Read e-book online Web Analytics 1.0: An Hour a Day PDF

By Avinash Kaushik

ISBN-10: 0470130652

ISBN-13: 9780470130650

Written through an in-the-trenches practitioner, this step by step consultant indicates you the way to enforce a profitable net analytics procedure. internet analytics professional Avinash Kaushik, in his thought-provoking kind, debunks major myths and leads you on a route to gaining actionable insights out of your analytics efforts. become aware of how one can flow past clickstream research, why qualitative info will be your concentration, and extra insights and methods that can assist you strengthen a customer-centric attitude with out sacrificing your company’s backside line.Note: CD-ROM/DVD and different supplementary fabrics aren't incorporated as a part of publication dossier.

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We will do search analysis (and not just external keywords, but also internal site searches). The objective is to become really smart about clickstream analysis and to start truly inferring the intent of our site visitors. There is a downside to inferring intent: two people may look at the same set of data and clicks on the website and form differing sets of interpretation. This is usually because each of us is a collection of our own unique background and experiences. The great thing about acknowledging that we are inferring intents is that we are free to make those inferences, present them to our peer group, validate them, and then draw conclusions and make recommendations.

Now the vendor could do this rather than having to go through the company IT department. ” Perhaps the next evolutionary step in website analytics was the introduction of the site overlay (sometimes called click density). Now rather than combing through a complex set of data or pouring over tables full of data, decision makers could simply open the web page that they wanted analyzed in a browser—and for the chosen time period, the browser / web analytics application would display exactly where the website visitors clicked.

You can leverage surveys and simply ask them, or there are very complex statistical quantitative and qualitative methodologies you can bring to bear. Surveys will allow you to measure customer satisfaction and even predict future behavior (likelihood to buy or to recommend your products or services). As will be clear throughout this book, I am a huge believer of experimentation and testing (let’s have the customers tell us what they prefer) by using either the A/B testing methodology or multivariate testing.

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Web Analytics 1.0: An Hour a Day by Avinash Kaushik


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