Website Magazine Information
There's been a big push for enterprises to implement SSL on their Web properties but it appears that at least one company may have been a little hasty in their processes.
By Kate Lobel, Power Digital Marketing
Many things have changed in the public relations (PR) industry in recent years. In fact, PR today looks drastically different than it did just a few short years ago. It really hasn’t been that long since PR professionals spent their days faxing press releases to editors with the hopes of one of them getting picked up.
By Alyssa Nahatis, Adobe
The email sign-up process is the first of many steps along the customer journey—an opportunity for would-be customers to connect with your brand.
For the longest time photos were an afterthought to bloggers and webmasters. To some, they were thought of as eye candy; something that makes your page look nicer, but really doing nothing to improve SEO rankings, site health, or the conversion rates of your page but that is no longer the case.
Starting in January 2017, Google's Chrome browser will begin marking any page with a password or credit card field as insecure if the page is not on HTTPS.
For all of the talk of changing ranking factors and algorithm updates, ranking signals have remained largely the same. All indicators point to that trend continuing in 2017.
Google has spent the last few years releasing an array of algorithm updates all aimed at providing users the right information at the right time. Even with their latest roll out of Penguin 4.0, and its addition to the core algorithm, the main ranking factors are still content, links and user experience (e.g., technical signals like secure b, page speed and markup). These are still at the top of the list of ranking factors that mean the most to the bottom line...or top line in this case of the search engine result pages (SERPs).
"Tf-Idf" is a term used in the field of information retrieval. TF in full is Term Frequency. It means the number of times a term appears in a document. In most cases a term appears more times in a long document than in a short document. When calculating term frequency (tf), you take the term and divide it by the number of words in the document. An example is when the number of terms in a document is 200 and a term has been used 4 times. This is the tf; 4/200 = 0.02. Those of you who have been working in SEO for a while should recognize that formula from calculating keyword density.