<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Adobe Summit 2019 | S122 - Cohort Analysis: Your New Secret Weapon in Journey Analytics in Adobe Analytics Discussions</title>
    <link>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/adobe-summit-2019-s122-cohort-analysis-your-new-secret-weapon-in/m-p/312679#M2339</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="Summit2018.jpg"&gt;&lt;img src="https://experienceleaguecommunities.adobe.com/t5/image/serverpage/image-id/16115i0A88A64C5A8D7676/image-size/large?v=v2&amp;amp;px=999" role="button" title="Summit2018.jpg" alt="Summit2018.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;H3&gt;Session Details&lt;/H3&gt;&lt;P&gt;Customer retention is critical to the success of any business. Cohort analysis is one of the most powerful ways to analyze and understand user behavior to maximize customer retention. You can now use cohort analysis to address user churn by identifying areas of opportunity to mitigate future loss of engagement. You can also perform pre- and post-analysis to track user retention based on key events.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Highlights:&lt;/H3&gt;&lt;UL&gt;&lt;LI&gt;The importance of customer retention and why you want to use cohort analysis on a regular basis&lt;/LI&gt;&lt;LI&gt;How to analyze user retention beyond acquisition date using any dimension to build specific and targeted cohorts&lt;/LI&gt;&lt;LI&gt;How to use pre- and post-analysis to identify key inflection points affecting retention&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Speaker(s)&lt;/H3&gt;&lt;P&gt;&lt;SPAN class="speaker-trigger" data-test="speaker-trigger"&gt;Travis Sabin&lt;/SPAN&gt;, Senior Product Manager, Adobe&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Session Length&lt;/H3&gt;&lt;P&gt;1h&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Catalog Link&lt;/H3&gt;&lt;P&gt;&lt;A href="https://events.rainfocus.com/widget/adobe/as19/sessioncatalog?search=S122"&gt;S122 - Cohort Analysis: Your New Secret Weapon in Journey Analytics&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H2&gt;Recording&lt;/H2&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="S122.png"&gt;&lt;img src="https://experienceleaguecommunities.adobe.com/t5/image/serverpage/image-id/16117i9BFCF0E1D6FFED92/image-size/large?v=v2&amp;amp;px=999" role="button" title="S122.png" alt="S122.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H2&gt;Presentation&lt;/H2&gt;&lt;P&gt;See attachments&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H2&gt;Q&amp;amp;A&lt;/H2&gt;&lt;P&gt;Please use this thread to ask the question related to this session.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 08 Feb 2019 17:39:06 GMT</pubDate>
    <dc:creator>jantzen_b</dc:creator>
    <dc:date>2019-02-08T17:39:06Z</dc:date>
    <item>
      <title>Adobe Summit 2019 | S122 - Cohort Analysis: Your New Secret Weapon in Journey Analytics</title>
      <link>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/adobe-summit-2019-s122-cohort-analysis-your-new-secret-weapon-in/m-p/312679#M2339</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="Summit2018.jpg"&gt;&lt;img src="https://experienceleaguecommunities.adobe.com/t5/image/serverpage/image-id/16115i0A88A64C5A8D7676/image-size/large?v=v2&amp;amp;px=999" role="button" title="Summit2018.jpg" alt="Summit2018.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;H3&gt;Session Details&lt;/H3&gt;&lt;P&gt;Customer retention is critical to the success of any business. Cohort analysis is one of the most powerful ways to analyze and understand user behavior to maximize customer retention. You can now use cohort analysis to address user churn by identifying areas of opportunity to mitigate future loss of engagement. You can also perform pre- and post-analysis to track user retention based on key events.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Highlights:&lt;/H3&gt;&lt;UL&gt;&lt;LI&gt;The importance of customer retention and why you want to use cohort analysis on a regular basis&lt;/LI&gt;&lt;LI&gt;How to analyze user retention beyond acquisition date using any dimension to build specific and targeted cohorts&lt;/LI&gt;&lt;LI&gt;How to use pre- and post-analysis to identify key inflection points affecting retention&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Speaker(s)&lt;/H3&gt;&lt;P&gt;&lt;SPAN class="speaker-trigger" data-test="speaker-trigger"&gt;Travis Sabin&lt;/SPAN&gt;, Senior Product Manager, Adobe&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Session Length&lt;/H3&gt;&lt;P&gt;1h&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Catalog Link&lt;/H3&gt;&lt;P&gt;&lt;A href="https://events.rainfocus.com/widget/adobe/as19/sessioncatalog?search=S122"&gt;S122 - Cohort Analysis: Your New Secret Weapon in Journey Analytics&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H2&gt;Recording&lt;/H2&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="S122.png"&gt;&lt;img src="https://experienceleaguecommunities.adobe.com/t5/image/serverpage/image-id/16117i9BFCF0E1D6FFED92/image-size/large?v=v2&amp;amp;px=999" role="button" title="S122.png" alt="S122.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H2&gt;Presentation&lt;/H2&gt;&lt;P&gt;See attachments&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H2&gt;Q&amp;amp;A&lt;/H2&gt;&lt;P&gt;Please use this thread to ask the question related to this session.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 08 Feb 2019 17:39:06 GMT</pubDate>
      <guid>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/adobe-summit-2019-s122-cohort-analysis-your-new-secret-weapon-in/m-p/312679#M2339</guid>
      <dc:creator>jantzen_b</dc:creator>
      <dc:date>2019-02-08T17:39:06Z</dc:date>
    </item>
  </channel>
</rss>

