The May 20th 2013 edition of The New Yorker has an article by Vogue writer Nathan Heller on Massive Online Open Courses (MOOCs) titled "Laptop U: Has the future of college moved online?" The author explores, or at least raises, a number of related questions. How (well) does the traditional offline learning experience transfer online? Is the online learning experience more or less effective than the traditional one? (By what standard? For what material? What is gained and lost?) What will MOOCs mean for different colleges and universities, and their faculties? How will the MOOC revolution be funded? (In particular, what revenue model will emerge?)
Having worked a lot in the sector, for both public and private university clients, developing everything from technology, to online-enabled programs themselves, to analytic approaches, and even on marketing and promotion, the article was a good prompt for me to try to boil out some ways to think about answering these questions.
The article focuses almost exclusively on Harvard and EdX, the 12-school joint venture through which it's pursuing MOOCs. Obviously this skews the evaluation. Heller writes:
Education is a curiously alchemical process. Its vicissitudes are hard to isolate. Why do some students retain what they learned in a course for years, while others lose it through the other ear over their summer breaks? Is the fact that Bill Gates and Mark Zuckerberg dropped out of Harvard to revolutionize the tech industry a sign that their Harvard educations worked, or that they failed? The answer matters, because the mechanism by which conveyed knowledge blooms into an education is the standard by which MOOCs will either enrich teaching in this country or deplete it.
For me, the first step to boiling things out is to define what we mean by -- and want from -- an "education". So, let's try to unpack why people go to college. In most cases, Reason One is that you need a degree to get any sort of decent job. Reason Two is to plug into a network of people -- fellow students, alumni, faculty -- that provide you a life-long community. Of course you need a professional community for that Job thing, but also because in an otherwise anomic society you need an archipelago to seed friendships, companionships, and self-definition (or at least, as scaffolding for your personal brand: as one junior I heard on a recent college visit put it memorably, "Being here is part of the personal narrative I'm building.") Reason Three -- firmly third -- is to get an "education" in the sense that Heller describes. (Apropos: check this recording of David Foster Wallace's 2005 commencement address at Kenyon College.)
Next, this hierarchy of needs then gives us a way to evaluate the prospects for MOOCs.
If organization X can produce graduates demonstrably better qualified (through objective testing, portfolios of work, and experience) to do job Y, at a lower cost, then it will thrive. If organization X can do this better and cheaper by offering and/or curating/ aggregating MOOCs, then MOOCs will thrive. If a MOOC can demonstrate an adequately superior result / contribution to the end outcome, and do it inexpensively enough to hold its place in the curriculum, and do it often enough that its edge becomes a self-fulfilling prophecy -- a brand, in other words -- then it will crowd out its competitors, as surely as one plant shuts out the sunlight to another. Anyone care to bet against Georgia Tech's new $7K Master's in Computer Science?
If a MOOC-mediated social experience can connect you to a Club You Want To Be A Member Of, you will pay for that. And if a Club That Would Have You As A Member can attract you to its clubhouse with MOOCs, then MOOCs will line the shelves of its bar. The winning MOOC cocktails will be the ones that best produce the desired social outcomes, with the greatest number of satisfying connections.
Finally, learning is as much about the frame of mind of the student as it is about the quality of the teacher. If through the MOOC the student is able to choose a better time to engage, and can manage better the pace of the delivery of the subject matter, then the MOOC wins.
Beyond general prospects, as you consider these principles, it becomes clear that it's less about whether MOOCs win, but which ones, for what and for whom, and how.
The more objective and standardized -- and thus measurable and comparable -- the learning outcome and the standard of achievement, the greater the potential for a MOOC to dominate. My program either works, or it doesn't.
If a MOOC facilitates the kinds of content exchanges that seed and stimulate offline social gatherings -- pitches to VCs, or mock interviewing, or poetry, or dance routines, or photography, or music, or historical tours, or bird-watching trips, or snowblower-maintenance workshops -- then it has a better chance of fulfilling the longings of its students for connection and belonging.
