This next example takes two different sites (neither of them is the site above) that are in different industries but have remarkably similar link characteristics at the macro level (don't ask me how I found these sites - I am just that sad). The spider chart shows how similar they are: Spider comparison - almost identical sites However, if we dig in a little further, we find quite a difference behind the scenes: Site comparison side by side The red site seems to have loads more decent links (mR 4, 5, 6) than the blue site.
Metrics? It's all about the relatively small number of taiwan email list very powerful links the blue site has. Zooming in on mR 6 & 7 links: Powerful links comparison If you were just to look at this chart, you might imagine that the red site was getting more juice passed via these links than the blue site is. However, you'd be being fooled by the logarithmic scale. In terms of total juice passed by just these mR 6 and 7 links, the actual story is: Powerful links through logarithm scale In other words, the blue site is competing almost purely on the basis of the big mR 7 links it has that the red site doesn't.
That's kinda interesting in terms of strategy generation isn't it? How do you do this analysis? Pretty much everything in this post was generated using the histogram function in Excel running over Linkscape API data. It's pretty straightforward with the online help. The only gotchas I noticed that you might need to know about were: Align the 'bins' (which are the x-axis values on most of the charts above) either with mR / mT intervals (e.g.
So how does the blue site end up with similar domain
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