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    <title>topic Re: Marketing Analytics Dashboard | Customer Segmentation, Campaign &amp;amp; Channel Analysis in Data Stories Gallery</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Marketing-Analytics-Dashboard-Customer-Segmentation-Campaign-amp/m-p/5193461#M16253</link>
    <description>&lt;P&gt;dashoboard is very descriptive and nicely done with absolutely stunning use of color palette. Nice job!&lt;span class="lia-unicode-emoji" title=":clapping_hands:"&gt;👏&lt;/span&gt;&lt;span class="lia-unicode-emoji" title=":party_popper:"&gt;🎉&lt;/span&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 05 Jun 2026 04:50:37 GMT</pubDate>
    <dc:creator>TharushiSandeep</dc:creator>
    <dc:date>2026-06-05T04:50:37Z</dc:date>
    <item>
      <title>Marketing Analytics Dashboard | Customer Segmentation, Campaign &amp; Channel Analysis</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Marketing-Analytics-Dashboard-Customer-Segmentation-Campaign-amp/m-p/5192457#M16244</link>
      <description>&lt;P&gt;&lt;FONT size="5" color="#008080"&gt;Project Overview&lt;/FONT&gt;&lt;BR /&gt;This Power BI dashboard analyzes customer behavior and marketing performance using the iFood Customer Data dataset. The report consists of three interactive pages: an Analytics Overview dashboard, a Customer Segmentation Analysis dashboard, and a Campaign &amp;amp; Channel Analysis dashboard.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;FONT size="4" color="#008080"&gt;&lt;STRONG&gt;1. Analytics Overview&lt;/STRONG&gt;&lt;/FONT&gt;&lt;BR /&gt;The main dashboard provides a high-level summary of marketing performance and customer purchasing behavior.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Features:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Total customer spending and average spending metrics&lt;/LI&gt;&lt;LI&gt;Campaign acceptance rate&lt;/LI&gt;&lt;LI&gt;Web purchase ratio&lt;/LI&gt;&lt;LI&gt;Spending distribution across product categories&lt;/LI&gt;&lt;LI&gt;Purchase channel distribution&lt;/LI&gt;&lt;LI&gt;Income vs. spending analysis&lt;/LI&gt;&lt;LI&gt;Customer segment and education-level spending insights&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;img /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;This page acts as the central analytical hub of the report. It enables stakeholders to quickly evaluate overall marketing effectiveness, identify top-performing product categories, and analyze customer purchasing trends across different channels.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;&lt;FONT color="#008080"&gt;2. Customer Segmentation Analysis&lt;/FONT&gt;&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Features:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Spending analysis by age group&lt;/LI&gt;&lt;LI&gt;Spending patterns by marital status and education level&lt;/LI&gt;&lt;LI&gt;Customer demographic segmentation&lt;/LI&gt;&lt;LI&gt;Channel preference distribution across customer groups&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;img /&gt;&lt;/P&gt;&lt;P&gt;This dashboard focuses on customer demographics and behavioral segmentation. It helps identify which customer groups contribute the most revenue and how purchasing behavior varies among segments.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;&lt;FONT color="#008080"&gt;3. Campaign &amp;amp; Channel Analysis&lt;/FONT&gt;&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Features:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Campaign acceptance rate comparison&lt;/LI&gt;&lt;LI&gt;Purchase channel performance analysis&lt;/LI&gt;&lt;LI&gt;Web purchases versus website visits by age group&lt;/LI&gt;&lt;LI&gt;Campaign response analysis across customer segments&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;img /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;This page evaluates marketing campaign effectiveness and customer interaction across purchase channels. It assists in measuring campaign engagement and identifying the most effective communication channels.