<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>database segmentation Archives - Travel Data Daily</title>
	<atom:link href="https://www.traveldatadaily.com/tag/database-segmentation/feed/" rel="self" type="application/rss+xml" />
	<link>https://www.traveldatadaily.com/tag/database-segmentation/</link>
	<description>For Travel Industry Loyalty Professionals</description>
	<lastBuildDate>Thu, 25 Mar 2021 16:19:02 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.4.5</generator>

<image>
	<url>https://www.traveldatadaily.com/wp-content/uploads/2016/11/cropped-tdd-logo-trans-1-150x150.png</url>
	<title>database segmentation Archives - Travel Data Daily</title>
	<link>https://www.traveldatadaily.com/tag/database-segmentation/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<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" /></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>
]]></description>
		
		
		
			</item>
		<item>
		<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" /></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>
]]></description>
		
		
		
			</item>
	</channel>
</rss>
