![]() ![]() We are watching our Google Webmaster Tools everyday waiting for Google to remove the hacked keywords. Unfortunately, Google Webmaster Tools still reflects all of the hacked keywords for mens and ladies watches. They replied with a "no manual spam actions were found" message. ![]() We wrote Google and told them what happened. As of December 21st, 2012, our website has been clean of the phama hack. Since realizing we were hacked, we rebuilt our website from the ground up with a clean and updated installation of Joomla CMS (from 1.5 to 2.5) and changed to a more secure server. Our Google organic search rank and resulting traffic has been dramatically impacted. Google Webmaster Tools never reported malware on our website, but our keywords within Webmaster Tools were all changed to keywords related to mens and ladies watches. In December our website was the victim of a devastating pharma hack. With the page number constraint and increasing conversions being the goal of optimization, what are your thoughts on the pros and cons of each choice? Focusing the content on one keyword will increase conversion rate and take a shorter time to rank that page since it's more focused, but less overall traffic and conversions. I basically see the pros and cons as this: including multiple closely related keywords on a page will bring more traffic and thus overal conversions however it will take longer to rank for those keywords. Otherwise I'm guessing the best method would be to create content for each keyword in something like a blog. I'm constrained to three web pages since it's a clients website. Select 3-5 keywords and evenly optimize the page for each (several headers and sections about each) Select one main keyword to put in the header and support it with the other 2-4 keywords in the content body I see a couple ways to approach optimizing the pages: There's about 3-5 keyword groupings that are similar enough so I can optimize each page with all of them (for example - autobody, dent repair, scratch repair). I've carefully researched and selected 15 keywords. Estimated reading time The service points out how long it takes users on average to read a piece of text.I have three web pages I'm trying to increase traffic to (and thus conversions).Average word number per sentence The tool indicates how many words there are on average in one sentence of the analyzed text.Paragraph counter With this tool, you can insert text to find out how many paragraphs there are in it in a matter of seconds.Sentence counter Our service lets you know how many complete sentences there are in a text.Word counter With the help of this tool, you can find out how many words there are in a text. ![]()
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