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	<title>Insights Archives - Travel Data Daily</title>
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	<link>https://www.traveldatadaily.com/category/big-data/business-intelligence/insights/</link>
	<description>For Travel Industry Loyalty Professionals</description>
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	<title>Insights Archives - Travel Data Daily</title>
	<link>https://www.traveldatadaily.com/category/big-data/business-intelligence/insights/</link>
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	<item>
		<title>Leadership Interview &#8211; Building Data Science Teams</title>
		<link>https://www.traveldatadaily.com/leadership-interview-jeremy-adamson-westjet/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sat, 14 Aug 2021 15:03:03 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Interviews]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[Jeremy Adamson]]></category>
		<category><![CDATA[Westjet]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2813</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/leadership-interview-jeremy-adamson-westjet/" title="Leadership Interview &#8211; Building Data Science Teams" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2021/08/mind-the-machines-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="Minding the Machines" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" /></a><p>I recently had the pleasure of speaking with Jeremy Adamson, who is the author of the recently launched publication, titled Minding the Machines &#8211; Building and Leading Data Science and Analytics Teams [Available on Amazon]. Jeremy has a strong background in building and leading big data and analytics, teams, and it&#8217;s no surprise that in [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/leadership-interview-jeremy-adamson-westjet/">Leadership Interview &#8211; Building Data Science Teams</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:  Managing Liability, Engagement &#038; Redemptions</title>
		<link>https://www.traveldatadaily.com/liability-engagement-redemptions/</link>
		
		<dc:creator><![CDATA[David Feldman]]></dc:creator>
		<pubDate>Sat, 25 Apr 2020 20:39:23 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Finance]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Interviews]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[David Feldman]]></category>
		<category><![CDATA[James Curry]]></category>
		<category><![CDATA[Jonathan Silver]]></category>
		<category><![CDATA[Len Llaguno]]></category>
		<category><![CDATA[Loyalty Summit]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2487</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/liability-engagement-redemptions/" title="Leadership Interview:  Managing Liability, Engagement &#038; Redemptions" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2020/04/loyalty-fi-man-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="Loyalty Financial Managemnet" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" /></a><p>Some of the hot topics in the loyalty industry right now are Managing Liability, Member Redemptions &#38; Member Engagement. How important is it for Loyalty Programs to strike the right balance between financial and non-financial objectives, and is there a greater purpose which can be served at this time? On this weeks Loyalty Leaders Insights [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/liability-engagement-redemptions/">Leadership Interview:  Managing Liability, Engagement &#038; Redemptions</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>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" loading="lazy" /></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>Shadow Loyalty Members &#8211; The Revenue Hiding in Plane Sight</title>
		<link>https://www.traveldatadaily.com/shadow-loyalty-member/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 02 Feb 2020 17:19:20 +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[Thought Leadership]]></category>
		<category><![CDATA[Travel]]></category>
		<category><![CDATA[emirates]]></category>
		<category><![CDATA[Malaysia Airlines]]></category>
		<category><![CDATA[mastercard]]></category>
		<category><![CDATA[singapore airlines]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2377</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/shadow-loyalty-member/" title="Shadow Loyalty Members &#8211; The Revenue Hiding in Plane Sight" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2020/02/shadow-members-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="shadow member loyalty" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" srcset="https://www.traveldatadaily.com/wp-content/uploads/2020/02/shadow-members-150x150.png 150w, https://www.traveldatadaily.com/wp-content/uploads/2020/02/shadow-members-300x300.png 300w, https://www.traveldatadaily.com/wp-content/uploads/2020/02/shadow-members-418x420.png 418w, https://www.traveldatadaily.com/wp-content/uploads/2020/02/shadow-members.png 639w" sizes="(max-width: 150px) 100vw, 150px" /></a><p>Take a moment to consider the following: Who are the most valuable passengers to the airline? How do the airlines track and measure total passenger loyalty? Today, airline loyalty members represent between 20% and 70% of total pax depending on the airline, and it means there is a significant percentage of passengers who are not [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/shadow-loyalty-member/">Shadow Loyalty Members &#8211; The Revenue Hiding in Plane Sight</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 &#8211; [Part One]</title>
