Where To Begin With SEM Benchmarking

benchmarkingI love benchmarking. I measure the progress of my diet (not going well), the MPG of my car, how my stock portfolio is doing against the market, whether my favorite football team is better than it was last year, and so forth. And, since everyone reading this is a search engine marketer, you are probably just like me – a benchmarking fiend.

Indeed, when it comes to SEM, benchmarking seemingly plays a big role. It’s hard to go through any SEM conversation without the mention of “deltas” and “year-over-year” data being discussed.

I’ve noticed, however, that many SEMs only take benchmarking half-way – they benchmark their internal performance, but fail to properly benchmark their performance vis-à-vis competitors or the overall SEM marketplace.

To understand the difference, consider this sports analogy. You are an aspiring 100-meter sprinter. As such, you train relentlessly day-in, day-out. On your first day of training, you clock a time of 19 seconds. After one week, you’ve reduced your time to 16 seconds, and after three months, you are down to 13 seconds. From 19 to 13 seconds is not too shabby; that’s a delta of 32%! This would be what I call “internal benchmarking.”

Now, let’s say that you decide to try out for the Olympics. You register at a regional qualifier event, ready to take that first step toward a gold medal. The gun goes off and you achieve another personal-best, 12.5 seconds! Unfortunately, the rest of the field comes in at between 9.8 and 10.1 seconds, so they were already doing interviews by the time you crossed the finish line. That’s an example of “external benchmarking.”

Internal SEM Benchmarking – It’s Pretty Easy

There are tons of tools available to conduct internal benchmarking of your SEM accounts. Inside AdWords, for example, you can easily benchmark virtually any metric against the prior period, the same period last year, or even a custom benchmark by simply turning on the “compare dates” feature in the date range drop down, as shown below:

benchmarks in adwords

I also like the dimensions tab in AdWords, which doesn’t do “delta” benchmarking, but does allow you to compare days of the week, geographies, devices, and other levers quite easily.

A sample of some of the things you can benchmark via dimensions is shown below:

dimensions tab benchmarks

So, if you simply want to know whether your profit has improved versus the same time last year, or whether a certain geography performs better than another, basic tools available inside Google and Bing will give you good data in short order.

External Benchmarking – Ah, There’s The Rub

For a lot of SEM-driven businesses, year-over-year growth is not the ultimate metric of success. That’s right – you heard that correctly – your SEM profit could grow substantially year over year and that might actually be a sign of failure.

How so? Well, let’s say you are in a fast-growing industry, like mobile app development. If the market is growing at 100% a year but your business is only growing at 50% a year, you are growing your business but losing market share.

The same scenario exists in search engine marketing; if you are doing a B+ job of SEM management and someone else is doing an A+ job, that effectively means that you are underperforming relative to your competition.

The challenge with external benchmarking is figuring out if you are actually the B+ or A+ SEM. Unlike internal benchmarking – which, as shown above, is easily measurable through deltas – you can’t just ask your competitors for a login to their AdWords account and instantly determine who has the better-optimized account.

Here are a few external benchmarking techniques that can collectively help you arrive at a grade for your SEM campaigns:

  1. The Lin-Rodnitzky Ratio. At PPC Associates, we’ve developed a simple way to calculate the health of an AdWords account, which we call the Lin-Rodnitzky Ratio(or L/R for short). The ratio is simply the CPA of all queries in your account with at least one conversion divided by the ratio of all queries in your account, regardless of whether a conversion occurred.

So, for example, if the CPA of 1+ conversion queries is $25 and the CPA of all queries is $75, the ratio is determined by dividing $75 by $25, for a score of 3.0. What we’ve generally found is that a well-optimized account has an L/R ratio of between 1.5 and 2.0.

Ratios over 2.0 tend to indicate excess fat in the account and ratios under 1.5 indicate an overly conservative account (usually too much focus on brand terms). You can learn more about the Lin-Rodnitzky Ratio here (pdf).

  1. SpyFu “Kombat.” SpyFu has a nifty tool called Kombat that allows you to compare your keyword set and ad spend versus those of up to two competitors. While I find SpyFu (and all keyword research tools) to be “consistently inconsistent,” I like the Kombat feature because it is a quick way to see whether competitors are doing something that you aren’t.

For example, if two of your competitors are heavily investing in a certain set of keywords and you are not, that’s usually a sign that you are missing an opportunity!

  1. SEM Growth vs. Industry Growth. As I noted above, if the growth of your overall industry is outpacing the growth of your SEM revenue and profit, that may indicate that you are not maximizing your SEM opportunity.

This is particularly relevant when you find that you always seem to be outbid by the competition for top keywords. In such an instance, you are either missing some SEM techniques (e.g., the right ad text to achieve good quality score, proper account structure, negative keywords, etc.), or your company is falling behind your peers (which is a problem that the SEM often cannot fix!).

  1. SEM Growth vs. Other Channel Growth. If other marketing channels are rapidly outpacing the growth of your SEM campaigns, this might indicate a problem with your SEM strategy. I list this test last because channel growth is frequently driven by externalities that have nothing to do with the quality of strategy or execution.

That said, an SEM campaign that is consistently underperforming on a year-over-year basis against other channels may be a sign that some tweaking needs to be performed.

All Benchmarking, All The Time

SEMs are in high demand today because we are data-driven and ROI-positive marketers. We are “profit centers” instead of “cost centers” (hello, branding agencies!). As such, benchmarking is a key tool in any SEMs toolbox.

