SERVICE
STRG.behave
DATA
1st-party only
PRIVACY
GDPR-ready
MODE
real-time

Personalisation · 1st-party data · Behavioural economics

Content that meets the user where they are.

STRG.behave analyses your users' behaviour in real time and serves relevant content — powered by 1st-party data, semantic analysis and NLP. Privacy-compliant, no third-party cookies, with measurable impact on engagement and dwell time.

STRG.behave Hero
0
Third-party cookies
Realtime
Content decisions
NLP
+ semantic analysis
2017
First behaviour pipeline

STRG.behave is a toolset that analyses user behaviour to identify their current interests while they visit a platform — and serves content semantically, in a privacy-conscious way, in real time.

  1. Semantisch Icon01

    Semantic

    Create data-driven content based on the real interests of your users — and maximise engagement.

  2. 1st Party Data Icon02

    1st party data

    Use your own, privacy-compliant data to address your target audience precisely — without relying on third-party cookies.

  3. Verhaltensanalyse Icon03

    Behavioural analysis

    Data-driven insights from user behaviour for economically meaningful, targeted decisions.

Use cases

The possible applications are versatile.

The platform leverages neural networks, semantic content analysis, NLP and the principles of behavioural economics to turn visitor data into personalised content recommendations. Content is delivered based on the digital footprint — context-aware, in real time and privacy-compliant.

Dadhichi Shukla, Data Science Team Lead

The digital footprint is used to deliver personalised content based on the principles of behavioural economics.

Case study

Die Furche — Personalised content in practice

For Die Furche we used STRG.behave to deliver editorial content in a personalised way across all touchpoints — without third-party cookies, with measurable impact on engagement and time spent.

Die Furche Mobile Case Study

Case Study

DAZ - How to find pharmacists in web traffic

For the DAZ (Deutsche Apotheker Zeitung) we have developed a system that allows the actual operators of pharmacies to be identified in the web traffic.


Read more in the magazine

STRG.magazine

Let's talk about personalisation

Turn behavioural data into personalised content — privacy-compliant.

We listen, frame the problem and propose a workable starting point.