We're a growth company looking for a highly experienced Pay Per Click manager to launch and optimize campaigns in Google Adwords, Bing Ads, and more with a focus on B2B. Looking for 5+ experience: - managing enterprise campaigns in Adwords and Bing - tracking and optimizing to goals - executing a/b tests in adwords and bing - reporting and optimizing campaigns We are a fast moving, well funded, profitable startup in search of someone who is highly experienced, and able to respond quickly to the campaign needs of our business. less more
Influencer marketing: Important nodes are identified within related communities, known as influencers. This is becoming an important concept in digital targeting. It is possible to reach influencers via paid advertising, such as Facebook Advertising or Google Adwords campaigns, or through sophisticated sCRM (social customer relationship management) software, such as SAP C4C, Microsoft Dynamics, Sage CRM and Salesforce CRM. Many universities now focus, at Masters level, on engagement strategies for influencers.
What that means to us is that we can just go ahead and calculate a page’s PR without knowing the final value of the PR of the other pages. That seems strange but, basically, each time we run the calculation we’re getting a closer estimate of the final value. So all we need to do is remember the each value we calculate and repeat the calculations lots of times until the numbers stop changing much.
This has demonstrated that, by poor linking, it is quite easy to waste PageRank and by good linking, we can achieve a site’s full potential. But we don’t particularly want all the site’s pages to have an equal share. We want one or more pages to have a larger share at the expense of others. The kinds of pages that we might want to have the larger shares are the index page, hub pages and pages that are optimized for certain search terms. We have only 3 pages, so we’ll channel the PageRank to the index page – page A. It will serve to show the idea of channeling.
Using digital marketing without a strategic approach is still commonplace. I'm sure many of the companies in this category are using digital media effectively and they could certainly be getting great results from their search, email or social media marketing. But I'm equally sure that many are missing opportunities for better targeting or optimization, or are suffering from the other challenges I've listed below. Perhaps the problems below are greatest for larger organizations who most urgently need governance.
The appearance of search engine results pages is constantly in flux due to experiments conducted by Google, Bing, and other search engine providers to offer their users a more intuitive, responsive experience. This, combined with emerging and rapidly developing technologies in the search space, mean that the SERPs of today differ greatly in appearance from their older predecessors.
Page Rank (named after Larry Page) is a link analysis algorithm used by Google that measures how many links point to a website or page, and more importantly the quality or importance of the sites that provide those links. It uses a numerical scale, with 0 being the least important and 10 being the most important. In an attempt to “cheat the system", some website owners have tried to purchase links back to their website hoping for a higher Page Rank. However, those low quality links can have a negative impact and result in a lower Google Page Rank. In addition, a website may be penalized or blocked from search results, giving priority to websites and web pages that have quality backlinks and content that is valuable to humans.
Mathematical PageRanks for a simple network, expressed as percentages. (Google uses a logarithmic scale.) Page C has a higher PageRank than Page E, even though there are fewer links to C; the one link to C comes from an important page and hence is of high value. If web surfers who start on a random page have an 85% likelihood of choosing a random link from the page they are currently visiting, and a 15% likelihood of jumping to a page chosen at random from the entire web, they will reach Page E 8.1% of the time. (The 15% likelihood of jumping to an arbitrary page corresponds to a damping factor of 85%.) Without damping, all web surfers would eventually end up on Pages A, B, or C, and all other pages would have PageRank zero. In the presence of damping, Page A effectively links to all pages in the web, even though it has no outgoing links of its own.
Webmasters and content providers began optimizing websites for search engines in the mid-1990s, as the first search engines were cataloging the early Web. Initially, all webmasters needed only to submit the address of a page, or URL, to the various engines which would send a "spider" to "crawl" that page, extract links to other pages from it, and return information found on the page to be indexed. The process involves a search engine spider downloading a page and storing it on the search engine's own server. A second program, known as an indexer, extracts information about the page, such as the words it contains, where they are located, and any weight for specific words, as well as all links the page contains. All of this information is then placed into a scheduler for crawling at a later date.