Average age of subjects based on position

[fomayof928@mowline]

But before we get carried away, we shouldn’t just rely on one statistical method and call it a day. Let’s look at things another way: Let’s compare the average age of articles whose desired keywords rank in the top ten compared to the average age of articles whose desired keywords are outside the top ten.



Target KW position ≤ 10


Now one story is starting to become clear: our bahamas number data written content takes a long time to fully mature.

But to wrap up this indicator, let’s look at the data one last time. We’ll group the data into buckets of target keyword positions, and days indexed, then plot them on a heatmap.

This will show us a clear visual cluster of how subjects perform over time.


This chart, quite literally, paints a picture. According to the data, we shouldn’t expect a new article to realize its full potential for at least 100 days, and possibly longer. As a blog post ages, it seems to gain more favorable keyword positioning.

Correlation 2: Time and total ranking keywords on URL