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Mary’s Annual Internet Trends

By - June 02, 2013

Waaay back in the late 1990s, I started a conference called the Internet Summit. My co-producers were Bill Gurley, who remains one of the giants in venture over at Benchmark, and Mary Meeker, who was at that point the best analyst in the Internet space, at Morgan Stanley. The Internet Summit had its last event in July of 2001, and the space was taken over by Kara Swisher and Walt Mossberg, who went on to launch All Things Digital, which has thrived to this day. I went on to launch the Web 2 Summit in 2004, and it was at that event that Mary started presenting her annual Internet Trends deck. I put her in one of my typical “High Order Bit” slots, ten minutes max, and each year Mary would lobby for more time, and cram more and more data and insights into her alloted time (by the last time Mary did it with me, it was 15 minutes and about 90 slides).

I stopped doing Web 2 in 2011 (OpenCo is the new black, natch), and Mary migrated her job to Kleiner Perkins and her presentation to All Things Digital, both great moves. Last week she unveiled her latest work, and I notice it’s gotten up to 117 slides. I missed All Things D due to a client event at P&G, but I bet she got more than 15 minutes to present it!

This deck is always worth the time to review. You can download it on KPCB’s site, and I’ve embedded it below.

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Yahoo! And Tumblr: It’s About Display, Streams & Native at Scale

By - May 19, 2013

The world is atwitter about Tumblr’s big exit to Yahoo!, and from what I can tell it seems this one is going to really happen (ATD is covering it well).   There are plenty of smart and appropriate takes on why this move makes sense (see GigaOm) but I think a lot of it boils down to the trends driving Yahoo’s massive display business.

If there’s one thing we all know, it’s that a new form of native advertising is spreading throughout the Internet. It started with Google and AdWords, it spread to Twitter and its Promoted Tweets, and Facebook quickly followed with Sponsored Stories. At FMP, we have sponsored posts and our Native Conversationalist suite, which we are scaling now across the “rest of the web” – the smaller but super influential independent sites that we believe are major suppliers of  “the oxygen of the Internet” – the content that drives true engagement. Other companies are adopting similar strategies – Buzzfeed is building a content marketing network, and Sharethrough has moved past its “wrap a YouTube ad in a player and call it native” phase and into more truly native units as well.

The reason native works is because the advertising is treated as a unit of content on the platform where it lives. That may seem obvious, but it’s an important observation. When a brands’s content competes on equal footing alongside a publisher’s content, everyone wins. Those search ads – they win if they are contextually relevant and add value to the consumer’s search results. Those promoted tweets only get promoted if people respond to them – a signal of relevance and value.  The same is true for all truly “native” ad products. If the native ad content is good, it will get engagement. The industry is evolving toward rewarding advertising that doesn’t interrupt and is relevant and value additive. That’s a good thing.

Left out of this evolution, until now, has been Yahoo!. When you break it down, Yahoo! is a Very Large Display Advertising business, with a hefty side of search and a bit of this and that on top. And that display advertising business is going through a wrenching shift, as buyers move to more efficient programmatic channels (for a visualization, see my last post). CPMs (cost per thousand, the unit of value for display advertising) are rapidly declining for “standard display” units – the boxes and rectangles that built Yahoo! and much of the rest of the web.

It will take a couple of years for those ads to A/evolve into new forms that are standardized and B/be driven by data and real-time programmatic rules in ways that brands can really trust (it’s already working for direct response, but that’s not the end game). Display will always be around, but as I said, it’s in a significant evolutionary phase, and the short to mid term reality is this: CPMs are dropping, and Yahoo! has a massive display business.

At the same time, we’re all shifting our attention to mobile devices, and we’ve adopted the “stream” as our preferred method of content discovery and consumption. That stream doesn’t work so well with standard display. But it’s great for native units.

Yahoo! is already shifting its home page and other content sections to a stream like interface. Tumblr offers only native ad units (founder David Karp lifted his strategy pretty much wholesale from Twitter’s “the ad is the tweet” philosophy). And Tumblr was built from the ground up as an activity stream.

