What blog posts are generating the most views? What subjects are most popular? And how can you create more, similar content? These are some of the questions you’ll want to be asking yourself as you analyze your website data. Determine what pages are resulting in the most bounces (exit pages) and the pages through which people are entering your site the most (entry pages). For instance, if the majority of people are leaving your site after reaching the About page, that’s a pretty clear indication that something should be changed there.
Search engines may penalize sites they discover using black or grey hat methods, either by reducing their rankings or eliminating their listings from their databases altogether. Such penalties can be applied either automatically by the search engines' algorithms, or by a manual site review. One example was the February 2006 Google removal of both BMW Germany and Ricoh Germany for use of deceptive practices. Both companies, however, quickly apologized, fixed the offending pages, and were restored to Google's search engine results page.
On a dating niche site I took the ‘ego-bait’ post one step further and had sexy girls perform a dance and strip to revel the names of the major bloggers in my niche written on their bodies. As you can imagine it got a lot of attention from the big players in my niche and my audience and is a little more creative for getting links, shares and traffic.
A user-feedback poll is one great, easy way to help you better understand your customers. Kline claims, “Done incorrectly, these can be annoying for a user. Done well, it’s an excellent opportunity to help the customer feel that their opinion matters, while also getting needed insights to better market the company. One poll we ran for an e-commerce client helped us learn that 80% of potential customers cared more about the performance of the product than the price. [So,] we added as much helpful performance information to the website as we could.”
In December 2009, Google announced it would be using the web search history of all its users in order to populate search results. On June 8, 2010 a new web indexing system called Google Caffeine was announced. Designed to allow users to find news results, forum posts and other content much sooner after publishing than before, Google caffeine was a change to the way Google updated its index in order to make things show up quicker on Google than before. According to Carrie Grimes, the software engineer who announced Caffeine for Google, "Caffeine provides 50 percent fresher results for web searches than our last index..." Google Instant, real-time-search, was introduced in late 2010 in an attempt to make search results more timely and relevant. Historically site administrators have spent months or even years optimizing a website to increase search rankings. With the growth in popularity of social media sites and blogs the leading engines made changes to their algorithms to allow fresh content to rank quickly within the search results.
If you own, manage, monetize, or promote online content via Google Search, this guide is meant for you. You might be the owner of a growing and thriving business, the webmaster of a dozen sites, the SEO specialist in a Web agency or a DIY SEO ninja passionate about the mechanics of Search : this guide is meant for you. If you're interested in having a complete overview of the basics of SEO according to our best practices, you are indeed in the right place. This guide won't provide any secrets that'll automatically rank your site first in Google (sorry!), but following the best practices outlined below will hopefully make it easier for search engines to crawl, index and understand your content.
Search engines use complex mathematical algorithms to interpret which websites a user seeks. In this diagram, if each bubble represents a website, programs sometimes called spiders examine which sites link to which other sites, with arrows representing these links. Websites getting more inbound links, or stronger links, are presumed to be more important and what the user is searching for. In this example, since website B is the recipient of numerous inbound links, it ranks more highly in a web search. And the links "carry through", such that website C, even though it only has one inbound link, has an inbound link from a highly popular site (B) while site E does not. Note: Percentages are rounded.