Increasing Your Website's Conversion Rate. Understanding Bot and Spider Filtering from Google Analytics On July 30th, 2014, Google Analytics announced a new feature to automatically exclude bots and spiders from your data. In the view level of the admin area, you now have the option to check a box labeled “Exclude traffic from known bots and spiders”. Most of the posts I’ve read on the topic are simply mirroring the announcement, and not really talking about why you want to check the box. Maybe a more interesting question would be why would you NOT want to? Still, for most people you’re going to want to ultimately check this box. I’ll tell you why, but also how to test it beforehand.
Read More… 20 Google Facts & Stats that Every Marketer Should Know No company dictates the online marketing industry and all of our careers like Google. This post outlines 20 things that every marketer should know about Google. If we missed any important facts, please let us know in the comments. Easy Cohort Analysis for Blogs and Articles Read More… Analytics simplify data to amplify its value - James Taylor's De. With IBM's announcement this week that it was acquiring SPSS I have been talking to a lot of folks about analytics. Analytics is one of those topics that is often on the edge of what IT people know so I thought a couple of posts on analytics might be useful. Now analytics can mean a lot of things and different people interpret it differently but I always like to go back to one I first heard at FICO: Analytics simplify data to amplify its value This always struck me as going to the core of analytics - the power of analytics to turn huge volumes of data into a much smaller amount of information and insight.
VisualizationsStatistical analysesData mining resultsPredictive models In every case the analytics are simplifying the data (a picture, a graph, an equation not thousands of rows of data) and yet amplifying its value by showing a data consumer what the data means. IT people need to educate themselves on the role of these different kinds of analytics and their potential. Smart Data Collective | Interview: General John Handy on Militar.
General John Handy is the just the kind of guy you want with you in a foxhole, if the foxhole were flying at 10,000 feet. Over a 39-year career in the U.S. armed services, he was a pilot, a wing commander, the Vice Chief of the Air Force and finally the guy who ran the equivalent of UPS and travel service for the Pentagon (U.S. Transportation Command). I had the pleasure of recently interviewing General Handy, now retired and advisor to large corporations about their management and logistics, for SmartDataCollective, and here’s a short snapshot of his wide-ranging insights about: How data analysis and decision-making have changed dramatically in the past few years;How decision-making is now as “real time” as the capture of data itself;How to use sophisticated data analysis to better balance the subjective opinions of your team.
I hope you enjoy the interview, and you will find General Handy here as a member on SmartDataCollective.com. Listen to the podcast: Anderson Analytics - home. Web Analytics, Behavioral Targeting and Advertising Consulting. 3 Roles in Web Analytics. Despite slow economy many companies are hiring web analysts. A quick search on Simplyhired.com, a site that powers the Web Analytics job board on my blog, shows that there are currently 2,007 open positions and indeed.com, another job sites shows over 4800 open positions.
That is a huge number. However, many job seekers I have talked to feel frustrated because most of the jobs have a laundry list of requirements and they don’t feel that they are a right fit for most of these open positions. A lot of “Web Analytics” job openings ask for many of the following: Experience in online marketingExperience in Web AnalyticsExperience in – Google analytics, Omniture, Webtrends, Coremetrics etc. Most of the companies looking for a “web analysts” are in one of the following three stages of web analytics staffing Companies who fall in stage 1 and 2 above are the ones who are usually not clear on the role of a “web analyst” and hence create this laundry list of skills. 3 Roles in Web Analytics.
OX2 Web Analytics blog. KAIZEN Analytics. Predictive Analytics: Predictive Analytics at your fingertips: S. Web Analytics and Online Strategies Specialist ZoomMetrix.com. Web Analytics, E-business and Marketing Optimization Blog | WebA. This is an article I wrote for Website Magazine in 2011. I recommend that you pick up their latest issue to read many more articles. The American magazine “reaches 142,709 qualified website owners and Internet professionals and the largest audience of website owners and managers in the field.” There are many reasons why your attempts at conversion optimization could fail. If you avoid the mistakes listed in this article, then you will be more likely to succeed — it’s as simple as that. To achieve success in conversion optimization, here are the five biggest mistakes to avoid. 1. Getting blinded by your own knowledge and preferences If your conversion optimization efforts are largely based on what you like and how you behave, then you are more likely to fail.
According to renowned psychologist David Keirsey, everyone falls into one of sixteen temperaments. Which temperament are you trying to sell to? 2. 3. Maybe you are increasing one goal at the expense of others? 4. 5.
Our 8 Most Popular Analytics Posts of 2009: The ROI Revolution B. Our 8 Most Popular Analytics Posts of 2009 December 29, 2009 The end of the year is a nice time to take a look back over all that was accomplished throughout the year. To that end, I'm going to give you a list of our top 8 Analytics Blog Posts of 2009. As we go through the list, I'll give you a short description of each post as well as any random thoughts I have about the post. Enjoy the posts and have a Happy New Year! #1. 6 Tools Every GA User Should Have Shawn Purtell Random Thoughts: This was by far the most popular post of 2009. . #2. Jeremy Aube What's up with that frog? #3. Michael Harrison We've seen people do a lot of crazy Google Analytics setups. . #4 ga.js code for GWO Yet another update to GARE.
. #5. 5 Advanced Segments for Ecommerce Another list post, this one dealing with using the fairly-new, enterprise-level feature, advanced segments, to uncover more than ever before about your ecommerce data. . #6. 6 Tools to Troubleshoot GA Random: #7. Caitlin Cook #8. Kevin Hillstrom: MineThatData. Blog. Cambridge, Mass. – March 4, 2011 – Via Science announced the acquisition of Dataspora, a predictive analytics firm that helps companies solve complex big data problems. The acquisition helps strengthen Via Science’s positioning to support the consumer packaged goods and retail sectors, areas of focus for Dataspora. REFS™ provides the ability to leverage causal mathematics at scale with its supercomputing platform. This allows decision-makers to make better use of data with mathematical models that can diagnose problems or predict future outcomes. Via Science has invested over 10 years and $25 million to prove the value of REFS™ in high-stakes problem areas such as precision medicine and quantitative trading.
Dataspora has experience leveraging predictive analytics in numerous industry verticals. Via Science has integrated the knowledge acquired, and will continue to target the core sectors Dataspora pioneered. About Via Science Via Science = Big (Math + Computing + Data) Foviance · customer experience, usability, web analytics, access.