SEO Metrics Dashboard

// // December 20th 2010 // Analytics + SEO

There are plenty of SEO metrics staring you right in your face as the folks at SEOmoz recently pointed out.

SEO Metrics Dashboard

I’ll quickly review the SEO metrics I’ve tracked and used for years. Combined they make a decent SEO metrics dashboard.

SEO Visits

Okay, turn in your contractor SEO credentials if you’re not tracking this. Google Analytics makes it easy with their built in Non-paid Search Traffic default advanced segment.

Non-paid Search Traffic Segment

However, be careful to measure by the week when using this advanced segment. A longer time frame can often lead to sampling. You do not want to see this. It’s the Google Analytics version of the Whammy.

Sampled Data Whammy

Alternatively, you can avoid the default advanced segment and instead navigate to All Traffic -> Search Engines (Non-Paid) or drill down under All Traffic Sources to Medium -> Organic. Beware, you still might run into the sampling whammy if you’re looking at longer time frames.

SEO Landing Pages

Using Google Analytics, use the drop down menu to determine how many landing pages drove SEO traffic by week.

SEO Metrics

I’m less concerned with the actual pages then simply knowing the raw number of pages that brought SEO traffic to the site in a given week.

SEO Keywords

Similarly, using the Google Analytics drop down menu, you can determine how many keywords drove SEO traffic by week.

SEO Metrics

Again, the actual keywords are less important to me (at this point) than the weekly volume.

Indexed Pages

Each week I also capture the number of indexed pages. I used to do this using the site: operator but have been using Google Webmaster Tools for quite a while since it seems more accurate and stable.

If you go the Webmaster Tools route, make certain that you have your sitemap(s) submitted correctly since duplicate sitemaps can often lead to inflated indexation numbers.

Calculated Fields

With those four pieces of data I create five calculated metrics.

  • Visits/Keywords
  • Visits/Landing Pages
  • Keywords/Landing Pages
  • Visits/Indexed Pages
  • Landing Pages/Indexed Pages

These calculated metrics are where I find the most benefit. While I do track them separately, analysis can only be performed by looking at how these metrics interact with each other. Let me say it again, do not look at these metrics in isolation.

SEO Metrics

Inevitably I get asked, is such-and-such a number a good Visits/Landing Pages number? The thing is there are no good or bad numbers (within reason). The idea is to measure (and improve) the performance of these metrics over time and to use them to diagnose changes in SEO traffic.

Visits/Keywords

This metric can often provide insight into how well you’re ranking. When it goes up, your overall rank may be rising. However, it could also be influenced by seasonal search volume. For example, if you were analyzing a site that provided tax advice, I’d guess that the Visits/Keywords metric would go up during April due to the increased volume for tax terms.

Remember, these metrics are high level indicators. They’re a warning system. When one of the indicators changes, you investigate to determine the reason the metric changed. Did you get more visits or did you receive the same traffic from fewer keywords? Find out and then act accordingly.

Visits/Landing Pages

The Visits/Landing Pages metric usually tells me how effective an average page is at attracting SEO traffic. Again, look under the covers before you make any hasty decisions. An increase in this metric could be the product of fewer landing pages. That could be a bad sign, not a good one.

In particular, look at how Visits/Keywords and Visits/Landing Pages interact.

Keywords/Landing Pages

I use this metric to track keyword clustering. This is particularly nice if you’re launching a new set of content. Once published and indexed you often see the Keywords/Landing Pages metric go down. New pages may not attract a lot of traffic immediately and the ones that do often only bring in traffic from a select keyword.

However, as these pages mature they begin to bring in more traffic; first from just a select group of keywords and then (if things are going well) you’ll find they begin to bring in traffic from a larger group of keywords. That is keyword clustering and it’s one of the ways I forecast SEO traffic.

Visits/Indexed Pages

I like to track this metric as a general SEO health metric. It tells me about SEO efficiency. Again, there is no real right or wrong number here. A site with fewer pages, but ranking well for a high volume term may have a very high Visits/Indexed Pages metric. A site with a lot of pages (which is where I do most of my work) may be working the long-tail and will have a lower Visits/Indexed Pages number.

