Abstract: In some embodiments, the present disclosure describes a method that includes at least: receiving, by a processor, audience data identifying candidate audience for a website content; generating a plurality of audience groups based on the audience data; receiving user identifying data of a user; generating personalized online content for the user; tagging the personalized online content with a plurality of dynamic tokens to form trackable personalized online content; transmitting instructions to display the trackable personalized online content on a screen of a computing device; receiving user activity tracking data; training a machine learning algorithm, based on the user activity tracking data, to obtain a trained machine learning content recommendation engine; and utilizing the trained machine learning content recommendation engine to identify updated trackable personalized online content based on a plurality of markups to the trackable personalized online content.

Abstract: Systems and methods of the present invention provide for servers generating a suggested domain name from a requested domain name via a modification using a variation algorithm using a first variation technique in a plurality of variation techniques. The server(s) render a user feedback interface including the suggested domain name and a first and second user interface control encoding a positive and negative response to the variation technique respectively. After decoding a response, the server(s) generate a user interface allowing the user to review which of the suggested domain names have been liked or added to a favorites list by other users.

Abstract: Systems and methods of the present invention provide for servers generating a suggested domain name from a requested domain name via a modification using a variation algorithm using a first variation technique in a plurality of variation techniques. The server(s) render a user feedback interface including the suggested domain name and a first and second user interface control encoding a positive and negative response to the variation technique respectively. After decoding a response, the server(s) generate a user interface allowing the user to review which of the suggested domain names have been liked or added to a favorites list by other users.

Abstract: In some embodiments, the present disclosure describes a method that includes at least: receiving, by a processor, audience data identifying candidate audience for a website content; generating a plurality of audience groups based on the audience data; receiving user identifying data of a user; generating personalized online content for the user; tagging the personalized online content with a plurality of dynamic tokens to form trackable personalized online content; transmitting instructions to display the trackable personalized online content on a screen of a computing device; receiving user activity tracking data; training a machine learning algorithm, based on the user activity tracking data, to obtain a trained machine learning content recommendation engine; and utilizing the trained machine learning content recommendation engine to identify updated trackable personalized online content based on a plurality of markups to the trackable personalized online content.

Abstract: A domain name registrar may create a customizable universal purchase path for all customers purchasing a given product. The registrar may create and store modular cross sell components that each has material for at least one product offered for sale by the registrar. Thereafter, the registrar may receive a request for a product from a customer. The registrar may determine a probability the customer will complete the purchase if shown upgrades and/or additional products. If the probability is low (or lower than a predefined threshold) the registrar may complete the purchase before displaying additional upgrades and/or additional products to the customer. This will maximize the conversion rate. Alternatively, if the probability is high (or higher than a predefined threshold) the registrar may create final page markups using the modular cross sell components and collected content and display the final page markups to the customer before completing the purchase with the customer.

Abstract: A domain name registrar may create a customizable universal purchase path for all customers purchasing a given product. The registrar may create and store modular cross sell components that each has material for at least one product offered for sale by the registrar. Thereafter, the registrar may receive a request for a product from a customer. The registrar may determine a probability the customer will complete the purchase if shown upgrades and/or additional products. If the probability is low (or lower than a predefined threshold) the registrar may complete the purchase before displaying additional upgrades and/or additional products to the customer. This will maximize the conversion rate. Alternatively, if the probability is high (or higher than a predefined threshold) the registrar may create final page markups using the modular cross sell components and collected content and display the final page markups to the customer before completing the purchase with the customer.

Abstract: A system and method for the generation and presentation of candidate domain names are presented. The method includes receiving, by at least one server communicatively coupled to a network, a request to access or purchase access to a software application, the request being received from a user. Keywords associated with at least one of the user, a website of the user, and a business of the user are generated and a candidate domain name relevant to the keywords is generated. A user interface is displayed including the candidate domain name. The user interface enables the user to register the candidate domain name. A plurality of candidate domain names may be generated and organized into carousels or stacks according to a common theme. The candidate domain names may be displayed on a user interface and arranged thereon according to a relevance score of the domain name bundles.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: generate a list of suggested available domain names and an associated user interface control; receive, from a client computer, a selection of a favorite domain name; store the selection in a repository of favorite domain name data; synchronize the repository with local favorite domain name data on the client; and identify, via machine learning, an aggregate or individual trend within the repository of domain name data.

