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Log Savvy is a SaaS (Software as a Service) solution that brings insight into your online community, to elucidate the emerging new metrics in community activity.
Web analytics experts are often expected to find ‘the needle in the haystack’ – the proverbial data haystack that is. Marketers, Sales Teams, Support Professionals and Executives rely on analytics systems to help them visualize key performance indicators. Analytics Teams are tasked with doing what it takes to find the right information, in the most efficient way possible. However, it’s no surprise that the demands on analytics team have escalated. There is more data than ever, more questions than ever. And for digital media and community Websites, the challenge is greater because current tools simply can not address the new types of questions and amount of data these Websites generate.
Since the advent of the Web, Web analytics tools have become a standard requirement for Websites. These tools are excellent for Web 1.0 metrics in cataloging Web traffic and page views. Where they fall short is in the rapidly evolving analytics needs around understanding social dynamics. Not only are communities prolific in creating content and communication, the metrics that are needed to understand and correlate community behavior simply don’t exist.
So whether your Website measures success by putting a new product in the hands of an influencer, segmenting your advertising based on behavior, or finding the most read user generated content, Log Savvy can help you find what answers matter to you. For analytics experts, Log Savvy helps you discover what matters in your community:
• Go way beyond traditional metrics to understand psychographic behavior
• Analyze across any number of data sources that contain user activity, profiles, content, and clicks
• Identify addictive user generated content
• Visualize how buzz flows to the mainstream
• Customize questions for your Website based on what metrics are important to you
• Find out what engages users most
• Discover key connections amongst community members
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