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RUFAI LEGACY

  • Writer: Kurtis Ruf
    Kurtis Ruf
  • Aug 12
  • 2 min read

The Evolution from RUF.COM to RUF.AI — A Legacy of Data Innovation

RUF.AI was born from a deep-rooted legacy of data-driven market intelligence that began decades ago with www.ruf.com (RUF.COM), a pioneering force in predictive modeling, behavioral segmentation, and targeted audience solutions. Co-founded and led by Kurt Ruf, www.ruf.com  established itself as a national leader in database marketing and was ultimately acquired by Verisk Marketing Services, now part of a Fortune 500 company.

Under Kurt’s leadership, www.ruf.com  became the behavioral segmentation and modeling engine behind Experian, one of the largest credit bureaus in the world. For over 25 years, the company powered Experian’s "Smart Targets" product—the first household-based targeting solution that connected demographic clusters with more than 20,000 behavioral propensity models. This groundbreaking solution enabled marketers to re-engage and expand their customer base with high-response lead lists and finely tuned audience personas.

Today, www.ruf.ai  (RUF.AI) is the next chapter in this legacy. After the successful transition of his former company, Kurt Ruf launched RUF.AI to bring cutting-edge AI and machine learning into the hands of marketers and analysts. The platform builds on decades of experience and now integrates:

  • Advanced identity enrichment and customer graph models

  • Proprietary segmentation and look-alike scoring systems

  • A unified data mart architecture with real-time dashboards

  • Smart profiling, persona development, and predictive journey mapping

What once required entire departments of analysts and data scientists can now be orchestrated in real time—delivering actionable insight, efficient targeting, and measurable ROI.

RUF.AI is more than a consultancy. It’s a strategic evolution of a legacy built on trust, intelligence, and innovation—ready to power the next generation of AI-driven customer acquisition and retention strategies

 
 
 

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