Web-interface to identify SEO success factors
Sydney Jue, Nathaly Leon, Tiara Smith
The appetite and interest in digital advertising among small and medium enterprises is significant, but the extravagant complexities of implementing a purposeful and benchmarked digital advertising campaign prevent many SMEs and micro-enterprises from engaging in strategically planned digital marketing; despite its’ relative cost effectiveness compared to traditional channels. Many SEO success factors have been proved to be useful for improving marketing performance. However, many companies still rely on their anecdotal evidences or heuristics for digital marketing decision-making. This research is focused on addressing this gap by identifying an evidence-based SEO success roadmap for dental service providers. SMEs that have not adopted these SEO success factors will benefit from this research study.
Detailed steps:
1, Using Chromedriver to make an instace of chrome that is compatiable with Selenium which makes a web crawler to crawl through webpages. It:
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Gets the top 50 related keywords for the given core keyword (ex: "pistachio") by using Google Ads
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Places the results, the 50 related keywords, into a web based API provided by dashboard where 10 webpages are given for each keyword
2, The similarity between two webpages is found by analyzing each URLs metadata and a correlation matrix is made. (Download matrix)
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Description, title, URL, etc.
3, Data is clustered using a hieratchial clustering algorithm to analyse the relationship between all 50 related keywords and their URLs.
4, The results are compared with a user inputted URL in order to provide the user with suggestions on how their site could improve.
5, A webpage is made to display the results.
Resuorces provided
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Other example commercial projects