Category Archives: Information Seeking & Foraging

Consumers in the Wild

Once a Forager, Always a Forager

Your world is a much different place than the African Savanna. But over 100,000 generations of evolution that started on those plains still dictates a remarkable degree of our modern behavior.

Take foraging, for example. We evolved as hunters and gatherers. It was our primary survival instinct. And even though the first hominids are relatively recent additions to the biological family tree, strategies for foraging have been developing for millions and millions of years. It’s hardwired into the deepest and most inflexible parts of our brain. It makes sense, then, that foraging instincts that were once reserved for food gathering should be applied to a wide range of our activities.

That is, in fact, what Peter Pirolli and Stuart Card discovered two decades ago. When they looked at how we navigated online sources of information, they found that humans used the very same strategy we would have used for berry picking or gathering cassava roots. And one of the critical elements of this was something called Marginal Value.

Bounded Rationality & Foraging

It’s hard work being a forager. Most of your day – and energy – is spent looking for something to eat. The sparser the food sources in your environment, the more time you spend looking for them. It’s not surprising; therefore, that we should have some fairly well honed calculations for assessing the quality of our food sources. This is what biologist Eric Charnov called Marginal Value in 1976. It’s an instinctual (and therefore, largely subconscious) evaluation of food “patches” by most types of foragers, humans included . It’s how our brain decides whether we should stay where we are or find another patch. It would have been a very big deal 2 million – or even 100,000 – years ago.

Today, for most of us, food sources are decidedly less “patchy.” But old instincts die hard. So we did what humans do. We borrowed an old instinct and applied it to new situations. We exapted our foraging strategies and started using them for a wide range of activities where we had to have a rough and ready estimation of our return on our energy investment. Increasingly, more and more of these activities asked for an investment of cognitive processing power. And we did all this without knowing we were even doing it.

This brings us to Herbert Simon’s concept of Bounded Rationality. I believe this is tied directly to Charnov’s theorem of Marginal Value. When we calculate how much mental energy we’re going to expend on an information-gathering task, we subconsciously determine the promise of the information “patches” available to us. Then we decided to invest accordingly based on our own “bounded” rationality.

Brands as Proxies for Foraging

It’s just this subconscious calculation that has turned the world of consumerism on its ear in the last two decades. As Itamar Simonson and Emanuel Rosen explain in their book Absolute Value, the explosion of information available has meant that we are making different marginal value calculations than we would have thirty or forty years ago. We have much richer patches available, so we’re more likely to invest the time to explore them. And, once we do, the way we evaluate our consumer choices changes completely. Our modern concept of branding was a direct result of both bounded rationality and sparse information patches. If a patch of objective and reliable information wasn’t apparent, we would rely on brands as a cognitive shortcut, saving our bounded rationality for more promising tasks.

Google, The Ultimate “Patch”

In understanding modern consumer behavior, I think we have to pay much more attention to this idea of marginal value. What is the nature of the subconscious algorithm that decides whether we’re going to forage for more information or rely on our brand beliefs? We evolved foraging strategies that play a huge part in how we behave today.

For example, the way we navigate our physical environment appears to owe much to how we used to search for food. Women determine where they’re going differently than men because women used to search for food differently. Men tend to do this by orientation, mentally maintaining a spatial grid in their minds against which they plot their own location. Women do it by remembering routes. In my own research, I found split-second differences in how men and women navigated websites that seem to go back to those same foundations.

Whether you’re a man or a woman, however, you need to have some type of mental inventory of information patches available to you to in order to assess the marginal value of those patches. This is the mental landscape Google plays in. For more and more decisions, our marginal value calculation starts with a quick search on Google to see if any promising patches show up in the results. Our need to keep a mental inventory of patches can be subjugated to Google.

It seems ironic that in our current environment, more and more of our behavior can be traced back millions of years to behaviors that evolved in a world where high-tech meant a sharper rock.

Do We Really Want Virtual Reality?

Facebook bought Oculus. Their goal is to control the world you experience while wearing a pair of modified ski goggles. Mark Zuckerberg is stoked. Netflix is stoked. Marketers the world over are salivating. But, how should you feel about this?

Personally, I’m scared. I may even be terrified.

First of all, I don’t want anyone, especially not Mark Zuckerberg, controlling my sensory world.

Secondly, I’m pretty sure we’re not built to be virtually real.

