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Why Social Media Really Matters

Customer Experience Matrix

If you’ve been wondering why Google should be concerned about Twitter and Facebook , that’s your answer. database marketing, or, more poetically, narrowcasting. At most they ask for service if there’s a problem. Today it is represented primarily by television. You can date TV-dominated era from, say, 1950 to 1985.

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Facebook’s Look Back Videos and the Power of Personalization

Vidyard

For the past few days, “look back” videos have been a new recurring theme on my Facebook feed. To celebrate the 10th anniversary of the social network, Facebook has made personalized videos based on your profile. At least, everything Facebook knows about – which is a surprising amount. Don’t believe me?

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Do I Need A Video? 5 Questions To Ask For Your Next Campaign

Vidyard

The same principle applies to explaining your product, or service. Facebook has expanded their video presence dramatically, and over 700 YouTube videos are shared on Twitter every minute. If your product or service is very niche based, building a video and hoping it goes viral isn’t a winning strategy.

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34 (of the) Best Google+ Tips, Tactics and Guides of 2011

Webbiquity

It’s the tool Google will use to beat Facebook. Circles enable you to ‘narrowcast’ messages…Suddenly, Google+ can enable micro-targeting via circles.”). How to Migrate from Facebook to Google+ by How-To Geek. Google+ (or Google Plus) is many different things, depending on who you ask.

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Klout and the Reality of Return on Influence

Convince & Convert

Fast, inexpensive, great service. Jay: The book is called “Return on Influence” The question people always have about Klout and similar services is how can you possibly deign to measure something as amorphous as influence? Maybe Narrowcasting Trumps Broadcasting. Video production by my friends at Candidio.

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42 Digital Marketing Trends You Can’t Ignore in 2020

Single Grain

You can rent these R2-D2-like robots for $7 an hour – which is less expensive than a human security guard's wage: Just a couple years ago, Gartner analysts predicted that by 2020, AI technologies would be pervasive in almost every new software product and service – a prediction that Harvard Business Review seconded earlier in 2019.