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In 1998, two graduate students at Stanford University, Larry Page and Sergey Brin, developed "Backrub", a search engine that relied on a mathematical algorithm to rate the prominence of web pages. The number calculated by the algorithm, PageRank, is a function of the quantity and strength of inbound links.[22] PageRank estimates the likelihood that a given page will be reached by a web user who randomly surfs the web, and follows links from one page to another. In effect, this means that some links are stronger than others, as a higher PageRank page is more likely to be reached by the random web surfer.
Sorry for the long comment, I just am really happy to see that after all those years of struggle you finally made a break through and you definitely deserve it bro. I’ve had my own struggles as well and just reading this got me a little emotional because I know what it feels like to never wanting to give up on your dreams and always having faith that one day your time will come. It’s all a matter of patience and learning from failures until you get enough experience to become someone who can generate traffic and bring value to readers to sustain long term relationships.
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.
Landing pages are another free source of traffic to your website. These are pages specific to your offers, such as for redeeming a discount code, downloading a free guide, or starting a free trial. They contain the details users need in order to move forward and convert, and focus on one specific call to action, making it more likely to happen. Because landing pages are so specific, you can get very targeted in your messaging, increasing the traffic coming to those pages.
Write a description that would both inform and interest users if they saw your description meta tag as a snippet in a search result. While there's no minimal or maximal length for the text in a description meta tag, we recommend making sure that it's long enough to be fully shown in Search (note that users may see different sized snippets depending on how and where they search), and contains all the relevant information users would need to determine whether the page will be useful and relevant to them.
Traditionally, defining a target audience involves determining their age, sex, geographic locations, and especially their needs (aka pain points). Check out usability.gov’s description of personas and how to do task analysis & scenarios for more details, or better yet, read Vanessa Fox’s upcoming book about personas related to search and conversion.
If you are using Responsive Web Design, use meta name="viewport" tag to tell the browser how to adjust the content. If you use Dynamic Serving, use the Vary HTTP header to signal your changes depending on the user-agent. If you are using separate URLs, signal the relationship between two URLs by tag with rel="canonical" and rel="alternate" elements.
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