I understand the human desire to control our environment. It’s part of the human hubris. We think we can do a better job than nature. We believe introducing control and predictability into our world is infinitely better than depending on the caprices of nature. We’ve thought so for many thousands of years. And – Oh Mighty Humans Who Dare to be Gods – just how is that working out for us?

Now that we’ve completely screwed up our physical world, we’re building an artificial version. Actually, it’s not really “we” – it’s “they.” And “they” are for profit organizations that see an opportunity. “They” are only doing it so “they” control our interface to consciousness.

Personally, I’m totally comfortable giving a profit driven corporation control over my senses. I mean, what could possibly happen? I’m sure anything they may introduce to my virtual world will be entirely for my benefit. I’m sure they would never take the opportunity to use this control to add to their bottom line. If you need proof, look how altruistically media – including the Internet – has evolved under the stewardship of corporations.

Now, their response would be that we can always decide to take the goggles off. We stay in control, because we have an on/off switch. What they don’t talk about is the fact that they will do everything in their power to keep us from switching their VR world off. It’s in their best interest to do so, and by best interest, I mean they more time we spend in their world, as opposed to the real one, the more profitable it is for them. They can hold our senses hostage and demand ransom in any form they choose.

How will they keep us in their world? By making it addictive. And this brings us to my second concern about Virtual Reality – we’re just not built for it.

We have billions of neurons that are dedicated to parsing and understanding a staggeringly complex and dynamic environment. Our brain is built to construct a reality from thousands and thousands of external cues. To manage this, it often takes cognitive shortcuts to bring the amount of processing required down to a manageable level. We prefer pleasant aspects of reality. We are alerted to threats. Things that could make us sick disgust us. The brain manages the balance by a judicious release of neurochemicals that make us happy, sad, disgusted or afraid. Emotions are the brain’s way of effectively guiding us through the real world.

A virtual world, by necessity, will have a tiny fraction of the inputs that we would find in the real world. Our brains will get an infinitesimal slice of the sensory bandwidth it’s used to. Further, what inputs it will get will have the subtlety of a sledgehammer. Ham fisted programmers will try to push our emotional hot buttons, all in the search for profit. This means a few sections of our brain will be cued far more frequently and violently than they were ever intended to be. Additionally, huge swaths of our environmental processing circuits will remain dormant for extended periods of time. I’m not a neurologist, but I can’t believe that will be a good thing for our cognitive health.

We were built to experience the world fully through all our senses. We have evolved to deal with a dynamic, complex and often unexpected environment. We are supposed to interact with the serendipity of nature. It is what it means to be human. I don’t know about you, but I never, ever, want to auction off this incredible gift to a profit-driven corporation in return for a plastic, programmed, 3 dimensional interface.

I know this plea is too late. Pandora’s Box is opened. The barn door is open. The horse is long gone. But like I said, I’m scared.

Make that terrified.

Talking Back to Technology

The tech world seems to be leaning heavily towards voice activated devices. Siri – Amazon Echo – Facebook M – “OK Google” – as well as pretty much every vehicle in existence. It should make sense that we would want to speak to our digital assistants. After all, that’s how we communicate with each other. So why – then – do I feel like such a dork when I say “Siri, find me an Indian restaurant”?

I almost never use Sir as my interface to my iPhone. On the very rare occasions when I do, it’s when I’m driving. By myself. With no one to judge me. And even then, I feel unusually self-conscious.

I don’t think I’m alone. No one I know uses Siri, except on the same occasions and in the same way I do. This should be the most natural thing in the world. We’ve been talking to each other for several millennia. It’s so much more elegant than hammering away on a keyboard. But I keep seeing the same scenario play out over and over again. We give voice navigation a try. It sometimes works. When it does, it seems very cool. We try it again. And then, we don’t do it any more. I base this on admittedly anecdotal evidence. I’m sure there are those that continually chat merrily away to the nearest device. But not me. And not anyone I know either. So, given that voice activation seems to be the way devices are going, I have to ask why we’re dragging our heels to adopt?

In trying to judge the adoption of voice-activated interfaces, we have to account for mismatches in our expected utility. Every time we ask for some thing – like, for instance, “Play Bruno Mars” and we get the response, “I’m sorry, I can’t find Brutal Cars,” some frustration would be natural. This is certainly part of it. But that’s an adoption threshold that will eventually yield to sheer processing brute strength. I suspect our reluctance to talk to an object is found in the fact that we’re talking to an object. It doesn’t feel right. It makes us look addle-minded. We make fun of people who speak when there’s no one else in the room.