And, the more well-developed the surrounding Internet ecosystem (Wikipedia, discussion groups, Quora forums, and beyond) is around a topic, the less I need a Harvard professor, or even a Harvard grad student, to help me, however nuanced and alchemical the experience I miss might otherwise have been. The prospect of schlepping to class or office hours on a cold, rainy November night has a way of diluting the urge to be there live in case something serendipitous happens.
Understanding how MOOCs win then also becomes a clue to understanding potential revenue models.
If you can get accredited to offer a degree based in part or whole on MOOCs, you can charge for that degree, and gets students or the government to pay for it (Exhibit A: University of Phoenix). That's hard, but as a variant of this, you can get hired by an organization, or a syndicate of organizations you organize, to produce tailored degree programs -- think corporate training programs on steroids -- that use MOOCs to filter and train students. (Think "You, Student, pay for the 101-level stuff; if you pass you get a certificate and an invitation to attend the 201-level stuff that we fund; if you pass that we give you a job.")
Funding can come directly, or be subsidized by sponsors and advertisers, or both.
You can try to charge for content: if you produce a MOOC that someone else wants to include in a degree-based program, you can try to license it, in part or in whole.
You can make money via the service angle, the way self-publishing firms support authors, with a variety of best-practice based production services. Delivery might be offered via a freemium model -- the content might be free, but access to premium groups, with teaching assistant support, might come at a price. You can also promote MOOCs -- build awareness, drive distribution, even simply brand -- for a cut of the action, the way publishers and event promoters do.
Perhaps in the not-too-distant future we'll get the Academic Upfront, in which Universities front a semester's worth of classes in a MOOC, then pitch the class to sponsors, the way TV networks do today. Or, maybe the retail industry also offers a window into how MOOCs will be monetized. Today's retail environment is dominated by global brands (think professors as fashion designers) and big-box (plus Amazon) firms that dominate supply chains and distrubution networks. Together, Brands and Retailers effectively act as filters: we make assumptions that the products on their shelves are safe, effective, reasonably priced, acceptably stylish, well-supported. In exchange, we'll pay their markup. This logic sounds a cautionary note for many schools: boutiques can survive as part of or at the edges of the mega-retailers' ecosystems, but small-to-mid-size firms reselling commodities get crushed.
Of course, these are all generic, unoriginal (see Ecclesiastes 1:9) speculations. Successful revenue models will blend careful attention to segmenting target markets and working back from their needs, resources, and processes (certain models might be friendlier to budgets and purchasing mechanisms than others) with thoughtful in-the-wild testing of the ideas. Monolithic executions with Neolithic measurement plans ("Gee, the focus group loved it, I can't understand why no one's signing up for the paid version!") are unlikely to get very far. Instead, be sure to design with testability in mind (make content modular enough to package or offer a la carte, for example). Maybe even use Kickstarter as a lab for different models!
I just finished reading Converge, the new book on integrating technology, creativity, and media by Razorfish CEO Bob Lord and his colleague Ray Velez, the firm’s CTO. (Full disclosure: I’ve known Bob as a colleague, former boss, and friend for more than twenty years and I’m a proud Razorfish alum from a decade ago.)
Reflecting on the book I’m reminded of the novelist William Gibson’s famous comment in a 2003 Economist interview that “The future’s already here, it’s just not evenly distributed.” In this case, the near-perfect perch that two already-smart guys have on the Digital Revolution and its impact on global brands has provided them a view of a new reality most of the rest of us perceive only dimly.
So what is this emerging reality? Somewhere along the line in my business education I heard the phrase, “A brand is a promise.” Bob and Ray now say, “The brand is a service.” In virtually all businesses that touch end consumers, and extending well into relevant supply chains, information technology has now made it possible to turn what used to be communication media into elements of the actual fulfillment of whatever product or service the firm provides.
