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	<title>CRM Archives - Travel Data Daily</title>
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	<link>https://www.traveldatadaily.com/category/big-data/crm/</link>
	<description>For Travel Industry Loyalty Professionals</description>
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	<title>CRM Archives - Travel Data Daily</title>
	<link>https://www.traveldatadaily.com/category/big-data/crm/</link>
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		<title>Rethinking Elite Status Downgrades</title>
		<link>https://www.traveldatadaily.com/rethinking-elite-status-downgrades/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Tue, 27 May 2025 17:23:33 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Hotel Loyalty Programs]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2886</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/rethinking-elite-status-downgrades/" title="Rethinking Elite Status Downgrades" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2025/05/plane-sky-flight-clouds-compressor-150x150.webp" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" /></a><p>Losing elite status in an airline or hotel loyalty program doesn’t mean a member is done travelling—or done with your brand. Too often, brands treat every downgraded member the same, missing a critical opportunity to retain high-value customers. By understanding the distinct profiles of downgraded elites, loyalty programs can tailor retention strategies to keep the [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/rethinking-elite-status-downgrades/">Rethinking Elite Status Downgrades</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>The Magic of Loyalty</title>
		<link>https://www.traveldatadaily.com/the-magic-of-loyalty/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sat, 27 Feb 2021 20:50:20 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Customer Experience]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Innovation]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[Travel]]></category>
		<category><![CDATA[Malaysia Airlines]]></category>
		<category><![CDATA[qantas]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2751</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/the-magic-of-loyalty/" title="The Magic of Loyalty" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2021/02/loyalty-cloud-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="the magic of loyalty" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" /></a><p>The magic of loyalty is something we&#8217;ve all experienced in our lifetimes, and yet, few of us can articulate that powerful feeling while linking it back in a business context. The magic of loyalty cannot be explained with numbers. Like falling in love &#8211; the magic of loyalty is a moment in time that you [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/the-magic-of-loyalty/">The Magic of Loyalty</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>Leadership Interview:  Qatar Airways &#038; Mastercard on Monetizing Data</title>
		<link>https://www.traveldatadaily.com/leadership-interview-qatar-airways-mastercard-on-monetizing-data/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Thu, 28 May 2020 19:00:32 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Interviews]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Christian Hylander]]></category>
		<category><![CDATA[Dianne Robillos]]></category>
		<category><![CDATA[Loyalty Data Co]]></category>
		<category><![CDATA[mastercard]]></category>
		<category><![CDATA[qatar airways]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2631</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/leadership-interview-qatar-airways-mastercard-on-monetizing-data/" title="Leadership Interview:  Qatar Airways &#038; Mastercard on Monetizing Data" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2020/07/qr-a350-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="Qatar Airways" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Data monetization &#8212; the new loyalty buzzword?! Earlier this week I spoke with top industry experts on loyalty data monetization,  Christian Hylander from Mastercard and Dianne Robillos from Qatar Airways. Airlines and their Loyalty Programs are facing renewed pressure to be the heroes of the airline comeback story &#8212; and rightly so &#8212; airline elite [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/leadership-interview-qatar-airways-mastercard-on-monetizing-data/">Leadership Interview:  Qatar Airways &#038; Mastercard on Monetizing Data</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>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>Creating a new airline loyalty status tier [Part Two]</title>
		<link>https://www.traveldatadaily.com/creating-a-new-airline-loyalty-status-tier-part-two/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Tue, 16 Jul 2019 07:15:14 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[velocity]]></category>
		<category><![CDATA[virgin australia]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2261</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/creating-a-new-airline-loyalty-status-tier-part-two/" title="Creating a new airline loyalty status tier [Part Two]" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2022/07/new-loyalty-tier-part2-2-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="new elite loyalty tier" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Creating a new airline loyalty status tier &#8211; part two In the previous paper, creating a new airline loyalty status tier &#8211; part one, we looked at loyalty member behaviour challenges and how a new elite tier would be viewed from both the program and member perspective. This article picks up where part one left, [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/creating-a-new-airline-loyalty-status-tier-part-two/">Creating a new airline loyalty status tier [Part Two]</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>Using data intelligence to understand your customers</title>