Our relationship with language is an intimately nuanced one. It’s a relatively newly acquired skill, in evolutionary terms, so it takes up a fair amount of cognitive processing. Granted, no matter what the interface, we currently have to translate desire into language, and speaking is certainly more efficient than typing, so it should be a natural step forward in our relationship with machines. But we also have to remember that verbal communication is the most social of things. In our minds, we have created a well-worn slot for speaking, and it’s something to be done when sitting across from another human.

Mental associations are critical for how we make sense of things. We are natural categorizers. And, if we haven’t found an appropriate category when we encounter something new, we adapt an existing one. I think vocal activation may be creating cognitive dissonance in our mental categorization schema. Interaction with devices is a generally solitary endeavor. Talking is a group activity. Something here just doesn’t seem to fit. We’re finding it hard to reconcile our usage of language and our interaction with machines.

I have no idea if I’m right about this. Perhaps I’m just being a Luddite. But given that my entire family, and most of my friends, have had voice activation capable phones for several years now and none of them use that feature except on very rare occasions, I thought it was worth mentioning.

By the way, let’s just keep this between you and I. Don’t tell Siri.

Ode to a Grecian Eurozone

comm-crisis I’d like to comment on the Greek debt crisis. But I don’t know anything about it. Zip..or, as they say in Athens – μηδέν. I do, however, know how to say zero in Greek, thanks to Google Translate. At least for the next few minutes. I also happen to know rather a lot right now about the Tour de France, how to wire RV batteries, how to balance pool chemicals, how to write obituaries and most of the plotlines for the Showtime series Homeland. I certainly know more about all those things than the average person. Tomorrow, I’ll probably know different stuff. And I will retain almost nothing. But if you ask me what in the world is happening right now, I’ll likely draw a blank. I’d say it’s all Greek to me, but a certain Mediapost columnist already stole that line. Damn you Bob Garfield!

I’m not really sure if I’m concerned about this. After all, I’m the one who has chosen not to watch the news for a long time. My various information sources feed me a steady diet of information, but it’s all been predetermined based on my interests. I’m in what they call a “filter bubble.” I’ve become my own news curator and somewhere along the line, I’ve completely filtered out anything to do with the Greek economy. It’s because I’m not really interested in the Greek economy, but I’m thinking maybe I should be.

(Incidentally, am I the only one who finds it a bit ironic that the word “economy” comes from – you guessed it – the Greek words for “house” and “management”)

The problem is that I have a limited attention span. My memory capacity is a little more voluminous, but there are definite limits to that, as well. To make matters worse, Google is making me intellectually lethargic. I don’t try as hard to remember stuff because I don’t have to. Why learn how to count to 10 in Greek when I can just look it up when I need to. I’m not alone in this. We’re all going down the same blind cornered path together. Sooner or later, we’ll all run into a major crisis we never saw coming. And it’s because we’ve all been looking in different places.

40 years ago, to be well informed, you had to pay attention to mainstream news sources. It was the only option we had. We all got feed the same diet of information. Some of us retained more than others, but we all dined at the same table. Our knowledge capacity was first filled from these common news sources. Then, after that, we’d fill whatever nooks and crannies were left with whatever our unique interests might be. But we all, to some extent, shared a common context. Knowledge may not have been deep, but it was definitely broad.

Now, if I choose to learn more about the Greek economy, I certainly have plenty of opportunities to do so. But I’d be starting with a blank slate. It would take some work to get up to speed. So I have to decide whether it’s worth the effort for me to inform myself. Is the return worth the investment? Something has to tip the balance to make it important enough to learn more about whatever it is the Greeks are referendumming (referendering?) about. And in the meantime, there will be a lot of other things competing for that same limited supply of information gathering attention. Tomorrow, for instance, it might become really important for me to find out how close BC is to legalizing pot, or what the wild fire hazard is in Northern Saskatchewan, or what July’s weather is like in Chiang Mai. All of these things are relatively easy to find, but I have to reserve enough retention capacity to use the information once I find it. Information may want to be free, but the resources required to utilize it depletes our limited stores of cognitive ability.

Perhaps we’re saving more of our attention for on demand information requirements. Or maybe we’re just filtering out more of what we used to call news. Whatever the cause, I think we’re loosing our common cultural context, bit by byte. A community is defined by what it has in common, and the more technology allows us to pursue our individual interests, the more we surrender the common narratives that used to bind us.

Some Second Thoughts on Mindless Media

When I read Tom Goodwin’s Online Spin last week, I immediately jumped on his bandwagon. How could I not? He played the evolutionary psychology card and then trumped that by applying it to the consumption of media. This was right up my ideological alley.

addict_f1pjr6Here’s a quick recap: Humans evolved to crave high calorie foods because these were historically scarce. In the last century, however, processed food manufacturing has ensured that high calorie foods are abundantly available. The result? We got fat. Really fat. Tom worries that the same thing is happening to our consumption of media. As traditional publishing channels break down, will we become a society of information snackers?

“We’re rewarding pieces that are most-clickable or most easily digested, and our news diet shifts from good-for-us to snackable.”

Goodwin also mourns the death of serendipitous discovery – which was traditionally brought to us by our loyalty to a channel and the editorial control exercised by that channel. If we were loyal to the New York Times, then we were introduced to content they thought we should see. But in the age of “filter bubbles” our content becomes increasingly homogenized based on algorithms, which are drawing an ever-narrowing circle bounded by our explicit requests and our implicit behavior patterns. We become further insulated from quality by mindless social media sharing – which tends to favor content pandering to the lowest common denominator.

But the more I thought about it, the more I wondered if this wasn’t a little paradoxical? Tom’s very thoughtful column, which hardly qualifies as intellectual fast-food, didn’t come to us through traditional journalism. Tom, like myself, is not a professional journalist. And while MediaPost does provide some editorial curation, it’s purpose it to provide a fairly transparent connection between industry experts like Tom and other experts like you. Tom’s piece came to us through a much more transparent information marketplace – the very same marketplace that Tom worries is turning us into an audience of mindless media junkies. And I should add that Tom’s piece was shared through social circles over 200 times.

So where is the disconnect here? The problem is that when it comes to human behaviors, there are no universal truths. How we act in almost any given situation will eventually distribute itself across a bell curve. Let’s take obesity, for instance. If we talk trends, Tom is absolutely correct. The introduction of fast food in North America coincided with an explosion of obesity, which as a percentage of the US population rose from about 10% in the 1950’s to almost 35% in 2013. But if we accept the premise that we all mindlessly crave calories, we should all be obese. Obesity rates should also continue to be going up until they reach 100% of the population. But those two things are just not true. Obesity rates have plateaued in the last few years and there are indications that they are starting to decline amongst children. Also, although fast food is now available around the world – obesity rates vary greatly. Japan has one of the highest concentrations of McDonald’s outlets per capita (25 per million) in the world but has an obesity rate of 3.2%, the lowest in all OECD countries. The US has a higher concentration McDonald’s (45 per million) but has an obesity rate 10 times that of Japan. And my own country, Canada, almost matches the US McDonald for McDonald (41 per million) but has an obesity rate half that of the US (14.3%).

My point is not to debate whether we’re getting fatter. We are. But there’s more to it than just the prevalence of fast food. And these factors apply to our consumption of media as well. For example, there is a strong negative correlation between obesity levels and education. There is also a strong negative correlation between obesity and income. Cultural norms have a huge impact on the prevalence of obesity. There are no universal truths here. There are just a lot of nebulous factors at play. So, if we want to be honest when we draw behavioral comparisons, we have to be accepting of those factors.

Much as I believe evolution drives many of our behaviors, I also believe that more open markets are better than more restrictive ones. As the mentality of abundance takes hold, our behaviors take time to adjust. Yes, we do snack on crap. But we also have access to high quality choices we could have never dreamed of before. And the ratio of consumption between those two extremes will be different for all of us. Consider the explosion of TV programming that has happened over the last 3 decades. Yes, there is an over-abundance of mindless dreck, but there is also more quality programming than ever to choose from. The same is true of music and pretty much any other category where markets have opened up through technology.

The way to increase the quality of what we consume, whether it be food, information or entertainment, is not to limit the production and distribution of those consumables through more restrictive markets, but to improve education, access and create a culture of considered consumption. Some of us will choose crap. But some of us will choose the cream that rises to the top. The choice will be ours. The answer is not to take those choices away, but rather to create a culture that encourages wiser choices.

How Activation Works in an Absolute Value Market

As I covered last week, if I mention a brand to you – like Nike, for instance – your brain immediately pulls back your own interpretation of the brand. What has happened, in a split second, is that the activation of that one node – let’s call it the Nike node – triggers the activation of several related nodes in your brain, which is quickly assembled into a representation of the brand Nike. This is called Spreading Activation.

This activation is all internal. It’s where most of the efforts of advertising have been focused over the past several decades. Advertising’s job has been to build a positive network of associations so when that prime happens, you have a positive feeling towards the brand. Advertising has been focused on winning territory in this mental landscape.

Up to now, we have been restricted to this internal landscape when making consumer decisions by the boundaries of our own rationality. Access to reliable and objective information about possible purchases was limited. It required more effort on our part than we were willing to expend. So, for the vast majority of purchases, these internal representations were enough for us. They acted as a proxy for information that lay beyond our grasp.

But the world has changed. For almost any purchase category you can think of, there exists reliable, objective information that is easy to access and filter. We no longer are restricted to internal brand activations (relative values based on our own past experiences and beliefs). Now, with a few quick searches, we can access objective information, often based on the experiences of others. In their book of the same name, Itimar Simonson and Emanuel Rosen call these sources “Absolute Value.” For more and more purchases, we turn to external sources because we can. The effort invested is more than compensated for the value returned. In the process, the value of traditional branding is being eroded. This is truer for some product categories than others. The higher the risk or the level of interest, the more the prospect will engage in an external activation. But across all product categories, there has been a significant shift from the internal to the external.

What this means for advertising is that we have to shift our focus from internal spreading activations to external spreading activations. Now, when we retrieve an internal representation of a product or brand, it typically acts as a starting point, not the end point. That starting point is then to be modified or discarded completely depending on the external information we access. The first activated node is our own initial concept of the product, but the subsequent nodes are spread throughout the digitized information landscape.

In an internal spreading activation, the nodes activated and the connections between those nodes are all conducted at a subconscious level. It’s beyond our control. But an external spreading activation is a different beast. It’s a deliberate information search conducted by the prospect. That means that the nodes accessed and the connections between those nodes becomes of critical importance. Advertisers have to understand what those external activation maps look like. They have to be intimately aware of the information nodes accessed and the connections used to get to those nodes. They also have to be familiar with the prospect’s information consumption preferences. At first glance, this seems to be an impossibly complex landscape to navigate. But in practice, we all tend to follow remarkable similar paths when establishing our external activation networks. Search is often the first connector we use. The nodes accessed and the information within those nodes follow predictable patterns for most product categories.

For the advertiser, it comes down to a question of where to most profitably invest your efforts. Traditional advertising was built on the foundation of controlling the internal activation. This was the psychology behind classic treatises such as Ries and Trout’s “Positioning, The Battle for Your Mind.” And, in most cases, that battle was won by whomever could assemble the best collection of smoke and mirrors. Advertising messaging had very little to do with facts and everything to do with persuasion.

But as Simonsen and Rosen point out, the relative position of a brand in a prospect’s mind is becoming less and less relevant to the eventual purchase decision. Many purchases are now determined by what happens in the external activation. Factual, reliable information and easy access to that information becomes critical. Smoke and mirrors are relegated to advertising “noise” in this scenario. The marketer with a deep understanding of how the prospect searches for and determines what the “truth” is about a potential product will be the one who wins. And traditional marketing is becoming less and less important to that prospect.

 

The Spreading Activation Model of Marketing

“Beatle.”

I have just primed you. Before you even finished reading the word above, you had things popping into your mind. Perhaps it was a mental image of an individual Beatle – either John, Paul, George or Ringo. Perhaps it was a snippet of song. Perhaps it was grainy black and white footage of the Ed Sullivan show appearance. But as the concept “Beatle” entered your working memory, your brain was hard at work retrieving what you believed were relevant concepts from your long-term memory. (By the way, if your reaction was “What’s a Beatle?” – substitute “Imagine Dragons.”)

1-brain-neural-network-pasiekaThat’s a working example of spreading activation. The activation of your working memory pulls associated concepts from your long-term memory to create a mental construct that creates your internal definition of whatever that first label was.

Now, an important second step may or may not happen. First, you have to decide how long you’re going to let the “Beatle” prime occupy your working memory. If it’s of fleeting interest, you’ve probably already wiped the slate clear, ready for the next thing that catches your interest. But if that prime is strong enough to establish a firm grip on your attention, then you have a choice to make. Is your internal representation complete, or do you require more information? If you require more information then you have to turn to external sources for that information.

Believe it or not, this column is not intended as a 101 primer in Cognitive Psych. But the mental gymnastics I describe are important when we think about marketing, as we go through exactly the same process when we think about potential purchases. If we can understand that process better, we gain some valuable hints about how to more effectively market in an exceedingly fluid technological environment.

Much of advertising is built on the first half of the process – building associative brand concepts and triggering the prime that retrieves those concepts into working memory. Most of what isn’t working about advertising lies on this side of the cognitive map. We’ve been overly focused on the internal activation, at the expense of the external. But thanks to an explosion of available (and objective) information we’re less reliant on using our internal knowledge when making purchase decisions. Itamar Simonson and Emanuel Rosen explain in their book “Absolute Value”: “A person’s decision to buy is affected by a mix of three related sources: The individual’s Prior preferences, beliefs, and experiences (P) Others. Other people and information services (O) and Marketers (M).”

Simonson and Rosen say that with near perfect information available for the consumer, we now rely more on (O) and less on (P) and (M). Let’s leave (M) and (O) aside for the moment and focus on the (P) in this equation. (P) represents our internal spreading activation. After we’re primed, we retrieve a representation of the product or service we’re thinking of. At this point, we make an internal calculation. We balance how confident we are that our internal representation is adequate to make a purchase against how much effort we have to expend to gather further information. This calculation is largely made subconsciously. It follows Herbert Simon’s principle of Bounded Rationality. It also depends on how much risk is involved in the purchase we’re contemplating. If all the factors dictate that we’re reasonably confident in our internal representation and the risk we’re assuming, we’ll pull out our wallets and buy. If, however, we aren’t confident, we’ll start seeking more information. And that’s where (O) and (M) come in.

Simonson and Rosen lay out a purchase behaviour continuum, from (O) Dependent to (O) Independent. It’s at the (O) Dependent end, where internal confidence in retrieved beliefs and experience is low, that buying behaviors are changing dramatically. And it’s there where conventional approaches to advertising are falling far short of the mark. They are still stuck in the mythical times of Mad Men, where marketers relied on a “Prime, Retrieve (Internal beliefs), Purchase” path. Today, it’s much more likely that the Prime and Retrieve stages will be followed by an external spreading activation. We’ll pick up that thread in next week’s Online Spin.

 

Consuming in Context

npharris-oscarsIt was interesting watching my family watch the Oscars Sunday night. Given that I’m the father of two millennials, who have paired with their own respective millennials, you can bet that it was a multi-screen affair. But to be fair, they weren’t the only ones splitting their attention amongst the TV and various mobile devices. I was also screen hopping.

As Dave Morgan pointed out last week, media usage no longer equates to media opportunity. And it’s because the nature of our engagement has changed significantly in the last decade. Unfortunately, our ad models have been unable to keep up. What is interesting is the way our consumption has evolved. Not surprisingly, technology is allowing our entertainment consumption to evolve back to its roots. We are watching our various content streams in much the same way that we interact with our world. We are consuming in context.

The old way of watching TV was very linear in nature. It was also divorced from context. We suspended engagement with our worlds so that we could focus on the flickering screen in front of us. This, of course, allowed advertisers to buy our attention in little 30-second blocks. It was the classic bait and switch technique. Get our attention with something we care about, and then slip in something the advertiser cares about.

The reason we were willing to suspend engagement with the world was that there was nothing in that world that was relevant to our current task at hand. If we were watching Three’s Company, or the Moon Landing, or a streaker running behind David Niven at the 1974 Oscar ceremony, there was nothing in our everyday world that related to any of those TV events. Nothing competed for the spotlight of our attention. We had no choice but to keep watching the TV to see what happened next.

But imagine if a nude man suddenly appeared behind Matthew McConaughey at the 2015 Oscars. We would immediately want to know more about the context of what just happened. Who was it? Why did it happen? What’s the backstory? The difference is now, we have channels at our disposal to try to find answers to those questions. Our world now includes an extended digital nervous system that allows us to gain context for the things that happen on our TV screens. And because TV no longer has exclusive control of our attention, we switch to the channel that is the best bet to find the answers we seek.

That’s how humans operate. Our lives are a constant quest to fill gaps in our knowledge and by doing so, make sense of the world around us. When we become aware of one of these gaps we immediate scan our environment to find cues of where we might find answers. Then, our senses are focused on the most promising cues. We forage for information to satiate our curiosity. A single-minded focus on one particular cue, especially one over which we have no control, is not something we evolved to do. The way we watched TV in the 60s and 70s was not natural. It was something we did because we had no option.

Our current mode of splitting attention across several screens is much closer to how humans naturally operate. We continually scan our environment, which, in this case, included various electronic interfaces to the extended virtual world, for things of interest to us. When we find one, our natural need to make sense sends us on a quest for context. As we consume, we look for this context. The diligence of our quest for that context will depend on the degree of our engagement with the task at hand. If it is slight, we’ll soon move on to the next thing. If it’s deep, we’ll dig further.

On Sunday night, the Hotchkiss family quest for context continually skipped around, looking for what other movies J.K. Simmons had acted in, watching the trailer for Whiplash, reliving the infamous Adele Dazeem moment from last year and seeing just how old Benedict Cumberbatch is (I have two daughters that are hopelessly in love, much to the chagrin of their boyfriends). As much as the advertisers on the 88th Oscars might wish otherwise, all of this was perfectly natural. Technology has finally evolved to give our brain choices in our consumption.

 

 

 

 

 

 

Why More Connectivity is Not Just More – Why More is Different

data-brain_SMEric Schmidt is predicting from Davos that the Internet will disappear. I agree. I’ve always said that Search will go under the hood, changing from a destination to a utility. Not that Mr. Schmidt or the Davos crew needs my validation. My invitation seems to have got lost in the mail.

Laurie Sullivan’s recent post goes into some of the specifics of how search will become an implicit rather than an explicit utility. Underlying this is a pretty big implication that we should be aware of – the very nature of connectivity will change. Right now, the Internet is a tool, or resource. We access it through conscious effort. It’s a “task at hand.” Our attention is focused on the Internet when we engage with it. The world described by Eric Schmidt and the rest of the panel is much, much different.   In this world, the “Internet of Things” creates a connected environment that we exist in. And this has some pretty important considerations for us.

First of all, when something becomes an environment, it surrounds us. It becomes our world as we interpret it through our assorted sensory inputs. These inputs have evolved to interpret a physical world – an environment of things. We will need help interpreting a digital world – an environment of data. Our reality, or what we perceive our reality to be, will change significantly as we introduce technologically mediated inputs into it.

Our brains were built to parse information from a physical world. We have cognitive mechanisms that evolved to do things like keep us away from physical harm. Our brains were never intended to crunch endless reams of digital data. So, we will have to rely on technology to do that for us. Right now we have an uneasy alliance between our instincts and the capabilities of machines. We are highly suspicious of technology. There is every rational reason in the world to believe that a self-driving Google car will be far safer than a two ton chunk of accelerating metal under the control of a fundamentally flawed human, but who of us are willing to give up the wheel? The fact is, however, that if we want to function in the world Schmidt hints at, we’re going to have to learn not only to trust machines, but also to rely totally on them.

The other implication is one of bandwidth. Our brains have bottlenecks. Right now, our brain together with our senses subconsciously monitor our environment and, if the situation warrants, they wake up our conscious mind for some focused and deliberate processing. The busier our environment gets, the bigger this challenge becomes. A digitally connected environment will soon exceed our brain’s ability to comprehend and process information. We will have to determine some pretty stringent filtering thresholds. And we will rely on technology to do the filtering. As I said, our physical senses were not built to filter a digital world.

It will be an odd relationship with technology that will have to develop. Even if we lower our guard on letting machines do much of our “thinking” (in terms of processing environmental inputs for us) we still have to learn how to give machines guidelines so they know what our intentions are. This raises the question, “How smart do we want machines to become?” Do we want machines that can learn about us over time, without explicit guidance from us? Are we ready for technology that guesses what we want?

One of the comments on Laurie’s post was from Jay Fredrickson, “Sign me up for this world, please. When will this happen and be fully rolled out? Ten years? 20 years?” Perhaps we should be careful what we wish for.  While this world may seem to be a step forward, we will actually be stepping over a threshold into a significantly different reality. As we step over that threshold, we will change what it means to be human. And there will be no stepping back.

Publishers as Matchmakers

gatekeeperI’m a content creator. And, in this particular case, I’ve chosen MediaPost as the distribution point for that content. If we’re exploring the role of publishing in the future, the important question to ask here is why? After all, I could publish this post in a couple clicks to my blog. And, thanks to my blogging software, it will automatically notify my followers that there’s a new post. So, what value does Mediapost add to that?

Again, we come back to signal and noise. I generate content primarily to reach both a wide and interested audience. As a digital marketing consultant, there is a financial incentive to grow my own personal brand, but to be honest, my reward is probably more tied up in the concepts of social capital and my own ego. I publish because I want to be heard. And I want to be heard by people who find my content valuable. I have almost 2000 followers between my blog, Twitter feed and other social networks, but those people already know me. Hopefully, Mediapost will introduce me to new people that don’t know me. I want Mediapost to be my matchmaker.

Now, the second question to ask is, why are you reading this post on Mediapost? While I don’t presume to be able to know your own personal intentions, I can take a pretty good shot at generalizing – you are a Mediapost reader because you find the collection of content they publish interesting. It’s certainly not the only place online you can find content about marketing and media. And, if they chose to, any of the MediaPost writers could easily publish their content on their own blogs. You have chosen MediaPost because it acts as both a convenient access point and an effective filter.

This connection between content and audience is where publishers like MediaPost add value. Because you trust MediaPost to deliver content you find interesting, it passes the first level of your filtering threshold. I, as a content creator, get the benefit of MediaPost’s halo effect. The odds are better that I can connect with new readers under the MediaPost banner than they are if you’re introduced to me through a random, unfiltered tweet or alert in your newsfeed. And here we have a potential clue in the future of revenue generation for publishers. If publishing is potentially a match making service, perhaps we need to look at other matchmakers to see how they generate revenue.

In the traditional publishing world, it would be blasphemous to suggest that content creators should be charged for access to an audience. After all, we used to get paid to generate content by the publishers. But that was then and this is now. Understand, I’m not talking about native advertising or advertorials here. In fact, it would be the publisher’s responsibility to filter out unacceptably commercial editorials. I’m talking about creating an audience market for true content generators. In this day of personal branding, audiences have value. The better the audience, the higher the value. It should be worth something to me to reach new audiences. Publishers, in turn, act as the reader’s filter, ensuring the content they provide matches the user’s interest. Again, if the match is good enough, that has value for the reader.

Of course, the problem here is quantifying value on both sides of the relationship. I would imagine that both the content creators and content consumers that are reading my suggestions are probably saying, “There is no way I would pay for that!” And, in the current state of online publishing, I wouldn’t either – as a creator nor a consumer. The value isn’t there because the match isn’t strong enough. But if publishers focused on building the best possible audience and on presenting the best possible content, it might be a different story. More importantly, it would be a revenue model that would realign publishers with their audience, rather than pit them against it.

From the reader’s perspective, if a publisher was acting as your own private information filter, and not as a platform for poorly targeted advertising, you would probably be more willing to indicate your preferences and share information. If the publisher was discriminating enough, you might even be willing to allow them to introduce very carefully targeted offers from advertiser’s, filtering down to only the offers you’re highly likely to be interested in. This provides three potential revenue sources to the publisher: content creators looking for an audience, readers looking for an effective filtering service and advertisers looking for highly targeted introductions to prospects. In the last case, the revenue should be split with the prospect, with the publisher taking a percentage for handling the introduction and the rest going to the prospect in return for agreeing to accept the advertiser’s introduction.

While radically different than today’s model, what I’ve proposed is not a new idea. It was first introduced in the book Net Worth, by John Hagel and Marc Singer. They introduced the idea in 1999. Granted, my take is less involved than theirs is, but the basic idea is the same – a shift from a relentless battering of prospects with increasingly overt advertising messages to a careful filtering and matching of interests and appropriate content. And, when you think about it, the matching of intent and content is what Google has been doing for two decades.

Disruptive innovations tend to change the ways that value is determined. They take previous areas of scarcity and change them to ones of abundance. They upend markets and alter existing balances between forces. When the markets shift to this extent, trying to stick to the old paradigm guarantees failure. The challenge is that there is no new paradigm to follow. Experimentation is the only option. And to experiment you have to be willing to explore the boundaries. The answer won’t be found in the old, familiar territory.