1. A computer-implemented method comprising: 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.