A PageRank results from a mathematical algorithm based on the webgraph, created by all World Wide Web pages as nodes and hyperlinks as edges, taking into consideration authority hubs such as cnn.com or usa.gov. The rank value indicates an importance of a particular page. A hyperlink to a page counts as a vote of support. The PageRank of a page is defined recursively and depends on the number and PageRank metric of all pages that link to it ("incoming links"). A page that is linked to by many pages with high PageRank receives a high rank itself.
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.
Establishment of customer exclusivity: A list of customers and customer's details should be kept on a database for follow up and selected customers can be sent selected offers and promotions of deals related to the customer's previous buyer behaviour. This is effective in digital marketing as it allows organisations to build up loyalty over email.
However, the SERP of major search engines, like Google, Yahoo!, and Bing, may include many different types of enhanced results (organic search and sponsored) such as rich snippets, images, maps, definitions, answer boxes, videos or suggested search refinements. A recent study revealed that 97% of queries in Google returned at least one rich feature.
9. Troubleshooting and adjustment. In your first few years as a search optimizer, you’ll almost certainly run into the same problems and challenges everyone else does; your rankings will plateau, you’ll find duplicate content on your site, and you’ll probably see significant ranking volatility. You’ll need to know how to diagnose and address these problems if you don’t want them to bring down the effectiveness of your campaign.
A rich snippet contains more information than a normal snippet does, including pictures, reviews, or customer ratings. You can recognize a rich snippet as any organic search result that provides more information than the title of the page, the URL, and the metadescription. Site operators can add structured data markup to their HTML to help search engines understand their website and optimize for a rich snippet. The Starbucks app, for example, includes customer ratings and pricing within the search description.
In the flat-rate model, the advertiser and publisher agree upon a fixed amount that will be paid for each click. In many cases the publisher has a rate card that lists the pay-per-click (PPC) within different areas of their website or network. These various amounts are often related to the content on pages, with content that generally attracts more valuable visitors having a higher PPC than content that attracts less valuable visitors. However, in many cases advertisers can negotiate lower rates, especially when committing to a long-term or high-value contract.
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.