The idea is to track and monitor the metric over time. If you’re launching a whole new category for an eCommerce site, those pages may get indexed quickly but not generate the requisite visits right off the bat. Whether the Visits/Indexed Pages metric bounces back as those new pages mature is what I focus on.

Landing Pages/Indexed Pages

This metric gives you an idea of what percentage of your indexed pages are driving traffic each week. This is another efficiency metric. Sometimes this leads me to investigate which pages are working and which aren’t. Is there a crawl issue? Is there an architecture issue?  It can often lead to larger discussions about what a site is focused on where it should dedicate resources.

Measure Percentage Change

Once you plug in all of these numbers and generate the calculated metrics you might look at the numbers and think they’re not moving much. Indeed, from a raw number perspective they sometimes don’t move that much. That’s why you must look at it by percentage change.

SEO Metrics by Percentage Change

For instance, for a large site moving the Visits/Keyword metric from 3.2 to 3.9 may not look like a lot. But it’s actually a 22% increase! And when your SEO traffic changes you can immediately look at the percentage change numbers to see what metric moved the most.

To easily measure the percentage change I recommend creating another tab in your spreadsheet and making that your percentage change view. So you wind up having a raw number tab and a percentage change tab.

SEO Metrics Analysis

I’m going to do a quick analysis looking back at some of this historical data. In particular I’m going to look at the SEO traffic increase between 3/23/08 and 3/30/08.

SEO Metric Analysis

That’s a healthy jump in SEO traffic. Let there be much rejoicing! To quickly find out what exactly drove that increase I’ll switch to the percentage change view of these metrics.

SEO Metrics Analysis

In this view you quickly see that the 33% increase in SEO traffic was driven almost exclusively by a 28% increase in Keywords. This was an instance where keyword clustering took effect and pages began receiving traffic for more (related) query terms. Look closely and you’ll notice that this increase occurred despite a decrease of 2% in number of Landing Pages.

Of course the next step would be to determine if certain pages or keyword modifiers were most responsible for this increase. Find the pattern and you have a shot at repeating it.

Graph Your SEO Metrics

If you’re more visual in nature create a third tab and generate a graph for each metric. Put them all on the same page so you can see them together. This comprehensive trend view can often bring issues to the surface quickly. Plus … it just looks cool.

Add a Filter

If you’re feeling up to it you can create the same dashboard based on a filter. The most common filter would be conversion. To do so you build an Advanced Segment in Google Analytics that looks for any SEO traffic with a conversion. Apply that segment, repeat the Visits, Landing Pages and Keywords numbers and then generate new calculated metrics.

At that point you’re looking at these metrics through a performance filter.

The End is the Beginning

Circular Google Logo

This SEO metrics dashboard is just the tip of the iceberg. Creating detailed crawl and traffic reports will be necessary. But if you start with the metrics outlined above, they should lead you to the right reports. Because the questions they’ll raise can only be answered by doing more due diligence.

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Comments About SEO Metrics Dashboard

// 6 comments so far.

  1. Dennis // December 21st 2010

    I like the idea, but I don’t quite follow on how to gather the data. Are you using advanced segments? Also do you filter for just unique visitors?

    Would love to see a screenshot of your graphs.

  2. aj // December 23rd 2010

    Thanks Dennis, I’ll see if I can update the post with some better screenshots to make it clear how to gather the data and what the graphs look like as well. I appreciate the feedback!

  3. Miles // December 22nd 2010

    Nice article and a useful resource, but I agree with Dennis that it’s a little hard to visualise the end product and what is trying to be achieved.

  4. aj // December 23rd 2010

    Thanks for the kind words Miles. I’ll try to update the post with some more detail. The end product is actually that week-by-week Excel spreadsheet. Though, admittedly, it’s tough to see on the blog post. Once you have that data, you can measure it by percentage or create graphs. Based on the feedback I think I’ll either update this post or create another one to fully detail the process.

  5. Otimizar Site // December 23rd 2010

    Good post, but where is the Dashboard?

  6. aj // December 23rd 2010

    The dashboard is that week-by-week spreadsheet of data. Though having it calculate percentage change and/or graphing it is certainly an easier way to digest the information.

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