Systems and methods for determining attribution by applying multiple stimuli sources to a stream of data

A system for evaluating a marketing campaign, comprising:

• a memory;
• and
• a processor in communication with the memory, the processor configured to:
• receive an electronic signal indicating detection of an attributable event occurring at a computing device;
• predict, using a machine learning model, a predicted amount of web traffic to a website, over a period of time subsequent to receiving the electronic signal, had the attributable event not occurred;
• receive electronic data indicating an actual amount of web traffic to the website over the period of time subsequent to receiving the electronic signal;
• generate an indication based on comparing the actual amount of web traffic with the predicted amount of web traffic;
• and
• store the indication in the memory.

A non-transitory, computer-readable medium storing instructions, which when executed by a processor, cause the processor to:

• receive an electronic signal indicating detection of an attributable event occurring at a first computing device;
• predict, using a machine learning model, a predicted amount of web traffic to a website, over a period of time subsequent to receiving the electronic signal, had the attributable event not occurred;
• receive electronic data indicating an actual amount of web traffic to the website over the period of time subsequent to receiving the electronic signal;
• generate an indication based on comparing the actual amount of web traffic with the predicted amount of web traffic;
• and
• store the indication in a memory of a second computing device.