And finally – ask them what their list’s average response rate is. You want to know what the average open rate is and what the average click-through rate is. If you can, try to find out what the typical conversion rate is for, say an email opt-in squeeze page. They may say “Hey – every landing page is different. Every email is different. I can’t help it if yours is terrible.” And that’s true.
First, I will show you a quick snapshot of the traffic uplift, which yielded an additional 400,000 unique visitors from organic search traffic on a monthly basis. Then I will explain to you the steps in which we took to get the client to this level. I have also tried to keep this quite general so everyone can adapt their own situation to this case study.
Hi Chris, "Good content" means a couple of things - good for readers and good for Google. Good content for readers means that the content answers questions, provides value, offers solutions, and is engaging. You want to keep the reader on the page and on your website for as long as possible. To make good content for Google, you have to provide the search engine with a set of signals - e.g., keywords, backlinks, low bounce rates, etc... The idea is that if you make good content for readers (engaging, valuable, actionable, and informative), your content will get more engagement. When your content gets more engagement Google will see it as good content too and put it higher in the SERPs. Making "good content" is about striking that balance. Let us know if that answered your question!
Remember when you used to rely solely on search engines for traffic? Remember when you worked on SEO and lived and died by your placement in Google? Were you #1? Assured success. Well, okay, maybe not assured. Success only came if the keywords were relevant to your site users, but it was the only real roadmap to generating site traffic and revenue.
Google is currently been inundated with reconsideration requests from webmasters all over the world. On public holidays the Search Quality teams do not look at reconsideration requests. See below analysis. From my experience it can take anywhere from 15-30+ days for Google to respond to reconsideration requests; during peak periods it can even take longer.
The Cisco data can be seven times higher than the Minnesota Internet Traffic Studies (MINTS) data not only because the Cisco figures are estimates for the global—not just the domestic US—Internet, but also because Cisco counts "general IP traffic (thus including closed networks that are not truly part of the Internet, but use IP, the Internet Protocol, such as the IPTV services of various telecom firms)". The MINTS estimate of US national backbone traffic for 2004, which may be interpolated as 200 petabytes/month, is a plausible three-fold multiple of the traffic of the US's largest backbone carrier, Level(3) Inc., which claims an average traffic level of 60 petabytes/month.
Work involving supervised machine learning to classify network traffic. Data are hand-classified (based upon flow content) to one of a number of categories. A combination of data set (hand-assigned) category and descripttions of the classified flows (such as flow length, port numbers, time between consecutive flows) are used to train the classifier. To give a better insight of the technique itself, initial assumptions are made as well as applying two other techniques in reality. One is to improve the quality and separation of the input of information leading to an increase in accuracy of the Naive Bayes classifier technique.