The ShiftForward Private DMP enables you to securely build private audiences and safely use them for advertising and creating new revenue streams.
This documentation will help you get started with the ShiftForward Private DMP, guiding you through its features, categorized as described bellow.
1 – Collect
Collect online user activity events from websites, display and search ads, social and e-mail campaigns, mobile apps and more. Onboard existing offline data sets from CRM-like systems and link them to online users through a matching service. Learn more about Collecting data >
2 – Segment
Add a user to an Audience Segments, including socio-demographic groups, interest affinities or propensity to purchase, using rules over user Attributes. Learn more about Segments >
3 – Activate
Share user Attributes and Audience Segments with 3rd parties such as DSPs, SSPs or DMPs using various methods, including online and offline in batch and realtime modes. Learn more about Activating data >
4 – Report
Report provides information over the data being managed in the platform. Learn more about Report data >
5 – Machine learning
ShiftForward DMP was built to make it easy to get the data needed to build and execute machine learning (ML) models. It has pre-built Product recommendations with product feed support, user-level Predictors like Customer Lifetime Value and socio-demographic affinities (predicted Gender and Age bands) and helps you model, develop and deploy your own custom ML models. Learn more about Machine Learning >
6 – Stack
The ShiftForward DMP runs on the AdStax stack and it allows you to go deeper and tweak custom settings, develop your own reports, create your own custom integrations or simply watch data flowing in real-time using direct tapping into ShiftForward DMP through it’s SDK and Spark cluster. Learn more about the AdStax stack >
Refer to the Glossary to get acquainted with ShiftForward DMP’s definitions.