The development of digital marketing is inseparable from technology development. One of the key points in the start of was in 1971, where Ray Tomlinson sent the very first email and his technology set the platform to allow people to send and receive files through different machines . However, the more recognisable period as being the start of Digital Marketing is 1990 as this was where the Archie search engine was created as an index for FTP sites. In the 1980s, the storage capacity of computer was already big enough to store huge volumes of customer information. Companies started choosing online techniques, such as database marketing, rather than limited list broker. This kind of databases allowed companies to track customers' information more effectively, thus transforming the relationship between buyer and seller. However, the manual process was not so efficient.
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.
All sites have a home or "root" page, which is usually the most frequented page on the site and the starting place of navigation for many visitors. Unless your site has only a handful of pages, you should think about how visitors will go from a general page (your root page) to a page containing more specific content. Do you have enough pages around a specific topic area that it would make sense to create a page describing these related pages (for example, root page -> related topic listing -> specific topic)? Do you have hundreds of different products that need to be classified under multiple category and subcategory pages?
Testimonials. If case studies aren't a good fit for your business, having short testimonials around your website is a good alternative. For B2C brands, think of testimonials a little more loosely. If you're a clothing brand, these might take the form of photos of how other people styled a shirt or dress, pulled from a branded hashtag where people can contribute.
Keyword analysis. From nomination, further identify a targeted list of keywords and phrases. Review competitive lists and other pertinent industry sources. Use your preliminary list to determine an indicative number of recent search engine queries and how many websites are competing for each keyword. Prioritize keywords and phrases, plurals, singulars and misspellings. (If search users commonly misspell a keyword, you should identify and use it). Please note that Google will try to correct the term when searching, so use this with care.
Nathan: The comment by Mansi Rana helps answer your question. The fact is, the PageRank scores that were visible in the Google Toolbar hadn’t been updated in a long time (2+ YEARS), so they were probably getting more and more out-of-date anyway. The main reason Google would make them disappear, though, is that Google wants website owners to focus on the user and on quality content, not on trying to game the system with links.
Totally agree — more does not always equal better. Google takes a sort of ‘Birds of a Feather’ approach when analyzing inbound links, so it’s really all about associating yourself (via inbound links) with websites Google deems high quality and trustworthy so that Google deems YOUR web page high quality and trustworthy. As you mentioned, trying to cut corners, buy links, do one-for-one trades, or otherwise game/manipulate the system never works. The algorithm is too smart.
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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.
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.
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.