A “aspiring SEO & online Marketer” in Germany asked a interesting question via email and I as I replied to the email it seemed like one of those things that others might be interested in. Then I got another one from someone here in the US and that was a good one too. Net net here’s a blog post!
The first part of this post are the two email exchanges and the third part is a realization I have come to recently about a key ingredient that every great Analyst I have met seems to have.
Does a analyst need to know statistics?
Here is a excerpt from the reader’s email and my response…..
If I want to become solid at web analytics, will it make sense for me to learn and become very proficient at the bases of traditional statistics (while Im in college)?
I would absolutely recommend getting a solid grounding on basics (and maybe just a smidgen beyond basics) of statistics. This is helpful for two reasons:
# 1 Great analysts will know how to leverage the awesome power of statistics in their analysis, such as I have outlined in these two posts:
Both posts outline how you can apply even the simplest of the statistical principles to great benefit in doing analysis of your web data.
# 2 Increasingly traditional clickstream analysis is becoming less and less insightful (because of the inherent complexity of the web and customer behavior is increasing with every passing day).
For this very reason I have often recommended a focus on customer experience and on experimentation / testing, because both are the keys to unlocking the insights that are truly actionable. To truly exploit these options for your business you’ll need to be good at statistics.
As an example in my past life I have used the ACSI (American Customer Satisfaction Index) model for doing surveys and it is essentially a complex multivariate regression model on top of your survey data. It helps bring hard core quantitative power to something so qualitative as survey responses.
Likewise I if you do multivariate testing (or even A/B) you will need to know the basics of statistics as well as you analyze the data and make decisions based on when the result set has reached the desired confidence levels.
You don’t have to be a PhD in statistics, but being a smart person with a familiarity of statistics (basics and just a bit more) will be greatly helpful in your career in web analytics.
Perhaps the most critical skill, IMHO, is your ability to do analysis, your ability to think analytically and look at every problem differently. Anything you can get exposed to in order to become a great analyst will be awesome for you. This post might be helpful : Top Ten Signs You Are A Great Analyst.
Are you on the “business” or “IT” side?
Here’s the second interesting question….
My silly question is that do you see yourself as on the “business” side of Web Analytics or the “IT” side? Should there even be separate “sides”? The reason I ask is that my interest in Web Analytics is mainly on the what to measure, how to read results, how to present and communicate the result, and how to influence changes based on results. But then I want to have good understanding of the capabilities of the different tools and data quality, etc. It’s a dilemma to have to choose to be on one side or another.
From my experience if you want to be a Analyst then you are on the “business” side automatically. I have spent a few years as a part of IT but IT is not business and there is something core about the integration and mindset that is quite different. That’s based on my experience. So if you want to read data and analyze data and present it then it is better to be on/in the business side.
That said the best analysts have a deep technical side, in the sense that they need to be comfortable understanding javascript tags and urls and parameters and redirects and web pages etc so that they are good at one singular thing: How does the data get collected and then how it is interpreted by the analytics tool. That will ensure your long term success.
So in summary, get your salary and comp aligned to the business side and keep your friends, and smarts, on the IT side so you’ll can understand what’s happening behind the scenes. Then you are set for success. :)
The common trait that great analysts share.
Writing that last paragraph in the first email made me think of all the people I had thought were great analysts, and what did they have in common. One obvious thing was that they were good most or all of the things mentioned in the Top Ten Signs post. But after a bit more thought it struck me.
All great analysts I had ever known had amazing (maybe even crazy) formative life experiences.
They had done ok in school, they were not even remotely straight A’s (in terms of grades). But they had rebelled and had a crazy youth. Or trekked through the woods of Laos on a whim. Or had studied to be geologists or forest rangers. Or never finished college. Or had lived in four countries (mostly on very little money). Or had gotten into trouble with the law (in minor ways). Or… and I had a bunch of these examples.
Each person was, perhaps even unknown to them, a masterful student of life after having lived it very richly, and that had imbibed a ton of common sense and reality in them. They had observed the true complexity of life.
