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: 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 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.