		<link>https://www.traveldatadaily.com/creating-a-new-airline-loyalty-status-tier-part-one/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Thu, 11 Jul 2019 08:38:29 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Customer Experience]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[american airlines]]></category>
		<category><![CDATA[finnair]]></category>
		<category><![CDATA[qantas]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2270</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/creating-a-new-airline-loyalty-status-tier-part-one/" title="Creating a new airline loyalty status tier &#8211; [Part One]" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2019/07/new-loyalty-card-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="new loyalty status tier card" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Creating a new loyalty status tier can make or break loyalty program economics. From both internal and public perception &#8211; new loyalty tiers are exciting! They ooze optimism and are a sign of strength for the loyalty program. In recent years seen a bunch of new airline loyalty tiers hit the market &#8211; including some [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/creating-a-new-airline-loyalty-status-tier-part-one/">Creating a new airline loyalty status tier &#8211; [Part One]</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>Predicting Loyalty Churn &#8211; Cathay Pacific Marco Polo [Case Study]</title>
		<link>https://www.traveldatadaily.com/cathay-pacific-marco-polo-loyalty/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Mon, 03 Jul 2017 17:01:08 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[cathay pacific]]></category>
		<category><![CDATA[marco polo]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1977</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/cathay-pacific-marco-polo-loyalty/" title="Predicting Loyalty Churn &#8211; Cathay Pacific Marco Polo [Case Study]" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/07/Marco-Polo-700x500-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Cathay Pacific Marco Polo loyalty program changes in 2015 could have cost the company over $1B in lost revenue Big data can now predict when a high-value frequent flyer is unhappy with an airline loyalty program and is at greatest risk of switching their business to another carrier, and loyalty program. Cathay Pacific Marco Polo [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/cathay-pacific-marco-polo-loyalty/">Predicting Loyalty Churn &#8211; Cathay Pacific Marco Polo [Case Study]</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>Audience Fragmentation &#8211; Propensity &#038; Behavioural Scoring</title>
		<link>https://www.traveldatadaily.com/propensity-modeling-segmentation/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 23 Apr 2017 19:50:41 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1916</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/propensity-modeling-segmentation/" title="Audience Fragmentation &#8211; Propensity &#038; Behavioural Scoring" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/04/propensity-scoring-traveldatadaily-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="Propensity Modelling - Travel Data Daily" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Audience Fragmentation, also known as behavioural scoring or propensity scoring, is a popular method of descriptive analytics which aims to calculate the likelihood of a user taking a particular action. In my first loyalty segmentation article, I wrote about how to segment frequent flyer loyalty members based on demographics, account profile data and status levels [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/propensity-modeling-segmentation/">Audience Fragmentation &#8211; Propensity &#038; Behavioural Scoring</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>Stop Chasing Millennials.  Instead, use data to drive marketing</title>
		<link>https://www.traveldatadaily.com/stop-chasing-millennials-instead-use-data-to-drive-marketing/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Mon, 17 Apr 2017 15:29:23 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[zoomdata]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1903</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/stop-chasing-millennials-instead-use-data-to-drive-marketing/" title="Stop Chasing Millennials.  Instead, use data to drive marketing" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/04/millennials-no-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Some companies continue to chase millennials. Instead, using data to drive marketing could have much more effective results while reducing costs. It is amazing how many large companies talk about how they are boosting their efforts to capture the attention of millennials. &#8220;We need to tap into the millennials&#8221; and &#8220;How can we improve our [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/stop-chasing-millennials-instead-use-data-to-drive-marketing/">Stop Chasing Millennials.  Instead, use data to drive marketing</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 Big Data Is Driving Loyalty Program Revenue</title>
		<link>https://www.traveldatadaily.com/big-data-loyalty-programs/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Mon, 20 Mar 2017 19:00:26 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[data science]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1866</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/big-data-loyalty-programs/" title="How Big Data Is Driving Loyalty Program Revenue" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2018/03/60123435_m-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>It&#8217;s often thought that loyalty programs are designed to reward customers with special offers, treats, and discounts in the hope of retaining their business and encouraging customers to spend more frequently. While there is some truth to this &#8211; a new generation of sophisticated loyalty program engineering is emerging. These new programs are driven by [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/big-data-loyalty-programs/">How Big Data Is Driving Loyalty Program 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>Creating a 360-degree customer view using big data</title>
