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 our Forrsights Workforce survey, Forrester annually surveys information workers.* I’m leading final preparation of our Forrsights Workforce survey focused on end user hardware and aimed at five major markets – the US, Canada, the UK, France, and Germany. By end user hardware, we primarily mean PC/Macs, tablets, and smartphones, but we may also focus a bit on peripherals. And we hope to mirror some of the questions from the Forrsights IT Hardware survey, which we develop after this one, so that we can compare results from this information worker survey to what IT buyers report in their survey. Analyst Heidi Shey is working on the other half of the survey, which will focus on security issues.
Below are the hypotheses and topics we plan to explore in the survey. Please give them a quick read, then post or email feedback by Friday, April 12 (Tuesday, April 16 at the very latest). If you are a Forrester client and would like to see a survey draft, please email your account rep and me.
These are statements of ideas we are planning to test in the survey questions, which are designed to confirm or disprove the idea. But we probably can’t fit all of these, so please help us prioritize – especially if you are a Forrsights Workforce client!
Have multiple devices used for work, including many that are personally chosen and/or owned; they spend significant money on devices used regularly for work; and they expect to continue doing so.
Often blend work and personal tasks on the same device, despite employer policies to the contrary.
This week, Google announced that it will shut down Google Reader on July 1, 2013. In its announcement, Google states that it’s doing this because the usage of Google Reader has declined and it wants to concentrate on fewer products. There was a lot of buzz online about this decision, and some fanatical Google Reader fans put together a petition to keep the RSS reader alive. They garnered more than 50,000 signatures in just a few hours.
This whole debate sparked my interest, and I analyzed Forrester’s Technographics® data to get a better understanding of the usage of RSS feeds over time. I found that Google is right about the decline. Our data shows that it was always only a dedicated group who used RSS feeds at least weekly — about 7% of US online adults in 2008; this had declined to just over 4% last year, with about one in 10 US online adults using RSS feeds about monthly.
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.
Yesterday The New York Times picked up the hopeful news from the global music business that the revenue free-fall from $38 billion a year more than a decade ago appears to have stopped at $16.5 billion, leaving the industry at less than half its pre-digital size. This bottoming out of the revenues will come as some relief to industry executives who have wished and prayed for this day because, until it actually arrived, nobody knew for sure what type of revenues to expect in the future. That can make running a business pretty tough.
The music industry is everybody's favorite example of digital disruption done wrong -- including mine, since I covered music for Forrester several times. I have some classic stories I could tell to illustrate the point about executives who believed that suing customers was the path to profitability and so on, but I'll spare you those. However, as the author of a book called Digital Disruption, I actually owe it to the music industry for teaching me a few key principles of how to manage digital disruption:
Orange’s CEO mentioned during a business show on French TV that Orange is receiving money from Google for transmitting Google’s traffic (most of which stems from YouTube). No details about the financial arrangement of the year-old deal were disclosed.
So, does the Orange-Google deal mean that Orange has won a true victory and that the balance of power between carriers and OSPs is restored? Does the deal really address the challenges of the carrier world? Hardly.
Carriers rely on video content that drives demand for high broadband connectivity. Moreover, consumers already pay the carriers for their broadband connectivity. In my opinion, there is a valid argument that those end users who want high-quality video should be able to have it at extra cost. But this extra fee could be paid directly to the carrier in the form of a high-end broadband connection fee. Alternatively, the carrier could offer wholesale connectivity to OSPs, allowing the OSPs to offer content that comes with embedded high-quality connectivity.
Today is, apparently, Cyber Monday in the UK. But there's a more interesting story in the UK's eCommerce market. It's about tax.
The debate is about the tax policies of a number of prominent multi-national businesses that operate in the UK, including Amazon, eBay, Google, Starbucks and Vodafone, most of which pay little or no Corporation Tax, which is levied as a percentage of profits. (It's relatively easy and perfectly legal for a subsidiary of a multi-national company to avoid taxes on profits in one country by buying services from a sister company in another country so that it makes no profit in the first country.)
Today, the Public Accounts Committee of the House of Commons published a scathing report on tax avoidance by multi-national companies operating in the UK. As the report puts it about Starbucks, which has made no profits in the UK for 14 of the past 15 years: "We found it difficult to believe that a commercial company with a 31% market share by turnover, with a responsibility to its shareholders and investors to make a decent return, was trading with apparent losses for nearly every year of its operation in the UK." What the committee says about Amazon is, if anything, worse.
What's the relevance to eBusiness? While it's uncomfortable for Google and Starbucks to be in the limelight for the wrong reasons, demand for both information and coffee is (presumably) fairly constant through the year. But for retailers Amazon and eBay, the timing couldn't be worse, because this debate is taking place in the run-up to Christmas, the crucial sales period for all retailers in the UK.
It's now a year later and a lot has happened. Digital Disruption will soon be available as a hardback book (also as an eBook, natch). You can pre-order a copy now at Forr.com/DDbook. To complete the book I had to get far outside of my comfort zone -- I work with media companies and consumer product companies primarily, but to prove that digital disruption is a fundamental change in the way we all do business, I had to interview people in the pharmaceutical industry, the military camouflage industry, and I even recently spoke to the CIO of a cement manufacturer! And to my pleasant surprise, they were every bit as digitally disruptive as their counterparts in the consumer-facing enterprises that we think of when we imagine digital disruption.
One of the main reasons every company can be and eventually must be a digital disruptor is the rise of digital platforms. These platforms are founded on a set of devices, wrapped together with software experiences that identify each customer individually, and are open to app contributions from thousands of partners. The platform owners that matter today are Amazon, Apple, Facebook, Google, and Microsoft.
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.
Microsoft Windows will power just one-third of personal computing devices sold during 2012. Say what? Over the past five years, the transition to mobile devices has transformed Microsoft’s position from desktop dominance to one of several players vying for share in a new competitive landscape.
And so Microsoft is making some very bold moves to transform Windows: creating a singular touch-native UX for a seamless experience across PCs and mobile devices, building an app store distribution model, and engaging its vast user base to develop core personal cloud services.
You’ll learn about the trends and behaviors shaping a painful, but ultimately successful, five-year migration for the Windows franchise. We will size and forecast the future of Windows’ presence in a device landscape where market share is measured across all computing devices, not just PCs. And we will outline the new personal computing success metrics for OS providers and ecosystems, which look beyond device market share to customer engagement across multiple formats, online services, and content delivery.