		<link>https://www.traveldatadaily.com/data-intelligence-understand-your-customers/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 21 Apr 2019 21:25:26 +0000</pubDate>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Customer Experience]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[boxever]]></category>
		<category><![CDATA[business intelligence]]></category>
		<category><![CDATA[cebu pacific]]></category>
		<category><![CDATA[database segmentation]]></category>
		<category><![CDATA[insights]]></category>
		<category><![CDATA[loyalty programs]]></category>
		<category><![CDATA[marketing]]></category>
		<category><![CDATA[understanding customers]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2196</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/data-intelligence-understand-your-customers/" title="Using data intelligence to understand your customers" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2019/04/understand-your-customers-big-data-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="Use data intelligence to understand your customers" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Do you understand your customers? How do airlines identify customer needs? How can loyalty programs use that data to improve customer loyalty? Understanding your customers is more important now than at any other point in the history of the business. Customers have a choice of which brands they want to transact with, and if your [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/data-intelligence-understand-your-customers/">Using data intelligence to understand your customers</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>Measuring Loyalty &#8211; Tracking passengers who fly with competing airlines</title>
		<link>https://www.traveldatadaily.com/loyalty-tracking-passengers-fly-competing-airlines/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 17 Mar 2019 18:14:07 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[Travel]]></category>
		<category><![CDATA[business intelligence]]></category>
		<category><![CDATA[frequent flyer]]></category>
		<category><![CDATA[loyalty programs]]></category>
		<category><![CDATA[mastercard]]></category>
		<category><![CDATA[newworldloyalty]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2075</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/loyalty-tracking-passengers-fly-competing-airlines/" title="Measuring Loyalty &#8211; Tracking passengers who fly with competing airlines" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2019/03/loyal-pax-competing-airlines-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Measuring loyalty success through share of wallet tracking is more powerful than traditional metrics. What would your frequent flyer program do if the most valuable frequent flyer started flying with a direct competitor? Does the program know how much share of wallet is being captured? Which tracking tools does the program have set-up to send [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/loyalty-tracking-passengers-fly-competing-airlines/">Measuring Loyalty &#8211; Tracking passengers who fly with competing airlines</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 airline loyalty programs use big data to drive new revenue</title>
		<link>https://www.traveldatadaily.com/how-airlines-hotels-profit-from-your-data/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Thu, 27 Dec 2018 20:38:30 +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[Frequent Flyer Programs]]></category>
		<category><![CDATA[Hotel Loyalty Programs]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2059</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/how-airlines-hotels-profit-from-your-data/" title="How airline loyalty programs use big data to drive new revenue" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2018/03/data-loyalty2-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>How airline loyalty programs use big data to drive new revenue The past few years have seen a wave of travel companies member accounts compromised which have rocked the industry. Cathay Pacific had 9.4M accounts compromised. British Airways had 380,000 card payments breached. Raddison hotels had up to 10% loyalty program accounts compromised. Hyatt twice [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/how-airlines-hotels-profit-from-your-data/">How airline loyalty programs use big data to drive 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>Talking Data with Hilton:  Jonathon Wardman, Vice President CRM</title>
		<link>https://www.traveldatadaily.com/talking-data-hilton-vp-crm/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Thu, 19 Jan 2017 01:59:18 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Interviews]]></category>
		<category><![CDATA[crm]]></category>
		<category><![CDATA[hilton]]></category>
