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    <title>Matt Browne | Analytics & Experimentation Leader</title>
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        <p class="eyebrow">Matt Browne</p>
        <h1>Analytics &amp; Experimentation Leader</h1>
        <p class="hero-copy">
          I build systems and teams that accelerate the growth of modern marketing analytics capabilities.
        </p>
        <div class="hero-actions">
          <a class="button" href="#contact">Get in Touch</a>
          <a class="button button-secondary" href="schedule.html">Schedule Time</a>
          <a class="button button-secondary" href="https://github.com/MattBrowneRepo" target="_blank" rel="noopener noreferrer">
            View GitHub
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      <section class="section" id="about">
        <div class="container">
          <h2>About</h2>
          <p>
            I’m an analytics leader focused on building organizations that turn data into durable competitive
            advantage. Over the past decade I’ve led analytics teams across ecommerce, growth marketing, and
            experimentation, helping organizations move from reporting to decision systems.
          </p>
          <p>
            My work sits at the intersection of marketing analytics, experimentation, and data platform design.
            I’ve built analytics teams, modernized instrumentation across complex stacks, and implemented
            experimentation and attribution systems that help organizations understand what actually drives growth.
          </p>
          <p>
            I care less about dashboards and more about systems that improve decision making.
          </p>
          <p>
            Outside of work I’m finishing an economics degree, building small AI tools, and exploring how
            analytics teams can operate more like product teams.
          </p>

          <h3>Specializations</h3>
          <ul>
            <li>Marketing analytics architecture</li>
            <li>Attribution and media mix modeling</li>
            <li>Experimentation platforms and testing strategy</li>
            <li>Analytics instrumentation (GA4, CDP, event pipelines)</li>
            <li>Building and scaling analytics teams</li>
            <li>Translating analytics into executive decision frameworks</li>
          </ul>

          <p class="next-step">
            Open to full-time leadership roles and selective advisory or consulting work.
          </p>
        </div>
      </section>

      <section class="section section-alt" id="work">
        <div class="container">
          <h2>Selected Work</h2>

          <article class="card">
            <h3 class="project-title">
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              Analytics Annotation System
            </h3>
            <p>
              <strong>Context:</strong> Large ecommerce organization across multiple brands with frequent
              launches, promotions, and releases.
            </p>
            <p>
              <strong>Challenge:</strong> Teams spent hours investigating performance swings because change
              context lived across disconnected tools.
            </p>
            <p>
              <strong>Approach:</strong> Designed and built a centralized annotation system integrated with GA4
              and internal dashboards to correlate traffic and revenue shifts with operational events.
            </p>
            <p>
              <strong>Outcome:</strong> Faster root-cause analysis, reduced investigation time, and a shared
              cross-functional operating timeline.
            </p>
            <p><strong>Stack:</strong> GA4, BigQuery, Looker, Python, internal annotation database</p>
          </article>

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              Attribution + Media Mix Measurement Framework
            </h3>
            <p>
              <strong>Context:</strong> Global marketing organization investing across search, social,
              affiliates, display, and email.
            </p>
            <p>
              <strong>Challenge:</strong> Last-touch attribution distorted channel contribution and budget
              decisions.
            </p>
            <p>
              <strong>Approach:</strong> Implemented a two-layer system combining data-driven attribution for
              tactical optimization with media mix modeling for strategic allocation.
            </p>
            <p>
              <strong>Outcome:</strong> More efficient channel allocation and a trusted measurement framework for
              leadership decisions.
            </p>
            <p><strong>Stack:</strong> BigQuery, Python, Bayesian modeling, GA4/Adobe Analytics, Looker</p>
          </article>

          <article class="card">
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              Incrementality Testing Program
            </h3>
            <p>
              <strong>Context:</strong> High-volume ecommerce business with inconsistent testing practices.
            </p>
            <p>
              <strong>Challenge:</strong> Campaign and channel decisions lacked reliable incremental impact
              measurement.
            </p>
            <p>
              <strong>Approach:</strong> Built structured experimentation using holdouts, geo tests, standardized
              design/reporting, and tooling accessible to non-technical teams.
            </p>
            <p>
              <strong>Outcome:</strong> Established experimentation as a core operating model and reduced
              dependence on platform-reported performance.
            </p>
            <p><strong>Stack:</strong> Statsig/GrowthBook, BigQuery, Python, SQL, Looker</p>
          </article>
        </div>
      </section>

      <section class="section" id="sandbox">
        <div class="container">
          <h2>Sandbox</h2>
          <p>Current experiments in analytics tooling, AI workflows, and productized decision systems.</p>
          <div class="services-grid sandbox-grid">
            <article class="service">
              <h3>AI Analyst Workflows</h3>
              <p><strong>Focus:</strong> Prototyping assistants that speed up recurring analytics QA and insight generation.</p>
              <p><strong>Tech:</strong> Python, SQL, LLM APIs, notebooks</p>
            </article>
            <article class="service">
              <h3>Experiment Design Helpers</h3>
              <p><strong>Focus:</strong> Lightweight tools that standardize hypothesis quality and test setup across teams.</p>
              <p><strong>Tech:</strong> Statsig/GrowthBook, templates, workflow automation</p>
            </article>
            <article class="service">
              <h3>Measurement Health Checks</h3>
              <p><strong>Focus:</strong> Automated checks for event quality, tracking drift, and reporting reliability.</p>
              <p><strong>Tech:</strong> GA4, BigQuery, Looker, anomaly detection scripts</p>
            </article>
          </div>
        </div>
      </section>

      <section class="section section-alt" id="github">
        <div class="container">
          <h2>GitHub</h2>
          <p>Recent public repositories and experiments.</p>
          <div id="github-repos" class="services-grid github-grid">
            <p class="github-status">Loading repositories...</p>
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        </div>
      </section>

      <section class="section" id="experience">
        <div class="container">
          <h2>Experience Highlights</h2>
          <ul>
            <li>Built and led analytics teams supporting marketing, ecommerce, and product organizations</li>
            <li>Designed analytics architecture for multi-brand ecommerce environments</li>
            <li>Implemented experimentation platforms used by marketing and product teams</li>
            <li>Led migrations from legacy analytics systems to modern event-based stacks</li>
            <li>Developed attribution and measurement frameworks used for executive decision making</li>
            <li>Partnered with marketing and product leadership to align analytics with growth strategy</li>
          </ul>
        </div>
      </section>

      <section class="section section-alt" id="services">
        <div class="container">
          <h2>Services</h2>
          <div class="services-grid">
            <article class="service">
              <h3>Marketing Analytics Architecture</h3>
              <p>Design measurement systems that power modern marketing organizations.</p>
            </article>
            <article class="service">
              <h3>Attribution &amp; Measurement Strategy</h3>
              <p>Implement practical attribution and incrementality frameworks that improve budget allocation.</p>
            </article>
            <article class="service">
              <h3>Experimentation Programs</h3>
              <p>Build testing cultures and experimentation platforms that scale across marketing and product.</p>
            </article>
            <article class="service">
              <h3>Analytics Team Development</h3>
              <p>Structure analytics teams that move beyond reporting into decision systems.</p>
            </article>
          </div>
          <p class="next-step">Engagements: advisory, project-based consulting, and fractional analytics leadership.</p>
        </div>
      </section>

      <section class="section" id="contact">
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          <h2>Get in Touch</h2>
          <p>Open to selective consulting engagements and leadership opportunities.</p>
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