The videos below are a collection of the most interesting videos (in terms of content and presentation skills) on Web Analytics & Optimization, the art and science of improving websites based on the analysis of visitors’ behavior. Learn a broad range of techniques (such as social media, segmentation and other website optimization) in order to turn new visitors into customers and returning customers into loyal friends.
Jim Sterne shares with us insights on what is new in the Web Analytics field and in the eMetrics Marketing Optimization Summit Washington DC 2010. Learn more about online maturity, social media measurement and the future of Web Analytics.
In this "Questions & Answers" session from eMetrics Marketing Optimization Summit San Jose 2010, Bryan Eisenberg and Eric T. Peterson answer to online marketing optimization questions from the audience.
In this presentation, Bryan Eisenberg speaks about optimizing website conversion rates. Brian compares the conversion optimization journey with losing weight as both require a daily routine that start as a very difficult effort and gradually become an addiction to improving the website. The most important element is to have a clear reason for this journey: why are you putting all this effort, what do you want to achieve?
In this interview, Stephane Hamel shares insights about his Online Analytics Maturity Model, which is aimed at sparking discussions and bring interest to Web Analytics in organization. He also provides tips on Web Analytics consulting, both for external consultants and for Analysts inside a company that need to interact with multiple teams. Last, he presents his new project: gaAddons.
In Part III Neil Mason presents examples on how to use data mining and segmentation to understand customers and create personas based on behavior. This will help us to understand where the customers are likely to go, helping us to design their experience and target them in a more scientific way.
Following Neil Mason's discussion on Data Mining Process and Predictive Analytics (part I of this presentation), he nows discusses the Data Extraction, Transformation and Loading, a critical step on the data mining process. Neil also goes over a case study on customer segmentation where he explains two different ways of applying behavioral segmentation strategies.
In this presentation delivered at Stanford, Dan Siroker, responsible for Analytics & Testing at the Obama Campaign, describes how they used data to win the presidential election. He shares numbers and insights into how to apply Analytics to drive decision making on developing, designing, and marketing a website.
"Data: Discovery: Tell me something that I don't know" is the definition of data mining - discovering unexpected patterns and relationships in data. In Part I Neil discusses the difficulty of extracting signals from all the noise present in the overwhelming quantity of data we deal with nowadays.
This video provides a short summary of the book "Drive: The surprising truth about what motivates us", written by Daniel Pink. The insights shared can be used both to understand how to provide the best online experience to your visitors and to keep your Web Analysts happy on your company.
In part II of Peter Sanborn's presentation, he goes on to explain how Microsoft.com manages its website analytics and tries continuously to answer the question: how do you calculate ROI on a non-ecommerce site?