Analytics driven engagement

A system comprising:

• a processor configured to:
• access a set of engagement rules defined based on data representing interactions with a website, wherein each of the engagement rules defines conditions for providing web-based content;
• access historical interaction data representing previous interactions with the website, the previous interactions made at a communications device;
• access an analytic report representing trends in internet usage amongst a group of website visitors;
• generate a statistical model based on the historical interaction data and the analytic report, wherein, when the statistical model is generated using principal component analysis, the historical interaction data is modeled as:
• X=1* x′+T*P′+E,
• wherein:
• 1* x′ represents variable averages or percentile values after pre-processing the historical interaction data;
• T*P′ models a structure;
• and
• E contains noise;
• access data representing an ongoing visit to the website, the ongoing visit occurring at the communications device, wherein accessing data representing an ongoing website visit includes:
• making a classification decision by classifying the ongoing website visit using the statistical model;
• and
• updating an engagement rule of the set based on the classification decision;
• access additional data representing the website visit, wherein accessing the additional data includes determining that the additional data satisfies a condition defined by the updated engagement rule;
• and
• initiate an engagement on the website, in response to determining that the additional data satisfies the condition defined by the updated engagement rule.

A computer-program product tangibly embodied in a non-transitory machine-readable storage medium having instructions stored thereon, the instructions operable to cause a data processing apparatus to perform operations including:

• accessing a set of engagement rules defined based on data representing interactions with a website, wherein each of the engagement rules defines conditions for providing web-based content;
• accessing historical interaction data representing previous interactions with the website, the previous interactions made at a communications device;
• accessing an analytic report representing trends in internet usage amongst a group of website visitors;
• generating a statistical model based on the historical interaction data and the analytic report, wherein, when the statistical model is generated using principal component analysis, the historical interaction data is modeled as:
• X=1* x′+T*P′+E,
• wherein:
• 1* x′ represents variable averages or percentile values after pre-processing the historical interaction data;
• T*P′ models a structure;
• and
• E contains noise;
• accessing data representing an ongoing visit to the website, the ongoing visit occurring at the communications device, wherein accessing data representing an ongoing website visit includes:
• making a classification decision by classifying the ongoing website visit using the statistical model;
• and
• updating an engagement rule of the set based on the classification decision;
• accessing additional data representing the website visit, wherein accessing the additional data includes determining that the additional data satisfies a condition defined by the updated engagement rule;
• and
• initiating an engagement on the website, in response to determining that the additional data satisfies the condition defined by the updated engagement rule.