Where We Catch Our Users
FAZ.NET: Available anytime, anywhere in the world.
The Frankfurter Allgemeine Zeitung online portal FAZ.NET delivers high-quality journalism around the clock and across the globe.
Visits per Day
Page Views per Day
Our Objective
Turning user journeys into growth hooks.
To streamline different goals on FAZ.NET, we wanted to create a segmentation model that would divide users into different groups, fostering a customer-centric user journey where readers are targeted at the right moment with the right offer.
Outstanding Results
OIMS AI segmentation model performed on FAZ.NET.
- +15 %more subscriptions
- +13 %higher engagement
- +9 %higher retention
OIMS AI Segmentation Model
Maximum output through clear and actionable recommendations.
The OIMS AI segmentation model analyses each website user based on various attributes and their level of engagement. It uses gradient boosting machine learning (ML) models for registration and subscription propensity scores, plus a tree-based ML model for new or low-propensity users.The output is a clear recommendation for both anonymous and registered users: engage, lead, or subscribe.
Deep Dive: Our Journeys in Detail.
Examples of Dynamic Walls.
In the engage segment users can access free articles to foster engagement and to built habits.
In the lead segment users get shown a registration wall on dynamic articles, promoting complementary features.
In the subscribe segment users will see a paywall with a trial subscription offer.
Examples of Dynamic Walls.
In the engage segment users can access free articles to foster engagement and to built habits.