| Keyword Research Basics For SEO | | | | exist in all data – the thing I like about using |
| | | | | Google is that at least we know more about what's |
| I've said it before and I'll say it again … there is no | | | | adjusting the data. |
| more important step in the SEO process than | | | | OK – so from there we need to organize the |
| keyword research. One could make a compelling | | | | data into a more useful set of information. To do |
| argument for link building or for architecture or for | | | | this one needs to understand the columns of data. |
| copywriting but at the end of the day – ranking | | | | The first column is the keyword, the second you'll |
| highly for keywords that either don't convert or | | | | see is a link to the term on Google Insights. We'll get |
| which you close up shop waiting to rank for isn't | | | | into this later. The next is Global Monthly Searches |
| going to help too terribly much so in my opinion – | | | | – this is the average number of searches/mth |
| I'd put keyword research higher in importance. In | | | | worldwide. This can be helpful in some industries but |
| fact, when I'm building affiliate sites my first step is | | | | in ours – I'm only concerned with the US market |
| to look up keywords and competition levels – | | | | which is where my imaginary store ships to so I'm |
| then I look into products and websites and this | | | | more interested in the next column Local Monthly |
| method has worked very well indeed. It insures | | | | Searches which is the number of searches in the US |
| that I choose keywords that with both convert and | | | | (or whatever region I've specified when entering my |
| that I can rank for in a period of time and with an | | | | keyword phrases). This is the data I'm interested in. |
| effort level that matches the return. | | | | The last column is the search trend. This is |
| So – if you're doing keyword research, where | | | | extremely important but often overlooked. It is a |
| should you begin? Unless you're an affiliate | | | | column that wasn't visible by default in the old |
| marketer you already have a product and since | | | | current version. |
| you're the target audience of this article – I'm | | | | OK – let's organize our data by search volume. |
| going to assume that's the case. For the purpose | | | | Click on the "Local Monthly Searches" and you'll see |
| of this article I'm going to pick a hobby of mine and | | | | the keywords order by descending search volume. |
| also an area where I don't have a client and imagine | | | | With this data in front of me I then typically look |
| I'm doing keyword research for the imaginary online | | | | over to the Trend data to see what I can find there. |
| downhill mountain biking store DH Mountain Bikes. | | | | In our case we're going to see an increase in search |
| So Where To Begin ... | | | | volume in the spring and summer. This make sense |
| The first thing one needs to do is try to think up all | | | | of course. Think of your industry and see if the |
| the possible phrases that might apply. I call this my | | | | trends reflect what makes sense. |
| seed list … it's the list of phrases that my research | | | | I'm also looking for anomalies. Often I'll see phrases |
| starts with and is generally based on brainstorming. | | | | that jump for a single month. One has to know that |
| In this case the list would be:downhill mountain | | | | unless there was a news story or other event that |
| bikedh mountain bikemountain bike | | | | would spark interest in a single term or brand – a |
| The keyword tool I generally use first is Google's | | | | tool or some other such incident is likely falsifying the |
| keyword suggestion tool. There are other great | | | | data. You need to look at these trends and see if |
| tools but I've found Google's tool to be as accurate | | | | they make sense. If not – you need to either |
| as any other, the price is definitely right (free), and | | | | test the phrases with PPC or just skip over them |
| they're very good about providing the information | | | | and select different phrases. There's little worse as |
| required to know just how wrong the data is if you | | | | an SEO than focusing energies on a phrase only to |
| know where to look. So let's do just that. | | | | find that the search volume is not what was |
| Before we begin you'll need to head over to Google's | | | | expected based on the estimates delivered. |
| keyword tool at In the top left (for now) you'll see | | | | So now what? |
| a link to a beta version of the tool. Click on the link | | | | So what do you do once you've filtered your data |
| and you'll be at the new version of the tool which will | | | | down to just what you're interested in looking into |
| provide you easy access to much more information | | | | competition levels on. Well – the first thing I do |
| – as long as you know what to look for. So | | | | is to look to the trends to see if there are any |
| let's begin with our three seed phrases. | | | | phrases that obviously need to be filtered out. In |
| When you see the list you'll first have to know what | | | | this case there really aren't any high in the search |
| the numbers are. This tool is a tool designed for | | | | volume column. So the only thing left is to look at |
| AdWords and the default number is the Broad match | | | | the competition levels to see what makes sense. |
| which means it includes every phrase with the term. | | | | For our purposes we'll be dividing the list and |
| For example, the term "mountain bike" has a broad | | | | research into two categories: |
| match total of 2,740,000 which will include "downhill | | | | Major phrases – We need to decide what the |
| mountain bike", "mountain bike parts", "kona mountain | | | | long-term goals are going to be and the targets for |
| bike", etc. etc. What we want to know is how many | | | | the main pages. These will be the totally generic |
| searches are for "mountain bike". Down the | | | | phrases such as "mountain bike" and "downhill |
| left-hand side you'll see a set of check boxes. | | | | mountain bike" as well as brand or type specific |
| Deselect "Broad" and select "Exact" and you'll get | | | | phrases such as "specialized mountain bike" and "full |
| the Exact match numbers – the number of | | | | suspension mountain bike". |
| searches for the exact phrase. You'll quickly see | | | | Longtail phrases – We also need to look into the |
| that 2,740,000 drop to 450,000. This is how many | | | | types of longtail phrases we're going to want to |
| people searched the GOOGLE SEARCH NETWORK | | | | target. In this case I know I'll want to target |
| for "mountain bike". Why is this in caps – | | | | specific parts which will require new research. I will |
| because it's so commonly misunderstood that I | | | | spare you the details there but I'll end up with |
| definitely want your attention brought to it. | | | | specific models of components such as "hayes mx2". |
| This isn't the number of searches on – it's the | | | | You don't need to know what that is – you |
| number of searches on all sites who's search is | | | | need to know the makes and models in your industry |
| powered by Google. From YouTube to Beanstalk's | | | | (or other longatil opportunities such as "new york |
| blog search – it's all in there so the data starts to | | | | hotel with jacuzzi", etc.) |
| get skewed from the start. Then let's add in all the | | | | I generally would gather together a list of 15 or 20 |
| automated queries from rank-checking tools and just | | | | major phrases and 50 or 60 longtail phrases and |
| manual searches from you and your competitors and | | | | would then head into the competition analysis to |
| the data gets further skewed. This skewing will | | | | determine which phrases to move forward with. |