I’ll write another time about how I believe that display and native will eventually merge – via the programmatic exchange. For now, Yahoo’s move gives it an asset that its branded display sales force can sell as sexy: native, content-driven advertising at scale. A good move.

Behind the Banner, A Visualization of the Adtech Ecosystem

By - May 13, 2013

I’m very proud to announce “Behind the Banner“, a visualization I’ve been producing with Jer Thorp and his team from The Office for Creative Research, underwritten by Adobe as part of the upcoming CM Summit next week. You can read more about it in this release, but the real story of this project starts with my own quest to understand the world of programmatic trading of advertising inventory – a world that at times feels rather like a hot mess, and at other times, like the future of not only all media, but all data-driven experiences we’ll have as a society, period.

I’m a fan of Terry Kawaja and his Lumascapes – Terry was an advisory to us as we iterated this project. But I’ve always been a bit mystified by those diagrams – you have to be pretty well steeped in the world of adtech to grok how all those companies work together. My goal with Behind the Banner was to demystify the 200 or so milliseconds driving each ad impression – to break down the steps, identify the players, make it a living thing. I think this first crack goes a long way toward doing that – like every producer, I’m not entirely satisfied with it, but damn, it’s the best thing I’ve seen out there so far.

I am deeply grateful to all the folks who helped us make this happen, in particular Jared Cook at Adobe, and a legion of leaders in the industry who reviewed early versions, including Walter Knapp, Bill Demas, Ned Brody, Brian O’Kelley, Ann Lewnes, and dozens more who helped me research and imagine what this might end up looking like.

So take a look and tell me what you think. It’s far too complex to embed here, so we have it running over on the CM Summit site. If nothing else, it should get folks talking, and I hope you’ll help us make it better by leaving a comment here, or sending me mail with your thoughts.

Oh, and while you are at the site, check out the conference lineup. We are almost sold out of tickets, and it’s going to be one heckuva conversation, so please join us!

On Google Glass and OpenCo NYC

By - May 09, 2013

In case you have any interest, here’s a short clip of me opining on Google Glass and the upcoming OpenCoNYC, which is going to be HOT. More on that soon.

We’ve Seen This Movie Before…On Traffic of Good Intent

By - April 26, 2013

(image) Back in 2005 I whipped off a post with a title that has recently become relevant again – “Traffic of Good Intent.” That post keyed off  a major issue in the burgeoning search industry – click fraud. In the early days of search, click fraud was a huge problem (that link is from 2002!). Pundits (like me) claimed that because everyone was getting paid from fraud, it was “something of a whistling-past-the-graveyard issue for the entire (industry).” Cnet ran a story in 2004 identifying bad actors who created fake content, then ran robots over AdSense links on those pages. It blamed the open nature of the Web as fueling the fraudsters, and it noted that Google could not comment, because  it was in its quiet period before an IPO.

But once public, Google did respond, suing bad actors and posting extensive explanations of its anti-fraud practices. Conversely, a major fraud-based class action lawsuit was filed against all of the major search engines. Subsequent research suggested that as much as 30% of commercial clicks were fraudulent  - remember, this was after Google had gone public, and after the issue had been well-documented and endlessly discussed in the business and industry press. The major players in search finally banded together to fight the problem – understanding full well that without a united front and open communication, trust would never be established.

Think about that little history lesson – a massive, emerging new industry, one that was upending the entire marketing ecosystem, was operating under a constant cloud of “fraud” which may have been poisoning nearly a third of the revenues in the space. Yet billions in revenue and hundreds of billions in market value was still created. And after several years of lawsuits, negative press, and lord-knows-how-much-fraud, the clickfraud story has pretty much been forgotten.

Sound familiar?

It should. Because the same movie is once again playing, but this time the problem has migrated to the open ecosystem of programmatic display. As anyone who’s studied the LUMAscape knows, we now have a VC-fueled industry worth billions, with many players primed to go public in the coming year or so. And the original search players – Google in particular, but also Microsoft and Yahoo! – are also major actors in this new industry.