One example they point to is Tesco’s virtual store format, in which images of stocked store shelves are projected on the wall of, say, a train station, and commuters can snap the QR codes on the yogurt or quarts of milk displayed and have their order delivered to their homes by the time they arrive there: Tesco’s turned the billboard into your cupboard. Another example they cite is Audi City, the Kinnect-powered configurator experience through which you can explore and order the Audi of your dreams. As the authors say, “marketing is commerce, and commerce is marketing.”
But Bob and Ray don’t just describe, they also prescribe. I’ll leave you to read the specific suggestions, which aren’t necessarily new. What is fresh here is the compelling case they make for them; for example, their point-by-point case for leveraging the public cloud is very persuasive, even for the most security-conscious CIO. Also useful is their summary of the Agile method, and of how they’ve applied it for their clients.
Looking more deeply, the book isn’t just another surf on the zeitgeist, but is theoretically well-grounded. At one point early on, they say, “The villain in this book is the silo.” On reading this (nicely turned phrase), I was reminded of the “experience curve” business strategy concept I learned at Bain & Company many years ago. The experience curve, based on the idea that the more you make and sell of something, the better you (should) get at it, describes a fairly predictable mathematical relationship between experience and cost, and therefore between relative market share and profit margins. One of the ways you can maximize experience is through functional specialization, which of course has the side effect of encouraging the development of organizational silos. A hidden assumption in this strategy is that customer needs and associated attention spans stay pinned down and stable long enough to achieve experience-driven profitable ways to serve them. But in today’s super-fragmented, hyper-connected, kaleidoscopic marketplace, this assumption breaks down, and the way to compete shifts from capturing experience through specialization, to generating experience “at-bats” through speedy iteration, innovation, and execution. And this latter competitive mode relies more on the kind of cross-disciplinary integration that Bob and Ray describe so richly.
The book is a quick, engaging read, full of good stories drawn from their extensive experiences with blue-chip brands and interesting upstarts, and with some useful bits of historical analysis that frame their arguments well (in particular, I Iiked their exposition of the television upfront). But maybe the best thing I can say about it is that it encouraged me to push harder and faster to stay in front of the future that’s already here. Or, as a friend says, “We gotta get with the ‘90’s, they’re almost over!”
I've written a short book. It's called "Pragmalytics: Practical Approaches to Marketing Analytics in the Digital Age". It's a collection and synthesis of some of the things I've learned over the last several years about how to take better advantage of data (Big and little) to make better marketing decisions, and to get better returns on your investments in this area.
The main point of the book is the need for orchestration. I see too much of the focus today on "If we build It (the Big Data Machine, with some data scientist high priests to look after it), good things will happen." My experience has been that you need to get "ecosystemic conditions" in balance to get value. You need to agree on where to focus. You need to get access to the data. You need to have the operational flexibility to act on any insights. And, you need to cultivate an "analytic marketer" mindset in your broader marketing team that blends perspectives, rather than cultivating an elite but blinkered cadre of "marketing analysts". Over the next few weeks, I'll further outline some of what's in the book in a few posts here on my blog.
I'm really grateful to the folks who were kind enough to help me with the book. The list includes: Mike Bernstein, Tip Clifton, Susan Ellerin, Ann Hackett, Perry Hewitt, Jeff Hupe, Ben Kline, Janelle Leonard, Sam Mawn-Mahlau, Bob Neuhaus, Judah Phillips, Trish Gorman Clifford, Rob Schmults, Michelle Seaton, Tad Staley, and my business partner, Jamie Schein. As I said in the book, if you like any of it, they get credit for salvaging it. The rest -- including several bits that even on the thousandth reading still aren't as clear as they should be, plus a couple of typos I need to fix -- are entirely my responsibility.
I'm also grateful to the wonderful firms and colleagues and clients I've had the good fortune to work for and with. I've named the ones I can, but in general have erred on the side of respecting their privacy and confidentiality where the work isn't otherwise in the public domain. To all of them: Thank You!
