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    <title>topic Solution Accelerator Series | Media Mix Modeling (MMM) in Announcements</title>
    <link>https://community.databricks.com/t5/announcements/solution-accelerator-series-media-mix-modeling-mmm/m-p/157249#M813</link>
    <description>&lt;P&gt;&lt;SPAN&gt;In today’s media landscape, it can be difficult to know which marketing channels are driving results. The &lt;/SPAN&gt;&lt;STRONG&gt;Media Mix Modeling (MMM) Solution Accelerator&lt;/STRONG&gt;&lt;SPAN&gt; helps organizations bring together data from channels such as TV, social media and email marketing to measure effectiveness, simulate scenarios and use historical data to support media spend decisions.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;With this Accelerator, you get&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Ready-to-use resources:&lt;/STRONG&gt;&lt;A href="https://d1r5llqwmkrl74.cloudfront.net/notebooks/CME/media-mix-modeling/index.html?itm_source=www&amp;amp;itm_category=solutions&amp;amp;itm_page=media-mix-modeling&amp;amp;itm_location=body&amp;amp;itm_component=large-header#media-mix-modeling_1.html" target="_blank"&gt; &lt;STRONG&gt;pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook&lt;/STRONG&gt;&lt;/A&gt;&lt;/LI&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Unify channel data: &lt;/STRONG&gt;&lt;SPAN&gt;bring together data from channels such as TV, social media, email marketing and more.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Measure effectiveness: &lt;/STRONG&gt;&lt;SPAN&gt;identify which channels are driving the most engagement, sales or revenue.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Test scenarios: &lt;/STRONG&gt;&lt;SPAN&gt;simulate different channel mixes so teams can adjust marketing inputs based on business goals.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Optimize spend allocation: &lt;/STRONG&gt;&lt;SPAN&gt;use historical data to support media spend decisions around specific scenarios.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P class="p8i6j01 paragraph"&gt;&lt;A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/solutions/accelerators/media-mix-modeling?itm_source=www&amp;amp;itm_category=solutions&amp;amp;itm_page=accelerators&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=media-mix-modeling" target="_blank" rel="noopener"&gt;&lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt;&amp;nbsp;Launch Solution Accelerator&amp;nbsp;&lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_left:"&gt;👈&lt;/span&gt;&lt;/A&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 19 May 2026 12:23:52 GMT</pubDate>
    <dc:creator>Tushar_Parekar</dc:creator>
    <dc:date>2026-05-19T12:23:52Z</dc:date>
    <item>
      <title>Solution Accelerator Series | Media Mix Modeling (MMM)</title>
      <link>https://community.databricks.com/t5/announcements/solution-accelerator-series-media-mix-modeling-mmm/m-p/157249#M813</link>
      <description>&lt;P&gt;&lt;SPAN&gt;In today’s media landscape, it can be difficult to know which marketing channels are driving results. The &lt;/SPAN&gt;&lt;STRONG&gt;Media Mix Modeling (MMM) Solution Accelerator&lt;/STRONG&gt;&lt;SPAN&gt; helps organizations bring together data from channels such as TV, social media and email marketing to measure effectiveness, simulate scenarios and use historical data to support media spend decisions.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;With this Accelerator, you get&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Ready-to-use resources:&lt;/STRONG&gt;&lt;A href="https://d1r5llqwmkrl74.cloudfront.net/notebooks/CME/media-mix-modeling/index.html?itm_source=www&amp;amp;itm_category=solutions&amp;amp;itm_page=media-mix-modeling&amp;amp;itm_location=body&amp;amp;itm_component=large-header#media-mix-modeling_1.html" target="_blank"&gt; &lt;STRONG&gt;pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook&lt;/STRONG&gt;&lt;/A&gt;&lt;/LI&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Unify channel data: &lt;/STRONG&gt;&lt;SPAN&gt;bring together data from channels such as TV, social media, email marketing and more.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Measure effectiveness: &lt;/STRONG&gt;&lt;SPAN&gt;identify which channels are driving the most engagement, sales or revenue.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Test scenarios: &lt;/STRONG&gt;&lt;SPAN&gt;simulate different channel mixes so teams can adjust marketing inputs based on business goals.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Optimize spend allocation: &lt;/STRONG&gt;&lt;SPAN&gt;use historical data to support media spend decisions around specific scenarios.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P class="p8i6j01 paragraph"&gt;&lt;A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/solutions/accelerators/media-mix-modeling?itm_source=www&amp;amp;itm_category=solutions&amp;amp;itm_page=accelerators&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=media-mix-modeling" target="_blank" rel="noopener"&gt;&lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt;&amp;nbsp;Launch Solution Accelerator&amp;nbsp;&lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_left:"&gt;👈&lt;/span&gt;&lt;/A&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 19 May 2026 12:23:52 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/solution-accelerator-series-media-mix-modeling-mmm/m-p/157249#M813</guid>
      <dc:creator>Tushar_Parekar</dc:creator>
      <dc:date>2026-05-19T12:23:52Z</dc:date>
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