My post from January of this year - It’s Time To Call Out Fraud In The Adtech Ecosystem - summarized the new breed of fraud in our industry, and recently, many publications  have intensified their coverage of the topic. In late February, I invited a handful of adtech CEOs to a lunch where we discussed the issue, and everyone at the table – from AppNexus to Google, OpenX to MediaOcean – agreed that it was time to address the problem head on.

And that’s how we got to the news  this past week that the IAB is standing up a task force on “Traffic of Good Intent.” I’m proud to be a co-chair of the group (and yes, the name does come from that 2005 post in these pages). This time around, there are many more players, a much larger industry, and a far more complicated ecosystem. But it’s worth remembering that bad actors always take advantage of open systems. It’s up to us to unite and drive them back. We should all be trading in traffic of good intent – real human beings, engaged with real content and services across the Internet. Our customers, partners, investors, and our good company names depend on it.

I look forward to the work.

Who Owns The Right to Filter Your Feed?

By - March 09, 2013

The old Tweetdeck interface.

(image) Last week I was in Salt Lake City for the Adobe Summit, on a stage the size of a parking lot. After some opening remarks about how the world is increasingly lit with data, I brought out Adam Bain, President of Global Revenue for Twitter. (He Vined it, natch.) Five thousand or so folks in the Internet marketing and media business were in attendance, behind us was a 7,000 square foot HD screen (I kid you not). I’ve been in front of a few big crowds, but this one was enormous. You could have parked a few 787s in the space.

My point is this: Bain knew he was in front of a lot of people, including nearly 200 journalists. As we worked our way through any number of predictable but important topics – Twitter’s revenue (growing but no numbers), the acquisition of BlueFin (TV analytics and more), etc. – I asked Bain to distinguish between Twitter and its competitive set. This was a relatively politic way of asking the inevitable “What about Facebook” question. It was then that Bain uttered what I thought was the most interesting comment of the day: “[With Twitter,] there’s no algorithm between you and your feed.”

Oh snap!

Facebook’s “Edge” rank has once again been in the news, as one writer or journalist after another discovers what most of us already knew: Facebook filters what you see in the Newsfeed, and the algorithm that determines that filter is a black box (one that you can influence with money, of course).

On Twitter, there’s no filter between you and your feed. If, like me, you follow 1,200 or more people, your feed is a hopeless firehose, and that’s just the way it is, Bub.

My Twitter feed is a blur to me, I dip in and out, but I never consistently gain value from it. I know there’s so much more I could be learning from it, but so far, no dice. (Four or so years ago I even asked our tech team at FMP to build a Twitter parser, we used it for a while…that’s another story…)

I’ve always been on the lookout for tools to surface the best stuff shared on the service – and I’m still looking. Summary services like Percolate are too high level (only five or so stories), and curation through tools like Tweetdeck work to a point, but require too much input and are not dynamic enough. I recently tweeted out a request for new filtering tools, and got back this list:

- Twitter’s daily email digest (which I’m not getting for some reason, so I’ll turn that on)

- Tweetdeck (which I have used a lot, but stopped using when Twitter bought it, more on that below)

- Cronycle (still in private beta)

- The Tweeted Times

- ManageFlitter

- Prismatic

- And of course Flipboard.

From a quick look at these services (some of which I’ve tried), I don’t think any of them do quite what I want them to. And that’s kind of my point. It’s great that Twitter doesn’t filter my feed, but it’s a bummer that third parties haven’t been able to solve for my problem. And of course, there’s a reason for this. Developers have left the consumer space mostly alone – Twitter has made it very clear that they don’t want anyone creating new interfaces for the consumption of your feed, and filtering services – in particular ones like Flipboard – come dangerously close to that line. 

The enterprise, on the other hand, has benefitted from the unfiltered feed – that’s where Percolate is focused, as well as Salesforce, Adobe, and many others.  Gnip has a good business selling access to Twitter’s firehose, but overall, as one might expect, the use case is more aggregate and less individual in nature.
That’s a dilemma. One the one hand there’s Facebook, which has “placed an algorithm in between” us and our feed. Facebook is controlling our experience on our behalf – and it’s questionable whether that really scales. Then there’s the noisy mess of Twitter, where I could imagine any number of super-wonderful third-party apps, yet so far Twitter has kept that ecosystem at bay. 