This field is evolving quickly in some ways, but there are also some timeless principles that apply to it. So, there are bits of the book that I'm sure won't age well (including some that are already obsolete), but others that I hope might. While I'm not one of those coveted Data Scientists by training, I'm deep into this stuff on a regular basis at whatever level is necessary to get a positive return from the effort. So if you're looking for a book on selecting an appropriate regression technique, or tuning Hadoop, you won't find that here, but if you're looking for a book about how to keep all the balls in the air (and in your brain), it might be useful to you. It's purposefully short -- about half the length of a typical business book. My mental model was to make it about as thick as "The Elements of Style", since that's something I use a lot (though you probably won't think so!). Plus, it's organized so you can jump in anywhere and snack as you wish, since this stuff can be toxic in large doses.
In writing it amidst all the Big Data craziness, I was reminded of Gandhi's saying (paraphrased) "First they ignore you... then they fight you, then you win." Having been in the world of marketing analytics now for a while, it seems appropriate to say that "First they ignore you, then they hype you, then you blend in." We're now in the "hype" phase. Not a day goes by without some big piece in the media about Big Data or Data Scientists (who now have hit the highly symbolic "$300k" salary benchmark -- and last time we saw it, in the middle part of the last decade in the online ad sales world, was a sell signal BTW). "Pragmalytics" is more about the "blend in" phase, when all this "cool" stuff is more a part of the furniture that needs to work in harmony with the rest of the operation to make a difference.
"Pragmalytics" is available via Amazon (among other places). If you read it please do me a favor and rate and review it, or even better, please get in touch if you have questions or suggestions for improving it. FWIW, any earnings from it will go to Nashoba Learning Group (a school for kids with autism and related disorders).
Where it makes sense, I'd be very pleased to come talk to you and your colleagues about the ideas in the book and how to apply them, and possibly to explore working together. Also, in a triumph of Hope over Experience, my next book (starting now) will be a collection and synthesis of interviews with other senior marketing executives trying to put Big Data to work. So if you would be interested in sharing some experiences, or know folks who would, I'd love to talk.
About the cover: it's meant to convey the harmonious convergence of "Mars", "Venus", and "Earth" mindsets: that is, a blend of analytic acuity, creativity and communication ability, and practicality and results-orientation that we try to bring to our work. Fellow nerds will appreciate that it's a Cumulative Distribution Function where the exponent is, in a nod to an example in the book, 1.007.
Facebook's Sponsored Stories feature is one of the ad targeting horses the firm's counting on to pull it out of its current valuation morass (read this, via @bussgang).
Sponsored Stories is a virality-enhancing mechanism (no jokes please, that was an "a" not an "i") that allows Facebook advertisers to increase the reach of Facebook users' interactions with the advertisers' brands on Facebook (Likes, Check-ins, etc.). It does this by increasing the number of a user's Facebook friends who see such engagements with the advertisers' brands beyond the limited number who would, under normal application of the Facebook news feed algorithm, see those endorsements.
Many users are outraged that this unholy Son-Of-Beacon feature violates their privacy, to the point that they sue-and-settle (or try to, oops).
What they are missing perhaps is the opportunity to "surf" an advertiser's Sponsored Stories investment to amplify their own self-promotion or mere narcissism.
Consider the following simple example. Starbucks is / has been using this ad program. Let's say I go to Starbucks and "check in" on Facebook. Juiced by Sponsored Stories (within the additional impressions Starbucks has paid for), all of my Facebook friends browsing their news feeds will see I've checked in at Starbucks (and presumably feel all verklempt about a brand that could attract such a valued friend).
Now, what if I, savvy small business person, comment in my check in that I'm "at Starbucks, discussing my <link>NEW BOOK</link> with friends!" I've pulled off the social media equivalent of pasting my bumper sticker on Starbucks' billboard.
