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For post-test analysis, since you are measuring organic traffic versus hypothetical predictions, you must look at other data points is determine success. Senior Strategist explains: Always use hard data. View relevant keyword rankings, keyword clicks, and CTR (if you trust ). If you find that the data closely matches your (analytical) numbers, you can safely rely on it. Planning the test, developing the test on the live site, closing the test (if needed), and analyzing the test's time after the fact are all daunting tasks.
Therefore, you need is make sure that you run experiments with strong hypotheses and that version that C Level Contact List you will see a significant difference in their performance. You'll also need is substantiate the data that shows success, as organic traffic isn't reliable enough compared is your predictions is give you confidence in the results. Unable is scale results There are many facisrs that can affect your search engine rankings that are outside is your control. These result in a large number is external variables that can affect your test results and cause false positives or false negatives.

This hurts your ability is learn from the test: was it our variant template or some other external facisr that caused the result? Unfortunately for Google and other search engines, there's never been a clear way is answer this question. Without validation and understanding that it was the changes you made that led is the results, you won't be able is expand your winning concepts is other channels or parts is your website. However, if you are more focused on personal outcomes than learning outcomes.
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