It’s clear that Twitter will soon offer more controls to its users – giving us various ways to filter our feed. The company recently dropped support for its recently acquired Tweetdeck apps – clearly it plans on folding that kind of functionality into its core services. Once it does, I hope the company will relax a bit and give developers the go ahead to create real value on top of an individual’s raw feed. No one company can boil the ocean, but together an ecosystem can certainly simmer the sea.

 

The iWatch: What I Hope Apple Actually Does (But Probably Won’t)

By - February 21, 2013

(image AppleInsider) Back in April of last year, I pondered Pebble, the then-wildly successful darling of Kickstarter fame. Pebble is a wristwatch device that connects to iPhones and displays various smart things. In the piece, Does the Pebble Cause a Ripple In Apple’s Waters?, I asked whether Apple would allow such third-party hardware to play in their backyard. It struck me Apple’s entire business was about hardware. Pebble, I figured, was in for a tough road. No wonder it went to Kickstarter, I mused. VCs would never back something so clearly in Apple’s target zone. From the post:

If you watch the video explaining Pebble, it become pretty clear that the watch is, in essence, a new form factor for the iPhone. It’s smaller, it’s more use-case defined, but that’s what it is: A smaller mirror of your iPhone, strapped to you wrist. Pebble uses bluetooth connectivity to access the iPhone’s native capabilities, and then displays data, apps, and services on its high-resolution e-paper screen. It even has its own “app store” and (upcoming) SDK/API so people can write native apps to the device.

In short, Pebble is an iPhone for your wrist. And Apple doesn’t own it.

If we’ve learned anything about Apple over the years, it’s that Apple is driven by its hardware business. It makes its profits by selling hardware – and it’s built a beautiful closed software ecosystem to insure those hardware sales. Pebble forces an interesting question: Does Apple care about new form factors for hardware? Or is it content to build out just the “core” hardware platform, and allow anyone to innovate in new hardware instances? Would Apple be cool with someone building, say, a larger form factor of the iPhone, perhaps tablet-sized, driven by your iPhone?

Fast forward to now. The month’s Apple rumors have all been about the “iWatch” – the company’s next big innovation.  Apparently reliable sources – most likely now muted thanks to Apple’s exceptional PR machine – have said that 100 people are working on the device inside Apple’s HQ. And this week came news that Apple has even filed for a patent around the concept. 

If I’m Pebble, I’m not sleeping well at night.

I have no idea if Apple will actually create such a device – though I’m certain it must be testing one.

However, if Apple really wants the device to take off, the company should incorporate more than just iPhone connectivity. Here’s my wish list:

- Open platform for connectivity. Any device can connect to the device, not just iOS. I know this is wishful thinking, but…for example, Google has opted for glasses as its next big thing in wearable computing. I certainly would like the two to work together. (And how cool would it be if it worked with Android? OK, sorry. Just had to ask.)

- Sensors and software that make the device the equivalent of the Fitbit or the Jawbone Up.

- Integration with those apps, so that users don’t lose their data if they want to move to Apple’s hardware platform.

- As with Pebble, an open app ecosystem for the device, not one locked down into iOS. (I know…)

- A warranty on breakage. It’s one thing to ignore the criminal cracking that happens with nearly every iPhone in existence, because you can blame the consumer for dropping the damn thing. But if this thing is on somebody’s wrist, it’s going to get smacked around. And if Apple takes the same approach to breakage as it has for the iPhone, the device will be a failure.

That’s my major wish list. What would you want from the device?

Portrait of Twitter As A Young Media Company

By - January 21, 2013

Last year I predicted that Twitter would become a media company. However, I focused mainly on the new “Discover” functionality, and I probably should have gone a lot further. In this piece, I intend to.

So I’ll start with this: 2013 will be the year Twitter starts to create, curate, and co-create media experiences on top of its platform. I hinted at this in my brief coverage of Twitter’s Oscar Index (see Twitter’s Makin’ Media), but allow me to put a bit more flesh on the bones.

