Abstract: A system and method for optimization of a plurality of campaigns for programmatic employment advertising. Preferably such optimization is guided according to the goals and parameters of each campaign.

Abstract: A system and method for programmatically testing a plurality of employment posting variants in a systematic and hierarchical manner, while being guided by current and historical employment posting data, including with regard to costs and success rate. According to at least some embodiments, the system first creates a plurality of different job posting title and text variants, as an expanded set of job postings or “expansion”. Optionally particular feature(s) are selected for expansion, such as for example job posting location or geography, job title, description and so forth. Such particular feature(s) may be selected according to historical data. Optionally all expanded job postings are considered for testing, but alternatively, the set of job postings may be initially limited according to an analysis of historical data.