Category Archives: The New Marketplace

The Bermuda Triangle of Advertising

In the past few weeks, via the comments I’ve received on my two (1,2) columns looking at the possible future of media selection and targeting, it’s become apparent to me that we’re at a crisis point when it comes to advertising. I’ve been fortunate enough to have some of the brightest minds and sharpest commentators in the industry contributing their thoughts on the topic. In the middle of all these comments lies a massive gap. This gap can be triangulated by looking at three comments in particular:

Esther Dyson: “Ultimately, what the advertisers want is sales…  attention, engagement…all these are merely indicators for attribution and waypoints on the path to sales.”

Doc Searls: “Please do what you do best (and wins the most awards): make ads that clearly sponsor the content they accompany (we can actually appreciate that), and are sufficiently creative to induce positive regard in our hearts and minds.”

Ken Fadner: “I don’t want to live in a world like this one” (speaking of the hyper targeted advertising scenario I described in my last column).

These three comments are all absolutely right (with the possible exception of Searls, which I’ll come back to in a minute) and they draw a path around the gaping hole that is the future of advertising.

So let’s strip this back to the basics to try to find solid ground from which to move forward again.

Advertising depends on a triangular value exchange: We want entertainment and information – which is delivered via various media. These media need funding – which comes from advertising. Advertising wants exposure to the media audience. So, if we boil that down – we put up with advertising in return for access to entertainment and information. This is the balance that is deemed “OK” by Doc Searls and other commenters

The problem is that this is no longer the world we live in – if we ever did. The value exchange requires all three sides to agree that the value is sufficient for us to keep participating. The relatively benign and balanced model of advertising laid out by Searls just doesn’t exist anymore.

The problem is the value exchange triangle is breaking down on two sides – for advertisers and the audience.

As I explained in an earlier Online Spin, value exchanges depend on scarcity and for the audience, there is no longer a scarcity of information and entertainment. Also, there are now new models for information and entertainment delivery that disrupt our assessment of this value exchange. The cognitive context that made us accepting of commercials has been broken. Where once we sat passively and consumed advertising, we now have subscription contexts that are entirely commercial free. That makes the appearance of advertising all the more frustrating. Our brain has been trained to no longer be accepting of ads. The other issue is that ads only appeared in contexts where we were passively engaged. Now, ads appear when we’re actively engaged. That’s an entirely different mental model with different expectations of acceptability.

This traditional value exchange is also breaking down for advertisers. The inefficiencies of the previous model have been exposed and more accountable and effective models have emerged. Dyson’s point was probably the most constant bearing point we can navigate to – companies want sales. They also want more effective advertising. And much as we may hate the clutter and crap that litters the current digital landscape, when it works well it does promise to deliver a higher degree of efficiency.

So, we have the previous three sided value exchange collapsing on two of the sides, bringing the third side – media- down with it.

Look, we can bitch about digital all we want. I share Searls frustration with digital in general and Fadner’s misgivings about creepy and ineffective execution of digital targeting in particular. But this horse has already left the barn. Digital is more than just the flavor of the month. It’s the thin edge of a massive wedge of change in content distribution and consumption. For reasons far too numerous to name, we’ll never return to the benign world of clearly sponsored content and creative ads. First of all, that benign world never worked that well. Secondly, two sides of the value-exchange triangle have gotten a taste of something better- virtually unlimited content delivered without advertising strings attached and a much more effective way to deliver advertising.

Is digital working very well now? Absolutely not. Fadner and Searls are right about that, It’s creepy, poorly targeted, intrusive and annoying. And it’s all these things for the very same reason that Esther Dyson identified – companies want sales and they’ll try anything that promises to deliver it. But we’re at the very beginning of a huge disruptive wave. Stuff isn’t supposed to work very well at this point. That comes with maturity and an inevitable rebalancing. Searls may rail against digital, just like people railed against television, the telephone and horseless carriages. But it’s just too early to tell what a more mature model will look like. Corporate greed will dictate the trying of everything. We will fight back by blocking the hi-jacking of our attention. A sustainable balance will emerge somewhere in between. But we can’t see it yet from our vantage point.

The Rise of the Audience Marketplace

Far be it from me to let a theme go before it has been thoroughly beaten to the ground. This column has hosted a lot of speculation on the future of advertising and media buying and today, I’ll continue in that theme.

First, let’s return to a column I wrote almost a month ago about the future of advertising. This was a spin-off on a column penned by Gary Milner – The End of Advertising as We Know It. In it, Gary made a prediction: “I see the rise of a global media hub, like a stock exchange, which will become responsible for transacting all digital programmatic buys.”

Gary talked about the possible reversal of fragmentation of markets by channel and geographic area due to the potential centralization of digital media purchasing. But I see it a little differently than Gary. I don’t see the creation of a media hub – or, at least – that wouldn’t be the end goal. Media would simply be the means to the end. I do see the creation of an audience market based on available data. Actually, even an audience would only be the means to an end. Ultimately, we’re buying one thing – attention. Then it’s our job to create engagement.

The Advertising Research Foundation has been struggling with measuring engagement for a long time now. But it’s because they were trying to measure engagement on a channel-by-channel basis and that’s just not how the world works anymore. Take search, for example. Search is highly effective at advertising, but it’s not engaging. It’s a connecting medium. It enables engagement, but it doesn’t deliver it.

We talk multi-channel a lot, but we talk about it like the holy grail. The grail in this cause is an audience that is likely to give us their attention and once they do that – is likely to become engaged with our message. The multi-channel path to this audience is really inconsequential. We only talk about multi-channel now because we’re stopping short of the real goal, connecting with that audience. What advertising needs to do is give us accurate indicators of those two likelihoods: how likely are they to give us their attention and what is their potential proclivity towards our offer. The future of advertising is in assembling audiences – no matter what the channel – that are at a point where they are interested in the message we have to deliver.

This is where the digitization of media becomes interesting. It’s not because it’s aggregating into a single potential buying point – it’s because it’s allowing us to parallel a single prospect along a path of persuasion, getting important feedback data along the way. In this definition, audience isn’t a static snapshot in time. It becomes an evolving, iterative entity. We have always looked at advertising on an exposure-by-exposure basis. But if we start thinking about persuading an audience that paradigm needs to be shifted. We have to think about having the right conversation, regardless of the channel that happens to be in use at the time.

Our concept of media happens to carry a lot of baggage. In our minds, media is inextricably linked to channel. So when we think media, we are really thinking channels. And, if we believe Marshall McLuhan, the medium dictates the message. But while media has undergone intense fragmentation they’ve also become much more measurable and – thereby – more accountable. We know more than ever about who lies on the other side of a digital medium thanks to an ever increasing amount of shared data. That data is what will drive the advertising marketplace of the future. It’s not about media – it’s about audience.

In the market I envision, you would specify your audience requirements. The criteria used would not be so much our typical segmentations – demography or geography for example. These have always just been proxies for what we really care about; their beliefs about our product and predicted buying behaviors. I believe that thanks to ever increasing amounts of data we’re going to make great strides in understanding the psychology of consumerism. These  will be foundational in the audience marketplace of the future. Predictive marketing will become more and more accurate and allow for increasingly precise targeting on a number of behavioral criteria.

Individual channels will become as irrelevant as the manufacturer that supplies the shock absorbers and tie rods in your new BMW. They will simply be grist for the mill in the audience marketplace. Mar-tech and ever smarter algorithms will do the channel selection and media buying in the background. All you’ll care about is the audience you’re targeting, the recommended creative (again, based on the mar-tech running in the background) and the resulting behaviors. Once your audience has been targeted and engaged, the predicted path of persuasion is continually updated and new channels are engaged as required. You won’t care what channels they are – you’ll simply monitor the progression of persuasion.

 

NBC’s Grip on Olympic Gold Slipping

When it comes to benchmarking stuff, nothing holds a candle to the quadrennial sports-statzapooloza we call the Summer Olympics. After 3 years, 11 months and 13 days of not giving a crap about sports like team pursuit cycling or half heavyweight judo, we suddenly get into fist fights over 3 one hundredths of a second or an unawarded Yuko.

But it’s not just sports that are thrown into comparative focus by the Olympic games. It also provides a chance to take a snap shot of media consumption trends. The Olympics is probably the biggest show on earth. With the possible exception of the World Cup, it’s the time when the highest number of people on the planet are all watching the same thing at the same time. This makes it advertising nirvana.

Or it should.

Over the past few Olympics, the way we watch various events has been changing because of the nature of the Games themselves. There are 306 separate events in 35 recognized sports that are spread over 16 days of competition. The Olympics play to a global audience, which means that coverage has to span 24 time zones. At any given time, on any given day, there could be 6 or 7 events running simultaneously. In fact, as I’m writing this, diving, volleyball, men’s omnium cycling, Greco-Roman wresting, badminton, field hockey and boxing are all happening at the same time.

This creates a challenge for network TV coverage. The Olympics are hardly a one-size-fits-all spectacle. So, if you’re NBC and you’ve shelled out 1.6 billion dollars to provide coverage, you have a dilemma: how do you assemble the largest possible audience to show all those really expensive ads to? How do you keep all those advertisers happy?

NBC’s answer, it seems, is to repackage the Olympics as a scripted mini-series. It means throttling down real time streaming or live broadcast coverage on some of the big events so these can be assembled into packaged stories during their primetime coverage. NBC’s chief marketing officer, John Miller, was recently quoted as saying, “The people who watch the Olympics are not particularly sports fans. More women watch the games than men, and for the women, they’re less interested in the result and more interested in the journey. It’s sort of like the ultimate reality show and miniseries wrapped into one.”

So, how is this working out for NBC? Not so well, as it turns out.

Ratings are down, with NBC posting the lowest primetime numbers since 1992. The network has come under heavy fire for what is quite possibly the worst Olympic coverage in the history of the games. Let’s ignore for a moment their myopic focus on US contestants and a handful of superstars like Usain Bolt (which may not be irritating unless you’re a international viewer like myself). Their heavy-handed attempt to control and script the fragmented and emergent drama of any Olympic games has stumbled out of the blocks and fallen flat on its face.

I would categorize this as a “RTU/WTF” The first three letters stand for “Research tells us…” I think you can figure out the last three. I’m sure NBC did their research to figure out what they thought the audience really wanted in Olympics game coverage. I’m positive there was a focus group somewhere that told the network what they wanted to hear; “Screw real time results. What we really want is for you to tell us – with swelling music, extreme close ups and completely irrelevant vignettes– the human drama that lies behind the medals…” And, in the collective minds of NBC executives, they quickly added, “…with a zillion commercial breaks and sponsorship messages.”

But it appears that this isn’t what we want. It’s not even close. We want to see the sports we’re interested in, on our device of choice and at the time that best suits us.

This, in a nutshell, is the disruption that is broadsiding the advertising industry at full ramming speed. It was exactly what I was talking about in my last column. NBC may have been able to play their game when they were our only source of information and we were held captive by this scarcity. But over the past 3 Olympic games, starting in Athens in 2004, technology has essentially erased that scarcity. The reality no longer fits NBC’s strategy. Coverage of the Olympics is now a multi-channel affair. What we’re looking for is a way to filter the coverage based on what is most interesting to us, not to be spoon-fed the coverage that NBC feels has the highest revenue potential.

It’s a different world, NBC. If you’re planning to compete in Tokyo, you’d better change your game plan, because you’re still playing like it’s 1996.

 

 

 

Media Buying is Just the Tip of Advertising’s Disruptive Iceberg

Two weeks ago, Gary Milner wrote a lucid prediction of what advertising might become. He rightly stated that advertising has been in a 40-year period of disruption. Bingo. He went on to say that he sees a consolidation of media buying into a centralized hub. Again, I don’t question the clarity of Milner’s crystal ball. It makes sense to me.

What is missing from Milner’s column, however, is the truly disruptive iceberg that is threatening to founder advertising as we know it – the total disruption of the relationship between the advertiser and the marketplace. Milner deals primarily with the media buying aspect of advertising but there’s a much bigger question to tackle. He touched on it in one sentence: “The fact is that a vast majority of advertising is increasingly being ignored.”

Yes! Exactly. But why?

I’ll tell you why. It’s because of a disagreement about what advertising should be. We (the buyers) believe advertising’s sole purpose is to inform. But the sellers believe advertising is there to influence buyers. And increasingly, we’re rejecting that definition.

I know. That’s a tough pill to swallow. But let’s apply a little logic to the premise. Bear with me.

Advertising was built on a premise of scarcity. Market places can’t exist without scarcity. There needs to be an imbalance to make an exchange of value worthwhile. Advertising exists because there once was a scarcity of information. We (the buyers) lacked information about products and services. This was primarily because of the inefficiencies inherent in a physical market. So, in return for the information, we traded something of value – our attention. We allowed ourselves to be influenced. We tolerated advertising because we needed it. It was the primary way we gained information about the marketplace.

In Milner’s column, he talks about Peter Diamandis’ 6 stages that drive the destruction of industries: digitalization, deception, disruption, demonetization, dematerialization, and democratization. Milner applied it to the digitization of media. But these same forces are also being applied to information and rather than driving advertising from disruption to a renaissance period, as Milner predicts, I believe we’ve barely scratched the surface of disruption. The ride will only get bumpier from here on.

The digitization of information enables completely new types of marketplaces. Consider the emergence of the two-sided markets that both AirBNB and Uber exemplify. Thanks to the digitization of information, entirely new markets have emerged that allow the flow of information between buyers and suppliers. Because AirBNB and Uber have built their business models astride these flows, they can get a cut of the action.

But the premise of the model is important to understand. AirBNB and Uber are built on the twin platforms of information and enablement. There is no attempt to persuade by the providers of the platforms – because they know those attempts will erode the value of the market they’re enabling. We are not receptive to persuasion (in the form of advertising) because we have access to information that we believe to be more reliable – user reviews and ratings.

The basic premise of advertising has changed. Information is no longer scarce. In fact, through digitization, we have the opposite problem. We have too much information and too little attention to allocate to it. We now need to filter information and increasingly, the filters we apply are objectivity and reliability. That turns the historical value exchange of advertising on its head. This has allowed participatory information marketplaces such as Uber, AirBNB and Google to flourish. In these markets, where information flows freely, advertising that attempts to influence feels awkward, forced and disingenuous. Rather than building trust, advertising erodes it.

This disruption has also driven another trend with dire consequences for advertising as we know it – the “Maker” revolution and the atomization of industries. There are some industries where any of us could participate as producers and vendors. The hospitality industry is one of these. The needs of a traveller are pretty minimal – a bed, a roof, a bathroom. Most of us could provide these if we were so inclined. We don’t need to be Conrad Hilton. These are industries susceptible to atomization – breaking the market down to the individual unit. And it’s in these industries where disruptive information marketplaces will emerge first. But I can’t build a refrigerator. Or a car (yet). In these industries, scale is still required. And these will be the last strongholds of mass advertising.

Milner talked about the digitization of media and the impact on advertising. But there’s a bigger change afoot – the digitization of information in marketplaces that previously relied on scarcity of information to prop up business models. As information goes from scarcity to abundance, these business models will inevitably fall.

Where Context Comes From

Fellow Spinner Cory Treffiletti told you last week that data without context is noise.

Absolutely right.

I want to continue that conversation, because it’s an important one. It’s all about context. So let’s talk a little more about context. And specifically how we decide what makes up that context.

You might have seen or heard the hubbub that emerged around a tweet from Neil Degrasse Tyson a month ago: “Earth needs a virtual country: #Rationalia, with a one-line Constitution: All policy shall be based on the weight of evidence”

Nice thought, but it ignited a social media shit-storm. Which was entirely predictable. Because we don’t want to be rational. We want to be human. Did 79 episodes of Star Trek teach us nothing?

The biggest beef against #Rationalia was that evidence is typically in the eyes of the beholder. It’s all a matter of context. I’m guessing that the policies that come from evidence in the hands of Republicans will not bear much resemblance to policies that come from the evidence of Democrats. The evidence could be the same but the context is different, because Democrats and Republicans think differently.

Like Treffiletti said – evidence without context is just noise. And our context is only marginally based on evidence. And that’s why #Rationalia – as intellectually attractive as it might be – won’t work.

We as humans understand the world through something called sense making. This is the process we use to build context. In 2006, psychologist Gary Klein shed new light on how we make sense of the world. We start with a frame that captures our current understanding of the situation and depending on the evidence presented to us, we decide whether to elaborate our frame or discard it and create a new frame. So, sensemaking is really an iterative loop that is constantly using our current frame as a reference point.

But here’s the thing. What we consider as evidence depends on the frame we already have in place. It’s the filter that determines what data we pay attention to. And much as Neil Degrasse Tyson would like the governments of the world to be totally unbiased in the filtering of evidence, “that dog just won’t hunt.” It can’t – because we can’t consider data without some context to put it in.

Perhaps someday artificial intelligence will advance to the point where it can pull unbiased context out of random data. Maybe computers will be able to do what we’re unable to – make sense of the noise without assuming a pre-existing frame. But we’re not there yet. And even if we were, we would simply look at the conclusions of the computer and decide whether we agree with them or not. As long as humans are in charge, there will always be a biased filter in place.

So back to Cory’s column. If context is so important, think about where that context is coming from. Who is defining the context and what frame are they operating from? That in turn will define what data you consider and how you consider it.

Perhaps the most important decision before considering data is to be totally clear about what the goal is. Goals, together with experience, form the underpinning of beliefs. Frames are then built on those beliefs. Context comes from those frames. And context is the filter we apply to evidence.

Happiness as a Corporate Metric

Costa Rica is the happiest place on earth. The least happy place on earth? That would be Botswana.

At least, those are the results according to by the things measured by the Happy Planet Index. The index is a measure of three factors, life expectancy, Experienced Well Being and Ecological Footprint. Western nations tend to do very well on the first two measures, but suck at the third. The index is looking for balance – being happy without raping and pillaging the earth. Here in North America, we still have a ways to go in that department.

In another study – the 2015 UN’s World Happiness Report – a different weighting of factors treated the western world a little better. When we tip the balance towards individual happiness and away from the environment and sustainability; Denmark, Switzerland, Iceland, Norway, Finland and Canada topped the rankings. Apparently, snow is good for the soul. At the bottom of the list were Benin, Afghanistan, Togo, Syria and Burundi (it’s hard to believe anywhere scored worse than Syria – mental note: stroke Burundi off my travel bucket list).

Jigme-Singye-Wangchuck

The 4th King of Bhutan: Jigme Singye Wangchuck

In 1971, the 4th Dragon King of Bhutan, Jigme Singye Wangchuck was so enamored with the idea of happiness as a goal that he introduced a new measure of a nation’s worth: Gross National Happiness. He believed that the western world’s obsession with materialism represented by Gross National Product shouldn’t be the sole measure of progress. Things like sustainable development, care for the environment, good governance and preservation of culture deserved to be measured as well. In the 45 years since the idea of Gross National Happiness was first floated by his Royal Dragonship, it’s been slow to take, but perhaps it’s time has come. By the way, in the UN survey, Bhutan was in the middle of the pack for happiness, ranking 84th out of 157 countries.

Happiness should be important with companies as well. There’s even an investment fund that invests exclusively in companies with happy employees. But happiness can be an elusive goal, especially when we try to wrestle it to the ground in the way of a hard performance metric in a corporate environment. What exactly are we measuring when we measure happiness? And who’s happiness are we measuring? Our customers? Our shareholders? Our employees? All of the above?

Let’s single out employees. Companies like Zappos and Southwest Airlines have tried to make employee happiness a metric that matters. But what makes an employee happy? Perhaps we can find a clue in a recent survey from Ypulse that asked Millennials which companies they’d most like to work at. The top 10 answers were:

  1. Google
  2. Apple
  3. Disney
  4. Non-profit/charity
  5. School/community/university
  6. Hospital
  7. U.S. government
  8. Myself/my own company
  9. Amazon
  10. FBI/CIA

It’s an interesting list. It’s not the list you’d expect from a generation that simply wants to get rich quick. You don’t work at a hospital or the FBI if you want to make big bucks. This is a list that comes from people who want to make a difference. They want meaning. In the words of Steve Jobs, they “want to put a ding in the universe.”

I get that. I recently discovered just how hard happiness is to pin down. After selling my company, I was fortunate enough to achieve financial independence and retire at 51. I should have been deliriously happy, right? Well, I wasn’t suicidal by any means, but I would say my level of happiness actually decreased after I tried retirement. I was at the other end of my career path from Millennials, but meaning remained just as important to me.

In a study of retirement satisfaction published in the Journal of Financial Counselling and Planning, Sarah Arsebedo and Martin Seay found that psychologist Martin Seligman’s positive psychological attributes, referred to as PERMA (Positive emotions, Engagement, [Family] Relationships, Meaning and Accomplishment) – don’t go away when we retire. These things are necessary to happiness. For men in particular – and increasingly so with women – we rely on our jobs to provide many of these. This was certainly true for me.

It’s good we’re paying more attention to happiness. But it’s also important that we understand what we’re talking about when we refer to happiness. It has little to do with monetary measures of success. Whether we’re talking nations, corporations or employees, it turns out that happiness means a sense of interconnectedness, contribution and personal values. It means living beyond ourselves and leaving some footprint that won’t fade when we no longer walk this earth.

Ultimately, it means doing stuff that matters.

 

A Possibly Premature Post-Mortem on Yahoo

Last Thursday, Yahoo held it ‘s annual shareholder meeting. At that meeting, CEO Marissa Mayer dealt the company a doubled down kiss of death. She stated the goals of the board are fully aligned with one clear priority: “delivering shareholder value to all of you.” She further mentioned, when dealing with the divesture of all that once was Yahoo, that she’s “been very heartened by the level of interest in Yahoo. It validates our business processes as well as our achievements to date.”

It’s fancier language, but it’s basically the same as the butcher saying, “This cow is no longer viable as a cow, so I’m looking at it as a collection of rump roasts, T-Bones and hamburger. I’m hoping we have more of the former and less of the later.”

Yahoo_1996I first encountered Yahoo in 1995, shortly after it’s brief life as Jerry and David’s Guide to the World Wide Web. I think it was probably still parked on Stanford’s servers at the time. At the time, the Internet was like the world’s biggest second-hand store – a huge collection that was 95% junk/5 % useful stuff with no overarching order or organization. David Filo and Jerry Yang’s site was one of the very first to try to provide that order.

As an early search marketer in the run up to the dot-com bubble, you couldn’t ignore the Yahoo directory. The Yahooligans walked with typical Valley swagger. Hubris was never in short supply. They were the cocks of the walk and they knew it.

It was a much-humbled post-bubble Yahoo that I visited in 2004. They had got their search asses soundly kicked by Google, who was now powering their non-directory results. The age of the curated directory was gone, replaced by the scalability of algorithmic search.

As a culture, the Yahooligans were struggling with the mixed management signals that came from then CEO Terry Semel and his team. Sunnyvale was clouded in a purple haze. The Yahooligans didn’t know who the hell they were or what they were supposed to do. Where they a tech company or an entertainment company? The answer, as it turned out, was neither.

I met with the remnants of the once mighty search team to talk about user behaviors. I didn’t know it at the time, but Yahoo was gearing up to relaunch their search service. A much vilified paid inclusion program would also be debuted. It was one of many ill-fated attempts to find the next “Big Thing.”

Marissa Mayer continues to put a brave face on it, but the Yahoo engine ran out of steam at least a decade and a half ago. What amazes me is how long the ride has been. There is a message here for tech-based companies.

If you dig down to the critical incubation period of any tech company, you find a recurring pattern. Some technologically mediated connection allows people to do something they were previously unable to do. This releases pent up market demand. It’s like a thin sliver trying to poke through a water balloon. If successful, this released market demand creates an immediate and sizable audience for whomever introduced the innovation. Yahoo’s directory, Google’s PageRank, Facebook’s “Facemash”, AirBnB’s accommodation directory, Uber’s ridesharing app – they all share the same modus operandi – a tech-step forward creates a new audience and market opportunity.

In hindsight, once you strip away all the hype, it’s amazing how tenuous and unimpressive these technological advances are. Luck and timing typically play a huge part. If the conditions are right, the sliver eases through the balloon’s membrane and for a time, there is a steady stream of opportunity.

The problem is that is that as easily as these markets form, they can just as easily evaporate. When the technological advantage passes to the next competitor, as it did when Yahoo gave way to Google, all that’s left is the audience. When you consider that Yahoo has been coasting on this audience for close to two decades, it’s rather amazing that Mayer still has any assets at all to sell.

 

Ex Machina’s Script for Our Future

One of the more interesting movies I’ve watched in the past year has been Ex Machina. Unlike the abysmally disappointing Transcendence (how can you screw up Kurzweil – for God’s sake), Ex Machina is a tightly directed, frighteningly claustrophobic sci-fi thriller that peels back the moral layers of artificial intelligence one by one.

If you haven’t seen it, do so. But until you do, here’s the basic set up. Caleb Smith (Domhnall Gleeson) is a programmer at a huge Internet search company called Blue Book (think Google). He wins a contest where the prize is a week spent with the CEO, Nathan Bateman (Oscar Isaac) at his private retreat. Bateman’s character is best described as Larry Page meets Steve Jobs meets Larry Ellison meets Charlie Sheen – brilliant as hell but one messed up dude. It soon becomes apparent that the contest is a ruse and Smith is there to play the human in an elaborate Turing Test to determine if the robot Ava (Alicia Vikander) is capable of consciousness.

About half way through the movie, Bateman confesses to Smith the source of Ava’s intelligence “software.” It came from Blue Book’s own search data:

‘It was the weird thing about search engines. They were like striking oil in a world that hadn’t invented internal combustion. They gave too much raw material. No one knew what to do with it. My competitors were fixated on sucking it up, and trying to monetize via shopping and social media. They thought engines were a map of what people were thinking. But actually, they were a map of how people were thinking. Impulse, response. Fluid, imperfect. Patterned, chaotic.”

As a search behaviour guy – that sounded like more fact than fiction. I’ve always thought search data could reveal much about how we think. That’s why John Motavalli’s recent column, Google Looks Into Your Brain And Figures You Out, caught my eye. Here, it seemed, fiction was indeed becoming fact. And that fact is, when we use one source for a significant chunk of our online lives, we give that source the ability to capture a representative view of our related thinking. Google and our searching behaviors or Facebook and our social behaviors both come immediately to mind.

Motavalli’s reference to Dan Ariely’s post about micro-moments is just one example of how Google can peak under the hood of our noggins and start to suss out what’s happening in there. What makes this either interesting or scary as hell, depending on your philosophic bent, is that Ariely’s area of study is not our logical, carefully processed thoughts but our subconscious, irrational behaviors. And when we’re talking artificial intelligence, it’s that murky underbelly of cognition that is the toughest nut to crack.

I think Ex Machina’s writer/director Alex Garland may have tapped something fundamental in the little bit of dialogue quoted above. If the data we willingly give up in return for online functionality provides a blue print for understanding human thought, that’s a big deal. A very big deal. Ariely’s blog post talks about how a better understanding of micro-moments can lead to better ad targeting. To me, that’s kind of like using your new Maserati to drive across the street and visit your neighbor – it seems a total waste of horsepower. I’m sure there are higher things we can aspire to than figuring out a better way to deliver a hotels.com ad. Both Google and Facebook are full of really smart people. I’m pretty sure someone there is capable of connecting the dots between true artificial intelligence and their own brand of world domination.

At the very least, they could probably whip up a really sexy robot.

 

 

 

 

 

 

 

 

 

 

 

 

The Wave Form of Complex Strategy

I’ve been thinking about waves a lot lately. As I said to a recent group of marketing technologists, nature doesn’t plan in straight lines. Nature plays out in waves. As soon as you start looking for oscillations, you seem them everywhere. Seasons, our brains, the economy – if complexity lurks there, chances are there is a corresponding wave.

So how do waves tie into my recent two columns (Part One and Part Two) about agency relationships? Simply this – like most complex things, our corporate strategy should also plot itself against a wave-like cycle. And in that cycle, there is a place for both external partnerships and internal execution.

Let me give you two examples of the ubiquity of waves.

Remember how I talked about Bayesian Strategy? Again, it’s a wave, or, if you’d prefer, a loop (which is simply a wave plotted in a different form). It is a process of setting a frame, opening that frame to external validation and then updating that frame based on our newly perceived reality. This approach to strategy borrows from the work done on how we make sense of the world, which is also a loop, or a wave.

Alex “Sandy” Pentland’s “Science of Great Teams” also embodies its own wave:

“Successful teams, especially successful creative teams, oscillate between exploration for discovery and engagement for integration of the ideas gathered from outside sources. At the MIT Media Lab, this pattern accounted for almost half of the differences in creative output of research groups.”

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Alex “Sandy” Pentland

The thing about waves is that they require very different approaches at the peaks and valleys of the wave. The oscillation is caused by this dynamic tension. The act of gathering input is very different than the act of synthesizing and acting on that output. And it’s very difficult to do both at the same time. Again, Pentland found this in his observation of effective teams, “Exploration and engagement, while both good, don’t easily coexist, because they require that the energy of team members be put to two different uses.”

Increasingly, in complex situations, we have to incorporate wave planning into our strategic approach. And when it comes to marketing, this will likely include a wave that winds itself through working with an external partner to gather the value that comes from their external perspective and in creating an internal “sense-making” discipline with an embedded marketing team. This will require a clear understanding of control and authority transference at the appropriate times. Like the Exploration/Engagement cycle of Pentland’s teams, both are necessary but they shouldn’t necessarily run in parallel.

I’ve found in the past that most of the value that can come from a strong external partnership gets burned off in turf wars and discounting outside information and advice because it doesn’t come from “inside”. Even when this information is accepted, it’s subsumed into internal dialogues and documentation, losing whatever insight it once offered.

Similarly, the partner loses precious cycles trying to keep up to speed with the internal directional course changes that inevitably happen. The problem comes when both these processes try to co-exist and run along the same straight line. The result is a rapidly zig-zagging line that tries to stay the course but loses any energy it might have had in constantly readjusting itself to meet “straight line” strategic objectives.

I believe the right answer to the in-house/agency debate is not an “Either/Or” but rather a wave-aware “And.”

The Case for Strong External Marketing Partnerships

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Sherry Turkle

We like to spend time with others that agree with what we have to say. In her book, Reclaiming Conversation, Sherry Turkle says this leads to us living in a bubble – in this case – a bubble of agreement. While soothing to our own sensibilities, this can be a dangerous path to walk down. It leads to dangerous biases in perception like Group Think and Information Cascades. It doesn’t give us a true picture of what the world is really like.

Last week, I said that a shorter “sense-making” cycle is one reason why moving advertising and marketing in-house might be a better way to go. But what if those sense-making cycles lead to a skewed view of the world because of perceptual distortion? What if it leads to us seeing the world not as it is, but as we wish it was? Today, as promised, I want to look at the other side of the question – the advantages that can come from having strong external partnerships.

As I said last week, Bayesian Strategy relies on three principles:

  • Strategic planning is a continuous and iterative process
  • Strategic plans are nothing more than hypotheses that are then subject to validation through empirical data
  • The span of the loop between the setting of the strategic frame and the data that validates it should be kept as short as possible.

While moving more functions – including marketing – in-house helps with the last of these, it can lead to problems with the second step: Empirical Validation.

Prolonged ideological homogeneity is never a good thing. Yet human nature craves it. So, from Socrates on down, we have created rational frameworks that force us to consider divergent thoughts. Democracy is built on such a framework. But over time, most organizations naturally move towards a shared opinion of the world – and that opinion usually starts at the top. It’s what Avinash Kaushik calls the HIPPO Syndrome – The Highest Paid Person’s Opinion.

Agreement bubbles expand due to confirmation bias. Even if we pay lip service to validating our opinions with empirical data, what we count as data depends on what we believe. We look for evidence that confirms our beliefs. We can deny we do it, we can chastise ourselves for doing it, but the fact is, it’s human nature. In the end, we’ll still do it, because we’re programmed to do so.

One way to reliably poke our “agreement bubbles” is to build robust mechanisms to both encounter and embrace ideas from outside the bubble. Remember a few months ago, when I wrote that cultures in which higher percentages of atheists are found also tend to be more innovative? The same factors are at work here. Those cultures have more ideological divergence. More perspectives are considered. The result is almost always a more accurate view of the world. Everyone wants to believe they are “right”, but what is “right” – or as close as is possible – is a synthesis of many different opinions and beliefs.

In this case – especially with something as vital to strategy as marketing – a strong external partnership can force us to consider our agreement bubbles. This is where an agency can bring new views to the table. But the agency and the client have to realize that this is where the value of these partnerships lies. They have to embrace this role and build the trust required to introduce external perspectives into the strategic sense-making cycle.

With two sides of the argument now sketched out, we’ll look next week at how the agency partnership of the future might look.