Thoughts on stoicism, marketing or both, by the business editor and writer.
(This blog post originally was published by PointClear)
Last month I attended the Future of Business conference in New York City, sponsored by international software giant SAP. One of the featured speakers was Josh Linkner, founder and CEO of Detroit Venture Partners, whose company enables startups in the infamously dystopian town. But Linkner was not here to talk about bootstrapping Detroit. What he did talk about was an eye-opening presentation about how to bring the “startup mentality” to enterprise companies.
“The entrepreneurial journey is celebrated, of course, when it results in fame and fortune,” said the diminutive VC capitalist. “It’s a messy process, but by clawing and scratching you can achieve something special. It’s all about the mindset. All of us in the enterprise can embrace the same entrepreneurial spirit.”
Linkner cited a number of companies that once were dominant in their fields: Blockbuster, Sears, Kodak, Research In Motion (aka, BlackBerry), Borders, et alii. They’re all in varying degrees of trouble. These guys got complacent, Linkner claimed. Read more…
The purpose of content marketing
Never before have marketers had so much information about prospects, customers, the competition, and the markets they hope to reach. Sounds like a happy situation, right? But say “Big Data” instead of “information,” and marketer smiles will turn upside down in a hurry.
But Big Data is information—competitive knowledge about the behaviors of customers, helping you learn how to adopt to those customers’ needs. This provides an excellent opportunity to respond in kind, with campaigns of information that directly address those needs.
Data flows like a river through the world, regardless of what problem it is asked to solve. Marketers just need fishing hooks to find it and fish it out of the river. The data might include mostly words, not numbers, so you may have to invest in technology not to get lost in the fire hose. But finding the opportunities in Big Data can be deceptively simple. Read more…