All of them ended up in Web Analytics more by chance than design. But their experience made them particularly adept at solving mysteries (and web analytics is more a mystery and less a puzzle).
I think their experiences encourages them not accept obvious answers, but rather look below the surface. They are very good at unstructured environments and don’t get paralyzed when all the questions don’t have answers.
I find that they are great learners and rather than being satisfied with being report writers they dig, they probe, they make noise, and hence are amazing at analysis.
So if you want to be a great analyst then take a detour or two in life, you don’t have to backpack through Laos but you can volunteer at a local shelter or start your own business or participate in a study abroad program or… well you get the drift.
If you are looking to hire a Analyst look a bit beyond the stand resume entries and look at the “life entries”, look beyond the nineteen years of experience with WebTrends or Omniture or HBX. If you have a choice then choose someone with a life experience because you can always teach them how to press buttons in a web analytics tool or write a formula in Excel.
[In case Damini or Chirag are reading this: Daddy is not saying that education is not important or that you should not shoot through school, college and university with straight A’s. It is important, and I am just sharing my a observation that might encourage you all to stop and try bungee jumping. Ok maybe daddy would strongly discourage that particular activity! :) ]
The reference to mushrooms in the title of this post is a reference of course to our esteemed web analytics world leader Mr. Eric Peterson’s background, his journey into analytics is quite a delightful read.
What do you all think? Do you agree, both on the value of statistics and aligning oneself to the business side and mushrooms? What’s been your path to Web Analytics? Any interesting stories you would like to share? How about some insightful career advice? Please share your feedback via comments.
I am speaking at the Emetrics summit in London this week and looking forward to the event (Mr. Finlay and Mr. Sterne have ensured each event they present is better than the last one!).
I was wondering if anyone would like to get together for dinner on Friday night, March 30th.
When we did this in November, over some excellent tapas, we talked about web analytics, our challenges and solutions, the weather, the Queen and pretty much everything in between.
We can meet at Hotel Russell (Russell Square, London WC1B 5BE) in the lobby at 1800 hrs and go some place close by (I am not familiar with the location so please suggest a appropriate place for dinner).
If you are interested please email me at blog at kaushik dot net (or add a comment below).
I would love to meet some of our blog readers, or web analytics practitioners, since we have so many in the UK.
Thanks.
According to the WOMMA Wombat2 2006 study roughly 88% of internet users “locate websites” using search engines. This is a rather obvious fact and we do our best with our Search Engine Optimization (SEO) and Search Engine Marketing (SEM) efforts to maximize our exposure via search engines (Google, Yahoo, MSN, Ask etc).
But as might be obvious not all search efforts are created equal. Specifically in the context of key words and key phrases for your business there are those that bring in gobs and gobs of traffic and then there is the, now famous, delightful long tail.
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This post is a bit long but, I think, it contains non-obvious challenging concepts from which anyone could benefit. You’ll dive deep into search analysis with these three parts:
- Compute: How thick is your “head”? How long is your “tail”?
- Learn: Definitions of Brand & Category phrases & why they matter.
- Execute: A new killer Search Marketing strategy.
Each part can be studied independently and I am confident you’ll find it beneficial. But my hidden agenda is to share with you a radical way to rethink your search marketing program. Please read the whole thing when you have time, I promise you’ll either end up making lots of money or saving lots of money!
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Understanding the Long Tail:
There is some confusion about what the “long tail” really refers to. Put simply it states: lots of key phrases individually account for little traffic by themselves but collectively all those key phrases often could account for a huge amount of traffic. The long tail phenomenon is not unique to search keywords, it has often been used to describe the success of amazon.com (powered by the efficiencies that the internet enables).
The below image illustrates the phenomenon. In the x-axis are individual key phrases (Note: Did you know that at some point last year the average number of keywords used in a search in Google reached three? If your business is still thinking in terms of one keyword you will miss a lot of traffic, the name of the game is key phrases.) On y-axis are the number of visits that resulted from each key phrase (you can also use Visitors if you want).
