TheDowser Keyword List User Guide


Introduction


TheDowser Keyword List
is a compilation of keywords and related keyword profitability data.

The profitability data related to each keyword is known as “Keyword Profitability Metrics”.

“Keyword Profitability Metrics” allow you to perform in-depth keyword profitability & competition analysis and comprise the following set of data:

• No. of Words in Search Term
• Average Bid Price
• Searches
• Results
• KEI
• Number of Google Ads
• All InTitle Results
• KEI2
• PageRank of the #1, #2, #3 & #10 ranked web pages
• Back Links of the #1, #2, #3 & #10 ranked web pages
• URLs of the #1, #2, #3 & #10 ranked web pages


The definitions of each of these “Keyword Profitability Metric” are detailed below. Understanding the definitions of each of these “Keyword Profitability Metric”
will allow you to correctly identify profitable niches and ultimately your online profits.


TheDowser Keyword List Viewer Interface

There are two components to TheDowser Keyword List Viewer Interface: Quick Filters Pane and the Keyword Data Pane.


Quick Filters Pane 

In this pane, you can easily filter TheDowser Keyword List Data based upon your own set of criteria.

The 6 Quick Filters available within TheDowser Keyword List are as follows:

  • Contain A Word (i.e. Show keywords with)
  • Without A Word (i.e. without)
  • Average Bid Greater Than (i.e. bid >)
  • Searches Greater Than (i.e. searchers >)
  • Google Ads Greater Than (i.e. ads >)
  • KEI2 Greater Than (i.e. KEI2 >)

For example, if you wish to view only keywords containing the word 'free', simply type in the word 'free' (without quotes) into the first Quick Filter box.


Power Tip: Use the without box to enter a word you DO NOT wish to view within the filtered list. For example, if you type 'call' into the Quick Filter box, any keyword that contain the word 'call' will not appear in the filtered list. In the bottom screenshot, notice that 'free conference call' does not appear in the filtered results because this keyword contains the word 'call'.
 


Similarly, you can enter a filter criterion in ANY, SOME or ALL of the 6 Quick Filter boxes to filter the Keyword List results.






Keyword Data Pane 

This pane displays the list of keywords contained in TheDowser Keyword List as well as the related “Keyword Profitability Metrics” of each keyword.

 

TheDowser “Keyword Profitability Metrics” Definition

Below are the definitions of each “Keyword Profitability Metric”:
 

Keyword

This is the “keyword” or “search term” online visitors’ use in search engines to perform research or to search for information, a product or service.


No. of Words in Search Term

This refers to the number of words a “search term” is made up of.

Why is the number of words a “Keyword Profitability Metric”?

The reason is simple.

The longer the “search term”, the more targeted it is.

Consider the following example:

Let’s assume you sell “lawn mowing equipment”.

There are many different search terms that online visitors use to locate your product or your competitors’ product, for that matter.

Of these, the most general would be the search term “lawn”.

The search term “lawn” is a single word.

So when a visitor types in “lawn” in the search engine, we don’t know for sure whether this visitor is looking for lawn mowing equipment or lawn blue-prints. This visitor is very likely just starting out his/her research on this topic.

At this initial stage, this visitor probably doesn’t really know what he/she is really looking for. Or, this person could simply be researching on “lawn” in general.

So you can say this person is in a “research” mode.

So whilst the “lawn” is a very frequently searched term, only a small percentage of these searches may be targeted to your market.

“lawn mowing” is a two-word phrase. This is an example of a more specific keyword that provides a little more insight on what the visitor is looking for.

Based on these two keywords “lawn” and “mowing”, you can infer that this person is interested in information related to “lawn mowing”.

So “lawn mowing” is a much more targeted keyword than “lawn”, for the product you’re offering.

“best lawn mowing equipment” is a four-word phrase that more accurately describes the intent of the online visitor i.e. this visitor is interested in finding out more about the best lawn mowing equipment in the market – This four-word phrase is therefore much more targeted to your product than the first two keywords.

Another advantage of longer search terms is that they are easier to optimize for, and rank highly on search engines.

