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Yeah... Thanks. You caught me being lazy with the CSS. Rather than create a separate class for that H2 and text, I opted for some in line CSS and never went in and updated the overall CSS. It's an older site done in Concrete5, which I build everything in, and it makes it too easy to cut those corners and that website has not had a design refresh in couple years. Regardless, it dominates its local sub-market online. Thanks for the continued info!
Thanks for validating that I'm on the right track. Local search is integral to self storage facilities because 90% of occupants live or work within a 5 mile radius and it's location/convenience based service. Everyone else continues to battle it out for the generic top level keywords in organic rankings that account for only 20% of conversions and mistakenly neglect local, sub-market specific keywords and indicators that drive the most relevant traffic likely to convert.
Full disclosure... I don't know much about proper Schema Markup. I'm curious about how specific everyone gets when generating the markup for different types of businesses that service a local area and rely heavily on Local Maps listings.
For instance, I have a bunch of self-storage facility clients. Is it better to just keep it generic like any other Local Business? Here's 2 examples... which one is better:
<div id="search-area" itemid="facility" itemtype="http://schema.org/SelfStorage" itemscope=""> <a style="color: #ffffff" href="http://goo.gl/maps/SjmZ"> <span itemid="facility" itemtype="http://schema.org/SelfStorage" itemscope=""> <span itemprop="name">Elliot Kyrene Storage Solutionsspan>span><br>a>
<div itemtype="http://schema.org/PostalAddress" itemscope="" itemprop="address"> <a style="color: #ffffff" href="http://goo.gl/maps/SjmZ"> <span class="street-address" itemprop="streetAddress">543 W. Elliot Rdspan>
<br><span class="locality" itemprop="addressLocality">Tempespan>, <span class="region" title="Arizona" itemprop="addressRegion">AZspan>
<span class="postal-code" itemprop="postalCode">85284span><br> <span itemprop="telephone">480.940.0111span>
a>div>h3>div>
Or is this better:
<div itemtype="http://schema.org/PostalAddress" itemscope="" itemprop="address"><h2><span itemprop="streetAddress">2636 W. Thunderbird Roadspan><span itemprop="addressLocality">Phoenixspan>, <span title="Arizona" itemprop="addressRegion">AZspan>
<span class="postalCode">85023span>|<span itemprop="telephone">602-863-0111span>
h2>
<span itemtype="http://schema.org/GeoCoordinates" itemscope="" itemprop="geo"> <meta content="33.611544" itemprop="latitude">
<meta content="-112.114374" itemprop="longitude">span>
div>
I'm glad the solution was simple. Sounds like a glitch that Google has had plenty of time to fix but doesn't intend to any time soon. The suggestion of an automatic notation is logical and reasonable.
Did you try the "Panguin Tool" and did give you any insight?
Check out this tool and see if there are any corresponding Panda or Penguin updates that hit you.
I recently found a tool called the "Panguin Tool - by Baracuda Digital" which syncs with your Google Analytics accounts and simultaneously displays every major Google algorithm update since January 2012. What's great about it is that you can very easily see traffic variances as they relate to updates. When you scroll over an update, a short summary of the key points of the update are listed and you can get a better idea of how it potentially impacted your site.
This doesn't directly answer your question, but it may give you insight if there are any discrepancies in your traffic that relate to a tracked update.
Check out this tool and see if there are any corresponding Panda or Penguin updates that hit you.
Thanks for validating that I'm on the right track. Local search is integral to self storage facilities because 90% of occupants live or work within a 5 mile radius and it's location/convenience based service. Everyone else continues to battle it out for the generic top level keywords in organic rankings that account for only 20% of conversions and mistakenly neglect local, sub-market specific keywords and indicators that drive the most relevant traffic likely to convert.