So what might one make from the fact that your platform captures hundreds of millions of individuals declaring what’s going on at any give time? Well, let’s break down some of the signals in all that supposed noise. As I’ve written over and over and over in the past several years, Twitter presents a massive search problem/opportunity. For example, Twitter’s gotten better and better at what’s called “entity extraction” – identifying a person, place, or thing, then associating behaviors and attributes around that thing. This (among other reasons) is why its Discover feature keeps getting better and better. Another important signal is location – Twitter is increasingly focused on getting us to geolocate our tweets. A third signal is the actual person tweeting – his or her influence and interest graph. Yet another signal is time – when was the entity tweeted about?

Real time entity extraction crossed with signals like those described above is the Holy Grail – and I’m guessing Twitter is almost, if not already there.

Once you get good at all these things (and more), a number of really interesting possibilities open up. Identifying “big things” that are going on at any given time is something that Twitter already does – though not particularly well (the best window in is the “Trends” box on the left of the page). Regardless, Twitter has become a go-to service for quick updates about news events (Sandy, Newtown, etc), entertainment events (SuperBowl, Oscars, Grammys, etc), and well….pretty much any kind of event.

But so far, it’s not exactly easy to get the big picture of what’s really going on for any given event on Twitter. In fact, it’s rather difficult. You can search for a hashtag, or keywords you think are associated with an event, but no matter what, it’s extremely difficult to makes sense of it all. For a big event like Sandy Hook or the Oscars, there are literally millions of tweets to sift through. And those tweets have millions of pictures, links, and videos. How can you know what’s important?

This is exactly the problem that  media experiences are designed to solve. By combining intelligent algorithms (these tweets are retweeted more than others, this video is linked to more than all the others, etc) and some smart editors, Twitter can (and most likely will) surface instant windows into events as they unfold around the globe. I imagine logging into Twitter at some point in the future and seeing a dashboard not of Trends, but of “Happenings” – Events edited to my interest graph, location, and the like. When I click on on of those events, I enter a meticulously edited media experience – a pulsing, ever changing feast of information tailored around that event.

So, put in one sentance: Twitter’s going to do events soon.

What other media experiences might Twitter create? Well, extending the logic, it only makes sense that Twitter will curate media services, just as LinkedIn and now Facebook are starting to do (I argue that Graph Search is a media play here).

“Just Landed” – from 2009.

As Google has proven, words have a lot of power on the web. They have even more power when put in context at scale. Consider what happened when a data artist asked a simple question: Where are people when then tweet that they “just landed”?

Now, imagine Twitter stands up a service that allows you to see patterns around phrases like “looking for someone to…,” or “just got a job,” or “python developer,” etc. Yep, lurking inside all that Twitter data is a pretty powerful job service. And I’m only using jobs as a straw man (and because it’s a driving force of LinkedIn’s success, of course). When you have humanity whispering into your ear at scale, you can tune in any number of valuable signals. Getting a job is one important signal. But so is getting married, buying a house or a car, graduating, and, and and….well you get the picture. Standing up “media services” around these life milestones is what media companies do. They used to be called magazines. What might Twitter call them? In 2013, we’ll most likely find out.

So far I’ve proposed two new media features of Twitter: Events and Media Services. I’ll round out this post with a prediction around a third: Video. Video is a vastly under-leveraged asset on Twitter, but people are sharing millions of links to video clips every day on the service. I imagine that Twitter will soon offer some kind of video curation feature – giving its base the ability to find the most popular videos based on pivot points of time, interest, and people. Surfacing and creating more video on the Twitter service has got to be a major priority at the company. And let’s not forget that Twitter bought Vine, after all…

After all, everybody loves video. In particular, advertisers love video. After all, Twitter is already working with Neilsen to become the official barometer of television conversations.

Which brings me to the “stick the landing” portion of this particular round up. Twitter is going to make much more media this year, because Twitter is going to make much more money this year. Each of the features I described above – Events, Media Services, and Video – bring with them inherent business models. I don’t expect they’ll look like traditional display models, of course, but I would not be surprised if they strayed a bit from Twitter’s current Promoted Suite products. With new media products come new advertising products. And new revenue.

Time will tell if I got this one right. Meanwhile, what do you think?

