Category: Media/Tech Business Models

An Embarrassment of Pitches

Man, sometimes you have to venture out onto the real web to realize how far much of the “professional sites” have to travel before they have a viable model.

Case in point: The San Jose Mercury News. Today the paper (yeah, I’m calling it that) published an interesting-sounding piece entitled Silicon Valley job growth has reached dot-com boom levels, report says.  It was widely retweeted and otherwise socially circulated. It’s been a while since the Merc has mattered in my world, and I was pleasantly suprised to see the story pop up in my feeds. So I clicked through to the Actual Web Site to Actually Read The Story.

LordInHeaven I wish I hadn’t. Look at what I saw:

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It’s Time To Call Out Fraud In The Adtech Ecosystem

A confusing landscape = ripe opportunities for fraud.

As part of research I’m doing both for the book and for my upcoming conference (the CM Summit, more on that soon), I’ve been in pretty extensive conversations lately with dozens of key players in the advertising technology industry. I find the ecosystem that has developed  to be fascinating, complex, and ripe with opportunity (and deeply important to the future of our society, not just marketing). I’ll be writing about it quite a bit in coming months. But before I do, I wanted to call out a growing issue that our industry will have to tackle sooner rather than later.

Just as in the early, wild west days of search (1999-2004), the programmatic advertising business – a multi-billion dollar marketplace growing faster than search, video, or anything else for that matter – is riddled with fraud.

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The 140 Character Video Is Six Seconds Long

Twitter announced its integration of Vine today, and to put not too fine a point on it, the service is, in essence, a way to create a video tweet. If a text tweet = 140 characters, then a video tweet = 6 seconds. More details over at TNW, but this announcement is quite consistent with my post earlier this week: Portrait of Twitter As A Young Media Company.

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Portrait of Twitter As A Young Media Company

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?

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Predictions 2013

Mssr. Nostradamus

One week into the new year, it’s again time for me take a crack at predicting what might come of this next spin around the sun, at least as it relates to the Internet ecosystem. Last year’s predictions came out pretty well, all things considered, but I took an unusual tack – I wrote long posts on each of the first six, and then shot from the hip for the last one. Those last shots were pretty hit or miss, as you might expect.

This year I’m going to try something new. Instead of trying to get everything right – which often means being practical and reining in some of my more obvious biases – I’m going to make predictions based on what I wish would happen. In other words, below are things that I hope occur this year, even if the chances of them happening may be arguably slim. In the past I’ve edited out a fair amount of this impulse, as I was aiming game the odds in my favor. But for whatever reason – perhaps because this post marks my 10th year of predictions – I feel like airing it out and seeing what happens. So here goes.

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Predictions From Last Year: How I Did (2012 Edition)

Every year around this time I do two things: First I look back at my predictions from a year ago and grade myself, then I get around to making a new set of predictions. These are often my most popular posts of the year, proving the old magazine saw that the world loves a list. So who am I to buck the trend? Let’s get cracking on seeing how my crystal ball turned out, shall we?

As you can see from my 2012 predictions roundup, I took something of a new approach to the prognostication game last year. Instead of one lengthy post with all my predictions, I actually broke them into a series of posts, seven in all. I went into detail on why I thought each forecast would prove correct (save the last one, which was a series of “shoot from the hip” predictions.)

I’ll be as brief as I can with this review – this marks the ninth time I’ve done it. Overall, I’ve had a pretty good run of it. I hope 2013 keeps pace.

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Retargeting Is Just Phase One

Toward the end of the year, annual predictions come out (I’ve been guilty of this for nearly ten years now). I was perusing these from Triggit founder Zach Coelius, and his ninth one hit me right between the eyes:

Retargeting will be taken out of the tactic box marketers have been myopically placing it into, and instead they will recognize that retargeting is simply the first step to a sophisticated data driven marketing strategy.

Retargeting, or the practice of showing you ads from sites you’ve recently visited, is all over the web these days, and many folks revile the practice. But as Zach points out, retargeting isn’t the end game, it’s just the beginning.

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For Microsoft, The Worm Turns Through Apple

(image) Wow. That’s about the sum of my initial reaction to this story from ATD: Exclusive: Microsoft Pressing Apple to Take a Smaller Cut on Sales Inside Office for iOS.

The wow isn’t that Microsoft is trying to reduce the 30% cut Apple takes on every dollar that flows through the iOS ecosystem. That’s to be expected, though I very much doubt it will happen.

The wow, to me, is how massively the world of software has changed, in particular as it relates to Apple and Microsoft.

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Facebook Is Now Making Its Own Weather

(image) The past month or so has seen the rise and fall of an interesting Internet tempest – the kind of story that gets widely picked up, then quickly amplified into storms of anger, then eventually dies down as the folks who care enough to dig into the facts figure out that the truth is somewhere outside the lines of the original headline-grabbing story.

The topic this time around centers on Facebook’s native ad unit called “Sponsored Stories,” and allegations that the company is gaming its “Edgerank” algorithm such that folks once accustomed to free promotion of their work on Facebook must now pay for that distribution.

Edgerank determines the posts you see in your Facebook newsfeed, and many sites noticed that sometime early this Fall, their traffic from Facebook shrank dramatically. Others claimed traffic had been declining since the Spring, but it wasn’t until this Fall that the story gained significant traction.

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On Native and Programmatic

Earlier this week I was asked an interesting question by Digiday. “What’s More Important: Native Ads or Programmatic Buying?” I thought the question was a bit conflated – it’s not either or. It very much depends on how you define the terms.

My response is below. Check the story for the opinions of many others in the industry as well.

If I had to wager a guess, I’d have to say that programmatic will be a larger force, but only if you take “native” to mean the native units at domain-specific platforms like Facebook, Twitter, Tumblr and the like. But it’s very important to define your terms here because in five years time, I think you will be able to buy all of these “native” units across a unified “programmatic” platform — and that platform has not yet been built. We are, as an industry, heading in that direction, and it’s a very exciting one. When programmatic merges with native and is fueled by data and a transparent, objective framework, everyone wins.

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