System for Analyzing Social Media Influencer Impact on Consumer Behavior

A computer system for generating a recommendation for displaying a new cosmetic product on a particular account, the system comprising:

• one or more processors;
• and
• one or more memories storing non-transitory computer-readable instructions that, when executed by the one or more processors, cause the one or more processors to:
• obtain training data including historical account parameters associated with a plurality of historical accounts, historical cosmetic product parameters associated with one or more historical cosmetic products displayed on respective historical accounts of the plurality of historical accounts, and historical utilization rate data associated with the one or more historical cosmetic products, wherein obtaining historical cosmetic product parameters includes analyzing historical image data and historical video data to identify the historical cosmetic product parameters;
• train, based on the training data, a machine learning model to predict utilization rates of cosmetic products based on cosmetic product parameters associated with the cosmetic products and account parameters associated with the respective historical accounts on which the cosmetic products are displayed, resulting in a trained machine learning model;
• apply the trained machine learning model to particular account parameters associated with a particular account and new cosmetic product parameters associated with a new cosmetic product to generate a predicted utilization rate for the new cosmetic product if displayed on the particular account;
• and
• generate a recommendation based on the predicted utilization rate for displaying the new cosmetic product on the particular account.

A non-transitory computer-readable medium for generating a recommendation for displaying a new cosmetic product on a particular account comprising instructions that, when executed by one or more processors, cause the one or more processors to:

• obtain training data including historical account parameters associated with a plurality of historical accounts, historical cosmetic product parameters associated with one or more historical cosmetic products displayed on [[the ]]respective historical accounts of the plurality of historical accounts, and historical utilization rate data associated with the one or more historical cosmetic products, wherein obtaining historical cosmetic product parameters includes analyzing historical image data and historical video data to identify the historical cosmetic product parameters;
• train, based on the training data, a machine learning model to predict utilization rates of cosmetic products based on cosmetic product parameters associated with the cosmetic products and account parameters associated with the respective historical accounts on which the cosmetic products are displayed, resulting in a trained machine learning model;
• apply the trained machine learning model to particular account parameters associated with a particular account and new cosmetic product parameters associated with a new cosmetic product to generate a predicted utilization rate for the new cosmetic product if displayed on the particular account;
• and
• generate a recommendation based on the predicted utilization rate for displaying the new cosmetic product on the particular account.