Traditionally, defining a target audience involves determining their age, sex, geographic locations, and especially their needs (aka pain points). Check out usability.gov’s description of personas and how to do task analysis & scenarios for more details, or better yet, read Vanessa Fox’s upcoming book about personas related to search and conversion.
Think of it this way: The more specific your content, the more specific the needs of your audience are -- and the more likely you'll convert this traffic into leads. This is how Google finds value in the websites it crawls; the pages that dig into the interworkings of a general topic are seen as the best answer to a person's query, and will rank higher.
Calculating the CTR of two different ads is easy – predicting how they’ll perform over the long term is much harder without running a lengthy A/B test. Perry Marshall's SplitTester tool allows you to enter numerical CTR data to predict the ongoing performance of the two ads. Great for estimating statistical significance if you don’t have enough time for a full A/B test.
Traditionally, defining a target audience involves determining their age, sex, geographic locations, and especially their needs (aka pain points). Check out usability.gov’s description of personas and how to do task analysis & scenarios for more details, or better yet, read Vanessa Fox’s upcoming book about personas related to search and conversion.
Good stuff Brian! One thing I like to do for Step #9 is use Search Console as a guide to improving my content. If I write an article about “green widgets” but Search Console says it’s getting a lot of impressions and clicks for “blue-green widgets” then I’ll try to use that info to make my article more relevant and useful for those readers. That alone is a great way to continually update your content to reflect your “momentum” in Google. Thanks for the updated guide!

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