You can no longer segment your business customers into those who use social media for business purposes and those who do not. Why not? Because according to Forrester’s newest B2B Social Technographics® numbers, fully 100% of business decision-makers use social media for work purposes. Other stunningly high numbers: 98% of business decision-makers are Spectators (they read blogs, watch videos, or listen to podcasts), 79% are Joiners (they maintain a profile on social networking sites), and 75% are Critics (they comment on blogs and post ratings and reviews), all in the context of their business activities.
Therefore, it’s no longer a question of whether you should use social, but how. B2B marketing executives no longer need convincing to invest in social. However, social marketing efforts are maturing beyond experimentation — where measuring results is secondary — to science. At this more advanced stage of maturity, marketers need to understand exactly how and when their customers are using social and target them differently in each stage of the customer life cycle.
Your customers don’t make blanket use of “social media,” “social networks,” or “communities” in general. Instead, they use specific social networks and communities for specific goals, both personal and business-related. The communities your customers visit for personal reasons are not always the ones they use for business purposes.
For business purposes, the No. 1 and No. 2 communities aren’t specific public social networks but “niche” communities focused on specific objectives. For example, business technology buyers might visit IT Central Station or Spiceworks to learn more about multiple competing technologies at once; alternatively, they might visit a community managed by a single brand, such as the Cisco Communities or SAP Community Network (SCN).
Today, Facebook announced a new road map for its social advertising solutions. Over the coming months, Facebook will evolve its ad offerings to:
Focus on business objectives. “Do Facebook advertising” is not a business object unto itself. Social advertising broadly, and Facebook advertising specifically, is just one piece of a broader mix of options to reach new audiences. Facebook plans to help marketers align their spending to their business objectives by offering solutions specifically for brand marketers, online retailers, and other types of advertisers.
Make social ads more social. Facebook’s data shows that ads on its site work better when they contain a social component (e.g., ‘your friend Nate likes this brand’) — so soon, all Facebook ads will contain social elements by default. This is part of a larger trend to make social advertising more personal than traditional display advertising.
Simplify its advertising options. As Fidji Simo, Facebook Ads Product Manager, said today, "it should be simpler." Today, Facebook offers a veritable Chinese menu of ad units that frankly confuse most marketers. To simplify ad buying, Facebook plans to slash its existing number of ad units in half to create a simpler ad-buying experience.
Last month I published new research on the Database of Affinity — a catalogue of people’s tastes and preferences collected by observing their social behaviors on sites like Facebook and Twitter — and how that database will change marketing. And I'm pleased to say I've gotten a lot of great feedback on that research. So I'm excited to be presenting the idea on stage at our Marketing Leadership Forum in London later this month.
What is the database of affinity?
I hope you'll be able to join us in London on May 21 and 22.
Recently we described an idea called the database of affinity: A catalogue of people’s tastes and preferences collected by observing their social behaviors on sites like Facebook and Twitter. Why are we so excited about this idea? Because if Facebook or Twitter or some other company can effectively harness the data from all the likes and shares and votes and reviews they record, they could bring untold rigor, discipline, and success to brand advertising.
But exploiting the database of affinity won’t be easy. Any company hoping to turn affinity data into something marketers can use will need three things:
Lots of affinity data from lots of sources. The raw data required to build a functional database of affinity doesn’t live in just one place. Facebook controls the most "like" data, recording more than 80 billion per month at last check. But Twitter records more "talking" than anyone else (1.5 billion tweets per month); Amazon collects the most reviews (well over 6 million per month); and Google’s YouTube and Google Display Network have data on how a billion people prefer to spend their time.
The ability to bring meaning to that data. It’s easy to draw simple conclusions from affinity data: If you ‘like’ snowboarding you might like to see an ad for energy drinks. But the real value in affinity data won’t be unlocked until we can find hidden combinations of affinity that work for marketing. That’ll require technologies and teams that can do some serious data analysis — as well as a real-time feedback loop to determine whether people really are interested in the ads targeted to them based on such complex assumptions.
For years, brand marketers have guessed at people’s affinities from the barest of demographic, geographic, and contextual clues. We deduce that Midwestern men prefer pickup trucks and that people watching extreme sports like energy drinks, and then we spend billions advertising to these inferred affinities.
But today, we no longer have to guess. Every day huge numbers of people online tell us what they like. They do this by clicking a ‘like’ button, of course — but there are many other ways people express affinity: talking about things on Twitter and in blogs; reviewing things on Amazon and Yelp; spending time with content on YouTube (and telling us where they’re spending their offline time on Foursquare); and sharing things through both public and private social channels.
