The importance of a combining SEO and SEM to optimize online performance is not a new idea. Paid advertising programs cannot be successful without top ranking natural search results and vice versa. That is why most large scale organizations typically have experts focused on each practice separately. Every once and a while, it’s important to combine forces, and make sure that your online advertising program is optimized across paid and organic search.

When SEO and SEM teams are operating independently, there are often high volume terms that drive traffic from only one of the two search channels. These terms are often under-optimized. For example, if you have a term for which traffic is only driven through paid search clicks, there is significant opportunity to focus SEO efforts on obtaining organic ranking on these terms.

Conversely, if your organization is generating revenue from organic search terms that don’t match any of the keywords in your paid search program, there is likely incremental revenue that you can capture with paid keyword expansion.

So, occasionally paid and organic search teams need to work together, but what’s the best way for a large scale organization to address this analysis?  It would be impossible to compare organic and paid search coverage on every one of the millions of search terms that are driving traffic to your site.

How To Look At Large Data Sets For Opportunities

As with all analysis we do on large data sets, it is important to take a management by exception approach. Start with the high-volume and top converting search queries in each channel. Once you have filtered to find the most impactful search queries, the next step is to evaluate how they perform.

Instead of comparing the number of impressions, clicks and conversions that each channel is driving, the easiest way to evaluate coverage is to calculate the click-share of each channel. Depending on the type of tracking system you are using there are a variety of ways to get this metric, but to keep it generic: match raw query search terms across paid and organic results, sum the total clicks, and calculate the paid clicks as a percentage of that total.

This single metric, “Paid Click Percentage”, makes it easy for an advertiser to quickly identify holes in either paid or organic search coverage. Again, using the management-by-exception approach, you want to identify outliers first when tackling this analysis.  Below is an example report.

Paid & Organic Search Term Report - High Paid Click Percentage

Search terms for which the majority of traffic is from paid search.

 

In the screenshot above, by filtering for paid click percentage greater than 75%,  we have quickly identified some key revenue driving terms for our paid search program that are receiving  very few (or zero) clicks from organic search results.

Because searchers are more inclined to click on organic results instead of ads, we know that a term with zero organic clicks must not be resulting in first page organic results. Sorting these terms by paid search revenue impact will give the organic search team a ranked list of queries (and landing pages) to optimize against, allowing them to be more efficient at prioritizing SEO projects.

After you address prioritization of organic search efforts, you can use this same report to identify keywords that should be added or refined in your paid search campaigns. See the screenshot of a sample set of search terms below.

Paid & Organic Search Term Report - Low Paid Click Percentage

Search terms where the majority of traffic is derived from organic search results.

 

It is important to investigate the list of terms that are getting a small percentage of traffic from paid search to figure out what is causing the holes. In the case above, the paid search campaign might be missing the keyword “acme marathon jacket,” the keyword bid might be below the minimum first page bid, or the keyword may have a low quality score.

A quick search for this term across your paid search campaign will help you understand if you simply need to add a new term, or if you need to adjust creative or bids in order to reach the first page of results.

Refine, Review, Repeat

As I mentioned in the beginning, a comprehensive approach to online advertising in which paid and organic channels work together will help you drive maximum revenues from your program. Identifying holes in paid and organic search campaigns using the method described above should help improve overall performance, but remember: it’s not a one-time project.

Since websites and advertising programs are continually changing, this analysis should be done on a regular basis. If your organization is large enough to have disparate paid and organic search teams, set up a regular meeting to ensure your online initiatives are working together. This approach should deliver a more complete and efficient marketing program.

Opinions expressed in the article are those of the guest author and not necessarily Search Engine Land.

Related Topics: Channel: SEO | Enterprise SEM | Enterprise SEO

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About The Author: is VP of Marketing for Marin Software, bringing a breadth of online marketing, web analytics and search experience to the company.

Connect with the author via: Email | Twitter | LinkedIn



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  • http://en.gravatar.com/rasculous David Knockton

    Refine, Review, Repeat…. and have the courage to Fail Faster. Great article

  • http://www.calculatemarketing.com alanmitchell

    Hi Matt,

    Some great tips on looking at keyword gaps between natural and PPC search, and trying to fill those holes.

    I agree that PPC can be powerful at driving an SEO strategy (and vice versa), and one technique I often use to drive an SEO strategy is to pick out themes in AdWords search query reports:

    http://www.calculatemarketing.com/blog/techniques/search-query-report-keyword-research/

    Instead of focusing on individual keywords or phrases, I sometimes find it makes more sense to instead see which types of keywords are working, and use these themes as guidance to shape an SEO strategy.

    Cheers,
    Alan

 

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