I need to look more closely into this, but as I understand it, the Sponsored Stories feature can't today prevent users from including negative feedback in their brand engagements, where such flexibility is provided for. So if they can't handle the negative yet, it may still be that they can't prevent more general forms of off-brand messaging.
I'm sure others have considered this and other possibilities. Comments very welcome! Meanwhile, I'm off to Starbucks to discuss my upcoming NEW BOOK.
Paul Simon wrote, "Every generation throws a hero at the pop charts." Now it's Marissa Mayer's turn to try to make Yahoo!'s chart pop. This will be hard because few tech companies are able to sustain value creation much past their IPOs.
What strategic path for Yahoo! satisfies the following important requirements?
Yahoo!'s company profile is a little buzzwordy but offers a potential point of departure. What Yahoo! says:
"Our vision is to deliver your world, your way. We do that by using technology, insights, and intuition to create deeply personal digital experiences that keep more than half a billion people connected to what matters the most to them – across devices, on every continent, in more than 30 languages. And we connect advertisers to the consumers who matter to them most – the ones who will build their businesses – through our unique combination of Science + Art + Scale."
What Cesar infers:
Yahoo! is a filter.
Here are some big things the Internet helps us do:
Every one of these functions has an 800 lb. gorilla, and a few aspirants, attached to it:
Um, filter... Filter. There's a flood of information out there. Who's doing a great job of filtering it for me? Google alerts? Useful but very crude. Twitter? I browse my followings for nuggets, but sometimes these are hard to parse from the droppings. Facebook? Sorry friends, but my inner sociopath complains it has to work too hard to sift the news I can use from the River of Life.
Filtering is still a tough, unsolved problem, arguably the problem of the age (or at least it was last year when I said so). The best tool I've found for helping me build filters is Yahoo! Pipes. (Example)
As far as I can tell, Pipes has remained this slightly wonky tool in Yahoo's bazaar suite of products. Nerds like me get a lot of leverage from the service, but it's a bit hard to explain the concept, and the semi-programmatic interface is powerful but definitely not for the general public.
Now, what if Yahoo! were to embrace filtering as its core proposition, and build off the Pipes idea and experience under the guidance of Google's own UI guru -- the very same Ms. Mayer, hopefully applying the lessons of iGoogle's rise and fall -- to make it possible for its users to filter their worlds more effectively? If you think about it, there are various services out there that tackle individual aspects of the filtering challenge: professional (e.g. NY Times, Vogue, Car and Driver), social (Facebook, subReddits), tribal (online communities extending from often offline affinities), algorithmic (Amazon-style collaborative filtering), sponsored (e.g., coupon sites). No one is doing a good job of pulling these all together and allowing me to tailor their spews to my life. Right now it's up to me to follow Gina Trapani's Lifehacker suggestion, which is to use Pipes.
OK so let's review:
Well, let's look at this a bit. I'd argue that a good filter is effectively a "passive search engine". Basically through the filters people construct -- effectively "stored searches" -- they tell you what it is they are really interested in, and in what context and time they want it. With cookie-based targeting under pressure on multiple fronts, advertisers will be looking for impression inventories that provide search-like value propositions without the tracking headaches. Whoever can do this well could make major bank from advertisers looking for an alternative to the online ad biz Hydra (aka Google, Facebook, Apple, plus assorted minor others).
Savvy advertisers and publishers will pooh-pooh the idea that individual Pipemakers would be numerous enough or consistent enough on their own to provide the reach that is the reason Yahoo! is still in business. But I think there's lots of ways around this. For one, there's already plenty of precedent at other media companies for suggesting proto-Pipes -- usually called "channels", Yahoo! calls them "sites" (example), and they have RSS feeds. Portals like Yahoo!, major media like the NYT, and universities like Harvard suggest categories, offer pre-packaged RSS feeds, and even give you the ability to roll your own feed out of their content. The problem is that it's still marketed as RSS, which even in this day and age is still a bit beyond for most folks. But if you find a more user-friendly way to "clone and extend" suggested Pipes, friends' Pipes, sponsored Pipes, etc., you've got a start.
