Taylor Scott Amarel

Experienced developer and technologist with over a decade of expertise in diverse technical roles. Skilled in data engineering, analytics, automation, data integration, and machine learning to drive innovative solutions.

Categories

A Practical Guide to A/B Testing with Statistical Significance: Choosing the Right Hypothesis Test for Marketing Decisions

Beyond Gut Feelings: The Power of Statistically Significant A/B Testing In today’s hyper-competitive digital landscape, marketing optimization is no longer a luxury, but a necessity. A/B testing has rightfully emerged as a cornerstone of this optimization process, offering a data-driven approach to refine marketing strategies and maximize ROI. However, the true power of A/B testing