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Du Bois gathered his data by creating profiles on 21 different online dating services, across every zip code in America.This allowed him to browse some 19 million people’s dating profiles. To analyze the words they used to describe themselves.I suggest checking with friends if you have actually achieved this expression effectively prior to uploading!Most faces look better at a certain angle, creating a more styled photograph rather than a passport type mugshot.This produced a jump from page 3 to page 1 in under 3 weeks.If you use Google’s Search Console you will have probably seen by now that they have removed the Content Keywords list from the Index section.Du Bois used a technique called term frequency-inverse document frequency, or tf-idf, to measure how frequently a unique word appears in a specific zip code, while discounting words used often across many zip codes.Common words like “love” and “sex” fall off the list, leaving behind only the most place-specific words.

Your existing keyword set will benefit from tighter audience focusing.Every ten years, the US government takes a national census to find out who lives where, what they do for work, the languages they speak and more.It’s good, important stuff, but it doesn’t necessarily tell Americans who they are — the dreams and goals of ordinary people, how we describe ourselves.Your future keywords will be better informed by your knowledge of the business and the audience.Day-parting – a term borrowed from radio and television that refers to establishing a schedule to target your audience.

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