		<link>https://www.traveldatadaily.com/360-degree-customer-view-data/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 08 Jan 2017 19:00:56 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[360-degree customer view]]></category>
		<category><![CDATA[Bernard Marr]]></category>
		<category><![CDATA[Hotels]]></category>
		<category><![CDATA[share of wallet]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1792</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/360-degree-customer-view-data/" title="Creating a 360-degree customer view using big data" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/01/44205844_m-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>With a 360-degree customer view, your company will drive up profits. How valuable would it be to know everything about your customer&#8217;s interactions with your competition? Creating a 360-degree customer view is considered the holy grail of customer intelligence, and you can create it, today. Would you like to know how much they&#8217;re spending, when [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/360-degree-customer-view-data/">Creating a 360-degree customer view using big 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>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>How Big Data Helps Boost Marketing Conversion Rates</title>
		<link>https://www.traveldatadaily.com/how-big-data-helps-boost-marketing-conversion-rates/</link>
		
		<dc:creator><![CDATA[News]]></dc:creator>
		<pubDate>Sun, 25 Dec 2016 18:00:43 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[marketing]]></category>
		<category><![CDATA[smartdatacollective]]></category>
		<guid isPermaLink="false">http://www.traveldatadaily.com/?p=1620</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/how-big-data-helps-boost-marketing-conversion-rates/" title="How Big Data Helps Boost Marketing Conversion Rates" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/12/mobile-ppc-pay-per-click-tablet-ss-1920-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Today, the marketing industry is permanently connected to technological innovation. The many new resources and techniques continuously entering the marketplace mean that advertisers have no shortage of new methods for attracting buyers and boosting sales conversions. Big data is one of these developments, and it has the potential to transform the manner in which advertising [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/how-big-data-helps-boost-marketing-conversion-rates/">How Big Data Helps Boost Marketing Conversion Rates</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>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>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>3 Charts Showing Growth of Short-Term Rentals vs. Hotel Online Bookings</title>
		<link>https://www.traveldatadaily.com/charts-short-term-vs-hotel-booking/</link>
		
		<dc:creator><![CDATA[News]]></dc:creator>
		<pubDate>Sun, 04 Dec 2016 06:00:56 +0000</pubDate>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Hotels]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[airbnb]]></category>
		<category><![CDATA[skift]]></category>
		<guid isPermaLink="false">http://www.traveldatadaily.com/?p=1614</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/charts-short-term-vs-hotel-booking/" title="3 Charts Showing Growth of Short-Term Rentals vs. Hotel Online Bookings" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/11/Short-Term-Accommodation-in-France-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>There’s no question short-term rentals made a splash around the world this year — mainly from the likes of Airbnb — even amidst the backdrop of ongoing regulatory battles, discrimination debates, and fresh product lauches aimed at owning more of travelers’ trips. As of March, some 32 of the 59 largest U.S. cities (54 percent), for example, had [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/charts-short-term-vs-hotel-booking/">3 Charts Showing Growth of Short-Term Rentals vs. Hotel Online Bookings</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>Google reveals how travelers use their smartphone</title>
		<link>https://www.traveldatadaily.com/google-report-travel-smartphone/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sat, 03 Dec 2016 00:00:28 +0000</pubDate>
				<category><![CDATA[Insights]]></category>
		<category><![CDATA[Mobile]]></category>
		<category><![CDATA[google]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1627</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/google-report-travel-smartphone/" title="Google reveals how travelers use their smartphone" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/12/33488067_m-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>In today’s mobile-first world, people turn to their phones regularly to help make travel decisions. In a new report, Google shares insight into the role our phones play in making travel decisions. Key findings: 1. Smartphones are travel guides. More than half of smartphone users turn to their device in I-want-to-go moments. Most often, they’re [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/google-report-travel-smartphone/">Google reveals how travelers use their smartphone</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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