Howdy.
New Urls for sure. The old URLs with 301s will not make it in any way better, just extra step in server jumps. In fact, there might be a rule about not using redirects for landing pages for Google Advertiser Platform.
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Howdy.
New Urls for sure. The old URLs with 301s will not make it in any way better, just extra step in server jumps. In fact, there might be a rule about not using redirects for landing pages for Google Advertiser Platform.
Thank you all, guys.
I figured I'd need to read reviews for every tool separately and combine them in my head, just was hoping that somebody did that before me and have put it on paper 
Oh my!
This is surely the most ridiculous way to do it I've heard of. There are APIs, plugins and other much easier ways to do it. Do they know about it?
Here: http://bfy.tw/4AqJ - first three links.
Hi there.
I assume you are talking about adding UTM tracking parameters to the links on local listings profiles like Yelp, G+ etc?
If so, as far as I know there is no way to control anchor text, so users will see full url with all parameters, which might be confusing.
But overall - it will be helpful to see how many people are actually finding your client in local search and, if it's large enough number, they might want to invest in promoted listings within those networks. Other than that - I can't think of any benefits.
Hope this helps.
Hi.
I say the content and "worthiness" of review is much-much more important than the date. Unless your products are freshness/time dependent. If you've been selling the same shoes for years, then reviews from 4 years ago will be as relevant as from yesterday.
Now, if your shoes had some major issues and you've improved since then, which would affect the reviews, then sure, remove the old ones, as long as they are irrelevant.
Also, it depends on how many reviews you're getting. If you have 5 reviews and 4 of them are from four years ago, then, I think you should pay more attention to actually getting reviews, rather than filtering them. Another thing I'd like to point out is that it's better to have old reviews than no reviews whatsoever.
In terms of SEO effect - as far as I know, the ratings is more important than the freshness. Which does make sense - if you have 1/5 stars with 10k review from last month - it won't be better than 100 5/5 star reviews from couple years ago.
Hope this make sense.
Cheers.
Hi there.
I'm not sure I understand what you are saying. Are tweets copied and pasted into each page separately? Then I don't understand the "populate a twitter feed" part.
Can you explain a little more?
Hello, my friend.
Good question you got here. Made my brain leftovers to spin.
Anyway, here is my understanding (and I can be completely wrong).
As Google always says, don't treat Google bot differently from human users, also, they say don't play a/b testing on him. At the same time Google Analytics' a/b testing is working like this: when you visit page for the first time, you get "normal" page, than, based on chance of a/b testing, you either gonna stay or be redirected after loading the page (this one is important) to test page. After this you are being assign a cookie, so every recurring visit you are not "played" with testing until test is complete. Then all cookies are removed and everybody is served whatever version of a/b testing "won".
So, putting three hypothesizes above together, my understanding is that Google bot is being treated the same way - it gets "assigned" (or simply served the original) a version of the page on the first visit. This makes sure that there is no confusion by Google which version of tested page to index.
I think as long as you keep this in mind, there won't be any troubles for SEO.
Hope this makes sense and helps you.
Cheers.