It’s time, however, for us to up-level our benchmarking game. Internal benchmarking alone is reminiscent of Plato’s allegory of the cave; without external comparisons, it is impossible for us to differentiate between true success and the illusion of success. It’s time we all leave the cave!

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

Related Topics: Channel: SEM | Paid Search Column | Search Marketing: General

Sponsored


About The Author: is founder and CEO of 3Q Digital (formerly PPC Associates), a position he has held since the Company's inception in 2008. Prior to 3Q Digital, he held senior marketing roles at several Internet companies, including Rentals.com (2000-2001), FindLaw (2001-2004), Adteractive (2004-2006), and Mercantila (2007-2008). David currently serves on advisory boards for several companies, including Marin Software, MediaBoost, Mediacause, and a stealth travel start-up.

Connect with the author via: Email | Twitter | Google+ | LinkedIn



SearchCap:

Get all the top search stories emailed daily!  

Share

Other ways to share:

Read before commenting! We welcome constructive comments and allow any that meet our common sense criteria. This means being respectful and polite to others. It means providing helpful information that contributes to a story or discussion. It means leaving links only that substantially add further to a discussion. Comments using foul language, being disrespectful to others or otherwise violating what we believe are common sense standards of discussion will be deleted. Comments may also be removed if they are posted from anonymous accounts. You can read more about our comments policy here.
  • http://www.facebook.com/mr.larry.kim Larry Kim

    Hi David nice article. Have u checked out my free Adwords grader? R u at heroconf?

  • tony

    Hi David – really like the article. In relation to the The Lin-Rodnitzky Ratio do you think this is an overly simplistic view of adwords performance? It doesn’t take into account any assisted conversions or the value of higher funnel generic keywords that drive conversions to brand terms down the line? Turning off and or reducing bids on some of our higher cost keywords which appear to be poor performing in terms of last click conversions, has led to a decrease in the overall ROI of our accounts in the past…

  • http://www.alanmitchell.com.au/ alanmitchell

    Hi David,

    I’m a big fan of techniques which quickly and efficiently highlight areas of strength and weakness in sometime overly-complicated campaigns. One technique I often use is the 10% clicks rule (http://www.calculatemarketing.com/blog/techniques/the-10-percent-clicks-rule/), which allows you to highlight your ad groups which are most likely to benefit from expansion.

    I’m interested in your Lin-Rodnitzky Ratio, as it sounds very good in theory. However, surely it breaks down when you use larger and larger date ranges? For example, if you used a date range of 2 months, you might have an L/R ration of 2.5, but increasing the data range to 1 year, for example, will mean that more and more different searches will start generating conversions (i.e. there will be less skew at the head and more of a long tail), so the L/R ration might drop to 2.0? An even longer date range (i.e. 10 years) will means than more and more of your non-converting searches will start to convert, therefore lowering your L/R ratio closer to 1.0. Is that not right?

    I have tried this with multiple different campaigns, and the longer the date range I select, the more the L/R ratio creeps towards 1.0.

    Cheers,
    Alan

  • http://www.facebook.com/gohawks David Rodnitzky

    Alan, thanks for the comments! The L/R ratio, it turns out, does not break down over long ranges, simply because it is basically a measure of proper account structure, and a bad account structure will continue to be bad over weeks, months, and years!

    For example, let’s say you sell floor mats and you get matched on the word “yoga mats” – which you don’t sell. If you never realize this (which sadly occurs more often than you might think) you could have a high L/R ratio for years and years!

  • http://www.facebook.com/gohawks David Rodnitzky

    Tony, no doubt it is simplistic. It’s just an initial analysis of an account but I agree that it should be the “end all be all” – there is a lot more deep diving that you can do to get better data. Still, I find it a nice litmus test!

  • http://www.facebook.com/gohawks David Rodnitzky

    Yes, and yes (and sorry for the late reply – great seeing you at HeroConf)!

  • http://www.alanmitchell.com.au/ alanmitchell

    That is very true, but over a longer and longer date range, more and more of your unique search queries will start to generate at least 1 conversion, thereby reducing the L/R ratio toward 1.0.

    For example, all it takes is just one rogue conversion from your ‘yoga mats’ search query (which is probably very likely over a large enough time period and tens of thousands of clicks), and the search ‘yoga mats’ will be unfairly added to your Conversions > 0 data set, thereby massively reducing the L/R ratio.

    I think it’s a good rule of thumb for comparing the structure of campaigns within the same account, but due to the conversions > 0 requirement not growing as the amount of data grows, this will naturally create a bias.

    Perhaps a more relative benchmark, such as ordering keywords highest to lowest by the number of conversions, then dividing the spend of keywords which generated the top 20% of conversions, by the spend of keywords which generated the bottom 20% of conversions, would allow the L/R ratio to maintain its relativity with any amount of data and over any date range?

  • Fran Nagaro

    Really good article. But surprised to read about a Rodnitzky ratio and find out at the end of the post that is actually yours. Aren´t that sort of things named by others as a recognition for good work?

 

Get Our News, Everywhere!

Daily Email:

Follow Search Engine Land on Twitter @sengineland Like Search Engine Land on Facebook Follow Search Engine Land on Google+ Get the Search Engine Land Feed Connect with Search Engine Land on LinkedIn Check out our Tumblr! See us on Pinterest

 
 

Click to watch SMX conference video

Join us at one of our SMX or MarTech events:

United States

Europe

Australia & China

Learn more about: SMX | MarTech


Free Daily Search News Recap!

SearchCap is a once-per-day newsletter update - sign up below and get the news delivered to you!

 


 

Search Engine Land Periodic Table of SEO Success Factors

Get Your Copy
Read The Full SEO Guide