Abstract: A system and method for modeling and optimizing the effectiveness of search engine optimization (“SEO”) initiatives and search engine marketing (“SEA”) campaigns is described. Several embodiments include methods and systems for classifying each of a plurality of websites using at least one of a plurality of classifications. Data associated with the plurality of websites is then acquired. The acquired data is then analyzed to achieve a result which may be used to model or optimize the effectiveness of the SEO initiatives and SEA campaigns.

Abstract: A system and method for modifying a parameter of a website in order to optimize an organic listing of the website at one or more search engines is described. Several embodiments include methods and systems for generating scored representations based upon different portions of data associated with a website, and then combining the scored representations to achieve a result. The result indicates a feature of the website that may be modified in order to optimize the organic ranking of the website at one or more search engines.

Abstract: A system and method for modifying a parameter of a website in order to optimize an organic listing of the website at one or more search engines is described. Several embodiments include methods and systems for generating scored representations based upon different portions of data associated with a website, and then combining the scored representations to achieve a result. The result indicates a feature of the website that may be modified in order to optimize the organic ranking of the website at one or more search engines.

Abstract: A system and method for modeling and optimizing the effectiveness of search engine optimization (“SEO”) initiatives and search engine marketing (“SEA”) campaigns is described. Several embodiments include methods and systems for classifying each of a plurality of websites using at least one of a plurality of classifications. Data associated with the plurality of websites is then acquired. The acquired data is then analyzed to achieve a result which may be used to model or optimize the effectiveness of the SEO initiatives and SEA campaigns.

Abstract: One methodology in accordance with the disclosure is a computer-implementable methodology for quantitatively assessing the impact of paid search advertising on the total visits (paid and organic search-based visits) from search engines and utilizing this assessment to improve search engine marketing performance. The methodology relies on the computation of a synergy score for each search engine keyword of interest or coefficients in a synergy equation. Once computed, the score can be used to repeatedly compute the total return on advertising spend (ROAS) and other performance metrics on a go-forward basis without the time lag inherent in computing the synergy score itself. The methodology includes specific computer-implementable methods for improving search engine marketing performance based on the total (paid plus organic) performance metrics.

Abstract: A system and method for modifying a parameter of a website in order to optimize an organic listing of the website at one or more search engines is described. Several embodiments include methods and systems for generating scored representations based upon different portions of data associated with a website, and then combining the scored representations to achieve a result. The result indicates a feature of the website that may be modified in order to optimize the organic ranking of the website at one or more search engines.

Abstract: The invention is a computer-implementable methodology for quantitatively assessing the impact of paid search advertising on the total visits (paid and organic search-based visits) from search engines and utilizing this assessment to improve search engine marketing performance. The methodology relies on the computation of a synergy score for each search engine keyword of interest or coefficients in a synergy equation. Once computed, the score can be used to repeatedly compute the total return on advertising spend (ROAS) and other performance metrics on a go-forward basis without the time lag inherent in computing the synergy score itself. The invention includes specific computer-implementable methods for improving search engine marketing performance based on the total (paid plus organic) performance metrics.

Abstract: A system and method for modifying a parameter of a website in order to optimize an organic listing of the website at one or more search engines is described. Several embodiments include methods and systems for generating scored representations based upon different portions of data associated with a website, and then combining the scored representations to achieve a result. The result indicates a feature of the website that may be modified in order to optimize the organic ranking of the website at one or more search engines.

Abstract: A system and method for modifying a parameter of a website in order to optimize an organic listing of the website at one or more search engines is described. Several embodiments include methods and systems for generating scored representations based upon different portions of data associated with a website, and then combining the scored representations to achieve a result. The result indicates a feature of the website that may be modified in order to optimize the organic ranking of the website at one or more search engines.

Abstract: A system and method for modifying a parameter of a website in order to optimize an organic listing of the website at one or more search engines is described. Several embodiments include methods and systems for generating scored representations based upon different portions of data associated with a website, and then combining the scored representations to achieve a result. The result indicates a feature of the website that may be modified in order to optimize the organic ranking of the website at one or more search engines.

Abstract: A system and method for modeling and optimizing the effectiveness of search engine optimization (“SEO”) initiatives and search engine marketing (“SEA”) campaigns is described. Several embodiments include methods and systems for classifying each of a plurality of websites using at least one of a plurality of classifications. Data associated with the plurality of websites is then acquired. The acquired data is then analyzed to achieve a result which may be used to model or optimize the effectiveness of the SEO initiatives and SEA campaigns.

Abstract: A system and method, in the context of a search engine marketing campaign, for determining a value to be placed upon at least one mode through which an Internet user is referred to or otherwise enters a website of interest is described. Several embodiments include systems and methods for valuing at least one referral mode based on data acquired from one or more search engines and/or web analytics tools. The systems and methods are further configured to perform fraud analysis, achieve a predictive value of a referral mode and/or optimize the placement of a website in organic or paid search results at one or more search engines based on the value of the at least one referral mode.