Check? Lots of hand-waving, I know. But what's true is that Yahoo! has suffered from a loss of a clear identity. And the path to re-growing its value starts with fixing that problem.
Good luck Marissa!
In May 2007, Microsoft paid $6 billion to buy aQuantive. Today, only five years later, they wrote off the whole investment. Since I wrote about this a lot five years ago (here, here and here), it prompted me to think about what happened, and what I might learn. Here are a few observations:
1. 2006 / 2007 was a frothy time in the ad network market, both for ads and for the firms themselves, reflecting the economy in general.
2. Microsoft came late to the party, chasing aQuantive (desperately) after Google had taken DoubleClick off the table.
3. So, Microsoft paid a 100% premium to aQuantive's market cap to get the firm.
4. Here's the way Microsoft might have been seeing things at the time:
a. "Thick client OS and productivity applications business in decline -- the future is in the cloud."
b. "Cloud business model uncertain, but certainly lower price point than our desktop franchise; must explore all options; maybe an ad-supported version of a cloud-based productivity suite?"
c. "We have MSN. Why should someone else sit between us and our MSN advertisers and collect a toll on our non-premium, non-direct inventory? In fact, if we had an ad network, we could sit between advertisers and other publishers and collect a toll!"
5. Here's the way things played out:
a. The economy crashed a year later.
b. When budgets came back, they went first to the most accountable digital ad spend: search.
c. Microsoft had a new horse in that race: Bing (launched June 2009). Discretionary investment naturally flowed there.
d. Meanwhile, "display" evolved: video display, social display (aka Facebook), mobile display (Dadgurnit! Google bought AdMob, Apple has iAd! Scraps again for the rest of us...). (Good recent eMarketer presentation on trends here.)
e. Whatever's left of "traditional" display: Google / DoubleClick, as the category leader, eats first.
f. Specialized players do continue to grow in "traditional" display, through better targeting technologies (BT) and through facilitating more efficient buys (for example, DataXu, which I wrote about here). But to grow you have to invest and innovate, and at Microsoft, by this point, as noted above, the money was going elsewhere.
g. So, if you're Microsoft, and you're getting left behind, what do you do? Take 'em with you! "Do not track by default" in IE 10 as of June 2012. That's old school medieval, dressed up in hipster specs and a porkpie hat. Steve Ballmer may be struggling strategically, but he's still as brutal as ever.
a. $6 Big Ones is only 2% of MSFT's market cap. aQuantive may have come at a 2x premium, but it was worth the hedge. The rich are different from you and me.
b. The bigger issue though is how does MSFT steal a march on Google, Apple, Facebook? Hmmm. video's hot. Still bandwidth constrained, but that'll get better. And there's interactive video. Folks will eventually spend lots of time there, and ads will follow them. Google's got Hangouts, Facebook's got Facetime, Apple's got iChat... and now MSFT has Skype, for $8B. Hmm.
a. Some of the smartest business guys I worked with at Bain in the late 90's (including Torrence Boone and Jason Trevisan) ended up at aQuantive and helped to build it into the success it was. An interesting alumni diaspora to follow.
b. Some of the smartest folks I worked with at Razorfish in the early 2000's (including Bob Lord) ended up at aQuantive. The best part is that Microsoft may have gotten more value from buying and selling Razorfish (to Publicis) than from buying and writing off the rest of aQuantive. Sweet, that.
c. Why not open-source Atlas?
