Real time bidding engine with radius insights

A targeted content curation and placement optimization system comprising:

• a processor connected to a publication network and a data cloud,
• the data cloud including memory storing multiple identity graphs, the processor configured to:
• present targeted content at a specified location on the publication network;
• receive, from the publication network, impression data including an engagement action with the targeted content and a piece of identification metadata;
• access the memory of the data cloud to retrieve at least one of the identity graphs;
• determine an identity profile associated with each engagement action by matching the piece of identification metadata with a known identifier included in a particular identity profile stored in the at least one of the identity graphs;
• retrieve the identity profiles associated with each engagement action from the memory of the data cloud;
• determine a geographic location for each engagement action by identifying a piece of location data associated with each piece of matched identification metadata, each piece of location data identified from one of the retrieved identity profiles;
• receive, via a graphical user interface (GUI), a user selection of a geographic location and a specified radius for a geofence boundary;
• define a geofence around the selected location based on the geofence boundary;
• access the memory of the data cloud to determine multiple intender attributes for each of the retrieved identity profiles having a geographic location within the geofence;
• identify one or more geo-specific intender attributes based on a comparison of the intender attributes for a first population including identity profiles having a location within the geofence and the intender attributes for a second population including a sample of identity profiles having a location outside the geofence;
• display, in the GUI, a map and one or more metrics, the map showing a store location at the center of the geofence and a concentration of intender consumers located within the geofence overlaid on the store location, the one or more metrics including a predicted and current amount of sales for the store location, the intender consumers corresponding to identity profiles having the geo-specific intender attributes;
• adjust, via the publication network, one or more bid parameters of an online demand side portal based on the concentration of intender customers displayed in the map and a difference between the current and predicted amount of sales shown in the GUI, the adjusted bid parameters increasing a number of placements accessible online within the geofence displayed on the map that receive bids from the demand side portal;
• and
• submit, based on the adjusted bid parameters, one or more bids to an online bidding exchange that reserve one or more online placements for targeted content at a specified location on the publication network.