Systems and methods for optimization of capital allocation for advertising campaigns in online-based commerce

A method of automatically producing an advertising campaign of a product for an online marketplace seller, the method performed by an application including one or more programs of instruction embodied in a non-transitory computer readable medium and executable by a processor to configure the application, comprising:

• obtaining one or more prior advertising campaigns of a product generated by the seller in the online marketplace by connecting with an online marketplace account of the seller;
• generating at least one automated advertising campaign of the product having an online marketplace listing with an online marketplace using information from the one or more prior advertising campaigns;
• collecting data on one or more keywords used in relation to the at least one automated advertising campaign, the data including an initial set of daily clicks or sales on the online marketplace listing;
• generating a single keyword advertising campaign of the product, wherein a single keyword of the single keyword advertising campaign is selected from the one or more keywords at least in part on the basis of the initial set of daily clicks or sales on the online marketplace listing;
• collecting data on the single keyword used in relation to the single keyword advertising campaign, the data including a second set of daily clicks or sales on the online marketplace listing;
• executing a machine learning component of an adaptive machine learning platform to generate a machine learning component output, wherein the machine learning component output is generated based at least in part on the data on the single keyword used in relation to the single keyword advertising campaign;
• generating a behavioral curve or table relating to an advertisement bid value of the online marketplace listing and a cost per click value associated with the online marketplace listing based at least in part on the machine learning component output of the machine learning component;
• generating one or more sales goals of the product for the online marketplace seller on the online marketplace;
• generating a current advertisement bid value based at least in part on the one or more sales goals and the behavioral curve or table;
• generating a current advertising campaign of the product based at least in part on the optimized advertisement bid value;
• and
• generating an optimized advertisement bid value by continuously adjusting the current advertisement bid value until the current advertisement bid value has reached an optimized value, the continuous adjustment being performed by:
• collecting data on the optimized advertising campaign, the data including a set of sales on the online marketplace listing;
• generating an adjusted advertisement bid value based at least on one of the data relating to the optimized advertising campaign, the one or more sales goals and the behavioral curve or table;
• and
• generating an optimized advertising campaign of the product based at least in part on the adjusted advertisement bid value.

A method of automatically producing an advertising campaign of a product for an online marketplace seller, the method performed by an application including one or more programs of instruction embodied in a non-transitory computer readable medium and executable by a processor to configure the application, comprising:

• obtaining information from one or more competitor products listed in the online marketplace by competitors to the seller;
• generating at least one automated advertising campaign of a product having an online marketplace listing with an online marketplace based on the information obtained from the one or more competitor products;
• collecting data on one or more keywords used in relation to the at least one automated advertising campaign, the data including an initial set of daily clicks or sales on the online marketplace listing;
• generating a single keyword advertising campaign of the product, wherein a single keyword of the single keyword advertising campaign is selected from the one or more keywords at least in part on the basis of the initial set of daily clicks or sales on the online marketplace listing;
• collecting data on the single keyword used in relation to the single keyword advertising campaign, the data including a second set of daily clicks or sales on the online marketplace listing;
• executing a machine learning component of an adaptive machine learning platform to generate a machine learning component output, wherein the machine learning component output is generated based at least in part on the data on the single keyword used in relation to the single keyword advertising campaign;
• generating a behavioral curve or table relating to an advertisement bid value of the online marketplace listing and a cost per click value associated with the online marketplace listing based at least in part on the machine learning component output of the machine learning component;
• generating one or more sales goals of the product for the online marketplace seller on the online marketplace;
• generating a current advertisement bid value based at least in part on the one or more sales goals and the behavioral curve or table;
• generating a current advertising campaign of the product based at least in part on the optimized advertisement bid value;
• and
• generating an optimized advertisement bid value by continuously adjusting the current advertisement bid value until the current advertisement bid value has reached an optimized value, the continuous adjustment being performed by:
• collecting data on the optimized advertising campaign, the data including a set of sales on the online marketplace listing;
• generating an adjusted advertisement bid value based at least on one of the data relating to the optimized advertising campaign, the one or more sales goals and the behavioral curve or table;
• and
• generating an optimized advertising campaign of the product based at least in part on the adjusted advertisement bid value.