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      <title>IT3 by 강태완</title>
      <link>https://padlet.com/taewan4742/y560b0qd23ywi29p</link>
      <description></description>
      <language>en-us</language>
      <pubDate>2025-10-14 05:04:39 UTC</pubDate>
      <lastBuildDate>2025-10-14 05:23:22 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <url></url>
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         <title>MIS Department strategy - Esther</title>
         <author>estherimoowo</author>
         <link>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631006870</link>
         <description><![CDATA[<p>From the MIS team’s perspective, our main goal is to help the marketing department make data-driven decisions while ensuring that data is collected, stored, and used ethically and efficiently.</p><p><br/></p><p><br/></p>]]></description>
         <enclosure url="" />
         <pubDate>2025-10-14 05:06:27 UTC</pubDate>
         <guid>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631006870</guid>
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      <item>
         <title>personel data</title>
         <author>taewan4742</author>
         <link>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631019823</link>
         <description><![CDATA[<p>using them is okay.</p><p>because if we already got agreement</p>]]></description>
         <enclosure url="" />
         <pubDate>2025-10-14 05:14:20 UTC</pubDate>
         <guid>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631019823</guid>
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      <item>
         <title>what we notice from the data</title>
         <author>estherimoowo</author>
         <link>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631024780</link>
         <description><![CDATA[<ul><li><p>Most customers are in their <strong>20s–30s</strong>, from <strong>Seoul and Gyeonggi</strong> regions.</p></li><li><p>The top <strong>funnels</strong> are “portal ads,” “SNS ads,” and “referrals.”</p></li><li><p><strong>Average unit price</strong> and <strong>sales</strong> vary significantly by <strong>age and funnel source</strong>, suggesting that marketing effectiveness depends heavily on where customers were acquired.</p></li></ul><p><br/></p>]]></description>
         <enclosure url="" />
         <pubDate>2025-10-14 05:17:04 UTC</pubDate>
         <guid>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631024780</guid>
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      <item>
         <title>grouping customers</title>
         <author>taewan4742</author>
         <link>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631025321</link>
         <description><![CDATA[<p>group customers by gender,social group,etc and recommand items group by grouup.</p><p><br/></p>]]></description>
         <enclosure url="" />
         <pubDate>2025-10-14 05:17:24 UTC</pubDate>
         <guid>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631025321</guid>
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      <item>
         <title>New data that could complement this:</title>
         <author>estherimoowo</author>
         <link>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631025740</link>
         <description><![CDATA[<p>Clickstream or website behavior data (to track ad interaction).</p><p>Customer feedback and reviews (for sentiment analysis).</p><p>Loyalty/reward program data to predict retention.</p>]]></description>
         <enclosure url="" />
         <pubDate>2025-10-14 05:17:39 UTC</pubDate>
         <guid>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631025740</guid>
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         <title>Implications from Data (Marketing Information We Can Generate)</title>
         <author>estherimoowo</author>
         <link>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631027237</link>
         <description><![CDATA[<p><br/></p><p>By processing dataset,</p><ul><li><p>Customer segmentation models based on RFM (Recency–Frequency–Monetary).</p></li><li><p>Channel efficiency metrics – for example, SNS ads bring younger users (20s), while referrals attract older, higher-value customers.</p></li><li><p>Regional sales distribution – Seoul and Gyeonggi dominate, suggesting targeted local promotions may be most effective.</p></li><li><p>Gender-based purchasing patterns – Female customers appear to make more frequent purchases, while male customers show higher single-transaction values.</p></li></ul>]]></description>
         <enclosure url="" />
         <pubDate>2025-10-14 05:18:29 UTC</pubDate>
         <guid>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631027237</guid>
      </item>
      <item>
         <title>Feasibility and Ethical Constraints</title>
         <author>estherimoowo</author>
         <link>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631035212</link>
         <description><![CDATA[<p>Feasibility: The data is already structured and ready for analysis; visual dashboards and reports can be generated with Excel or BI tools.</p><p><br/></p><p>Ethical Contraints: </p><ul><li><p>Hack preventation </p></li><li><p>Any new data collected from online behavior must include explicit user consent.</p></li></ul>]]></description>
         <enclosure url="" />
         <pubDate>2025-10-14 05:23:21 UTC</pubDate>
         <guid>https://padlet.com/taewan4742/y560b0qd23ywi29p/wish/3631035212</guid>
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