How to Interpret ‘No. of Words’ Data:

The higher the word count, the more specific and targeted the keyword.


Average Bid Price

This is the average bid price of the keyword derived via Google Adwords Traffic Estimator.

The average bid price is indicative of the price website owners are willing to paying to display their ads on Google Search Engine for this keyword.

Website owners use “pay-per-click” advertising to drive targeted traffic to their website. The cost of a keyword for a “pay-per-click” ad is dependant on the number of advertisers bidding for the keyword.

The more advertisers bidding for a keyword, the higher the average bid price of the keyword.

In most cases, the average bid price is also a good approximation of the “value” of a top 10 ranking for a keyword, since the top ranked sites receive an equal amount of targeted traffic as websites who purchase “pay-per-click” ads – the difference being that the top ranked sites do not have to pay Google for their rankings.

How to Interpret ‘Average Bid Price’ data:

The higher the average bid price, the more competitive the keyword.

However, websites publishers that derive income from Google AdSense will find keywords with high average bid prices valuable, since Google pays these website publishers a share of the revenues earned each time a website visitor clicks on any of the AdSense ads on their webpage.


Searches

This refers to the number of times a keyword has appeared in the Wordtracker database (over a 120 day period).

Wordtracker is the world’s leading keyword research service and compiles its keyword data mainly from two of the largest metacrawlers, Dogpile and Metacrawler.

How to Interpret ‘Searches’ Data:

This figure tells you how many times a keyword was searched on.

The higher the number of ‘Searches’, the better.

This data is useful when determining the ‘popularity’ of a keyword e.g. fishing

The higher the number of searches, the higher the number of online visitors who are search for information relating to the keyword.


Results

This refers to the number of competing web pages in Google that contain the exact keyword phrase (also known as “phrase match”).

How to Interpret ‘Results’ data:

Consider the search term ‘web hosting’.




The number of competing web pages in Google (i.e. ‘Results’ data) for “phrase match” results is 34,900,000 - which is much lower than “broad match” results - See “broad match” results below.)

“Phrase match” example for “web hosting”

…XYZ is a premier web hosting company…

Notice the keywords “web” and “hosting” appear side-by-side.

On the other hand, for “broad match” results, competing web pages include those that merely contain the keyword somewhere within the web page and not necessarily in the exact sequence.



The number of competing web pages in Google (i.e. ‘Results’ data) for “broad match” results is 80,500,000 - which is much higher than “phrase match” results.

“Broad match” example for “web hosting”

…XYZ is a hosting company. We are number #1 on the web…

Notice the words “web” and “hosting” are on the same web page, but are not positioned next to each other.

As such, ‘Results’ based on “phrase match” are more reflective of the true number of competing web pages for a given keyword.

The lower the number of ‘Results’, the less competitive the keyword.


KEI (Keyword Effectiveness Index)

Keyword Effectiveness Index (KEI) was invented by a leading SEO Expert, Sumantra Roy of 1st Search Engine Rankings (http://www.1stSearchRanking.com).

KEI is a measure of how effective a keyword is for your web site.

KEI is computed based on “Searches” data and Google “Results” data.

How to Interpret ‘KEI’ Data:

Generally, the higher the KEI, the better the keyword effectiveness.

High KEI keywords are usually easier to optimize and rank highly on major Search Engines.

The exception is when high KEI keywords also have unusually large number of competing web pages.

Consider the following example:



“web hosting” has a high KEI of 49,244.69 and may seem like an “effective” keyword to optimize for, but the truth is, you should not optimize for this keyword because it has far too many competing web pages - close to 35 million to be exact!

KEI vs R/S Ratio

KEI is a better indicator of keyword effectiveness than the popular Results-To-Searches Ratio, or R/S Ratio (used by many other keyword research software).

This is because KEI takes into account the relative scaling of both demand and supply of a keyword while the R/S Ratio does not.

Consider the following example:



“msn web hosting” has a R/S Ratio of 6.56, which is lower than the R/S Ratio of “yahoo web hosting”, which is 7.07.

