I am still trying to wrap my head around phrase match and exact match. Once I start to think I understand it, I uncover new treasures.
There have been several posts on the 30DC, Immediate Edge and this forum about what these numbers mean. Brent and others have already contributed to a lot to this topic. But...
Here is what I keep running up against: The exact search traffic is sometimes MUCH less than the broad or phrase match traffic. Where did it go? So the follow up question then is, how important is it?
For example, my top three major phrases that I am targeting have the following search data (not my real niche, but considering it - these are real numbers though)
fuzzy cat pajamas
SEOT Broad: 6214
SEOT Phrase: 5078
SEOT Exact: 33
cat sweaters
SEOT Broad: 6214
SEOT Phrase: 5068
SEOT Exact: 137
cat underwear
SEOT Broad: 2279
SEOT Phrase: 1859
SEOT Exact: 22
[This is all-regions data from the google adwords keyword tool, and using the formula: (monthly searches/30.5 days)*0.42, or equivalently, monthly searches*0.0138]
I would rather use the exact match terms with the highest traffic, but I can't find them! For example, a 3 word phrase has 6 permutations:
fuzzy cat pajamas
fuzzy pajamas cat
cat fuzzy pajamas
cat pajamas fuzzy
pajamas cat fuzzy
pajamas fuzzy cat
I put all of these permutations in the Adwords keyword tool, and ask for synonyms and new ideas for keywords, and the highest exact match data I get are the one shown. Most of the other suggestions give me the "Not enough data" line. Definitely not enough traffic shown in any of the other keyword combinations or suggestions that would make up the difference between exact and phrase match. This happens often.
I know people are adding words to the beginning and end of these phrases:
"looking for fuzzy cat pajamas"
"sexy fuzzy cat pajamas"
"are fuzzy cat pajamas in style?"
...
But do all of these possibilities really add up to more than 12000 searches per day? In other words, the highest exact match found only accounts for about 0.5% of the total searches that make up the phrase match data.
There might be that many different combinations of words types in that include the phrase match, but I am skeptical. Does anyone really know how google calculates these numbers? I know there is some fudging with broad match, because it can match plurals and related terms, so is there some funny business going on with exact match like that?
If it really is just a lot of low-volume words at the beginning and end of each phrase that make up the phrase match vs. exact match discrepancy, and google is giving me the highest exact match phrase, then I just have to go with that. But if there is more going on, then I would like to know. Has anyone had similar experiences? Can anyone shed light on this mystery?