Average Keyword Saturation for Google, MSN and Yahoo
When deciding upon keyword placement we all try to get the most out of our target keywords saturation. In the same time no one wants to get penalized by accidentally inserting too many keywords in the page copy, or by including too many words between H1 tags. Since search engines would never publish the exact numbers for maximally alowed keyword frequency or keyword prominence, all we can do is just study top pages in SEPRs and make more or less informed guesses. Or we can conduct an experiment, and calculate the average numbers for top pages in the results of the major search engines: Google, Yahoo! and MSN. For the tables below I used data provided by WebPosition software, which calculates the average scores of the top 5 positions for dozens of keyword searches conducted by WebTrends Inc.
Of course aligning your parameters to the top averages will not guarantee you the high rankings, but it can ensure that your keyword saturation stays within the allowed boundaries.
Partial matching enabled, Non-Exact Search, Non-Case Sensitive
|META Desctiption tag||0.7||10.8||32%||65.2%|
MSN Averages: Partial matching disabled, Non-Exact Search, Non-Case Sensitive.
Partial matching disabled, Non-Exact Search, Non-Case Sensitive.
|META Keywords tag||1.1||13.7||38.4%||70.5%|
|META Desctiption tag||0.5||9.3||25.9%||65.4%|
Head – words between HEAD tags, this includes TITLE
Body – words between BODY tags including:
- Headings – words in H1, H2 and H3 tags
- Link Text – anchor text of outgoing links
- Hyperlink URL – words in URL of the outgoing links
- Body Text – words in your page copy , excluding the content of ALT and COMMENT tags
Parameters’ Definitions and Calculations
When defining keyword/key-phrase frequency we distinguish between exact, non-exact and partial matching. Exact matching means looking for the exact matches of a key-phrase. Exact matching is possible when user performs a search with quotation marks around the search terms. For example if the content of an H1 tag is â€œBahamian Paradise. Bahamas Islands: All inclusive Atlantis Bahamas Dealsâ€ then the frequency of â€œAtlantis Bahamasâ€ by exact match is 1 (one occurence). By non-exact matching the frequency for the same phrase is 1.5: 1 for one occurrence of â€˜Atlantisâ€™, plus 2 for two occurrences of â€˜Bahamasâ€™ divided by 2 â€“ the number of words in the search phrase. Partial matching or keyword stemming also considers keyword modifications as matches. In this case the frequency for â€œAtlantis Bahamasâ€ will be 2 â€“ word â€˜Bahamianâ€™ is considered as a match to â€˜Bahamasâ€™.
This is simply the total number of words in the analyzed area. Be careful not to put too many words between H1 or H2 tags, or in link text, since it might be considered as spam.
This parameter determines the degree to which a specific keyword or phrase dominates in any given area. This parameter is calculated by multiplying number of words in the key-phrase by its frequency and dividing it by the total number of words in the area.
This parameter shows how close are your keyword or phrase to the start of the area. Most of the search algorithms assign more weight to more prominent keywords, and therefore it is beneficial to have your targeted keywords in the top of the page or in the beginning of the page copy. However in order to avoid spam penalties the keyword distribution must be as natural as possible, and you might find it necessary to put a keyword in the middle or at the end of your page. Prominence calculation is:
- If a keyword appears at the beginning of an area, its prominence will be 100%.
- If a keyword appears in the middle of an area, its prominence will be around 50%.
- If the keyword appears at the beginning of the area, then another repetition appears at the end of the area, the prominence would be 50%.
- If the keyword appears at the end of the area, prominence would be 0%.
- If the area consists of multiple parts (like having 3 heading tags on the page) then all three areas are treated as a single contiguous area when prominence is calculated.
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