So if you only compare the attractiveness of both keywords based on R/S Ratio, you’d wrongly conclude that “msn web hosting” is a more attractive keyword, because the R/S Ratio is lower (for R/S Ratio, the lower, the better).

In fact, “yahoo web hosting” is a much more “attractive” keyword because of the relatively higher volume of traffic it can attract (i.e. 12,721 searches), relative to the number of competing web pages.

The higher KEI for “yahoo web hosting” of 1798.04 correctly identifies the relative attractiveness of this keyword compared with the lower KEI (225.96) keyword phrase “msn web hosting”.


Google Ads

‘Google Ads’ refers to the total number of Google Ads for a keyword/key phrase.

In other words, it tells you the total number of advertisements that show up in the Google Search Engine.

This data is based on the total number of Google Ads displayed in the United States.

How to Interpret ‘Google Ads’ Data:

The higher the number of Google Ads, the more competitive the keyword for the pay-per-click marketer.

On the other hand, the higher the number of Google Ads, the more potential advertising revenue for Google AdSense publishers!


AllInTitle

This refers to the number of competing websites in Google search engine, where the keyword appears in the page title (also known as the <TITLE> tag) of web pages.

AllInTitle results is more indicative of the ‘true’ competition of a keyword than “phrase match” or “broad match” results as most website owners place the search terms they want to target in the page title.

You can assume that all web pages that appear in the Google search results when the “allintitle:” operator is used are directly competing to rank highly for the keyword.

So the lower the number of AllInTitle results, the less competitive the keyword.


KEI2

Similar to KEI definition above, except KEI2 is computed based on “Searches” data and Google “AllInTitle Results” data.


PageRank #1, #2, #3 & #10

This refers to the PageRank of the Top 1, 2, 3 and 10 ranked web pages in the Google search results for the keyword.

PageRank is a ‘scoring’ system invented by Google, used to ‘rank’ web pages in its database.

How to Interpret ‘PageRank’ Data:

The range of PageRank scores is from 0 to 10, 10 being the highest.

The higher the PageRank of a web page, the more difficult it is to compete with that web page.

In general, if the PageRank of your web page is 4 or lower, it’ll be difficult to compete against web pages with a PageRank of 6 or higher. On the other hand, it would not be too difficult to compete with web pages that are PageRank 5 or lower, if you optimize your web pages well.

Note: There may be instances where a web page either has no PageRank or PageRank data is not available. In such instances, PageRank data will show as 0.


Back Link #1, #2, #3 & #10

This refers to the number of web pages that are linking to the Top 1, 2, 3 and 10 ranked web pages in the Google search results for the keyword.

How to Interpret ‘Back Links’ Data:

The number of back links (or incoming links) pointing to a web page is an important indicator of the competitiveness of the keyword – the higher the number of back links, the more competitive the keyword.

In general, it would take very little effort to obtain a top 10 ranking for a keyword if two or more websites listed within the top 10 search results have less than 100 incoming links.

On the other hand, you probably want to avoid competing for a search term if majority of websites listed within the Top 10 search results for that search term have over 500 back links, unless your website has a comparable number of back links.

Rather than compete with these websites, you should research on less competitive keywords by using TheDowser Keyword Software to discover more specific and related search terms.

Note: There may be instances where a web page either has no back links or back link data is not available. In such instances, back link data will show as 0.


URLs #1, #2, #3 & #10

This refers to the actual Top 1, 2, 3 and 10 ranked web pages in the Google search results for the keyword.

How to Interpret ‘URL’ Data:

You can copy and paste these URLs in your web browser to learn more about these top ranked websites.


 

Bonus Section: FAQ #1 – Using TheDowser Keyword List To Find Profitable Niches For AdSense Sites

Since we launched TheDowser Keyword List, by far the most frequently asked question is as follows:

"How can I use TheDowser Keyword List to find profitable niches to build AdSense sites around"?

Here’s our answer...

