Systems and Methods for Creating Product Advertising Campaigns

A product target generation server system, comprising:

• a processor;
• a memory connected to the processor and configured to store a product advertisement generation application;
• product data storage configured to store product data, where the product data comprises a plurality of attribute-value pairs describing a set of products;
• semantic model storage configured to store semantic models comprising data describing relationships between product targets, concepts described using categories and attribute-value pairs, and target grouping data constituting a set of groupings of product targets;
• and
• performance data storage configured to store global performance data comprising performance data for product targets and target grouping data across a plurality of existing product advertising strategies, where the target grouping data describes groupings of product targets and product data;
• wherein the product advertisement generation application configures the processor to:
• identify at least one category in a portion of the product data based upon the attribute-value pairs in the product data that associated with the category;
• determine a product advertising structure based on the product data and the identified at least one category, where the product advertising structure includes one or more groupings of product data;
• match a portion of the groupings of product data with the product targets within the global performance data based on the attribute-value pairs of the product data associated within the portion of the groupings of product data;
• identify performance data within the global performance data based on the matched product targets, where the identified performance data corresponds to the attribute-value pairs in the matched portion of the groupings of product data;
• and
• generate at least one product target using the identified performance data, the semantic model, and the product data, wherein:
• a product target comprises a set of product attribute-value pairs identifying a portion of the product data;
• and
• the product target is augmented with at least one attribute-value pair described in the semantic model selected based on the identified performance data for at least one product target in the matched portion of the groupings of product data.