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    <title>topic Solution Accelerator Series | Real-Time Bidding Optimization in Community Articles</title>
    <link>https://community.databricks.com/t5/community-articles/solution-accelerator-series-real-time-bidding-optimization/m-p/164792#M1399</link>
    <description>&lt;P&gt;&lt;SPAN&gt;In programmatic advertising, the value of an impression depends on whether an ad is viewed by a user. The &lt;/SPAN&gt;&lt;STRONG&gt;Real-Time Bidding Optimization Solution Accelerator&lt;/STRONG&gt;&lt;SPAN&gt; shows how to predict ad viewability and use those insights to optimize bidding strategies, maximize return on ad spend, increase conversions and reach target audiences.&lt;/SPAN&gt;&lt;/P&gt;
&lt;H3&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;With this Accelerator, you get&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/H3&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Ready-to-use resources:&lt;/STRONG&gt; &lt;A href="https://notebooks.databricks.com/notebooks/CME/Real_Time_Bidding/index.html?_ga=2.37742754.322758076.1680856250-1827615147.1680856250&amp;amp;itm_source=www&amp;amp;itm_category=solutions&amp;amp;itm_page=real-time-bidding-optimization&amp;amp;itm_location=body&amp;amp;itm_component=cta-image-block&amp;amp;itm_offer=index.html#Real_Time_Bidding_1.html" target="_blank" rel="noopener"&gt;&lt;SPAN&gt;pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook&lt;/SPAN&gt;&lt;/A&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Predict ad viewability:&lt;/STRONG&gt;&lt;SPAN&gt; use a model to estimate whether an ad is likely to be viewed by a user.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Optimize bidding strategy:&lt;/STRONG&gt;&lt;SPAN&gt; use viewability insights to inform real-time bidding decisions.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Support campaign goals:&lt;/STRONG&gt;&lt;SPAN&gt; work toward maximizing return on ad spend, increasing conversions and reaching target audiences.&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/real-time-bidding-optimization?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=real-time-bidding-optimization" target="_blank" rel="noopener"&gt; &lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt; Launch Solution Accelerator &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_left:"&gt;👈&lt;/span&gt;&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 04 Aug 2026 10:37:42 GMT</pubDate>
    <dc:creator>Tushar_Parekar</dc:creator>
    <dc:date>2026-08-04T10:37:42Z</dc:date>
    <item>
      <title>Solution Accelerator Series | Real-Time Bidding Optimization</title>
      <link>https://community.databricks.com/t5/community-articles/solution-accelerator-series-real-time-bidding-optimization/m-p/164792#M1399</link>
      <description>&lt;P&gt;&lt;SPAN&gt;In programmatic advertising, the value of an impression depends on whether an ad is viewed by a user. The &lt;/SPAN&gt;&lt;STRONG&gt;Real-Time Bidding Optimization Solution Accelerator&lt;/STRONG&gt;&lt;SPAN&gt; shows how to predict ad viewability and use those insights to optimize bidding strategies, maximize return on ad spend, increase conversions and reach target audiences.&lt;/SPAN&gt;&lt;/P&gt;
&lt;H3&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;With this Accelerator, you get&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/H3&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Ready-to-use resources:&lt;/STRONG&gt; &lt;A href="https://notebooks.databricks.com/notebooks/CME/Real_Time_Bidding/index.html?_ga=2.37742754.322758076.1680856250-1827615147.1680856250&amp;amp;itm_source=www&amp;amp;itm_category=solutions&amp;amp;itm_page=real-time-bidding-optimization&amp;amp;itm_location=body&amp;amp;itm_component=cta-image-block&amp;amp;itm_offer=index.html#Real_Time_Bidding_1.html" target="_blank" rel="noopener"&gt;&lt;SPAN&gt;pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook&lt;/SPAN&gt;&lt;/A&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Predict ad viewability:&lt;/STRONG&gt;&lt;SPAN&gt; use a model to estimate whether an ad is likely to be viewed by a user.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Optimize bidding strategy:&lt;/STRONG&gt;&lt;SPAN&gt; use viewability insights to inform real-time bidding decisions.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Support campaign goals:&lt;/STRONG&gt;&lt;SPAN&gt; work toward maximizing return on ad spend, increasing conversions and reaching target audiences.&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/real-time-bidding-optimization?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=real-time-bidding-optimization" target="_blank" rel="noopener"&gt; &lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt; Launch Solution Accelerator &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_left:"&gt;👈&lt;/span&gt;&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 04 Aug 2026 10:37:42 GMT</pubDate>
      <guid>https://community.databricks.com/t5/community-articles/solution-accelerator-series-real-time-bidding-optimization/m-p/164792#M1399</guid>
      <dc:creator>Tushar_Parekar</dc:creator>
      <dc:date>2026-08-04T10:37:42Z</dc:date>
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