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  1. Google Analytics Language Report: What You Can Learn About Your Visitors

    Now that you understand the report and can manipulate the data to suit your needs, you should be able to analyze your users' languages much better and use this data to help you make improvements to your website to help users with different...

  2. Google, NASA Join Forces to Research Machine Learning

    Examples today include using supercomputers to model space weather, simulate planetary atmospheres, explore magnetohydrodynamics, mimic galactic collisions, simulate hypersonic vehicles, and analyse large amounts of mission data," said Colin...

  3. 16 Secret Google Analytics Advanced Segments Worth Their Weight in Gold

    Analyzing your website data with Google Analytics is much like mining for gold. If web analytics is like gold mining, then a Google Analytics advanced segment is the pickaxe you need to chisel through your data to expose the glimmering insights...

  4. BloomReach Adds 4 New Metrics to Measure Page Quality

    CQM is a quality assurance algorithm, of sorts, based on data the company has collected and analyzed over “four years and a 150 million pages,” said Joelle Kaufman, head of marketing at BloomReach. For example, if your site has inventory of black A...

  5. 3 Keys to Activating an Audience with Smarter Content

    Since you've got the tools in place to collect this data, use it to understand what's driving discovery and engagement among the target. Every content marketing program should leverage tools and technologies that track and make actionable data...

  6. 22 Facebook PR Secrets Every Community Manager Should Know

    The Complete Social Media Community Manager’s Guide” by Marty Weintraub and Lauren Litwinka along with “The Science of Marketing” by Dan Zarrella offer latest top shelf insights, data, and tips when it comes to how a brand can rank in authenticity...

  7. How to Create Compelling Content Based on Learning Styles

    Logical learners retain info by using logic and by applying patterns to help organize the data. Visual, or spatial learners, prefer to use their eyes to absorb pictures and images and make use of colors, maps, and diagrams to organize data.