Using TheDowser Keyword List to identify profitable niches to build AdSense sites around is REALLY SIMPLE and EFFORTLESS… because we’re already DONE ALL THE HARD WORK for you i.e. by compiling the “Keyword Profitability Metrics” for each keyword.

(In the context of TheDowser Keyword List, a "niche" means the same thing as a "keyword" and vice-versa!!!)

As an AdSense publisher, the most important “Keyword Profitability Metrics” you should focus on are:

  • Average Bid Price

  • No. of Google Ads

  • No. of Searches

  • AllInTitle

  • KEI2

And if you're aiming to achieve a Top 10 ranking for a keyword, you'll want to analyze the following “Keyword Profitability Metrics” as well:

  • PageRank #1, #2, #3 & #10

  • Back Links #1, #2, #3 & #10

Let's look at each “Keyword Profitability Metric” in detail:


** Average Bid Price **

The higher this value the more you'll be paid each time a visitor clicks on your AdSense ads.

TheDowser Keyword List - Full Edition offers you over 4,000 keywords with average bid prices above USD10/click!

But DO NOT blindly create an AdSense site around a high paying keyword!

This is because a high paying keyword is also a VERY COMPETITIVE NICHE!

Unless you are an expert in Search Engine Optimization, we suggest you stay away from high paying keywords initially.

If you are new to AdSense publishing, the best niches to target are those with average bid prices of between USD2 and USD5 dollars.

TheDowser Keyword List - Full Edition offers you over 12,000 keywords that fit this criteria.


** Number of Google Ads **

For AdSense publishers, the more Google Ad inventory, the better.

Try to look for niches that have a minimum Google Ad inventory of 9.

Remember, NOT ALL Google Ads that show up in the Google search results will show up as an AdSense ad on your content-targeted website.

This is because a lot of AdWords advertisers switch-off "content-targeting"... meaning they specifically DO NOT want their ads displayed on content-targeted websites like yours.

So if you build an AdSense site around a niche with too few Google Ad inventory, you may find your site showing AdSense Ads that are "Public Service Ads by Google" and do not provide you any revenue!


** Searches **

This tells us the number of times a keyword is searched over a 120 days period as reported by Wordtracker, the world's leading keyword research service.

Obviously, the higher this number, the better.

You'll NOT want to build a site around a keyword that NO ONE is searching for!

Generally, target a niche with a Wordtracker search count of over 100, although this data should be analyzed alongside ‘AllInTitle’ & ‘KEI2’ data.


** AllInTitle **

This tells us how many web pages contain the keyword in their title tag and is indicative of your "real" online competition.

So, the lower this number the better.

Try choosing a niche with less than 500,000 competing "AllInTitle" web pages, although this data should be analyzed alongside 'Searches' & ‘KEI2’ data.


** KEI2 **

This tells us the effectiveness of a keyword in relation to the keyword 'demand' (i.e. number of 'Searches') and 'supply' (i.e. 'AllInTitle' competing webpages).

A keyword with a KEI2 value of 100 or higher is considered a good keyword, although this data should be analyzed alongside 'Searches' & ‘AllInTitle’ data.


** PageRank and Back Links **

If you're aiming for a top ranking for a keyword (which you should, in the medium to longer term), you'll want to analyze the PageRank and number of Back Links of the top 10 web pages for that keyword.

To this end, you'll want to target keywords where the top 10 web pages have a PageRank of 5 or less and have less than 500 Back Links.

In summary, all the above “Keyword Profitability Metrics” targets should be used as a guide only.

Once you have identified a profitable niche using TheDowser Keyword List, you should perform further keyword research (e.g. discover related and more specific search terms) using TheDowser Professional.
 

Congratulations!

If you've read this far, you deserve to give yourself a nice pat on your back... as you are amongst the very few smart marketers who truly understand exactly "how to identify a profitable niche".

Profiting online is NOT difficult... as long as you know precisely know how to identify a profitable nice!

So get cracking on your AdSense sites and dominate a couple of profitable niches... before your competition does so!


To Your Online Success!
 


Max Pastukhov, Fabian Lim & Ivan Wong
TheDowser Development Team