Blogs

Learning Adobe Personalisation Through a Data Science Lens

Personalisation is often treated as a feature,
an experiment, a rule, a page variation. But through a data science lens, it becomes something else entirely: a system. In my second month at Dexata, working closely with Adobe personalisation shifted how I think about MarTech, from tools and tactics to decisioning, data quality, and governance. This reflection explores why intelligent experiences depend less on algorithms and more on trusted data, disciplined execution, and connected systems that learn responsibly over time.

Adobe Target QA Methods: Best Practices for Reliable Testing

Learn the best practices for Adobe Target QA methods to ensure reliable testing before launch. Explore how to preview experiences with QA URLs, use query string parameters, validate cookie-based conditions, inspect mbox parameters, confirm audience targeting, test geo-specific experiences, and simulate values with ModHeader.