Invention Grant
- Patent Title: Utilizing machine learning models to generate an optimized digital marketing simulation
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Application No.: US17806816Application Date: 2022-06-14
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Publication No.: US11887167B2Publication Date: 2024-01-30
- Inventor: Keshav Rastogi , Amitava Dey , Lakshay Chhabra , Sanjay S. Sharma
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Harrity & Harrity, LLP
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06Q30/0241

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.
Public/Granted literature
- US20230401607A1 UTILIZING MACHINE LEARNING MODELS TO GENERATE AN OPTIMIZED DIGITAL MARKETING SIMULATION Public/Granted day:2023-12-14
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