Frankfurter Allgemeinen Zeitung

Get Hooked To FAZ.NET

OIMS AI LogoWith the OIMS AI Segmentation Model

The Challenge

How to catch users with a personalized journey on FAZ.NET.

Every month, more than 10 million people visit FAZ.NET, each with different needs, interests and levels of engagement. At the same time, different team goals for onsite touchpoints have led to competing experiences, missed conversion opportunities, and limited scope for optimizing content for specific user segments.

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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.

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Visits per Day

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Page Views per Day

Our OIMS (Onsite and InApp Marketing and Segmentation) AI Segmentation model analyzes each user’s behavior in real time and assigns them to a segment: Engage, Lead, or Subscribe. Thus, every user gets a tailored experience with dynamic walls and onsite elements.

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.

OIMS AI Segmentation Model

How we utilise our toolset to make it work

OIMS Prozessmodell

Deep Dive: Our Journeys in Detail.

Subscribe Wall Lead Wall Engage Wall

Examples of Dynamic Walls.

  • Engage
  • Lead
  • Subscribe

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.

Engage Wall Lead Wall Subscribe Wall

Examples of Dynamic Walls.

In the engage segment users can access free articles to foster engagement and to built habits.

5 Key Hooks

How to create a personalized customer journeys at scale.

1

User Segmentation at Scale: clear, actionable recommendations.

2

Dynamic Elements: personalized messaging ensures relevance for users.

3

Continuous Analytics: rapid optimization and adjustment of journeys.

4

Robust Technology: platform applications and AI-driven models provide the backbone.

5

Agile Collaboration: overall strategy aligns goals and maximizes impact.

Next Level of Onsite Growth

OIMS AI Segmentation Model

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