Abstract: A system and method for the generation and presentation of candidate domain names are presented. The method includes receiving, by at least one server communicatively coupled to a network, a request to access or purchase access to a software application, the request being received from a user. Keywords associated with at least one of the user, a website of the user, and a business of the user are generated and a candidate domain name relevant to the keywords is generated. A user interface is displayed including the candidate domain name. The user interface enables the user to register the candidate domain name. A plurality of candidate domain names may be generated and organized into carousels or stacks according to a common theme. The candidate domain names may be displayed on a user interface and arranged thereon according to a relevance score of the domain name bundles.

Abstract: A domain name registrar may create a customizable universal purchase path for all customers purchasing a given product. The registrar may create and store modular cross sell components that each has material for at least one product offered for sale by the registrar. Thereafter, the registrar may receive a request for a product from a customer. The registrar may determine a probability the customer will complete the purchase if shown upgrades and/or additional products. If the probability is low (or lower than a predefined threshold) the registrar may complete the purchase before displaying additional upgrades and/or additional products to the customer. This will maximize the conversion rate. Alternatively, if the probability is high (or higher than a predefined threshold) the registrar may create final page markups using the modular cross sell components and collected content and display the final page markups to the customer before completing the purchase with the customer.

Abstract: A domain name registrar may create a customizable universal purchase path for all customers purchasing a given product. The registrar may create and store modular cross sell components that each has material for at least one product offered for sale by the registrar. Thereafter, the registrar may receive a request for a product from a customer. The registrar may determine a probability the customer will complete the purchase if shown upgrades and/or additional products. If the probability is low (or lower than a predefined threshold) the registrar may complete the purchase before displaying additional upgrades and/or additional products to the customer. This will maximize the conversion rate. Alternatively, if the probability is high (or higher than a predefined threshold) the registrar may create final page markups using the modular cross sell components and collected content and display the final page markups to the customer before completing the purchase with the customer.

Abstract: Systems and methods of the present invention provide for servers generating a suggested domain name from a requested domain name via a modification using a variation algorithm using a first variation technique in a plurality of variation techniques. The server(s) render a user feedback interface including the suggested domain name and a first and second user interface control encoding a positive and negative response to the variation technique respectively. After decoding a response, the server(s) generate a user interface allowing the user to review which of the suggested domain names have been liked or added to a favorites list by other users.

Abstract: Systems and methods of the present invention provide for servers generating a suggested domain name from a requested domain name via a modification using a variation algorithm using a first variation technique in a plurality of variation techniques. The server(s) render a user feedback interface including the suggested domain name and a first and second user interface control encoding a positive and negative response to the variation technique respectively. After decoding a response, If the number of positive or negative responses is greater than a threshold, the user responds to a prompt asking if these types of suggested domain names should be consistently suggested or permanently deleted.

Abstract: Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: generate a list of suggested available domain names and an associated user interface control; receive, from a client computer, a selection of a favorite domain name; store the selection in a repository of favorite domain name data; synchronize the repository with local favorite domain name data on the client; and identify, via machine learning, an aggregate or individual trend within the repository of domain name data.

Abstract: A user may enter a user search in a search field. The user search and/or data associated with the user may be used to create a plurality of SLDs and a plurality of TLDs. A plurality of suggested domain names may be created using the SLDs and TLDs and displayed to the user in a single column and the plurality of TLDs may be displayed to the user in a single horizontal row. The location of the displayed suggested domain names and TLDs may be switched in some embodiments. The user search may also be tokenized and the user may select one of the tokens, a displayed SLD or a displayed TLD to lock (or spin in some embodiments) the selected token(s), SLD(s) and/or TLD(s) so that all new displayed suggested domain names include the locked token(s), SLD(s) and/or TLD(s). New suggested domain names may then be created that include the locked token(s), SLD(s) and/or TLD(s) and displayed to the user.