Youtility Why Smart Marketing Is About Help Not Hype By Jay Baer
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Youtility
The difference between helping and selling is just two letters If you're wondering how to make your products seem more exciting online, you're asking the wrong question. You're not competing for attention only against other similar products. You're competing against your customers' friends and family and viral videos and cute puppies. To win attention these days you must ask a different question: "How can we help?" Jay Baer's Youtility offers a new approach that cuts through the clutter: marketing that is truly, inherently useful. If you sell something, you make a customer today, but if you genuinely help someone, you create a customer for life.
Too Big to Ignore
Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.
Get Scrappy
Marketing is changing rapidly, so sometimes it’s hard to keep up. Don’t get frustrated, get scrappy. It’s an exciting time to be in marketing, with an array of equalizing platforms from the Internet to social media to content marketing, that have reset the playing field for businesses large and small. Yet, it's also a challenging time, with much work to do and an ever-changing array of platforms, features, and networks to master--all on tighter budgets than ever before. In Get Scrappy, chief brand strategist Nick Westergaard weaves hacks, tips, and idea starters together to provide a plan of attack for businesses of any size to: Demystify digital marketing in a way that makes sense for your business Do more with less Build a strong brand with something to say Create relevant and engaging content for your social media platforms Spark dialogue with your community of customers Measure what matter The result will be a reliable, repeatable system for building your brand, creating engaging content, and growing your community of customers. Don’t wait for marketing to reinvent itself. Instead, proactively reinvent your company’s marketing to maximize its reach!