-data-start-up-stayangel-closes-down/">Hotel Big Data Start-up StayAngel Shuts Down &#8211; Hilton loses millions</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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