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    <title>SIMBA Blog — Marketing Mix Modeling</title>
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    <description>Marketing mix modeling insights, Bayesian analytics tutorials, and PyMC-Marketing perspectives from the SIMBA team.</description>
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    <lastBuildDate>Sun, 09 Aug 2026 00:00:00 GMT</lastBuildDate>
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      <title>Brand ROI Isn&apos;t Zero: Long-Term Marketing Measurement with PyMC-Marketing&apos;s VARX Workflow</title>
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      <pubDate>Sun, 09 Aug 2026 00:00:00 GMT</pubDate>
      <description>Standard MMMs score brand ROI near zero. A two-stage workflow, time-varying baseline plus Bayesian VARX, now ships in PyMC-Marketing 1.0. Here&apos;s how it works.</description>
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      <title>PyMC-Marketing 1.0 Is Here: What the Stable API Means for Your MMM</title>
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      <pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate>
      <description>PyMC-Marketing 1.0 ships a stable API, multidimensional MMM by default, and roughly 1.5x faster sampling. What changed, what breaks, and how to upgrade.</description>
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      <title>Half-Life Is the Parameter: A Two-Line Fix for Geometric Adstock</title>
      <link>https://getsimba.ai/blog/half-life-geometric-adstock/</link>
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      <pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate>
      <description>The standard geometric adstock rate means nothing in a marketing meeting. Reparameterize it in half-life units with a two-line change everyone understands.</description>
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      <title>PyMC-Marketing vs Google Meridian: Which MMM Framework Fits Your Team?</title>
      <link>https://getsimba.ai/blog/pymc-marketing-vs-google-meridian/</link>
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      <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
      <description>A practical comparison of PyMC-Marketing and Google Meridian for teams choosing a Bayesian marketing mix modeling workflow.</description>
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      <title>PyMC-Marketing UI: When to Use SIMBA Instead of Python Notebooks</title>
      <link>https://getsimba.ai/blog/pymc-marketing-ui/</link>
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      <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
      <description>When PyMC-Marketing notebooks are enough, when they become hard to operationalize, and where a UI like SIMBA helps business teams use Bayesian MMM.</description>
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      <title>Bayesian MMM Explained: Adstock, Saturation, Priors and Calibration</title>
      <link>https://getsimba.ai/blog/bayesian-mmm-explained/</link>
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      <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
      <description>A plain-English guide to the Bayesian MMM concepts behind channel ROI, response curves, uncertainty, adstock, saturation, priors, and lift-test calibration.</description>
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      <title>How to Prepare Data for Marketing Mix Modeling</title>
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      <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
      <description>A practical checklist for building the weekly dataset your MMM needs: media spend, sales, controls, promotions, external factors, and clean naming.</description>
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      <title>The Marketing Data Problem No One Talks About</title>
      <link>https://getsimba.ai/blog/the-marketing-data-problem/</link>
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      <pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate>
      <description>MMM does not fail because of bad math. It fails because getting clean, consistent data from ten platforms into one place is still a manual nightmare.</description>
    </item>
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      <title>Introducing the SIMBA MCP Server: Marketing Mix Modeling Meets AI Assistants</title>
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      <pubDate>Sun, 05 Apr 2026 00:00:00 GMT</pubDate>
      <description>Build Bayesian MMMs, measure channel ROI, optimize budgets, and run scenario forecasts through natural language in Claude, Cursor, or any MCP client.</description>
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