System and method for optimizing media targeting in digital advertisement using dynamic categories

A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

• creating, based on a performance goal and historical data, a first dynamic category version, wherein the first dynamic category version includes at least one category attribute;
• identifying at least one first matching advertisement (ad) request based on the first dynamic category version, wherein the at least one first matching ad request is determined by matching the category attributes of the first dynamic category version and category attributes of the at least one first ad request, wherein the at least one first matching ad request is bid on for the placement of advertisements;
• in response to the placement of advertisements, gathering feedback data on performance of served advertisements, wherein the feedback data is gathered with respect to each of the served advertisements;
• identifying, based on the gathered feedback data, at least one potential category attribute;
• updating the first dynamic category version to create a second dynamic category version based on a portion of the identified at least one potential category attribute;
• identifying at least one second matching ad request for bidding, wherein the at least one second matching ad request is determined based on the second dynamic category version, wherein the at least one second matching ad request is bid on for placement of the advertisements;
• and
• iteratively creating third dynamic category versions from a previous dynamic category version until the goal is substantially met.

A system for optimizing media targeting for placement of digital advertisements, comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• create, based on a performance goal and historical data, a first dynamic category version, wherein the first dynamic category version includes at least one category attribute;
• identify at least one first matching advertisement (ad) request based on the first dynamic category version, wherein the at least one first matching ad request is determined by matching the category attributes of the first dynamic category version and category attributes of the at least one first ad request, wherein the at least one first matching ad request is bid on for the placement of advertisements;
• in response to the placement of advertisements, gather feedback data on performance of served advertisements, wherein the feedback data is gathered with respect to each of the served advertisements;
• identify, based on the gathered feedback data, at least one potential category attribute;
• update the first dynamic category version to create a second dynamic category version based on a portion of the identified at least one potential category attribute;
• identify at least one second matching ad request for bidding, wherein the at least one second matching ad request is determined based on the second dynamic category version, wherein the at least one second matching ad request is bid on for placement of the advertisements;
• and
• iteratively create third dynamic category versions from a previous dynamic category version until the goal is substantially met.