Facebook Is No Longer Flat: On Graph Search

By - January 15, 2013

A sample Graph Search result for the query “friends photos before 1999.”

By now the news is sweeping across the blogosophere and into the mainstream press: Facebook is doing Search!

Well, not so fast. Facebook is not doing search, at least not search Google-style. However, the world’s largest social network has radically re-engineered its native search experience, and the result is not only much, much better, it’s also changed my mind about the company’s long term future.

Yesterday, Tom Stocky, Facebook Product Management Director, and Lars Rasmussen, Engineering Director, gave me a sneak peek of today’s much anticipated announcement (it’s gonna be a phone! A new Newsfeed! A big acquisition!). So as to not bury the lead, Facebook has built what it’s calling “Graph Search,” a solidly conceived structured-search service which leverages the company’s massive trove of personal data in any number of new ways (some obvious, some nuanced, and some glaring omissions). But before I get to the details, I want to write about why this matters so much.

Prior to seeing the new search, I was not certain Facebook would ever live up to the hype it has accrued over its short life. It’s a good service, but it’s flat – over time, it struck me, people would tire of tending to it. They set up their social graph, toss a few sheep, poke some pals (or not), “like” this or that (often off-domain), waste hours on Farmville, and then…engagement drops slowly over time. I’m also not a fan of Facebook’s domain-specific approach to the world, as many of you know. Facebook’s new search doesn’t address Facebook’s walled garden mentality (yet), but it nails the first issue. Once this search product is rolled out to all of its members, Facebook will no longer be flat.

This is a big deal on many fronts. First and foremost, Facebook has an engagement problem, particularly in markets (like the US) where its use has become ubiquitous and many of its original users are two, three or more years into the “Facebook habit.” While the company doesn’t talk about this issue, I am confident it’s real (in private conversations with people at Facebook, it’s called the “set it up and forget it” problem). If people do not constantly feed Facebook with engagement, its value attenuates over time. As the service slows in overall growth, engagement with its current base becomes critical. New connections are the lifeblood of a service like Facebook. Without a steady stream of meaningful Likes, Friend Requests, declared Interests, and such, the platform would wither.

Put another way, Facebook needed a service that layered a fresh blanket of value over its core topography. Graph Search is it.

Zuckerberg’s Engagement

One sign of how important this new search is? According to the folks I spoke to yesterday, Facebook’s mercurial founder and CEO Mark Zuckerberg calls Search the “third pillar” of the company’s service, elevating it to the level of Newsfeed and Timeline, the two most important new features since Facebook’s launch (Open Graph is probably up there as well, but it’s true value remains locked up until there is mortar connecting it all, which Search could well be).

A team of engineers and product folk have been working on Graph Search for more than a year, and Zuckerberg has been engaged with them the entire time. The team has been in “lockdown” – a exclusive state of focus on one product so as to ship it as quickly as possible – for the past 34 days. Lockdown is a time honored and rather prestigious occurence inside Facebook, dating back to Zuckerberg’s original Facemash dorm room programming outburst. During the Search team lockdown, Stocky told me, he and Rasmussen got plenty of 2 AM emails and unexpected late night visits from the CEO.

In other words, this is A Really Big Deal for the company.

Why? Well, a quick tour of the product will explain.

What Is It? 

Graph Search subsumes Facebook’s previous search offering, which was extremely weak and focused mainly on the use case of navigation (finding people and pages).  The new service takes full advantage of the face that Facebook is, at its core, a massive structured database of tagged entities. The initial beta “indexes” four main types of these entities: People, Photos, Places, and Interests. Over time, I am told, Facebook will expand its index to include all Facebook posts and even the Open Graph – which means the “rest of the web.”

But for now, users can search across four main categories, using a slick set of intuitive verbs (“lives,” “like,” “work,” etc.), nouns (“San Francisco,” “Indian,” “restaurants,” “friends” etc.), prepositions (“before,” “with,” “in”) and pronouns (“who,” that,” etc.). This makes for a richly structured set of results: “Friends of friends who live in San Francisco and like Indian restaurants,” for example. Or “Friends who have been to Ireland,” or “Photos of friends before 1990.” Once you get the hang of it, the possible pivot points are endless, and the results are quite intriguing.

