Historical data from publishers
For audience prediction Dooh.One takes data from people counters and POS-terminals.
Non-personalized Face Recognition
Basically, we collect and enrich customer data with the help of own depersonalized Face Recognition neuro network. It give us more depth an accuracy in audience recognition and advertising massages targeting.
GEO data from 3rd party suppliers
We supplement the platform with data about audience interests obtained by our partners using the GPS data collection tool for WhatsApp users around the world.
Non-personalized MAC addresses counting (WiFi)
We can use MAC-addresses gathered by external WiFi sniffers, with collect data of all mobile phones that are passing by. It helps us building the audience segments profile and enrich data using external resources.
Out of the box
On demand