6sense Insights, Inc.

Marcel Cheng Wei Tan

Gabriel Matthew Galupo Rodriguez

Jun Yu Tan

Zhuoyi Wu

Edwin Khai Ern Chan

Yao Jie Lim

Yul Lee Kim

James Christopher Keys

Ken Jyi Lim

Vincent James Galupo Rodriguez

A method for efficiently generating a plurality of personalized email strategies and corresponding personalized emails for campaign recipients is disclosed. Multi-dimensional data comprising account data, recipient data, and seller data is received from one or more data sources. The received multi-dimensional data is processed to extract relevant features. A dynamic feature hierarchy is generated using the extracted features. A pre-trained machine learning model is fine-tuned using the dynamic feature hierarchy to generate email strategies, wherein model parameters are adjusted based on the hierarchy during fine-tuning. A plurality of email strategies is generated for each recipient by applying the fine-tuned model's recommendations. An email strategy is selected from the plurality of strategies based on one or more factors. A personalized email corresponding to the selected email strategy is generated. The personalized email and the selected email strategy used to generate it are displayed to a user.

System and method for automatically generating email and associated email strategies

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San Francisco, CA, United States of America

Marcel Cheng Wei Tan