Systems and methods for multi-dimensional electronic content performance predictor and decision automation

A computer system for executing a machine learning algorithm for generating optimized digital content, comprising:

• a memory having processor-readable instructions stored therein;
• and
• a processor configured to access the memory and execute the processor-readable instructions, which when executed by the processor configures the processor to perform plurality of functions, including functions for:
• receiving, at a prediction engine of a server, one or more digital content items from one or more content partners, the one or more digital content items including performance information;
• analyzing, using a machine learning algorithm and a neural network, each of the one or more digital content items against performance criteria to determine a corresponding potential total traffic value;
• comparing, by the prediction engine, the corresponding potential total traffic value for each of the one or more digital content items against a traffic threshold;
• based on comparing the corresponding potential total traffic value for each of the one or more digital content items against the traffic threshold, determining, by the prediction engine, a first subset of the one or more digital content items and a second subset of the one or more digital content items, wherein the first subset of the one or more digital content items include the one or more digital content items that have met or exceeded the traffic threshold, and the second subset of the one or more digital content items include the one or more digital content items that have not met the traffic threshold;
• transmitting, by a decision engine of the server, the first subset of the one or more digital content items that have met or exceeded the traffic threshold to a digital content management system;
• generating, by the decision engine of the server, a ranking of the first subset of the one or more digital content items and a corresponding action recommendation determined by the machine learning algorithm and the neural network;
• and
• conveying to a user, by the decision engine of the server, the ranking of the first subset of the one or more digital content items and the corresponding action recommendation as action buttons, the action buttons including a first button that instantly publishes a top emerging digital content item to mobile devices and a second button that provides insight information comprising expected performance.

A non-transitory computer-readable medium for executing a machine learning algorithm for generating optimized digital content, comprising:

• a memory having processor-readable instructions stored therein, to direct a processor for:
• receiving, at a prediction engine of a server, one or more digital content items from one or more content partners, the one or more digital content items including performance information;
• analyzing, using a machine learning algorithm and a neural network, each of the one or more digital content items and against performance criteria to determine a corresponding potential total traffic value;
• comparing, by the prediction engine, the corresponding potential total traffic value for each of the one or more digital content items against a traffic threshold;
• based on comparing the corresponding potential total traffic value for each of the one or more digital content items against the traffic threshold, determining, by the prediction engine, a first subset of the one or more digital content items and a second subset of the one or more digital content items, wherein the first subset of the one or more digital content items include the one or more digital content items that have met or exceeded the traffic threshold, and the second subset of the one or more digital content items include the one or more digital content items that have not met the traffic threshold;
• transmitting, by a decision engine of the server, the first subset of the one or more digital content items that have met or exceeded the traffic threshold to a digital content management system;
• generating, by the decision engine of the server, a ranking of the first subset of the one or more digital content items and a corresponding action recommendation determined by the machine learning algorithm and the neural network;
• and
• conveying to a user, by the decision engine of the server, the ranking of the first subset of the one or more digital content items and the corresponding action recommendation as action buttons, the action buttons including a first button that instantly publishes a top emerging digital content item to mobile devices and a second button that provides insight information comprising expected performance.