“It takes a data scientist less than 30 minutes to create a new pipeline. Then, with our fully automated solution, the pipeline is activated within 24 hours.”
Head of Data Technology at News Corp Australia
“… our business moves fast and we needed to make the technology available quickly across our teams. With Cortex, our team is able to build ML into our products in a matter of minutes, as opposed to months.”
Chief Data Officer at News Corp
Build Sophisticated User Segments with a few Clicks
A machine learning platform empowers your adtech team to not only build look-alike models, but also more advanced segments using techniques like uplift modeling, real-time modeling, and goal-based optimization. All these modeling techniques are available within an intuitive UI enabling you to build and sell new segments with only a few clicks.
Build Segments at Massive Data Scale
Some of the largest global media brands are building segments across hundreds of millions of unique users and billions of behavioral data points. All aspects of the machine learning pipeline are designed to work at scale including automated feature cleaning and automated feature engineering.
Model Transparency and Visibility
It’s important to understand how the models are built in order to be certain they are working correctly. Opaque modeling techniques often result in incorrect models and, as a result, put your reputation and future ad revenue at risk. Cortex enables you to dissect your model and understand not only what features are used for modeling but relative feature importance to ensure the highest quality models are brought to market.
Learn More About Building Segments Using 1st Party Data
- Case Study – News Corp Australia builds Hundreds of Ad Segments at Massive Scale
- Case Study – How many positive samples do you need to build an ad segment?
- Case Study – Comparing Click-Based and Attribute-Based Ad Segments (43% increase in conversions)
- Towards Data Science article from our product team on building advanced ad segments
- Blog Post – A Survey of Machine Learning Techniques for Building Ad Segments
More Use Cases for Real-Time Decisioning
Increase conversions and engagement in outbound emails, push notifications, and more.