Method and systems for determining programmatically expected performances

A method for optimizing a marketing campaign associated with a website, based on a plurality of data sets that include, at least, a user behavior data set, an advertisement performance data set, and an advertisement campaign data set, the method comprising:

• receiving, over a network, a first data set comprising information specifying advertisement performance data, wherein the advertisement performance data comprises one or more performance data sets, each comprising one or more performance metrics and each being associated with one or more first identifiers;
• receiving, over the network, a second data set comprising information specifying user behavior data, wherein the user behavior data comprises a plurality of historical information data sets, each being associated with one or more second identifiers;
• receiving, over the network, a third data set comprising information specifying marketing campaign data, wherein the marketing campaign data comprises one or more marketing campaign data sets, each specifying one or more marketing criteria and each being associated with one or more third identifiers;
• determining that a first identifier from the first identifiers, that is associated with a particular performance data set, matches a first identifier from the second identifiers, that is associated with a particular historical information data set, and that a second identifier from the second identifiers, that is associated with the particular historical information data set, matches a first identifier from the third identifiers, that is associated with a particular marketing data set;
• in response to the determination, merging the particular performance data set, the particular historical information data set, and the particular marketing data set, to generate a combined data set;
• storing the combined data set in a data storage apparatus in association with, at least, the first identifier from the first identifiers;
• determining, based on at least the combined data set and one or more configurable marketing campaign parameters, a first prediction value that indicates an expected number of visitors that are likely to perform one or more actions that result in a purchase and an expected purchase value for each user;
• determining the expected revenue exceeds a current revenue associated with the website;
• and
• adjusting one or more current marketing campaign parameters based on the determining that the expected revenue exceeds the current revenue.

A non-transitory computer-readable storage medium having computer-readable program code portions stored thereon that, when executed by one or more computing devices, cause the one or more computing devices to perform operations comprising:

• receiving, over a network, a first data set comprising information specifying advertisement performance data, wherein the advertisement performance data comprises one or more performance data sets, each comprising one or more performance metrics and each being associated with one or more first identifiers;
• receiving, over the network, a second data set comprising information specifying user behavior data, wherein the user behavior data comprises a plurality of historical information data sets, each being associated with one or more second identifiers;
• receiving, over the network, a third data set comprising information specifying marketing campaign data, wherein the marketing campaign data comprises one or more marketing campaign data sets, each specifying one or more marketing criteria and each being associated with one or more third identifiers;
• determining that a first identifier from the first identifiers, that is associated with a particular performance data set, matches a first identifier from the second identifiers, that is associated with a particular historical information data set, and that a second identifier from the second identifiers, that is associated with the particular historical information data set, matches a first identifier from the third identifiers, that is associated with a particular marketing data set;
• in response to the determination, merging the particular performance data set, the particular historical information data set, and the particular marketing data set to generate a combined data set;
• and
• storing the combined data set in a data storage apparatus in association with, at least, the first identifier from the first identifiers;
• determining, based on at least the combined data set and one or more configurable marketing campaign parameters associated with a website, a first prediction value that indicates an expected number of visitors that are likely to perform one or more actions that result in a purchase and an expected purchase value for each user;
• determining an expected revenue associated with the website;
• determining the expected revenue exceeds a current revenue associated with the website;
• and
• adjusting one or more current marketing campaign parameters based on the determining that the expected revenue exceeds the current revenue.