Stocky and Rasmussen, both ex-Googlers, walked me through a few intriguing use cases, one of which harkens back to one of Facebook’s original use cases – dating – and another which looks forward and presents a threat to LinkedIn’s current strength: Recruiting.

Let’s say you’re single, and you’re interested only in dating engineers who are also friends of your friends. With Graph Search, it’s ridiculously easy to find “friends of friends” who are also engineers. (And single, of course). You can look at their pictures, profiles, interests, and then ask for an introduction from whichever of your pals happens to be connected to one who looks like a good prospect (you could also just “poke” the guy if you wanted to…). Want only C++ programmers, or Indian C++ programmers, or  Indian C++ programmers under 35 years of age? Done.

Or, let’s say you work at, I dunno, Google. And you want to recruit product management talent from, say, Facebook. Again, the best way to get to that talent is probably a friend. So why not do a search for “friends of friends who work at Facebook and are product managers”? Why not, indeed.

One can imagine such functionality will create a lot of new engagement on the service. And not just from people “friending” prospective beaus or hires. Recall that when Google burst onto the scene, it prompted a dramatic response from owners of web pages, who immediately began rewiring their sites to be optimized for search. Similarly, Facebook’s Graph Search will incent Facebook users to “dress” themselves in better meta-data, so as to be properly represented in all those new structured results. People will start to update their profiles with more dates, photo tags, relationship statuses, and, and, and…you get the picture. No one wants to be left out of a consideration set, after all.

Facebook Gets More Weather

Last year I wrote a post titled “Facebook Is Now Making Its Own Weather.” The focus was on Facebook’s Newsfeed, and how an economy of value was now in place to game Facebook’s “edgerank” algorithm, which determines what stories show up in a person’s feed. With Graph Search, I expect a similar ecosystem will emerge. All of a sudden, two things will be true that previously were not: Facebook users will be using search, a lot, creating liquidity in Facebook “SERPS.” And secondly, there will be significant perceived value in being included in those search results, both for individuals (I want to be considered for that job at Google!) and for companies/brands (I want to message to anyone looking for a job!).

While Graph Search is in very early beta, I don’t think I’m going out on a limb by predicting that it won’t be long before Facebook integrates a product that lets marketers purchase ads in these new search results. It already has a similar product, which is by default included in suggested searches (the “auto completed” queries suggested to a user as they enter terms). At the moment, however, paid listings are not included in search results. They will be. Which means, of course, the rise of a native SEO/SEM ecosystem inside Facebook. Add in Open Graph search across the web, and presto…Google’s got some serious potential competition. (Well, not exactly presto. Incorporating Open Graph is going to take some serious chops and time. But still…).

Even without incorporation of Open Graph or Posts, Graph Search is going to change the game for brands and people on the Facebook service. As I watched Stocky and Rasmussen put their product through its paces, I couldn’t help but wonder how much new traffic the product will drive around the Facebook Platform. Will Facebook be watching “conversions” – clickthroughs from search results to profiles and pages? Of course they will! Will Facebook report those referrals to individuals and brands, much as Google Analytics does for webpage today? Not yet…but wait for it. It’ll come….

 What’s Missing: Sharing Results

I’ve already noted that Graph Search does not index content (posts) or the Open Graph, though I’m told that’s coming. But the big miss, from my point of view, is the inability to share search results.

Share search results? Who’d want to do that? Well, in web search, very few of us. That’s because with rare exception, open web search is not an inherently social action – it’s private and it’s ephemeral. But inside the walls of Facebook, it’s definitionally so. In fact, I’d argue that every single “result page” in Graph Search is a “media object” in its own right. If you search for “pictures of friends before 1990,” for example, you get the equivalent of a Pinterest board of your friends’ childhood shots. Wouldn’t you like to post that on your timeline so your pals can see it? Better yet, wouldn’t you like to export it to Pinterest or Tumblr? Of course you would (but, alas, I don’t expect Facebook will allow it, under cover of “protecting user privacy.” More on that in a second.)

