APPROACHES TO PREDICTING THE IMPACT OF MARKETING CAMPAIGNS WITH ARTIFICIAL INTELLIGENCE AND COMPUTER PROGRAMS FOR IMPLEMENTING THE SAME

APPROACHES TO PREDICTING THE IMPACT OF MARKETING CAMPAIGNS WITH ARTIFICIAL INTELLIGENCE AND COMPUTER PROGRAMS FOR IMPLEMENTING THE SAME

One of the most challenging problems that marketing professionals face is measuring the effect of advertising campaigns on the sales of a product. One of the main causes of poorly allocated spend is incorrect analysis of advertising campaign effectiveness. Introduced here is an approach to determini...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: WILLIAMS, Timothy John, KAHN, Samuel Henry
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:One of the most challenging problems that marketing professionals face is measuring the effect of advertising campaigns on the sales of a product. One of the main causes of poorly allocated spend is incorrect analysis of advertising campaign effectiveness. Introduced here is an approach to determining advertising campaign effectiveness in a more accurate, dependable manner using machine learning to extract the true effect of an advertising. This approach can be implemented by a data analysis platform that is able to train a machine learning algorithm using company-specific data as part of a training operation, as well as implementing the resulting machine learning model as part of an inferencing operation.