Patents by Inventor William Bradford FAY

William Bradford FAY has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System and method for measuring social influence of a brand for improving the brand's performance
    Patent number: 11127027
    Abstract: System and method for measuring the performance of brands across online and offline consumer conversations. Raw conversational data of online and offline conversations is received and analyzed using proprietary algorithms to extract, for each type of data (online and offline), relevant metrics that reflect the performance of the brand. In a non-limiting example, these metrics include: volume, sentiment, brand sharing and social influence. One of the problems with using raw data is the extreme volatility that will cause the results to sharply vary between a week and the other depending on the most recent activity or the lack of activity. To solve this problem, the embodiments compute for each metric a moving average (MA) formula specific to that metric to reduce the volatility of the results. The formula is computed so that the metric values produced by the formula would have the best/most correlation with factual data/business outcomes (e.g. sales/sale figures, stock price, purchase or dumping of stocks etc.
    Type: Grant
    Filed: December 21, 2017
    Date of Patent: September 21, 2021
    Assignee: ENGAGEMENT LABS INC./LABORATORIES ENGAGEMENT INC.
    Inventors: Cédric de Saint Leger, Ed Keller, William Bradford Fay
  • SYSTEM AND METHOD FOR MEASURING SOCIAL INFLUENCE OF A BRAND FOR IMPROVING THE BRAND'S PERFORMANCE
    Publication number: 20200090196
    Abstract: System and method for measuring the performance of brands across online and offline consumer conversations. Raw conversational data of online and offline conversations is received and analyzed using proprietary algorithms to extract, for each type of data (online and offline), relevant metrics that reflect the performance of the brand. In a non-limiting example, these metrics include: volume, sentiment, brand sharing and social influence. One of the problems with using raw data is the extreme volatility that will cause the results to sharply vary between a week and the other depending on the most recent activity or the lack of activity. To solve this problem, the embodiments compute for each metric a moving average (MA) formula specific to that metric to reduce the volatility of the results. The formula is computed so that the metric values produced by the formula would have the best/most correlation with factual data/business outcomes (e.g. sales/sale figures, stock price, purchase or dumping of stocks etc.
    Type: Application
    Filed: December 21, 2017
    Publication date: March 19, 2020
    Inventors: Cédric de SAINT LEGER, Ed KELLER, William Bradford FAY