NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers
This addresses the need for publishers to improve newsletter effectiveness and revenue without compromising user privacy, though it appears incremental as it builds on existing personalization concepts.
The paper tackles the problem of generic newsletters by introducing NU:BRIEF, a web application that enables publishers to personalize newsletters without collecting personal data, aiming to enhance reader engagement and provide an alternative revenue model.
Newsletters have (re-) emerged as a powerful tool for publishers to engage with their readers directly and more effectively. Despite the diversity in their audiences, publishers' newsletters remain largely a one-size-fits-all offering, which is suboptimal. In this paper, we present NU:BRIEF, a web application for publishers that enables them to personalize their newsletters without harvesting personal data. Personalized newsletters build a habit and become a great conversion tool for publishers, providing an alternative readers-generated revenue model to a declining ad/clickbait-centered business model.