Building a Strong Experimentation Culture: Navigating Data-Driven Decision Making

In the dynamic landscape of data science and product management, the cultivation of a robust experimentation culture has emerged as a pivotal driver of success. In this article, we delve into the world of data-driven decision-making and explore how it shapes the core practices of organizations, drawing insights from Mark Alcophon, a seasoned senior data scientist and experimentation evangelist.

100 Conversion Rate Optimization and A/B Testing terms

Conversion Rate Optimization (CRO) Terms A/B Testing Terminology UX and Design Terms Web Analytics and Metrics Psychology and Persuasion Testing and Experimentation Tools E-commerce and Retail Terms Remember that the field of Conversion Rate Optimization and A/B testing is continuously evolving, so it’s a good practice to stay updated with the latest trends, tools, andContinue reading “100 Conversion Rate Optimization and A/B Testing terms”

Embracing Risk and Building Your Personal Brand: A Guide to Thriving in Experimentation

Introduction In the dynamic landscape of experimentation, taking calculated risks and nurturing a strong personal brand can pave the way for career growth and success. This article delves into the insightful conversation between two industry experts, shedding light on the importance of stepping outside one’s comfort zone, overcoming insecurities, and harnessing the power of personalContinue reading “Embracing Risk and Building Your Personal Brand: A Guide to Thriving in Experimentation”

The Power and Complexity of Website Personalization: A Deep Dive

Juliana Amorim emphasizes that personalization is not a silver bullet and recommends its use when aligned with strong hypotheses and business goals. She co-founded Croct, a personalization experimentation platform, focusing on adapting user journeys to context. Examples include tailoring websites for diverse buyer personas within B2B companies and customizing content for users at different stages, like newcomers or existing customers. AI-based personalization and rule-based personalization can coexist. Brands should prioritize personalizing their websites and consider first-party data support.