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It seems that the Open Site Explorer still has an old domain in it's index(http://www.etoyszone.co.uk/) which is currently redirected to your new page. It still sees these links as external.

Also you could use XENU to crawl your website and see if you are linking to (redirected) duplicates of your home. http://download.cnet.com/Xenu-s-Link-Sleuth/3000-10248_4-10020826.html

Btw, you might want to use your html header for more than just the title. For example, you specify the character set in the body.

Good Luck,

Sven

Hi SaraSEO,

I don't think redirecting visitors based upon country is wise because of the following reasons:

• The Search Engine crawlers are not neccissarily located in the country they crawl for and might not be able to crawl all languages.
• Redirecting Users but not Crawlers could be considerd cloaking
• There might be German speaking people in sweden getting very annoyed not being able to see the german version. - Google explicitly advises not to do this:

"Make sure each language version is easily discoverable

Keep the content for each language on separate URLs. Don’t use cookies to show translated versions of the page. Consider cross-linking each language version of a page. That way, a French user who lands on the German version of your page can get to the right language version with a single click.

Avoid automatic redirection based on the user’s perceived language. These redirections could prevent users (and search engines) from viewing all the versions of your site."

source: http://support.google.com/webmasters/bin/answer.py?hl=en&answer=182192&topic=2370587&ctx=topic

Greets,

Sven

Hi Harald,

Thanks for your reply!

Both the blogposts you mention refer to 'standard organic results' being shown due to ´geographical factors´. However, before the Venice Update the term ´Local Universal Results´ was used quite often used to describe places results in the standard SERP. examples: http://blumenthals.com/blog/, http://flashious.com/how-to/how-can-an-out-of-town-company-compete-with-local-competition/

I guess we can thus say that the SEO community uses this term for both Google Places results and standard organic results that are shown due to geographical factors.

Can I safely assume that Google shares our interpretation of this term? Alternatively, if 'Local Universal Results' would be synonymous to 'Google Places Results', then the Venice update would only be impacting queries that trigger 'Places Results'.

There is some buzz in the community regarding the Venice Update of the Google Algorithm. Google has said the following about this:

"Improvements to ranking for local search results. [launch codename “Venice”] This improvement improves the triggering of Local Universal results by relying more on the ranking of our main search results as a signal."
source:http://insidesearch.blogspot.com/2012/02/search-quality-highlights-40-changes.html

A lot of Blog posts refer to this update and discuss the effect of the location of the googler on the ranking of "standard/traditional results". My question is:

Does the term 'Local Universal Results' include "standard/traditional" results or is it used by Google to refer to 'Google Places' Results in the standard SERP?

So, are the results that are impacted by Venice recognizable as 'Local Results' (by the teardrop and google Maps and so on), or does it influence 'standard/traditiona results' as well, other than simply pushing them down by inserting Google Places results in the SERP?

Thanks a lot!

1WWBV.jpg

No, but I will close this question anyway

I found Market Samurai to be fairly useful for getting competition data on a few thousands of keywords. However, it is not as in-depth as SEOmoz KW difficulty tool.

Of course, SEOmoz rules big in the world of SEO. However, I'm not sure which blog on Paid Search is currently worth following, so I'm looking for tips here. Which blog do you think provides decent content on AdWords / PPC?

In hindsight, the solution offered on that page does not do the trick. I guess I will keep using my workaround...

Thanks for the quick response. Open Office is something I should have checked first and indeed, opening the .csv in Open Office doesn't cause semicolons to split columns.

A workaround in Excel I've just now tried is making an empty spreadsheet and importing external data from the .csv, which lets me deselect the semicolon as separator.

I've also set the separator to something else in the Windows Language Settings, thanks for that link.

If for example a page title contains a ë the .csv created by the SEOmoz Crawl Test is already split into columns on that point, even though I haven't used Excel's text to columns yet.

When I try to do the latter, Excel warns me that I'm overwriting non-empty cells, which of course is something I would rather not do since that would make me lose valuable data.

My question is: is this something caused by opening the .csv in Excel, or earlier in the process when this .csv is created?

Hi Richard,

I didn't mean nofollow, but noindex,follow. Imagine this situation:

Page A has noindex,follow

Page B has index,follow

Page X has 1 internal link to page A and 1 internal link to page B

Will the linkjuice from page X divide between page A and page B? Or will page B get all the juice (since page A is not indexed?).

Thanks,

Stefan

Great tips regarding deeplinking and link distribution, thanks for that. However, I am still wondering what happens with link juice that is sent to a page with noindex,follow. Will all juice go to an indexed page instead, or will part of the juice go to the noindexed page (and get lost)?

Yes, rankings have dropped sitewide (according to SEOmoz web app). Unfortunately I don't have CTR data.