If you do this plot for your website you’ll notice that just a few key phrases (ok, or key words) will account for most of your visits. That’s your “Head”. Then there will be lots of key phrases that will each contribute little traffic, but there are lots of them. Meet your “Long Tail”.
Compute: How thick is your “head”? How long is your “tail”?
Go into the search report for your tool and look at the report that shows all the keywords for the last, say, six months (if you are a seasonal business pick the months that span your peak season).
It should look something like the above (mine above is from indexTools).
Dump the data into excel, just search key phrases by Visits would do. Do a simple graph that has key phrases on x-axis and Visits on the y-axis. This is what you’ll get (I had to cut off the tail in this picture because it was really really long!):
While your business might be different there is a high likelihood that your graph will look like the one above.
At approximately the tenth key phrase draw the green line, that’s your head. If you are in a unique and diversified business your head might be much be much thinner.
From my experience usually between five to fifteen key phrases form the head, or imagined another way your head, again from my experience (YMMV), approximately 55% to 75% of your traffic might be coming from your head keywords (scary!!).
What insights will you find?
- First you have something pretty to look at, even with the ugliness of Excel. :)
All joking aside visualizing your search engine traffic in this manner can give you a whole new perspective of the game. This can be so insightful that I think this graph should be standard in all web analytics tools.
- You’ll be humbled to find that while you have a world dominating search strategy of 500,000 key phrases that just ten or so result in almost all the traffic.
- You’ll learn what are the key phrases for which you bear the greatest exposure, someone else comes in a bids huge amounts for those then you’ll lose lots.
- It is likely that you’ll find that your Head portion is dominated by Brand key phrases and your Tail is dominated by Category key phrases.
This will in turn start critical discussions for your search team / Agency about the most effective SEO and SEM (Pay Per Click – PPC) strategy for your company.
Actions you might take:
- Undertake a critical analysis of your head and tail key phrases. Are 10 key phrases enough? Should three be more? Is your head only five keywords? What are the surprises in your long tail? Are all your main key phrases stuffed there? What are the keywords that people use to find you in your long tail that are surprising?
- Work with your key decision makers to document exactly what your Search strategy should be.
- Partner with your Search Agency (or internal search team) to evaluate if you are giving the right “love and attention” to your head and tail, and what changes need to be made to your current strategy?
Learn: Definitions of Brand & Category phrases & why they matter.
Definitions:
A brand key phrase (/key term / keyword) is typically defined as one that is connected to your “company existence”. So brand key phrases are your company name and names of your products and services, they are your trademark etc.
Category key phrases are typically those that are not directly connected with you and are more generic words and phrases that are typically connected to your industry / ecosystem.
Some examples might help understand these definitions. From the second figure on this post (the screenshot from indexTools):
Brand Key Phrases: occams razor, avinash kaushik, avinash, occams razor blog, 90/10 rule, 90 10 rule, kaushik.
Category Key Phrases: competitive intelligence, path analysis, how to measure success.
Some brand terms are obvious, name of the blog and my name. Other are not quite obvious, 90/10 is also considered a brand term because I had authored the 10/90 rule for magnificent web analytics success.
You’ll notice that category terms are specific to our industry but not specific to me/this blog.
Another example is that while Tide, Dawn, Bounty, Duracell and Oral-B are brand terms for P&G, clean clothes, sparkling dishes, kitchen supplies, portable power and whiter teeth are all category terms.
Why should you care?
When it comes to search key phrases this is the typical distribution you’ll see in your head and tail analysis:
Most of your visitors will find you using your Brand terms. That makes sense because more people who type in key phrases associated with you will find your web pages higher in the search results and hence will most likely end up on your website.
Your long tail will be full of Category key terms simply because these are people who are searching using generic key phrases. For these phrases others will show up in the search results and you’ll have to work much harder to show up on page one.
Another important distinction is that visitors who search using your Brand key phrases typically know who you are in some way, that should be obvious because they are using key words most associated with you. Visitors who use Category key phrases are usually not your customers, they are people early in the buying cycle, they are in a research mode, they are looking for options. Some Marketers refer to these types of Visitors as Prospects.
