Georgia resident Andy Morar is in the market for a BMW. So recently he sent a note to a showroom near Atlanta, using a form on the dealer’s website to provide his name and contact information.
His note went to the dealership—but it also went, without his knowledge, to a company that tracks car shoppers online. In a flash, an analysis of the auto websites Mr. Morar had anonymously visited could be paired with his real name and studied by his local car dealer.
Read the full Story here: http://online.wsj.com/article/SB10001424127887324784404578143144132736214.html
Filed under: Web Analytics
In a previous article at Online Behavior, Auria Moore discussed the Inevitability of the Tag Management System, where she described the irony that the more useful and relevant your site becomes, the worse it may actually perform. This happens because websites are continuously adding tags to enhance their tracking, optimization or other functionality; this ends up crowding pages with third party tags and may slower the website.
For this reason, the Google Tag Manager, a free solution for tag management, is very welcomed, especially by Marketers. In the past, everything was controlled by webmasters, including website tracking, which was highly technical as it required dealing with log files. Then, in 2005, Google made the JavaScript method widely available with Google Analytics, but it still required a technical integration by webmasters as it required adding codes to the website.
The launch of Google Analytics App for Android phones!
- Real-Time: See the number of visitors you currently have and a list of the pages (for websites) or screens (for apps) that are currently popular.
- Dashboard: Monitor the KPIs and user metrics you care about the most. By default, you’ll see your Daily Unique Visitors and your Goal Conversion Rate, but you can customize the dashboard to change which reports, metrics, or segments you see.
- Automatic and Customized Alerts: Google Analytics detects statistical anomalies in your data and can send you an alert when something unusual happens. See either automatic alerts, or customize your settings to send alerts based on your own benchmarks.
Filed under: Web Analytics
Real-time analytics startup Chartbeat is making two big announcements today. The first should be pretty obvious to anyone who uses the service — it’s unveiling a big redesign. And it’s not stopping there, since the second announcement is a $9.5 million Series B round of funding.
The redesign is pretty similar to the preview that I saw about a month ago. The big goal is to start providing numbers that go beyond how many people are looking at a website or article at a given moment. So at the top of the new dashboard, in addition to the familiar meter showing the number of concurrent visitors to a site, there’s a new widget telling you how much time visitors have spent engaged on the site in aggregate — for example, I learned that by the middle of the Sunday afternoon, TechCrunch readers that day had collectively spent two years and six months engaged with our content (which is kind of scary). It also shows the average engagement time per user and per page.
The new dashboard also highlights content that’s getting unusual attention in some way — not just by pure pageview count, but say if a page is seeing a lot of traffic from search, or from social networks. Traffic to the whole site is also broken down based on type (specifically direct traffic, links, social, search, and internal) and compared to the traffic seen by similar sites. Chartbeat is also launching a new dashboard focused specifically on social network engagement, and it’s beta testing a feature to track visitor data for your iPhone app.
More: http://techcrunch.com/2012/04/16/chartbeat-redesign-series-b
Filed under: Web Analytics
In this presentation, Professor Peter Fader illustrates a remarkably simple but powerful model to predict future repeat purchasing patterns in a standard spreadsheet environment. The particular focus here is on non-profits trying to project donations, but it’s broadly applicable to many other B2B and B2C companies as well. Beyond the performance of the model, this talk also offers useful insights about data management and managerial diagnostics for model assessment.
Professor Fader also discusses the gap between academic research and industry use of marketing data. As the Co-Founder of the Wharton Customer Analytics Initiative, he shares how this initiative uses an innovative crowdsourcing process to develop new statistical methods and apply them across a wide range of industries.
Filed under: Analytics, Datarati, Datarati.TV, Video, Web Analytics | Tags: Google Analytics, Video
http://online-behavior.com/googleanalytics/myths
Filed under: Social Media, Web Analytics | Tags: Google Analytics, Social Media
Justin Cutroni talks to Daniel Waisberg about Google Analytics best practices, latest developments, and the future of the Web Analytics industry.
Justin starts by discussing the latest Google Analytics developments and the reasons behind them. According to him:
Google is really listening to us as a community, as marketers and Analysts, on what we are trying to measure and what behavior we are trying to understand, and they are trying to give us the tools that really attack those problems.
He then discusses best practices on designing Google Analytics accounts, which is a process of translating business goals into product implementation. He shares valuable tips for newbies on how to get started with Google Analytics: what to look for and powerful techniques that are usually missed.
More: http://online-behavior.com/googleanalytics/justin-cutroni
In this presentation, delivered at the Google Analytics Users’ Great Event New York 2011, Corey Koberg discusses Social Media measurement using Google Analytics. He starts by talking about what is available from an analysis and collection point of view, social segmentation, social campaign tracking and mobile social interactions.
Corey presents stats on the rise of Social and the challenges that it brings to interaction measurement. One specific set of reports that exist on Google Analytics is the Social Interaction Analytics, which attempts to track social actions within websites. Corey discusses implementation best practices in order to produce accurate and clean data and also analysis tips.
More: http://online-behavior.com/googleanalytics/social-media-measurement
