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In 2009, a Facebook account holder Liked, on average, 4.5 Pages. In just four years, this number increased to an average of 40 Pages! Not only that, but brands have been expanding their use of social media in their marketing campaigns, raising the number of Facebook posts that they make from an average of five times per month to 36. This means that in 2009, Facebook users only had to keep up with a manageable 23 updates per month, whereas they are currently bombarded with around 1 440 updates per month!

Some countries Like even more Pages than the 40 Page average, making them even harder to penetrate. The US takes the lead, Liking a whopping 70 Pages! The UK and France are tied, with their Facebook users Liking 48 Pages, on average. Mexican Facebook users follow closely, Liking an average of 41 Pages.

Our figures show that FMCG brands in the US may find it especially difficult to reach their fans, as this industry has the most Liked Pages.

I’m not saying that going down the responsive road is all peaches and cream, but the idea is that once the foundation is set, the ongoing maintenance costs decrease over time, while dedicated sites have several additional reoccurring costs.

Project planners are typically used to chunking things out into “streams”, and I’ve seen several project plans that launch a desktop version, then subsequently mobile and eventually tablet versions. That’s not really how responsive design works. The team need to address all channels up front as one “stream” influences the rest of the design. This is important even if you are making a dedicated mobile site that utilizes responsive techniques.

Glanceable design is really quite a simple idea. People are increasingly overwhelmed by the amount of information they need to process on a daily basis. So why not create simple “glanceable” interfaces that let them see their most important data at a glance, with little or no interaction required.

glanceable displays should “convey minimum and specific information in a way that is designed to exploit the ‘preattentive’ processing ability of the human brain.”

77% of mobile searches take place in the home or at work where a PC is readily available. Whether you call it lazy or convenient, the simple fact is smartphones and tablets are quickly becoming the go-to computing devices for consumers.

In the post-PC era, customers expect companies to provide experiences aligned with their needs and abilities, in the right context, and at their moment of need.

Today, content is the interface and navigation is performed directly through gestures and voice commands. As a result, interactions are becoming multi-modal, engaging users through multiple senses.

Leaders at some companies have begun to include employees — not just senior executives, corporate spokespeople, and other authorized communicators — in the work of telling their company story. "Employee-generated content" is one term for this practice. Our term for it is inclusion, and it's one element of a new leadership model that we call organizational conversation.

That's a big departure from how leaders have traditionally managed the flow of ideas and information within their company. And, not surprisingly, there is a reluctance within many organizations to move in that direction. Recently, when we surveyed participants in an Executive Education program at Harvard Business School, more than half of them (51%) said that the goal of "encouraging employee voice" had "no priority" or had a "low priority" at their company.

People today are skeptical of slickly produced brand messages. They're skeptical of slick official spokespeople, too. Leaders who want to build public trust in their company brand, therefore, often recruit employees to serve as brand ambassadors. Training people who work for a company to speak for that company is a marketing practice that doubles as an engagement-building practice.

Facebook has done some initial experiments and found that the Recommendations Bar was getting three times more clicks than the posts in the Recommendations Box, according to a blog post from Facebook developer Jeffrey Spehar.

using both the Recommendations Box and the Recommendations Bar may be overkill.

If you are using the Recommendation Bar, you may not want to rely on that alone to allow people to like your post, since it doesn’t show up when someone is logged in as their page.

"Blogs were one of the earliest forms of social networking where people were writing 1,000 words," says Dr. William J. Ward, Social Media professor at Syracuse University. "When we moved to status updates on Facebook, our posts became shorter. Then micro-blogs like Twitter came along and shortened our updates to 140 characters. Now we are even skipping words altogether and moving towards more visual communication with social-sharing sites like Pinterest."

This trend toward the visual is also influenced by the shifting habits of technology users. As more people engage with social media via smartphones, they're discovering that taking a picture "on the go" using a high-resolution phone is much less tedious than typing out a status update on a two-inch keyboard.

A 2012 study by ROI Research found that when users engage with friends on social media sites, it's the pictures they took that are enjoyed the most. Forty-four percent of respondents are more likely to engage with brands if they post pictures than any other media

The beauty of such Big Data applications is that they can process Web-based text, digital images, and online video. They can also glean intelligence from the exploding social media sphere, whether it consists of blogs, chat forums, Twitter trends, or Facebook commentary. Traditional market research generally involves unnatural acts, such as surveys, mall-intercept interviews, and focus groups. Big Data examines what people say about what they have done or will do. That's in addition to tracking what people are actually doing about everything from crime to weather to shopping to brands. It is only Big Data's capacity for dealing with vast quantities of real-time unstructured data that makes this possible.

the number of Google queries about housing and real estate from one quarter to the next turns out to predict more accurately what's going to happen in the housing market than any team of expert real estate forecasters. Similarly, Google search queries on flu symptoms and treatments reveal weeks in advance what flu-related volumes hospital emergency departments can expect.

Much of the data organizations are crunching is human-generated. But machine sensors — what GE people like CMO Beth Comstock called "machine whispering" when I talked with her this past summer — are creating a second tsunami of data. Digital sensors on industrial hardware like aircraft engines, electric turbines, automobiles, consumer packaged goods, and shipping crates can communicate "location, movement, vibration, temperature, humidity, and even chemical changes in the air."

Examples of LinkedIn activities that will get visibility:Update your profilePost a status updateParticipate in a group discussionComment on someone else’s status updatePost to your LinkedIn company pageAnswer questions in LinkedIn Answers