People’s rush to post their affinities online recalls another flood of data that began a decade ago: the explosion in online searches. John Battelle once described the data created by search as the “database of intentions,” which I’d define as “a catalogue of people’s needs and desires collected by observing their search behaviors.” In the same way, the result of all these online expressions of “liking” has created the “database of affinity,” which Forrester defines as:
A catalogue of people’s tastes and preferences collected by observing their social behaviors.
Facebook made headlines last Friday with its announcement that it had been the victim of a sophisticated security attack. All major news publications picked up the story, citing widespread concern about the implications of the breach.
The breach itself, however, was largely a nonevent from a security standpoint.
Facebook identified the security breach before it infiltrated too deeply into company systems, remediated all compromised machines, informed law enforcement, and reported the Java exploit to its parent owner Oracle – acting quickly and appropriately. Most importantly, Facebook made it clear that the breach did not expose any of its users’ data.
My Facebook account is now part of the beta group for Facebook Graph Search, and I’ve spent some time taking it for a spin.
It’s clear this will be a powerful feature, but as Nate Elliott has already blogged, it feels like something Facebook should have built some time ago. What I predict to be the most common searches, such as “which of my friends live in London” or “people my friends are friends with who work at Ford Motors,” are powerful, but basic, features that users have been requesting for a long time. The first rollout will also be missing obvious road map features, including the ability to search for links and status updates that you or your graph have posted.
The success of any individual Graph Search reflects what data (and activities) users directly provide Facebook, and today, many of the online activities that Graph Search encompasses take place on other social properties. Facebook often facilitates the social graphs of the other social properties with Facebook Connect, but Graph Search cannot “see” into that data. The average Facebook “like” is also less meaningful than Facebook's development team hopes, as others have also blogged.
Today’s announcements at the Open Compute Project (OCP) 2013 Summit could be considered as tangible markers for the OCP crossing the line into real relevance as an important influence on emerging hyper-scale and cloud computing as well as having a potential bleed-through into the world of enterprise data centers and computing. This is obviously a subjective viewpoint – there is no objective standard for relevance, only post-facto recognition that something was important or not. But in this case I’m going to stick my neck out and predict that OCP will have some influence and will be a sticky presence in the industry for many years.
Even if their specs (which look generally quite good) do not get picked up verbatim, they will act as an influence on major vendors who will, much like the auto industry in the 1970s, get the message that there is a market for economical “low-frills” alternatives.
Major OCP Initiatives
To date, OCP has announced a number of useful hardware specifications, including:
Don’t link to your Facebook brand page from your B2B corporate home page just to show your CMO you know what Facebook is.
Forrester has long-viewed our POST — people, objectives, strategy, and tools/technology, in that order — methodology as a primary tool for social marketers to use when developing a social strategy. This requires thinking about your audience and their social behaviors first (people), then your business objectives that you are using social to meet, then what your strategy should be, and finally, what tools, technology, and platforms will help you reach your goals. Yet I’m having more and more conversations with B2B marketers who haven’t articulated their audience’s business social behaviors about social platforms they maintain a corporate presence on and link to on their corporate home pages.
Your customers’ and prospects’ use of social is exceedingly context dependent — and you only care what they are doing in a business context in relation to your solution. Forrester’s data consistently shows that Facebook is not very influential in the B2B purchase process. For this reason, before you decide to put a link to your Facebook group (or page) on your B2B corporate home page because your peers in other organizations have done so, or your CMO requested it, consider the following questions:
Does my audience use Facebook in the context of my solutions (e.g., to talk about networking hardware or financial services), or just in a personal context (e.g., to look at photos of their children’s soccer game or talk about their upcoming vacation)?
Do I have an active community on Facebook so that when a customer goes to my Facebook page, they will have a positive experience with my brand?
Windows 8 is a make or break product launch for Microsoft. Windows will endure a slow start as traditional PC users delay upgrades, while those eager for Windows tablets jump in. After a slow start in 2013, Windows 8 will take hold in 2014, keeping Microsoft relevant and the master of the PC market, but simply a contender in tablets, and a distant third in smartphones.
Microsoft has long dominated PC units, with something more than 95% sales. The incremental gains of Apple’s Mac products over the last five years haven’t really changed that reality. But the tremendous growth of smartphones, and then tablets, has. If you combine all the unit sales of personal devices, Microsoft’s share of units has shrunk drastically to about 30% in 2012.
It’s hard to absorb the reality of the shift without a picture, so in the report “Windows: The Next Five Years,” we estimated and forecast the unit sales of PCs, smartphones, and tablets from 2008 to 2016 to create a visual. As you can see below in the chart of unit sales, Microsoft has and will continue to grow unit sales of Windows and Windows Phone. But the mobile market grew very fast in the last five years, while Microsoft had tiny share in smartphones and no share in tablets.
If you look at the results by share of all personal devices, below, you can see how big a shift happened over the last five years as smartphone units exploded and the iPad took hold.