Seraphina Cruz

Lead Data Scientist, Marketing Analytics

M.S. Applied Statistics, Carnegie Mellon University; Certified Marketing Analytics Professional (CMAP)

14+ years experience

Credentials

Seraphina Cruz is a distinguished Lead Data Scientist specializing in Marketing Analytics with 14 years of experience. She holds an M.S. in Applied Statistics from Carnegie Mellon University, where her thesis focused on Bayesian inference for marketing campaign optimization. At Veridian Insights, she spearheaded the development of predictive models for customer lifetime value, significantly boosting client retention for Fortune 500 companies by an average of 18%. Her expertise lies in leveraging advanced statistical techniques and machine learning to optimize marketing spend and personalize customer journeys across diverse sectors, including e-commerce and financial services. Seraphina's professional philosophy centers on transforming raw data into actionable insights that drive measurable business outcomes. Her groundbreaking research on multi-touch attribution modeling, published in the Journal of Marketing Research, established a new industry benchmark for accurately assessing campaign effectiveness. Readers can expect her articles to demystify complex analytical concepts, offer practical strategies for data-driven decision-making, and provide cutting-edge perspectives on the evolving landscape of marketing measurement

Articles by Seraphina Cruz

Marketing Analytics

AI Content: 5 Ways to Prove ROI in 2026

The proliferation of AI-driven content generation tools has unleashed an unprecedented volume of digital information, leaving many marketing teams scrambling to understand what actually resonates.…

Seraphina Cruz · · 11 min read
Marketing Analytics

LLM Brand Mentions: New KPIs for 2026

Key Takeaways Traditional keyword tracking falls short; brands must now measure contextual sentiment and placement of brand mentions within LLM-generated summaries. New KPIs like Contextual…

Seraphina Cruz · · 9 min read