Practical Ecommerce

SEO: Metrics That Matter

Out with the old, in with the new. In terms of SEO, what’s falling by the wayside?

  • Obsessively watching indexation numbers and rankings on “trophy” keywords (like the one you know the CEO always checks first thing in the morning).
  • Worrying yourself sick over “duplicate content penalties.”
  • Relying on Sitemap XML files to fix your indexation problems (News flash: Your rankings will still stink!).
  • Exchanging links.

What’s Hot in SEO?

  • Truly understanding and leveraging the power of “long tail” dynamics.
  • Becoming a trusted contributor within Wikipedia, Digg, StumbleUpon, Netscape and Reddit.
  • Building your network in MySpace, Flickr, LinkedIn, YouTube, Bebo, MyBlogRoll and the blogosphere in general, and then reaping the rewards of “network effects.”
  • Building custom search engines and rallying your community to help improve it.
  • Link baiting.

So how do you measure the impact of this sort of stuff? A new generation of SEO metrics, that’s how. Gauging your success on your positions in the search engine results pages is so last century.

New SEO paradigms, such as the “long tail” and personalized search, call for new key performance indicators (KPIs). In addressing “long tail” SEO specifically, some of my Netconcepts’ colleagues cleverly came up with the following KPIs:

Brand-To-Nonbrand Ratio

This is the percentage of your natural search traffic that comes from brand keywords versus nonbrand keywords.

If the ratio is high and most of your traffic is coming from searches for your brand, this signals your SEO is fundamentally broken. The lower the ratio, the more of the “long tail” of natural search you are likely capturing. This metric is an excellent gauge of the success of your optimization initiatives.

Unique Pages

This is the number of unique (non-duplicate) web pages crawled by search engine spiders such as Googlebot.

Your website is like your “virtual sales force,” bringing in prospects from the search engines. Think of each unique page as one of your virtual salespeople. The more unique pages you have, the more opportunities you have to sell through the search engines.

Page Yield

This is the percentage of unique pages that yield search-delivered traffic in a given month.

This ratio essentially is a key driver of the length of your “long tail” of natural search. The more pages that yield traffic from search engines, the healthier your SEO program. If you have only a small portion of your website delivering searchers to your door, then most of your pages, your virtual salespeople, are warming the bench instead of working hard for you. My colleague Brian Klais has a name for the webpages that aren’t driving any search traffic — freeloaders.

Keyword Yield

This is the average number of keywords each page (minus the freeloaders) yields in a given month. Put another way, it’s the ratio of keywords to pages yielding search traffic.

The higher your keyword yield, the more of the “long tail” of natural search your site will capture. In other words, the more keywords each yielding page attracts or targets, the longer your tail. So an average of eight search terms per page indicates pages with much broader appeal to the engines than, say, three search terms per page.
The average merchant in our study had 2.4 keywords per page.

Visitors Per Keyword

This is the ratio of search engine delivered visitors to search terms.

This metric indicates how much traffic each keyword drives and is a function of your rankings in the search engine result pages. Put another way, this metric determines the height or thickness of your “long tail.”

The average merchant in our study obtained 1.9 visitors per keyword.

Index-To-Crawl Ratio

This is the ratio of pages indexed to unique crawled pages.
If a page gets crawled by Googlebot, that doesn’t guarantee it will show up in Google’s index. A low ratio can mean your site doesn’t carry much weight in Google’s eyes.

Engine Yield

Calculated for each search engine separately, this is how much traffic the engine delivers for every page it crawls.

Each search engine has a different audience size. This metric helps you fairly compare the referral traffic you get from each. In the Netconcepts study, we found that MSN and Yahoo! tend to crawl significantly more pages, but the yield per crawled page from Google is typically significantly higher.

As you optimize your site through multiple iterations, watch the above-mentioned KPIs to ensure you’re heading in the right direction. Those not privy to these metrics will have a much harder time capturing the “long tail” of SEO.

Stephan Spencer
Stephan Spencer
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Comments ( 6 )

  1. Legacy User June 28, 2007 Reply

    Found you via http://www.DailyHub.com.

    Could not agree more with your points. I think contemporary SEO is a lot about becoming part of the community and understanding how to create value. Silly things like link exchanges just do not work. At the end of the day, the best way to SEO is to create something of value. Help the search engines do their job.

    — *carefreeliving*

  2. Legacy User August 2, 2007 Reply

    Very new to the SEM game, I need the very basics of what I was told was traditional SEO. Your article is very good and on the money. I just attended ad:tech this week and this is what they are stressing above all. I wish more people would read this and carefree's response. It's so needed at any level of expertise.

    — *ConstantCollide*

  3. Legacy User October 31, 2007 Reply

    Stephen (or anyone else who might know), could you provide examples on how to work out each of the measures you highlight in this article please?

    All your measurements seem to make perfect sense, but finding out the information for our site has proven to be a time consuming exercise.

    For instance, how can i work out what my "unique pages" are?, or what percentage of these ("page yield") end up sending traffic to my site from a search engine?

    Thank you

    — *Marco Barra*

  4. Legacy User January 25, 2008 Reply

    This was an invaluable article to me – thanks so much!

    — *Rex White*

  5. Legacy User January 30, 2008 Reply

    Great post – congratulations and good luck in the semmys – you have my vote.

    — *jackie shervington*

  6. jjules April 13, 2009 Reply

    Stephen – Could you share examples of how I would calculate each of these metrics? Thanks.

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