keyword research

melina · June 17th 2006, 12:08 AM

Let's say If someone was launching a site industry specific . How would one go about determining, on the keyword research side, how big (or small) the "tail" of the search terms in that industry are?

Basically, looking for a methodology to measure the value of being listed in the top for a few, hig volume search terms in the head vs. the value of having rankings for the thousands of smaller terms making up the tail. Other than simply using intuition and logic, one can't seem to think of a good way to do it.

silvermoon · June 18th 2006, 02:50 AM

Hi,
To approach an "industry," I'd want to get a look at what works for
that industry's longer standing niche publications. What concerns
re-surface regularly? Are they adequately addressed? Would these concerns be of
more interest to customers or colleagues?

Would it be helpful to look at how a customer hears about and chooses
who to hire or buy from?

silvermoon

Interlink2010 · September 7th 2010, 06:50 AM

I can only gather the number of webpages with the particular keyword, or the number of times people have searched for it.

Is that enough?

(Please don't shove your affiliate products on me. I want answers not sales pitches).

The-Magic-Of-Making-Up-Review

hasina · September 22nd 2010, 02:24 PM

I am not aware of any keyword research tools that are "very accurate," and at best they tend to be "somewhat helpful."

There are several issues here. First, no tool is more reliable than the data it is "fed," and neither Google nor Yahoo provide their search data to third parties. WordTracker uses data from a pool of smaller search engine sites, and often shows high traffic levels for very bizarre search phrases. (In my experience, WordTracker's data includes "fake traffic" including traffic from other keyword-research bots.)

In addition, even your own data is not complete: you may find that your bidding draws 150 impressions per day for searches for "where dubai" but in fact, your ad might not be shown for 1,000 other searches done each day. (Your data may also be "over-inclusive," as you may be including searches through the Search Network, which aren't done at Google, or traffic on the Content Network).

Second, search patterns change over time; the number of searches for "Santa Claus' address" rises in December and probably zeroes out from January to October. In addition to predictable seasons like that, there are random fluctuations as well as "surges" (when Jay Leno mentions widgets, there may be a bunch of web searches in the next 24 hours).

There are also "cycles" for certain search terms. For example, searches for "banned-keyword" peak on weekends (Friday and Saturday night), while searches for "football scores" peak on Sunday and Monday. For some search terms, it's possible that 80% to 90% of the total searches occur on a single day each week ("lotto numbers"), or even a single day each month or each quarter ("Fed interest rate change").

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