“Brick Marketing has been a dependable, professional SEO company that has helped us get results. In the last 6 months of using their services, visits to our website have increased by almost 30%. Our dedicated SEO Specialist was pleasant to deal with. Her suggestions for articles and press releases were industry specific. Brick Marketing always answered our phone calls and emails within an hour which made us feel valued as a client. I would recommend Brick Marketing to all businesses to handle their SEO needs.”
We are a small marketing agency searching for a digital ad placement specialist. We have several clients in various industries who are in need of Google AdWords, Facebook ads, and the ability to create retargeting campaigns (such as Facebook Lookalike or Google Remarketing). Ad creative will be supplied internally by our agency. Our agency's process is to request an estimate from a freelancer, relay it to our client, and if the client accepts the proposal we move forward with the freelancer. Ideally, we'd like to work with someone consistent and reliable who would be available to work on current and future clients. Required skills: -SEO/PPC proficient -Google Webmaster proficient -Facebook Marketing -Search Engine Marketing -Management and adjustment of campaigns Plus, but not required skills: - Google Adwords certified less more
Remember, depending on your targeting methods, the placement might not be that important. If you’re targeting the user through interests or remarketing, the placement is just where that user visits. Of course, some sites will still perform better than others, but keep in mind which targeting method you’re using when evaluating placement performances.
The PageRank algorithm outputs a probability distribution used to represent the likelihood that a person randomly clicking on links will arrive at any particular page. PageRank can be calculated for collections of documents of any size. It is assumed in several research papers that the distribution is evenly divided among all documents in the collection at the beginning of the computational process. The PageRank computations require several passes, called "iterations", through the collection to adjust approximate PageRank values to more closely reflect the theoretical true value.
And if you really want to know what are the most important, relevant pages to get links from, forget PageRank. Think search rank. Search for the words you’d like to rank for. See what pages come up tops in Google. Those are the most important and relevant pages you want to seek links from. That’s because Google is explicitly telling you that on the topic you searched for, these are the best.
Page and Brin founded Google in 1998. Google attracted a loyal following among the growing number of Internet users, who liked its simple design. Off-page factors (such as PageRank and hyperlink analysis) were considered as well as on-page factors (such as keyword frequency, meta tags, headings, links and site structure) to enable Google to avoid the kind of manipulation seen in search engines that only considered on-page factors for their rankings. Although PageRank was more difficult to game, webmasters had already developed link building tools and schemes to influence the Inktomi search engine, and these methods proved similarly applicable to gaming PageRank. Many sites focused on exchanging, buying, and selling links, often on a massive scale. Some of these schemes, or link farms, involved the creation of thousands of sites for the sole purpose of link spamming.
PageRank relies on the uniquely democratic nature of the web by using its vast link structure as an indicator of an individual page’s value. In essence, Google interprets a link from page A to page B as a vote, by page A, for page B. But, Google looks at considerably more than the sheer volume of votes, or links a page receives; for example, it also analyzes the page that casts the vote. Votes cast by pages that are themselves “important” weigh more heavily and help to make other pages “important.” Using these and other factors, Google provides its views on pages’ relative importance.
If you are serious about improving search traffic and are unfamiliar with SEO, we recommend reading this guide front-to-back. We've tried to make it as concise as possible and easy to understand. There's a printable PDF version for those who'd prefer, and dozens of linked-to resources on other sites and pages that are also worthy of your attention.
It’s good to know how you rank both nationally and locally for keywords, but it’s undoubtedly more helpful to get actionable data and insights on how to improve. Moz Pro offers strategic advice on ranking higher, a major benefit to the tool. It also crawls your own site code to find technical issues, which will help search engines understand your site and help you rank higher.
Enhanced CPC – A bidding feature where your max bid is spontaneously raised for you if Google believes that the click will convert. Your maximum bid using this bid strategy can be up to 30% higher when your ad is competing for a spot on the SERP. If Google does not think that your ad will convert then your bid is decreased in the auction. The last part of the Enhanced CPC bidding feature is that your bid will stay at or below the maximum bid you set for certain auctions. Google’s algorithms evaluate the data and adjust bids.
Optimizing digital marketing can be tricky, and a simple definition does not necessarily translate into something that is useful for achieving business objectives. That is where the RACE Digital Marketing Planning framework comes in, as it can help break down digital marketing into easier to manage areas that can then be planned, managed and optimized.
Early versions of search algorithms relied on webmaster-provided information such as the keyword meta tag or index files in engines like ALIWEB. Meta tags provide a guide to each page's content. Using metadata to index pages was found to be less than reliable, however, because the webmaster's choice of keywords in the meta tag could potentially be an inaccurate representation of the site's actual content. Inaccurate, incomplete, and inconsistent data in meta tags could and did cause pages to rank for irrelevant searches.[dubious – discuss] Web content providers also manipulated some attributes within the HTML source of a page in an attempt to rank well in search engines. By 1997, search engine designers recognized that webmasters were making efforts to rank well in their search engine, and that some webmasters were even manipulating their rankings in search results by stuffing pages with excessive or irrelevant keywords. Early search engines, such as Altavista and Infoseek, adjusted their algorithms to prevent webmasters from manipulating rankings.