		<category><![CDATA[jonathon wardman]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1802</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/talking-data-hilton-vp-crm/" title="Talking Data with Hilton:  Jonathon Wardman, Vice President CRM" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/01/HiltonSchipholFacade_HR-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>This month in Talking Data, Travel Data Daily spoke with Jonathon Wardman, Vice President CRM at Hilton about hotel guest data, how Hilton is leveraging the use of data, and the success of the much publicized Stop Clicking Around campaign. Jonathon has been with Hilton for over 10 years in business technology roles. For much of [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/talking-data-hilton-vp-crm/">Talking Data with Hilton:  Jonathon Wardman, Vice President CRM</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>Dark Data: The billion dollar opportunity</title>
		<link>https://www.traveldatadaily.com/dark-data-travel-companies/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Tue, 13 Dec 2016 23:00:27 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[dark data]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1665</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/dark-data-travel-companies/" title="Dark Data: The billion dollar opportunity" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/12/36189977_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 can airlines, hotels, and travel companies leverage dark data capabilities? Every organization collects, stores and retains portions of dark data. It&#8217;s the digital equivalent of emotional baggage which hangs around after every user interaction, transaction, and customer engagement. In fact, not using data effectively is costing United Airlines almost $1 Billion annually in lost [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/dark-data-travel-companies/">Dark Data: The billion dollar opportunity</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>Ensuring CRM Data Is Fit For Purpose</title>
		<link>https://www.traveldatadaily.com/crm-data-fit-for-purpose/</link>
		
		<dc:creator><![CDATA[News]]></dc:creator>
		<pubDate>Thu, 01 Dec 2016 00:00:49 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[crm]]></category>
		<guid isPermaLink="false">http://www.traveldatadaily.com/?p=422</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/crm-data-fit-for-purpose/" title="Ensuring CRM Data Is Fit For Purpose" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/11/fast_data_brain_tree-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>&#160; In a recent blog post we discussed the importance of data quality. In this post, we provide you with seven ways you can improve the quality of your data and ensure it is fit for purpose. Continually improving the quality of your data is essential to remain ahead of your competition. Failure to keep [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/crm-data-fit-for-purpose/">Ensuring CRM Data Is Fit For Purpose</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>Segmenting frequent flyer loyalty member databases</title>
		<link>https://www.traveldatadaily.com/segmenting-frequent-flyer-loyalty-member-databases/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sat, 19 Nov 2016 02:35:40 +0000</pubDate>
				<category><![CDATA[Airlines]]></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[database segmentation]]></category>
		<guid isPermaLink="false">http://traveldatadaily.com/?p=248</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/segmenting-frequent-flyer-loyalty-member-databases/" title="Segmenting frequent flyer loyalty member databases" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/11/@FFP_Segment_Hero_Image-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Step by step guide on segmenting frequent flyer member databases. Want to dive deeper than traditional segmenting? Check out my other article on Propensity Modeling and Advanced Segmentation. Customer micro-segmentation is without a doubt one of the most robust methods for extracting value from your database, and a must for every frequent flyer loyalty program. [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/segmenting-frequent-flyer-loyalty-member-databases/">Segmenting frequent flyer loyalty member databases</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>Commercializing frequent flyer program member data</title>
		<link>https://www.traveldatadaily.com/commercialising-frequent-flyer-program-member-data/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Fri, 30 Sep 2016 02:31:07 +0000</pubDate>
				<category><![CDATA[Airlines]]></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[Loyalty Programs]]></category>
		<category><![CDATA[business intelligence]]></category>
		<category><![CDATA[travel data]]></category>
		<guid isPermaLink="false">http://traveldatadaily.com/?p=245</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/commercialising-frequent-flyer-program-member-data/" title="Commercializing frequent flyer program member data" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/11/101811244-493985031.530x298-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>I recently shared an article on how airlines are using information to individually price airfares and extract maximum value from passengers which was thought provoking and insightful for many aviation industry, business intelligence and travel data professionals. With all the overwhelming feedback and questions I received, I wanted to dig deeper into the big data [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/commercialising-frequent-flyer-program-member-data/">Commercializing frequent flyer program member data</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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