Thanks. We are of course working on more link juice, but it will take time unfortunately

Here's some data (all organic):

Traffic
May 1-15: 2.900
June 1-15: 1.600

Landingpages
May 1-15: 750
June 1-15: 530

Traffic generating Keywords
May 1-15: 2.000
June 1-15: 1.300

And i've broken it further down into short vs long tail (1-2 word phrases and 3+ word phrases):

SHORT TAIL

Traffic
May 1-15: 1.400
June 1-15: 1.000

Landingpages
May 1-15: 550
June 1-15: 400

Traffic generating Keywords
May 1-15: 1.000
June 1-15: 700

LONG TAIL

Traffic
May 1-15: 1.500
June 1-15: 600

Landingpages
May 1-15: 200
June 1-15: 130

Traffic generating Keywords
May 1-15: 1000
June 1-15: 600

As you can see, both the number of traffic sending keywords and landing pages have dropped significantly for both short and long tail terms. These really seems like a sitewide trend and followed shortly after we doubled the number of product pages. According to Google Trends and our supplier there's no noticable drop in search volumes or orders (this is a product that's been sold throughout the year).

How would you act upon this?

We have an e-commerce store with around 4000 product pages. Although our domain authority is not very high (we launched our site in February and now have around 30 RD's) we did rank on lots of long tail terms, and generated around 8000 organic visits / month.

Two weeks ago we added another 2000 products to our existing catalogue of 2000 products, and since then our organic traffic dropped significantly (more than 50%).

My guess is that link juice has been distributed to too many pages, causing rankings to drop on overall. I'm thinking about noindexing 50% of the product pages (the ones not receiving any organic traffic). However, I am not sure if this will lead to more link juice for the remaining 50% of the product pages, or not.

So my question is: if I noindex,follow page A, will 100% of the linkjuice go to page B INSTEAD of page A, or will just a part of the link juice flow to page B (after flowing through page A first)?

Hope my question is clear

P.s. We have a Dutch store, so the traffic drop is not a Panda issue

Hi Francisco,

Actually I'm only using this for SEO solely, and the purpose is to easily spot the most valuable keyword (in terms of search volume, competition, conversion rates etc.) as well as have some synonyms and related words grouped together to vary product copy.

I have a specific question regarding keyword grouping. Whenever I've have compiled a (long) list of keywords, I create smaller groups of keywords that can be targeted by a category or page. However, I find this to be quite labour-intensive as I'm doing this work manually through filtering in Excel.

To illustrate what I mean, here's an example of a keyword list:

baby shirt
t-shirt for baby
pregnancy shirts
pregnancy gifts

Normally I would create a list of root words, like this:

baby
shirt
pregnancy
gift

I would then manually filter the list on each root word and copy the filtered list to separate tabs, which would result in lists like this:

baby
baby shirt
t-shirt for baby

shirt
baby shirt
t-shirt for baby
pregnancy shirts

etc.

As you can imagine, this is a lot of work. So my hope is that you can help me out with a smart tool / Excel formula / ??? to automate this process.

Thanks for any suggestions!

Hi Rishi,

Thanks for the reply. Can you explain me how exactly PPC data will help to gauge the SEO competition for keywords?

Yeah I'm already using this tool, however it also only let's you process 1 keyword at a time in stead of a list of keywords. Guess I could use it combined with Mozenda though. Does anyone know if Mozenda will be able to scrape keywords from the Adwords tool?

I'm looking for the latter (long tail builder). I've been using Market Samurai, but there does not seem to be an easy option to process a list of keywords 1-by-1 without having to manually run each keyword. Nichebot comes close with it's Keyword cruncher, which takes the first 1-20 keywords of the generated list to find new related keywords or synonyms. However, you cannot import a list yourself to have processed, it starts with 1 keyword. As the keywords on top of the list are not always the most relevant, this does not completely fulfil our needs.

I'm also looking for a Google suggest scraper that can process a list of keywords btw. Any suggestions for 1 of these tools would be great (or perhaps somebody could build it)?

Hi,

I'm looking for a tool that will be able to run a list of keywords 1 by 1 through the Google Adwords keyword tool and place them together in a list, in order to get as much long tail keywords as possible.

Thanks for any suggestion!

As I do a lot of keyword research for my clients, I've found the SEOmoz Keyword Difficulty tool a great way to dig deeper in the competitive data for important keywords, whenever I am at the point of choosing between a smaller number of keywords.

However, in some cases I would rather have a quick idea of how competitive a large list of keywords is (for example 1000+). As the Keyword Difficulty tool has a limit of 5 per run and 300 per day, I am looking for a technique or tool to run a list of keywords and get an idea of competitiveness for each keyword.

Thanks for any suggestions!

Thanks Ryan, that's really helpful. Regarding #3: could you still make the anchor text link appear below the image for users, but have it come first in the source code for search engines? Any suggestion for how that would look like in terms of code?

Could you also do this with a block of text that appears at the bottom of the page, but is placed on top in the code? As having static text on the category page is important for SEO, but you might want to have users seeing the products before the text.

A category page on an e-commerce sites, containing a list of the products within the category, usually shows the product image above the product text link. If both image and anchor text link to the product page, this would mean that the image is counted as the link in terms of ranking value.

What would be the best way to make the anchor text count in stead of the image? I guess some ways would be:

1. Not making the product image a link
2. Using some kind of link masking / redirecting technique for the image
3. Employing a technical trick to make the anchor text link come first in the code readable by search engines.

What would be the easiest way to solve this issue? Or do you believe it's not worth bothering?