Or take another example. Say you have a pal in Southern California who is despondent after being dumped by her boyfriend. You do a quick Graph Search for “single friends of friends under 30 who work in Los Angeles.” The results look pretty promising. Don’t you want to shoot them over to your pal with the subject line “Don’t despair, there are plenty of fish in the sea!” Of  course you do.

I mean, just a query like “Photos I Like” is a huge feature win for Facebook. And who wouldn’t want to post a montage of “Photos I Like” to their timeline? (Or, ahem, their personal blog?!)

For now, you can’t share the results of your searches with anyone else, and that’s a bug that should be a feature. When I brought up the issue, I was told that the privacy implications of sharing searches were extremely complicated. Because of past missteps and current scrutiny, Facebook is going to tread cautiously here (privacy was a central theme in Graph Search’s launch). I certainly understand why, but while those issues are sorted, I expect there are going to be a lot of screen shots of Graph search results being shared around the web.

Bigger privacy issues will likely arise around what might be called the Randi Zuckerberg principle – as in “Oh shit, I didn’t realize I’d show up in that circumstance!” Graph Search is going to expose all manner of privacy controls as super important, and send millions back to Facebook’s sometimes-confusing dashboards, so as to appropriately re-tool settings such that nothing untwoard shows up in this important new functionality.

And to me, this is a Very Good Thing. A couple of years ago, I wrote a post titled  The Rise of Digital Plumage in which I predicted that we’d all become habituated to “dressing” ourselves in structured data, so as to best present ourselves to the world at any given time. Graph Search is another important tool in our ever-growing digital wardrobe, one that motivates us to understand and manage the implications of our ever-expanding digital footprint.

Facebook just posted an announcement about its new search here.  The initial beta will roll out slowly, folks will have to ask to join a waitlist to get the service. I’ll be updating this post as the news is discussed and digested….

Phones! Now With Multitasking! Why Mobile Is About To Have Its Web Revolution.

By - January 13, 2013


While at CES last week, I had the pleasure of moderating a panel with four extraordinary publishers – all FM authors. The topic was “2013 Trends” and I got to hear Anand Shimpi (of AnandTech), Brad McCarthy (of The Next Web), Elaine Fiolet (of UberGizmo) and Leander Kahney (from the Cult of Mac) expound on what they’d seen in Vegas.

It was a great conversation (and yes, I wish we got it on video, but alas, we did not, it was a private event for FM clients) – but one thing that Anand said really struck me. Mobile devices, he pointed out, were a few cycles behind their PC counterparts in computing power, but were rapidly catching up. A couple more generations from now, many of the “compute constrained” services that so far have been absent from mobile will start to emerge.

And that gives me hope in so many ways.

If you read me closely (and have a decent memory, which I do not), you will recall that I am no fan of the early mobile ecosystem. “AppLand,” as I’ve pejoratively called it, does not act like the web. You can’t easily link those little chiclets called apps together, you can’t share data between them, you can’t, as a consumer, enjoy the serendipity and wonder of what the open web brought the world in its first few iterations.

But I think that will change. As devices increase in power and capability, entrepreneurs and developers will push to where value lays unearthed, and they’ll most likely follow a well worn path.

One example? Multitasking.

I’ve been in this business a long time, long enough to remember when the idea of having more than one application running at the same time on a PC was a Very Big Deal. Apple finally rolled out that capability with its System 7 in 1991. Yes, you read that right – 1991! That was when you could run applications in separate windows on a Macintosh, making it easy to cut and paste between, say, Microsoft Excel and Word, or Adobe Illustrator and the Quark publishing package.

Given it was more than 20 years ago that you could, as a consumer, easily cut and paste between applications on a PC, it’s pretty funny to see how Samsung is currently marketing its Galaxy Note II “phablet” (or “Flablet”, as Leander called it on the panel). The heart of the commercial is this: You can run TWO apps AT THE SAME TIME! WOW! And you can cut and paste between them!

All I can say is this: If it’s 1991 in mobile land, that means just one thing: 1993 is right around the corner. The World Wide Web is about to hit mobile apps. It’s about time.