A web server is software that constantly runs on a computer and allows other computer systems to download documents from it. This text you are reading right travelled over a network connection from Lifehacker’s hosting web server to your browser. Web servers are usually noisy, frightening, headless machines in cold windowless rooms, nevertheless, you can run one under your desk at home. Maybe you want to download files on your home computer from anywhere. Like, say, your digital music collection. Please note: Owning a server on your family computer is a dangerous undertaking, and before you begin, make sure your computer has all the latest areas and security improvements, and you’ve done a thorough spyware and computer virus scan.
This tutorial is for advanced users who feel safe editing textual settings files and revealing port 80 on their family computer to the internet. As always, a solid firewall with explicit user-set rules is recommended. Step 1 1. Install Apache HTTP server. First and foremost, disable and stop some other firewall or server software you might have operating, including Windows Firewall, Skype, Trillian or any other instant messaging applications. This is important extremely, and if it’s not done, can cause the server startup and set up to fail miserably.
Below, you’ll see how we can then group these conditions together within an averaged cluster table to give us a much better understanding of where in fact the keyword volume might be from an automobile brand perspective. I’ve blurred the keyword grouping column here to protect existing customer strategy data. As you can see from the snapshot above, we now have a spreadsheet with keyword, keyword group, search quantity, URL, rank, and the entire content score pulled in from the base Excel sheet we’ve worked through. Out of this, we can do some smart graph visualization to help us understand the data.
To really understand where the chance lies and to take this process past a straightforward I’ll-work-on-the-worst-pages-first approach, we have to bring it alive. This means turning our table into a graph. We’ll utilize the chart functionality within Excel itself. Here’s an example of the corresponding graph for the desk shown above, showing performance by category and positioning correlation.
If we focus on the chart above, we can begin to see a design between those categories that are better optimized and generally have better search positions. Correlation does not always equal causation, as we realize, but it’s useful information. Take the very first column, or the Subaru category. We are able to see that it’s one of the better-optimized categories (at 49%) and average rank reaches 34.1. Now, they are record-breaking positions barely, but it does point towards the value of well-worked static webpages. Making the categories as granular as it can be can be quite valuable here, as you can quickly build-up a focused picture of where to put your energy to go the needle quickly.
The process for doing this is an entirely subjective one, often predicated on your knowledge of your industry or your site information architecture. Add keyword quantity data into the mix and you know exactly where to build your static content creation to-do list. Like any data set, however, it requires an even of benchmarking and framework to offer the fullest picture possible before you commit time and effort to the content improvement process.
It’s for this reason that I usually turn to run the same process on key rivals, too. An example of the resulting below assessment graphs is seen. The procedure is relatively straightforward: take typically all the individual URL content scores, that will give you a “whole domain” score. Add competition by repeating the procedure for their domain.
You can take a far more granular view personally by following the same process for the grouped keywords and tabulating the result. Below, we can see how our site sizes against those same two rivals for all nine of our example keyword groups, like the motor car brands example we viewed previously. With this benchmark data in place, you can move on to the proactive improvement area of the process.
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Having determined your priority web pages, the next step is to ensure you edit (or create them) in the right way to increase impact. Whereas a few years ago it was about developing a few paragraphs almost exclusively with regard to helping Google understand the page, now we MUST be focused on usability and enhancing the experience for the right visitor.
This means adding value to the page. To do that, you need to stand back again and really focus in on visitors: the way they reach the web page and what they expect from it. This will almost always involve what I call “making the visitor smarter”: creating content that ensures they make smarter and more informed buying decisions. To do that requires a structured approach to providing key information succinctly and in a manner that enhances – rather than hinders – the user journey.