(See here for Part 1)
Here's one summary of the experience that's making the rounds:
I wasn't able to be there all that long, but my impression was different. Men of all colors (especially if you count tattoos), and lots more women (many tattooed also, and extensively). I had a chance to talk with Doc Searls (I'm a huge Cluetrain fan) briefly at the Digital Harvard reception at The Parish; he suggested (my words) the increased ratio of women is a good barometer for the evolution of the festival from narcissistic nerdiness toward more sensible substance. Nonetheless, on the surface, it does remain a sweaty mosh pit of digital love and frenzied networking. Picture Dumbo on spring break on 6th and San Jacinto. With light sabers:
Sight that will haunt my dreams for a while: VC-looking guy, blazer and dress shirt, in a pedicab piloted by skinny grungy student (?) Dude, learn Linux, and your next tip from The Man at SXSW might just be a term sheet.
So whom did I meet, and what did I learn:
I had a great time listening to PRX.org's John Barth. The Public Radio Exchange aggregates independent content suitable for radio (think The Moth), adds valuable services like consistent content metadata and rights management, and then acts as a distribution hub for stations that want to use it. We talked about how they're planning to analyze listenership patterns with that metadata and other stuff (maybe gleaning audience demographics via Quantcast) for shaping content and targeting listeners. He related for example that stations seem to prefer either 1 hour programs they can use to fill standard-sized holes, or two- to seven- minute segments they can weave into pre-existing programs. Documentary-style shows that weave music and informed commentary together are especially popular. We explored whether production templates ("structured collaboration": think "Mad Libs" for digital media) might make sense. Maybe later.
Paul Payack explained his Global Language Monitor service to me, and we explored its potential application as a complement if not a replacement for episodic brand trackers. Think of it as a more sophisticated and source-ecumenical version of Google Insights for Search.
Kara Oehler's presentation on her Mapping Main Street project was great, and it made me want to try her Zeega.org service (a Harvard metaLAB project) as soon as it's available, to see how close I can get to replicating The Yellow Submarine for my son, with other family members spliced in for The Beatles. Add it to my list of other cool projects I like, such as mrpicassohead.
Finally, congrats to Perry Hewitt (here with Anne Cushing) and all her Harvard colleagues on a great evening!
Hi folks, I need a favor. I need 200 subscribers to this blog via Google Currents to get Octavianworld listed in the Currents catalog. If you're reading this on an iPhone, iPad, or Android device, follow this link:
If you are looking at this on a PC, just snap this QR code with your iPhone or Android phone after getting the Currents app.
Here's what I look like on Currents:
What is Currents? If you've used Flipboard or Zite, this is Google's entry. If you've used an RSS reader, but haven't used any of these yet, you're probably a nerdy holdout (it takes one to know one). If you've used none of these, and have no idea what I'm talking about, apps like these help folks like me (and big media firms too) publish online magazines that make screen-scrollable content page-flippable and still-clickable. Yet another distribution channel to help reach new audiences.
NYT.com had an interactive poll / visualization today taking readers' pulse on the Occupy protests. Browsing through the usual left-right snarks and screeds, and on the heels of a recent stroll through one of the protest sites, it occurred to me that we're missing a chance to think beyond the politics of the movement, to the economic opportunity it represents.
Think of the protest sites as outdoor ad inventory. This inventory is in great locations -- in the hearts of the world's financial districts, with lots of people with very high disposable incomes to see your ads every day, all day, right outside their windows -- the same people that fancy watchmakers pay the WSJ big bucks to reach.
Yet currently, this valuable inventory is currently filled with PSAs...
There's another important benefit. This idea is a job creator. After all, the network needs people to pitch the "publishers" at each location, and sales folks to recruit the advertisers, and staff to traffic the ads, keep the books, etc. Politicians right and left could fold this into their platforms immediately.
Finally, for the entrepreneur who starts it all, there's the chance to Sell Out To The Man -- at a very attractive premium! And, for the protesters who back the venture, and get options working for it, a chance to cash out too, just like the guys they're protesting.
After all, Don't Get Mad, Get Even.
Postscript in Rolling Stone: "How I Learned to Stop Worrying and Love the OWS Protests". Plus some thoughtful suggestions here.