Read Outside-In Marketing: Using Big Data to Guide your Content Marketing (IBM Press)

Outside-In Marketing: Using Big Data to Guide your Content Marketing (IBM Press)

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Description:Marketing has always been about "me": my brand, my product, my company. But "inside-out" marketing no longer works: your customers simply won't tolerate it anymore. You need to transform your marketing to "outside in." Every message you deliver must engage, fascinate, and motivate the right audiences, because you start and finish with what they already care about. Your marketing itself must provide value to customers -- whether they buy today, next month, or far into the future. How do you know what messages will do that? How do you get those messages past tough new digital gatekeepers? You start here, with Outside In Marketing.Two world-renowned digital marketing thought leaders will show how to integrate content marketing with Big Data to deliver exactly the right messages to exactly the right customers and influencers. IBM's James Mathewson and Converseon's Mike Moran reveal how to make the most of today's Big Data algorithms to shape your messages and get them past Google and Facebook. You'll find up-to-the-minute practices, techniques, recommendations, guidelines, and metrics for mining the language your customers already use, so you can engage them on their terms, with their words. Mathewson and Moran show how to:Go beyond "guess and hope" to transform your marketing practices, campaigns, and channels with Big DataRecognize how Google uses natural language processing, machine learning, and data analytics "against" you - and overcome the obstacles they createInfuse search and social data into product development from its very inception, so you can tightly align your offerings with customer needsMeasure campaign results more accurately, and feed metrics right back into practices for iterative improvementDiscover exactly what content is working now, and what's failingUncover powerful new opportunities to develop discoverable, shareable contentGo beyond high-quality content: align all your marketing and communications practices to support outside-in marketingLeverage advanced applications of text analytics and machine learning, including Panda, Penguin, Caffeine, and sophisticated sentiment analysisBuild standout web and mobile sites based on all you've learned about your customersFind the right mix, cadence, and combination of social platforms to maximize ROIWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Outside-In Marketing: Using Big Data to Guide your Content Marketing (IBM Press). To get started finding Outside-In Marketing: Using Big Data to Guide your Content Marketing (IBM Press), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: 2016

ISBN: 0133375560

Description: Marketing has always been about "me": my brand, my product, my company. But "inside-out" marketing no longer works: your customers simply won't tolerate it anymore. You need to transform your marketing to "outside in." Every message you deliver must engage, fascinate, and motivate the right audiences, because you start and finish with what they already care about. Your marketing itself must provide value to customers -- whether they buy today, next month, or far into the future. How do you know what messages will do that? How do you get those messages past tough new digital gatekeepers? You start here, with Outside In Marketing.Two world-renowned digital marketing thought leaders will show how to integrate content marketing with Big Data to deliver exactly the right messages to exactly the right customers and influencers. IBM's James Mathewson and Converseon's Mike Moran reveal how to make the most of today's Big Data algorithms to shape your messages and get them past Google and Facebook. You'll find up-to-the-minute practices, techniques, recommendations, guidelines, and metrics for mining the language your customers already use, so you can engage them on their terms, with their words. Mathewson and Moran show how to:Go beyond "guess and hope" to transform your marketing practices, campaigns, and channels with Big DataRecognize how Google uses natural language processing, machine learning, and data analytics "against" you - and overcome the obstacles they createInfuse search and social data into product development from its very inception, so you can tightly align your offerings with customer needsMeasure campaign results more accurately, and feed metrics right back into practices for iterative improvementDiscover exactly what content is working now, and what's failingUncover powerful new opportunities to develop discoverable, shareable contentGo beyond high-quality content: align all your marketing and communications practices to support outside-in marketingLeverage advanced applications of text analytics and machine learning, including Panda, Penguin, Caffeine, and sophisticated sentiment analysisBuild standout web and mobile sites based on all you've learned about your customersFind the right mix, cadence, and combination of social platforms to maximize ROIWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Outside-In Marketing: Using Big Data to Guide your Content Marketing (IBM Press). To get started finding Outside-In Marketing: Using Big Data to Guide your Content Marketing (IBM Press), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Outside-In Marketing: Using Big Data to Guide your Content Marketing (IBM Press)

Outside-In Marketing: Using Big Data to Guide your Content Marketing (IBM Press)

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