ONLINE ADVERTISEMENT FORECASTING USING TARGETED MESSAGES

摘要

Techniques for forecasting for an advertisement campaign are described. A personalized communication system can receive a request for an advertisement campaign on a social network. The request can have a member attribute and a time frame. The personalized communication system can access member data and behavior data from the social network. Additionally, the personalized communication system can determine a target group based on the member data and the member attribute. Furthermore, the personalized communication system can calculate a number of unique visitors to the social network from the target group based on the member attribute, the time frame, and a frequency cap. Subsequently, the personalized communication system can forecast a number of messages for the first advertisement campaign based on the calculated number of unique visitors, the behavior data, and the time frame.

主权项

1. A method comprising:
receiving a request for a first advertisement campaign on a social network, the request having a member attribute and a time frame; accessing member data from the social network; determining a target group in the social network based on the member data and the member attribute; accessing behavior data for the target group, the behavior data including a last logon date to the social network for a member; calculating a number of unique visitors to the social network from the target group based on the member attribute, the time frame, and a frequency cap; and forecasting, using a processor, a number of messages for the first advertisement campaign based on the calculated number of unique visitors, the behavior data, and the time frame.