Utilizing machine learning models to generate an optimized digital marketing simulation

US11887167B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Keshav RASTOGI · Manesar, IN
• Amitava Dey · New Delhi, IN
• Lakshay Chhabra · New Delhi, IN
• Sanjay Sharma · New Delhi, IN

Key dates

• Filing date: Jun 14, 2022
• Grant date: Jan 30, 2024
• Expiry date: Jun 14, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0276
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A device may receive and transform metric data and share of voice data, associated with digital marketing by an entity, into transformed data, may generate model data from the transformed data, and may divide the model data into training data, test data, and validation data. The device may train models, with the training data, to generate training results, and may process the test data, with the models, to generate test results. The device may process the validation data, with the models, to generate validation results, and may select a first model, a second model, and a third model based on the results. The device may utilize the first model to predict a share of voice, and may utilize the second model to predict a click through rate. The device may utilize the third model to predict a conversion rate, and may perform actions based on the predicted data.