Bottom-Line: You should worship at the alter of the Category gods if you want to grow your business. You want to show up higher in search results when Searchers are still considering their options and have not made up their minds, it is a opportunity to capture new customers by exposing your brand early on.
Now let’s tie this all together……
Execute: A new killer Search Marketing strategy.
Many companies have a sub optimal SEO and SEM (PPC) execution strategy. When someone comes to a marketer with a pot of money to do search engine marketing they immediately collect the key words and key phrases that are most closely associated with the company and go bid on them. As a result often almost entire SEM budgets are expended on trying to show up # 1 in sponsored listing (to avoid the “cataclysmic event” of not showing up #1 - note the hint of sarcasm).
Go back to Excel and your search key phrase analysis and your head – tail graphs (it gets a bit more advanced from here on).
First split out the percentage of Visits in your head key phrases that result from SEM (PPC) vs Organic (SEO). Now do the same for your Tail key phrases.
Second identify the amount of budget that you are spending on your head and tail key phrases.
The result might look like this:
What insights will you find?
There is some amazingly powerful stuff here, let this table slosh around in your brain for a few minutes. :)
Most of your SEM money is being spent on the head key phrases. Remember that is just the top ten or fifteen keywords. There is also no solace in realizing that those key phrases are almost all your Brand key phrases which will typically not bring Visitors who are Prospects to your site (Prospects who will help you grow your business).
You might also notice that while you spend such a small part of your budget on your long tail key words (and they are in all likelihood Category key phrases) that you are able to get a huge bang for the buck.
Bottom-Line: If you had a effect SEO & SEM strategy should you have to pay to get traffic that you rightly deserve (your brand traffic)?
Actions you might take:
Optimize your SEO and SEM strategies.
If you have a effective search engine optimization strategy then you should show up with a high rank when people search for brand key phrases. Piling on and paying huge bid amounts through your SEM programs just to make up for the fact that your SEO strategy is ineffective or not working is sub optimal (and expensive).
It also means that all your SEM spend is focussed on getting people who know you. How will you grow (find prospects) your business if that is the case?
Killer Search Marketing strategy recommendation:
(Ok ok I know that the graphic above illustrates that I am not a good artist! : )).
# 1 Focus your SEM budgets deliberately to leverage the Long Tail (/Category key terms).
It is very hard to show up high when people search using Category (generic) key phrases, there are lots of “competitors”.
The most powerful use of your search marketing budget is to show up high in sponsored results (SEM / PPC) for Category key phrases. You’ll capture prospects and introduce yourself to them early in the consideration / buying cycle.
Another feature of Category terms is that they cost less, because they are usually generic and focus on niches and you won’t find lots of competition there, so you can use the same budget to bid on more key phrases (this is why ebay shows up on every term under the sun).
# 2 Focus all your SEO efforts on SEO’ing the heck out of your website / web pages for your Brand key terms (those that are in your Head).
This simplifies your SEO problem greatly by having you focus on, say, twenty key phrases. How hard can that be? It will be also be much easier to truly optimize your site with such hyper focus (vs. trying to globally optimize your site by SEO efforts that contain forty seven thousand keywords and key phrases).
If you do this well you’ll show up high when Visitors search using your brand key terms. It also means that you are not paying too much for people who already know you (you’ll reach them through your effort #1 above.)
Of course this will not happen over time but you can easily imagine how you can slowly ramp up your SEO efforts and start getting traffic on Brand terms and at the same time start bidding on your Category key terms.
This is not globally adaptable to 100% of the businesses on the web, but hopefully it challenges 100% of you to think different about your search strategy.
In Conclusion: The Summary:
Understanding how your head and the long tail stacks up can be a powerful source of insights. If you adapt your SEO and SEM strategy to effectively leverage your strengths (your brand) then you’ll be able to use your limited marketing funds to focus on attracting new customers to your franchise and do so at a beautifully optimal price point.
To the three of you who read this post in its entirety I want to express my deep appreciation for your kindness and patience. I hope that you have found some value for the time you have spent.
Please share your critique / feedback / insights via comments, I would really love to hear from you all. Thanks again.
