Patents Assigned to Metadata, Inc.
  • Patent number: 11188936
    Abstract: Disclosed are methods and systems for generating targeted advertising campaigns for a business-to-business (B2B) company. The method comprises first retrieving an ideal customer profile (ICP), and generating candidates leads that match the ICP. Next, generating test campaigns, scoring each test campaign based on a number of acquired leads and a campaign cost per lead (CPL), where the number of acquired leads is calculated based on feedback information received from each test campaign, and where each test lead who responds affirmatively to one of the test campaigns is marked as an acquired lead, and generating a targeted advertising campaign to a larger subset of the candidate leads based on the test campaign scores. The present invention utilizes a closed-loop approach to customize campaign audiences, to optimize targeted advertising campaigns and ICPs, and as a result, to produces high-quality, low-cost, targeted advertising campaigns for B2B companies.
    Type: Grant
    Filed: July 13, 2020
    Date of Patent: November 30, 2021
    Assignee: Metadata, Inc.
    Inventor: Gil David Allouche
  • Patent number: 10713684
    Abstract: Disclosed are methods and systems for generating targeted advertising campaigns for a business-to-business (B2B) company. The method comprises first retrieving an ideal customer profile (ICP), and generating candidates leads that match the ICP. Next, generating test campaigns, scoring each test campaign based on a number of acquired leads and a campaign cost per lead (CPL), where the number of acquired leads is calculated based on feedback information received from each test campaign, and where each test lead who responds affirmatively to one of the test campaigns is marked as an acquired lead, and generating a targeted advertising campaign to a larger subset of the candidate leads based on the test campaign scores. The present invention utilizes a closed-loop approach to customize campaign audiences, to optimize targeted advertising campaigns and ICPs, and as a result, to produces high-quality, low-cost, targeted advertising campaigns for B2B companies.
    Type: Grant
    Filed: January 5, 2018
    Date of Patent: July 14, 2020
    Assignee: Metadata, Inc.
    Inventor: Gil David Allouche
  • Patent number: 10607252
    Abstract: Disclosed are methods and systems for generating targeted advertising campaigns for a business-to-business (B2B) company.
    Type: Grant
    Filed: April 25, 2019
    Date of Patent: March 31, 2020
    Assignee: Metadata, Inc.
    Inventor: Gil David Allouche
  • Patent number: 9886700
    Abstract: Disclosed are methods and systems for generating opt-in business leads utilizing targeted advertising campaigns. The method comprises first retrieving an ideal customer profile (ICP), and generating enriched candidates leads that match the ICP. Next, generating test campaigns, receiving feedback information on the test campaigns from candidate leads in test target groups, scoring each test campaign based on received feedback information, and generating a targeted advertising campaign comprising test campaigns with high campaign scores. Opt-in business leads are generated by selecting candidate leads that respond affirmatively to the targeted advertising campaign. The present invention utilizes a closed-loop approach to customize campaign audiences, to optimize targeted advertising campaigns and ICPs, and as a result, to produces high-quality, low-cost, opt-in leads for B2B companies.
    Type: Grant
    Filed: August 29, 2017
    Date of Patent: February 6, 2018
    Assignee: Metadata, Inc.
    Inventor: Gil David Allouche
  • Patent number: 9665885
    Abstract: Disclosed are methods and systems for generating ideal and opt-in business leads utilizing targeted advertising campaigns. The method comprises first retrieving and statistically analyzing qualified leads from a CRM system to identify an ideal customer profile (ICP), and retrieving candidates leads that either match the ICP or are lookalikes from one or more lead data sources. Next, generating test advertising campaigns, receiving feedback on the test advertising campaigns from candidate leads in test target groups, scoring each test advertising campaign based on received feedback, and selecting ideal business leads that match a profile of a test target group that responded to a test advertising campaign with a high score. Furthermore, generating main advertising campaigns, receiving responses, and generating ideal and opt-in business leads by selecting ideal business leads that responded affirmatively.
    Type: Grant
    Filed: October 19, 2016
    Date of Patent: May 30, 2017
    Assignee: Metadata, Inc.
    Inventor: Gil David Allouche