Mix up your official tweets about specials, discounts, and news with fun, brand-building tweets . Be sure to retweet when a customer has something nice to say about you, and don’t forget to answer people’s questions when possible. Using Twitter as a social media marketing tool revolves around dialog and communication, so be sure to interact as much as possible to nurture and build your following.
Social media marketing involves the use of social networks, consumer's online brand-related activities (COBRA) and electronic word of mouth (eWOM) to successfully advertise online. Social networks such as Facebook and Twitter provide advertisers with information about the likes and dislikes of their consumers. This technique is crucial, as it provides the businesses with a "target audience". With social networks, information relevant to the user's likes is available to businesses; who then advertise accordingly. Activities such as uploading a picture of your "new Converse sneakers to Facebook" is an example of a COBRA. Electronic recommendations and appraisals are a convenient manner to have a product promoted via "consumer-to-consumer interactions. An example of eWOM would be an online hotel review; the hotel company can have two possible outcomes based on their service. A good service would result in a positive review which gets the hotel free advertising via social media. However, a poor service will result in a negative consumer review which can potentially harm the company's reputation.
Sharing Curated Links — While using social media for marketing is a great way to leverage your own unique, original content to gain followers, fans, and devotees, it’s also an opportunity to link to outside articles as well. If other sources provide great, valuable information you think your target audience will enjoy, don’t be shy about linking to them. Curating and linking to outside sources improves trust and reliability, and you may even get some links in return.
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.
Thanks for sharing such a valuable and informative blog here and I read your blog really nice explanation about search engine marketing and it’s platforms and I have read many blogs related to SEM but here i found some new things and strategies so thank you very much for sharing such a valuable post for us so keep posting and I am waiting for your next post also.
These posts can be one or more of the following: images, photo sets, animated GIFs, video, audio, and text posts. For the users to differentiate the promoted posts to the regular users' posts, the promoted posts have a dollar symbol on the corner. On May 6, 2014, Tumblr announced customization and theming on mobile apps for brands to advertise.
Write a description that would both inform and interest users if they saw your description meta tag as a snippet in a search result. While there's no minimal or maximal length for the text in a description meta tag, we recommend making sure that it's long enough to be fully shown in Search (note that users may see different sized snippets depending on how and where they search), and contains all the relevant information users would need to determine whether the page will be useful and relevant to them.
Creating high quality content takes a significant amount of at least one of the following: time, effort, expertise, and talent/skill. Content should be factually accurate, clearly written, and comprehensive. So, for example, if you describe your page as a recipe, provide a complete recipe that is easy to follow, rather than just a set of ingredients or a basic description of the dish.
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.
Snapchat is a popular messaging and picture exchanging application that was created in 2011 by three students at Stanford University named Evan Spiegel, Bobby Murphy, and Reggie Brown. The application was first developed to allow users to message back and forth and to also send photographs that are only available from 1–10 seconds until they are no longer available. The app was an instant hit with social media members and today there are up to 158 million people using snapchat every single day. It is also estimated that Snapchat users are opening the application approximately 18 times per day, which means users are on the app for about 25–30 minutes per day.
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 only needed 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.