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Sunday, August 03, 2008

SEO Salaries, SEO Jobs & In-House Survey - More Data!

In October of 2006, when I was first interviewing for in-house SEO positions, I wrote a series of articles on SEO job searches (listed below) and incorporated my own research on Salary ranges for SEO.

Here's a chart I created at the time showing in-house SEO salary ranges from data. If you are currently looking for an SEO job, I invite you to use the Google Custom Search SEO jobs Search Engine To Find Search Marketing Jobs I created this CSE back then when Google first introduced the tool.

I also shared a list of articles on SEO jobs both from myself and others which I'll include again here:

If you are interested in more SEO salary data there is the November 2006 post from Rand Fishkin at SEOMoz.

Then there is this Top 30 Cities to Earn a Big SEO Salary chart from Reilly O'Donnell at Onward Search.

Here's a great tool from SimplyHired which can show SEO Salaries by city if they have appropriate income data based on past job posts.

Director Of SEO Salaries in San Francisco, CA | SimplyHired

Then there is this Manoj Jasra interview with SEMPO's Duane Forrester which is short on actual numbers, but gives some good surrounding data. Curiously, I couldn't fine the actual SEMPO data from that salary survey on their site which was released right before the interview. Perhaps it's not public?

Below is an SEO survey from Jennifer Mathews (or SEO Goddess) which I'd love to see results. Jenn promises to share results if you provide an email address. Thanks for this Jenn!

There's nothing wrong with more data on SEO so please chime in and offer your two cents.

If you are looking for a great SEO Job now, good luck with your search and please share your current salary range in the survey above.

If you are attending SES San Jose this month and have between 7-10 years of combined SEO/SEM (both organic & paid search) experience and are looking for a great Director Level job in San Francisco, leave a comment here and I'll hook you up with an interview. ;-)

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Saturday, August 02, 2008

Tag Clouds & SEO - Tagging Engineers & Developers

Saw this great tag cloud cartoon on ReadWriteWeb (RWW) today and it prompted this blog post. I've got a mini-rant on this topic due to my constant advocacy for tag clouds and resistance from everyone I recommend them to.

Why? OK, it's because it requires a custom build, I admit that. But I truly believe the reason tag clouds have hung in the margins (literally) is because everyone wants an "off-the-shelf" solution to tag clouds. I just haven't found one already built that both works for SEO and makes sense to users.I see a huge SEO value in them if implemented in a completely different way than everyone seems to be doing it.

That cartoon above seems to be suggesting tag clouds have died. I really don't care if they have or not - because they've never been done right for SEO purposes. I argue for tag clouds on a relevance model - not popularity models as they are most frequently used.


Let me back up a little for the uninitiated, and we'll go through the basic concepts here. The intent as designed in the popularity model seems to have been to display the most frequently used keywords that people apply as tags on a given site or blog or photo-sharing site. The more popular or frequent a word or phrase is on that site or for a particular photograph or article, the larger the font those keyword phrases are displayed in within the cloud. Larger words mean they are more popular and are more often used as tags on the site.

While the above is a fun graphical representation, it's not what "real" tag clouds look like, so to be thorough, here is an example from Wikipedia page on tag clouds.

Image:Web 2.0 - Wikipedia, tag clouds

Those individual tags are then linked to a page bearing a list of articles or photos tagged with the word or phrase you click on. While this blog is not using tag "clouds", it is using tags. If you click on the "yahoo" tag, you'll end up on a page which includes all posts I've tagged with "Yahoo" from among my blog posts. (Go on Try It!).

Most off-the-shelf tag clouds are done in javascript or AJAX or flash - all bad for SEO purposes.

Most custom build tag cloud solutions fail to use the tag microformat which would be favored by search engines and instead - they simply link the tags to an internal search function which does a site-level search for the word linked in the cloud. This is horrible for search relevance, user experience (due to poor results), and for SEO.

I want tag clouds that group only topically relevant words. This requires a different mind-set than most apply to tagging. I want all RELATED words and phrases in a cloud, then I want each word or phrase hyperlinked the way the tags used on this blog are linked - by going to a page which includes all articles tagged with that particular phrase.

I don't care about popularity in this model - I want relevance in my tag clouds. I'm convinced that a) search engines would love this model, b) users would love this model and therefore c) clients who take this advice someday will love the relevance model of tag clouds because of a) and b) bringing search referral traffic that loves the utility of those tag clouds which deliver them to EXACTLY what they are searching for - in plain HTML - not in javascript, flash or AJAX.

The pages grouping tagged articles listed could take excerpts of the articles to avoid duplicate content penalties. The headlines from articles could be linked to the full page versions.

If anyone knows of a script or utility which could generate effective, relevancy model tag clouds in a plug-n-play way that I can hand to clients - I'd be happy to become a reseller - since I'm not a developer. Sometimes I wish I had the skills to do SEO engineering, but oh well - I'm an idea guy who does SEO strategy.

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