Abstract: This application is directed to quantitatively optimizing and simulating webpage search engine ranking, webpage traffic associated with a search engine, and user interactions with webpage content leading to conversions. For example, a search engine response model can determine how ranking factors of a webpage can affect a ranking of the webpage with respect to a keyword. A ranking factor response model can determine how attributes of a webpage affect the ranking factors. An addressable market can be determined for a webpage by determining keywords and key phrases associated with a webpage, as well as a volume of web traffic associated with the keywords and key phrases. As attributes of a webpage are adjusted, the operations herein can simulate an expected webpage ranking and traffic volume based on the adjusted attributes, and identify optimization factors leading to increased ranking, traffic, and conversions by level of influence for targeted webpages.

Abstract: This application is directed to quantitatively optimizing and simulating webpage search engine ranking, webpage traffic associated with a search engine, and user interactions with webpage content leading to conversions. For example, a search engine response model can determine how ranking factors of a webpage can affect a ranking of the webpage with respect to a keyword. A ranking factor response model can determine how attributes of a webpage affect the ranking factors. An addressable market can be determined for a webpage by determining keywords and key phrases associated with a webpage, as well as a volume of web traffic associated with the keywords and key phrases. As attributes of a webpage are adjusted, the operations herein can simulate an expected webpage ranking and traffic volume based on the adjusted attributes, and identify optimization factors leading to increased ranking, traffic, and conversions by level of influence for targeted webpages.