Ecommerce Sorting

MUDRICK & ASSOCIATES built a machine learning–driven personalization engine that dynamically reorders website content in real time for each visitor. Leveraging behavioral signals, historical interaction data, and contextual attributes, the model continuously learns which content elements drive the highest engagement and conversion.

The system’s architecture integrates seamlessly with the client’s content management and analytics platforms, enabling automated experimentation and performance tracking at scale. This continuous optimization approach ensures that every visitor sees the most relevant products, articles, or offers without manual curation.

The result: a self-optimizing website experience that adapts to each user’s preferences, driving significant lifts in engagement, conversion rates, and average order value. By automating personalization, the client maximized the ROI of existing traffic and unlocked sustainable, data-driven growth.

$40M Revenue

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