Accelerating Marketing Delivery: Axel Springer’s Journey to a Unified Next-Gen Automation Platform

Date:

Monday, November 17, 2025

Time:

11:50 am

Summary:

Nils, Senior Data Engineer, and Justin, Senior Data Scientist, present a Case Study from publisher Axel Springer. They explain how isolated predictive use cases evolved into a next-gen marketing automation platform that speeds campaign delivery and drives subscriber growth. Justin covers their journey of ML use cases in marketing; Nils details data integrations that formed a unified Customer Data Chip and seamless automation platform. This session showcases a blueprint for marketing enablement.

Personalizing Newsletter Recommendations at DIE ZEIT

Date:

Monday, November 17, 2025

Time:

12:20 pm

Summary:

DIE ZEIT, a German news outlet, is facing the challenge of matching users to suitable content to increase engagement. Alexander will present a comparative study of two approaches for personalized newsletter recommendations: traditional collaborative filtering and a novel method utilizing large language models. Through A/B testing results, he will illustrate the effectiveness of each technique. A live demo will be featured to provide a practical understanding of the strategies discussed.

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