Commonly, click analytics focuses on on-site analytics. An editor of a web site uses click analytics to determine the performance of his or her particular site, with regards to where the users of the site are clicking.
Also, click analytics may happen real-time or "unreal"-time, depending on the type of information sought. Typically, frontpage editors on high-traffic news media sites will want to monitor their pages in real-time, to optimize the content. Editors, designers or other types of stakeholders may analyze clicks on a wider time frame to aid them assess performance of writers, design elements or advertisements etc.
Data about clicks may be gathered in at least two ways. Ideally, a click is "logged" when it occurs, and this method requires some functionality that picks up relevant information when the event occurs. Alternatively, one may institute the assumption that a page view is a result of a click, and therefore log a simulated click that lead to that page view.
"Mesmerizing & fascinating..."Â âThe Seattle Post-Intelligencer
"TheÂ FreakonomicsÂ of big data." âStein Kretsinger, founding executive of Advertising.com
Award-winning | Used by over 30 universities | Translated into 9 languages
An introduction for everyone. In this rich, fascinating â surprisingly accessible â introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a âhow toâ for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques.
Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die.
Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections.
How? Prediction is powered by the world's most potent, flourishing unnaturalÂ resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine.Â Big dataÂ embodies an extraordinary wealth of experience from which to learn.
Predictive AnalyticsÂ unleashes the power of data. With this technology,Â the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.
In this lucid, captivating introduction â now in its Revised and Updated edition â former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction:
How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more.
A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it â or consumed by it â get a handle on the power ofÂ Predictive Analytics.
Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Why buy several books on web marketing when you can buy just one? With this must-have resource, five marketing professionals team up to share their expertise in the field of web marketing so that you can benefit from their know-how. Covering everything from site building, search engine optimization, and web analytics to online advertising, e-mail marketing, and harnessing the potential of social media, this team of web marketing gurus brings their insight and experience to the table and it's yours for the taking.
Web Marketing All in One For Dummies, 2nd Edition shows you how to get your online name out there so that customers can find you easily.
Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you'll find a quantitative approach for measuring a website's effectiveness and the methods for posing and answering specific questions about how users navigate a website. The book is organized according to the concerns UX practitioners face. Chapters are devoted to traffic, clickpath, and content use analysis, measuring the effectiveness of design changes, including A/B testing, building user profiles based on search habits, supporting usability test findings with reporting, and more. This is the must-have resource you need to start capitalizing on web analytics and analyze websites effectively.
Manage research, learning and skills at defaultLogic. Create an account using LinkedIn or facebook to manage and organize your IT knowledge. defaultLogic works like a shopping cart for information -- helping you to save, discuss and share.