Web UX - Performance Web. The State Of E-Commerce Checkout Design 2012. Advertisement A year ago we published an article on 11 fundamental guidelines for e-commerce checkout design1 here at Smashing Magazine.
The guidelines presented were based on the 63 findings of a larger E-Commerce Checkout Usability research study we conducted in 2011 focusing strictly on the checkout user experience, from “cart” to “completed order”. This year we’ve taken a look at the state of e-commerce checkouts by documenting and benchmarking the checkout processes of the top 100 grossing e-commerce websites2 based on the findings from the original research study. This has lead to a massive checkout database with 508 checkout steps reviewed, 975 screenshots, and 3,000+ examples of adherences and violations of the checkout usability guidelines. Here’s a walkthrough of just a handful of the interesting stats we’ve found when benchmarking the top 100 grossing e-commerce websites’ checkout processes: 81% Think Their Newsletter Is A “Must Have” (And Don’t Value Customer Privacy)
Feature Column from the AMS. As we'll see, the trick is to ask the web itself to rank the importance of pages...
Imagine a library containing 25 billion documents but with no centralized organization and no librarians. In addition, anyone may add a document at any time without telling anyone. You may feel sure that one of the documents contained in the collection has a piece of information that is vitally important to you, and, being impatient like most of us, you'd like to find it in a matter of seconds. How would you go about doing it? Posed in this way, the problem seems impossible. Most search engines, including Google, continually run an army of computer programs that retrieve pages from the web, index the words in each document, and store this information in an efficient format. One way to determine the importance of pages is to use a human-generated ranking. Google's PageRank algorithm assesses the importance of web pages without human evaluation of the content. How to tell who's important Computing I . .
If . Conseils pour l'optimisation des performances web. Exceptional Performance. Yahoo!
's Exceptional Performance team promotes best practices for improving web page performance. They conduct research, build tools, write articles and blogs, and speak at conferences. Best Practices The Yahoo! Exceptional Performance team has identified a number of best practice rules for making web pages fast. YSlow for Firebug Use the YSlow tool to analyze a web pages and get a report on why the web page is slow based on the best practices for high performance web sites. Research Research conducted by the Exceptional Performance team is documented in the following Yahoo!
Developer Support & Community Web page performance and the YSlow tools are discussed in the Exceptional Performance Group. You can also use the feedback form to report feedback, bugs, and request features. Videos About High Performance Web Pages Both general web development and performance-related videos are available on the Yahoo! Books About High Performance Web Pages. Outils pour les webmasters - Autres ressources. Retour aux fondamentaux : exclure votre propre adresse IP par filtrage.
Si votre équipe marketing passe son temps à vérifier le site Web dont vous effectuez le suivi à l'aide de Google Analytics, vous pouvez décider d'exclure des adresses IP spécifiques par filtrage.
Vous aurez ainsi l'assurance que vous n'effectuez pas le suivi de visites non pertinentes sur votre site. L'exclusion de ces adresses IP peut vous aider à obtenir des chiffres plus précis pour les statistiques, telles que la durée moyenne passée sur le site. Par exemple, votre équipe marketing est probablement le visiteur qui y passe chaque jour le plus de temps.
Cela vous permet également d'obtenir des valeurs plus proches de la réalité concernant la situation géographique de vos visiteurs, etc. Pour commencer à exclure des adresses IP par filtrage, procédez comme suit : 1. 3. 4. 5.