New Analytics Tool Helps Brand Managers Identify, Track Facebook Advocates Social software provider Dachis Group introduced a sophisticated analytics tool that allows brand managers to track the impact of top advocates of their brands. Advocate Insight taps into Dachis Group’s social analytics platform, which monitors and measures daily interactions between 30,000 brands and 100 million social accounts, to help brand managers identify and engage with their biggest brand loyalists. Its features include: Dachis Group Founder, President, and Chief Executive Officer Jeffrey Dachis said: Our customers are rapidly embracing and mobilizing advocates in social for two primary reasons. One, it’s the only way to truly scale a brand’s engagement efforts across today’s vastly growing social ecosystems, because the math won’t allow you to get there by just adding additional community managers.
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The Facebook Fallacy Facebook not only is on course to go bust but will take the rest of the ad-supported Web with it. Given its vast cash reserves and the glacial pace of business reckonings, this assertion will sound exaggerated. But that doesn’t mean it isn’t true. Innovative Consumer Marketing Solutions. SequentialT: The Future of Fan Engagement - Solutions SEQUENTIALT delivers an innovative suite of fan engagement and data capture tools that drive improved efficiencies and results for your organization: Our program identifies fans in-venue, as well as fans “at-large, revolutionizing the way sports organizations and brands monetize their fans. In-Venue Fans… a Data Goldmine. Knowing who is in your venue is the most elusive- yet critical data for your organization.
Writing C DLLs for use with VB Author: David Zimmer Site: Environment: VB6 + VC6 As your VB coding develops, one of the logical steps is to learn how to integrate in C/C++ code with your VB projects. Stuck on what to say? Online marketing simplified. - Checkerboard Web Design Often the biggest problem customers have with social media, and with search engine optimization (SEO) through blogging, is they don’t know what to say. Our local business starter pack is designed to give businesses a jump start into their SEO, social media and email marketing programs. We start with a simple content schedule centered around our clients’ daily routines. The Social Media ROI Cookbook: How Brands Measure the Revenue Impact of Social Media Everyone talks about the challenges of measuring the revenue impact of social media, but how are top brands actually doing it? And are they successfully measuring ROI? My colleague Andrew Jones and I spoke with 16 brands, 38 vendors, 3 agencies and 4 ecosystem contributors, and surveyed 71 social media and analytics practitioners to answer this question and provide pragmatic recommendations. The result is our “Social Media ROI Cookbook,” which aims to identify and describe the most effective “recipes” for measuring the revenue impact of social media that we have seen adopted to date. Here’s what we learned: Only 30% of brands we surveyed consider themselves to be “effective” or “extremely effective” at connecting social media to revenue.
A Library for Support Vector Machines LIBSVM -- A Library for Support Vector Machines Chih-Chung Chang and Chih-Jen Lin Version 3.18 released on April Fools' day, 2014. It conducts some minor fixes. LIBSVM tools provides many extensions of LIBSVM. When is the best time to send emails? Pinpointing the best day and time to send a campaign is difficult because ideal sending times vary between industries and lists, and may also depend on the segment of a list you're sending to. We send around 200-300 million emails every day, so we've got a LOT of data. With lots of data, we can try to answer tough questions like this one. Enter the Email Genome Project. We scanned over a billion emails to identify general trends and help you determine the best time to send your campaign using our send time optimization tool.
Kurrently - real-time social media search engine (Twitter, Facebook, Google+) These Terms of Service constitute an agreement (“Agreement”) between you (“you”, “your”, or “User”) and Kurrently Inc. (“Kurrently”, “us”, “we” or “our”). By using Kurrently's search engine or other Kurrently services, including use of the Kurrently feeds or the website located at www.kurrently.com (collectively, the "Services"), you agree, without limitation or qualification, to be bound by, and to comply with, the terms of this Agreement. Kurrently reserves the right to modify these Terms of Service at any time without prior notice. You agree that each time you use the Services, that use shall be subject to the then-current Terms of Service, and continued use of the Services now or following modifications in these Terms of Service confirms that you have read, accepted, and agreed to be bound by such modifications.
Clustering - Fuzzy C-means A Tutorial on Clustering Algorithms Introduction | K-means | Fuzzy C-means | Hierarchical | Mixture of Gaussians | Links Fuzzy C-Means Clustering The Algorithm Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters. This method (developed by Dunn in 1973 and improved by Bezdek in 1981) is frequently used in pattern recognition. It is based on minimization of the following objective function: