Google Indexing and other bugs

Author Topic: Google Indexing and other bugs  (Read 1448 times)

Offline david31Topic starter

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    • 31west
Google Indexing and other bugs
« on: 04-18-2019, 07:11:20 »
Recently on Twitter, I asked John mc abut the Text to HTML ratio and he replied saying that Google doesn't consider the text to HTML ratio data. and in one the tweet, I read that Google doesn't consider the Cache too.

I have a few questions I hope someone could answer!

Is Text to HTML ratio ready not that worth?
Is Google Cache data false?

The reason I'm asking you is i have brought my ranking from 16th to 4th after the March 12th update and now in stuck 4th from past few days.

and I'm confused about what strategy to use for bringing it back to 1st. I improved the Content in the page, looked into the Keyword density, improved the Title & Meta Description, looked into the backlinks, and it looks fine for me,
so i"m not understanding why is the ranking stuck y isn't it moving top.?

DO YOU THINK I SHOULD WAIT FOR GOOGLE TO FIX ALL THE BUGS?
THE GOOGLE CACHE DATE IS FOR 27TH MARCH 2019 WHICH IS GONNA BE A MONTH, SHOULD I WAIT TILL THE CACHE DATA IS FIXED?

can you help me out looking into my links and let me if i have missed anything which can help in getting the ranking back..

my links are:-

31west.net KW:- call center outsourcing

31west.net/services/custo...rs-call-center - KW:- After hours call center, After hours support

31west.net/services/custo...enter-services - KW:- call center services, inbound call center.



I will be really grateful if you can give me some time and help me!

Thanks.
I'm from San Francisco, USA, working asDigital analyst at newbielink:https://www.31west.net/ [nonactive] is one of the leading call center outsourcing.


Offline safracatz

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    • App Development company in Morocco
Re: Google Indexing and other bugs
« Reply #1 on: 05-24-2019, 05:07:39 »
Google's own tools can help us verify whether a page is recorded, but doing this at system is difficult, and once an event has passed, we no longer have a good way to historical data. What if we could isolate a set of URLs, though, that we could logically expect to be stable over time? Could we use that set to detect unusual patterns?
newbielink:https://www.fusioninformatics.com/mobile-app-development-company-in-morocco.html [nonactive]

 

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