A few weeks back I wrote about thickening up your site and the long tail of search, stating that the majority of most site’s organic keyword traffic is actually stored up in the long tail (keyword phrases > 3 words) and it’s important not to overlook that idea when targeting organic traffic – and so this week I decided to prove the concept true by looking at some real website data but taking things one step further than the traditional long tail theory.
the broad, competitive terms get the most traffic and the longer, less competitive phrases get less traffic per keyword but still make up a significant portion of the total keyword traffic. But is the general long tail theory really that relevant for most websites who are looking to improve their organic search traffic or is there something else that might be even more interesting and useful to consider?
and came up with the below two charts. The first website had recorded about 2,000 organic keyword searches while the second website recorded about 10,500 (over the course of a single month)
Below is the chart for the first website showing keyword phrase length vs volume. Notice the smooth looking wave, which peaks at ~500 keyword phrases of length 4 terms per phrase.
Looking at other long tail studies, I already know broad keyword terms appear to receive the most traffic. However, the really important point to note here is that we’ve got ~70% of total keyword traffic going to phrases 4 terms or greater, with the remainder going to one to three term phrases.
Pretty cool you say? Now take a look at the second chart below, showing the second website with about 10,500 recorded keyword phrases.
Yes, both charts are strikingly similar. I actually didn’t think I’d see such a clean resemblance – two different websites, two different traffic levels, two different sets of keywords, yet we’re seeing the same trend that the long tail (greater than 3 terms) makes up roughly 70% of organic keyword traffic received.
Note that the excel generated charts above depict more of a wave shape peaking at ~4 words vs what you might see from a typical "SEO" long tail chart (refer to the first image in this post).
So really, it’s more accurate to say that the first one or two head term lengths a website receives doesn’t really have the most volume, as the traditional long tail chart depicts – it’s actually around 3-5 words per keyword phrase that make up the sweet spot in terms of highest volume per website. Of course results may vary depending on the type of website and size, but I’m betting on average you’d get close to the results I came up with.
My results shouldn’t be confused with studies such as Hitwise’s longtail results, which show the top search terms (not term lengths) by volume from the engines (and not keyword traffic received by a website) – no, the results in this post are depicting the distribution of keyword term length for individual websites, not keyword volume occurrence over the entire internet. It’s easy to get confused since both are relevant pieces of information and both are correlated with the term "long tail".
So I’ve told you that long tail traffic makes up the majority of organic keyword traffic that a website will receive, on average. If that weren’t important enough…
Imagine that you are searching for something specific on the web. Maybe you’re trying to find a new cell phone battery or the best place to eat sushi in your local neighborhood. Would you type in one or two word phrases to find what you’re looking for? As it turns out, no, you’re more likely to use longer phrases to more accurately describe what it is you’re really seeking out – the above data charts reinforce this concept.
And people who are specifically looking for something are more likely to convert – now that’s gold! And if you’re interested, Best Rank offers content writing services to compliment any/all online marketing campaigns to help tap into long tail traffic.
where "A2" is your cell containing the keyword phrase.
where "range" is something like "A2:A5000" (cells A2 through A5000) and "text" is your integer, "1" for example.
What do you find?