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;&lt;FONT color="#008080"&gt;4. Other Features&lt;/FONT&gt;&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT color="#003366"&gt;&lt;EM&gt;a) Customer Insights - Tooltip 1&lt;/EM&gt;&lt;/FONT&gt;&lt;BR /&gt;&lt;STRONG&gt;Displays:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Average Customer Spending&lt;/LI&gt;&lt;LI&gt;Total Spending&lt;/LI&gt;&lt;LI&gt;Campaign Acceptance Rate&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;img /&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT color="#003366"&gt;&lt;EM&gt;b) Campaign Insights - Tooltip 2&lt;/EM&gt;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Displays:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Total Accepted Campaigns&lt;/LI&gt;&lt;LI&gt;Campaign Acceptance Rate&lt;/LI&gt;&lt;LI&gt;Campaign-wise performance metrics&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;img /&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT color="#003366"&gt;&lt;EM&gt;c) Slicer Panel&lt;/EM&gt;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;An interactive slicer panel was added to the main dashboard for dynamic filtering.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Included Filters:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Age&lt;/LI&gt;&lt;LI&gt;Education Level&lt;/LI&gt;&lt;LI&gt;Marital Status&lt;/LI&gt;&lt;LI&gt;Customer Segment&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;STRONG&gt;Additional Features:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Clear Filters button&lt;/LI&gt;&lt;LI&gt;Open/Close slicer panel navigation&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;img /&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT size="5" color="#008080"&gt;Key Insights&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;The dashboard reveals customer spending patterns, campaign acceptance rates, purchase channel preferences, demographic segmentation, income-versus-spending relationships, and overall marketing effectiveness. These insights help identify high-value customer segments, evaluate campaign performance, and support data-driven marketing decisions.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&lt;FONT color="#000000"&gt;Tools &amp;amp; Technologies:&lt;/FONT&gt;&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Microsoft Power BI&lt;/LI&gt;&lt;LI&gt;Power Query&lt;/LI&gt;&lt;LI&gt;DAX&lt;/LI&gt;&lt;LI&gt;Data Modeling&lt;/LI&gt;&lt;LI&gt;Interactive Visualizations&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;STRONG&gt;Links to the dataset:&amp;nbsp;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.kaggle.com/datasets/fayez7/ifood-marketing-campaigns" target="_blank" rel="noopener"&gt;https://www.kaggle.com/datasets/fayez7/ifood-marketing-campaigns&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://github.com/npradaschnor/ifood_Case/blob/master/ml_project1_data.csv" target="_blank" rel="noopener"&gt;https://github.com/npradaschnor/ifood_Case/blob/master/ml_project1_data.csv&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://github.com/nailson/ifood-data-business-analyst-test/blob/master/ifood_df.csv" target="_blank" rel="noopener"&gt;https://github.com/nailson/ifood-data-business-analyst-test/blob/master/ifood_df.csv&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Find my GitHub repository:&lt;/STRONG&gt;&amp;nbsp;&lt;A href="https://github.com/NirmaliePerera/Dashboard_with_Power_BI-Marketing_Analytics.git" target="_blank" rel="noopener"&gt;https://github.com/NirmaliePerera/Dashboard_with_Power_BI-Marketing_Analytics.git&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN class="reportid hidden"&gt;eyJrIjoiNWVjMjIwNDUtN2IyZC00YmQzLWE1OGEtNTJhODRiNGFkNjRiIiwidCI6ImNhM2Y0ZTc1LWM2OWMtNDkwNi1iZGRjLWYwMjdhZjVhMTFmYyIsImMiOjEwfQ%3D%3D&amp;amp;embedImagePlaceholder=true&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 15 Sep 2026 10:07:46 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Marketing-Analytics-Dashboard-Customer-Segmentation-Campaign-amp/m-p/5192457#M16244</guid>
      <dc:creator>NirmaliePerera</dc:creator>
      <dc:date>2026-09-15T10:07:46Z</dc:date>
    </item>
    <item>
      <title>Re: Marketing Analytics Dashboard | Customer Segmentation, Campaign &amp; Channel Analysis</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Marketing-Analytics-Dashboard-Customer-Segmentation-Campaign-amp/m-p/5193461#M16253</link>
      <description>&lt;P&gt;dashoboard is very descriptive and nicely done with absolutely stunning use of color palette. Nice job!&lt;span class="lia-unicode-emoji" title=":clapping_hands:"&gt;👏&lt;/span&gt;&lt;span class="lia-unicode-emoji" title=":party_popper:"&gt;🎉&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 05 Jun 2026 04:50:37 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Marketing-Analytics-Dashboard-Customer-Segmentation-Campaign-amp/m-p/5193461#M16253</guid>
      <dc:creator>TharushiSandeep</dc:creator>
      <dc:date>2026-06-05T04:50:37Z</dc:date>
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