Whatever industry you’re in, chances are there are at least one or two major conventions and conferences that are relevant to your business. Attending these events is a good idea – speaking at them is even better. Even a halfway decent speaking engagement is an excellent way to establish yourself as a thought leader in your industry and gain significant exposure for your site.
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. 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.
This information hits the mark. “If you want your content to go viral, write content that influencers in your niche will want to share.” I love the information about share triggers too. I’m wondering, though, if you could share your insights on how influencers manage to build such vast followings. At some point, they had to start without the support of other influencers. It would seem that they found a way to take their passion directly to a “ready” world. Excellent insights. Thanks for sharing.
I consulted a few years ago before Yahoo and CNET and my clients were all small businesses, even friends' sites. No matter the size of the project, you can still try to get some insight into your target audiences and what they need or want. I mentioned in a previous comment I used Search once to determine sentiment on a site vs. it's competitors by searching for a feature the site and its competitors all had, along with "like", "love", "hate", "wish", etc. I also took note of who the people were who said those things and where they were talking (forums, twitter, etc). It's a hacked manual approach and although not nearly as quality as a good market research report, at least I have a llittle bit of insight before going out to make site recommendations based solely on tags & links. If you're recommending the site build things that people want (and fix or remove things that they dont), you're more likely to gain links and traffic naturally.
I second Rand's comment! Congrats on moving from the corporate world to the independent consultant. This is my goal for the near future. I too have been testing the waters of independent consulting, but it doesn't quite pay the bills yet! Sometimes I feel like I should find a mentor who has been where I am now and is where I want to go. Perhaps i'll find a few in this community over time!
Hack #1: Hook readers in from the beginning. People have low attention spans. If you don’t have a compelling “hook” at the beginning of your blogs, people will click off in seconds. You can hook them in by teasing the benefits of the article (see the intro to this article for example!), telling a story, or stating a common problem that your audience faces.
Search engine optimization (SEO) is often about making small modifications to parts of your website. When viewed individually, these changes might seem like incremental improvements, but when combined with other optimizations, they could have a noticeable impact on your site's user experience and performance in organic search results. You're likely already familiar with many of the topics in this guide, because they're essential ingredients for any web page, but you may not be making the most out of them.
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.