Category Archives: Information Seeking & Foraging

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.

 

 

 

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.

When Evolution (and Democracy) Get It Wrong

“I’ve made a huge mistake”

G.O.B. – Arrested Development

The world is eliminating friction. Generally, that’s a good thing. But there may be unintended consequences.

Let’s take evolution, for instance. Friction in evolution comes in the form of survival rates. Barring other mitigating factors over the length of a natural evolutionary timeline, successful mutations will result in higher survival rates and, therefore, higher propagation rates. Those mutations that best fit the adaptive landscape will survive. Unsuccessful ones will die out.

But that assumes a landscape in which survival has a fairly high threshold. The lower the threshold, the more likely it is that a greater number of mutations will “get over the bar”.

Two factors can vary that threshold. One is the adaptive environment itself. It may proved to be “kinder and gentler” for an extended period of time, allowing for the flourishing of “less fit” candidates.

The other is a factor unique to one species that allows them to alter the environment at their will. Like technology, for instance. In the hands of humans, we have used technology to eliminate friction and drag the bar lower and lower – until the idea of survival of the fittest has little meaning any more.

The more friction there is, the more demanding that propagation threshold is. This same phenomenon is true of most emergent systems. What emerges depends on the environment the system is operating in. Demanding environments are called rugged landscapes. There is some contrary logic that operates here. The removal of friction can actually increase the number of mutations (or, in societal terms – innovation). More mutations – or ideas – can survive because the definition of “fittest” is less demanding. But we also build up a tipping point of mediocrity in the gene or meme pool and if something does cause the adaptive landscape to suddenly become more rugged, the extinction rate soars. The reckoning can be brutal.

Lets look at memes. For ideas to spread, there used to be a fairly high threshold of “shareability.” There was a publishing and editorial supply chain that introduced a huge amount of friction into our culture. This friction has largely been removed, allowing any of us to instantly share ideas. This has lead to a recalibration of the shareability threshold – an explosion of viral content that happens to ding our fickle consciousness just long enough for us to hit the share button. Bob Garfield called this “The Survival of the Funnest” in a recent column.

But was the previous friction a good thing? We definitely have more content being produced now. Some of it is very good. This couldn’t have happened under the previous cultural supply chain. But a lot of the content is – at best – frivolous and – at worst – dangerous. That same chain did force thoughtfulness into the filter of content. Someone – somewhere – had to think about what was fit to publish.

Now, one could argue that ultimately the market will get it right. We could also argue that evolution never makes mistakes. But that’s not always true. If the threshold of fitness gets lowered, evolution will make mistakes. Tons of them. I suspect the same is true of markets. If we grow complacent and entitled, we can flood the market with mediocrity. We humans have an unlimited capacity to make bad choices if we don’t have to make good ones

This brings me to the current state of democracy. Democracy is cultural evolution in action. It means – literally – the “people” (demos) “rule” (kratia). It assumes that the majority will get it right. But the adaptive landscape of democracy has also changed. The threshold has been lowered. We are making electoral decisions based on the same viral content that has flooded the rest of our culture. Thoughtfulness is in woefully short supply. There is no shortage of knee-jerk soundbites that latch on to the belief system of a disgruntled electorate. This is an ideological death spiral that could have big consequences.

Correction.

Make that “Huuugggeee” consequences.

 

 

 

Chatting Up a Storm

I’ve been talking about a “meta-app” for ages. It looks like China may have found it in WeChat. We in the Western World have been monitoring the success of TenCent’s WeChat with growing interest. Who would have thought that a simple chat interface could be the killer app of the future?

Chat interfaces seem so old school. They appear to be clunky and inefficient. But the beauty of chat is that it’s completely flexible. As Wired.com’s David Pierce said, “You can, for all intents and purposes, live your entire life within WeChat.” That’s exactly the type of universal functionality you need to become a meta-app.

We’ve always envisioned having conversations with our computers, even going back to Star Trek and 2001: A Space Odyssey. But we didn’t think out conversations would be carried out in text bubbles on a hand held device. A PEW study found that texting is the single most common activity on a Smartphone. 97% of us do it. So if messaging is the new UI, none of us have to learn anything new.

Graphic interfaces are necessarily tied to a particular task. The interface is designed for a specific intent. But messaging interfaces can adapt as intents change. They can quickly switch from social messaging to purchasing online to searching for an address to – well – you get the idea.

But where texting really shines is when it’s combined with artificially intelligent chatbots. A simple, universally understood interface that’s merged with powerful intelligent agents – either human and machine – allows the user to quickly request or do anything they wish. The functionality of intent specific apps can be called on as required and easily introduced into the chat interface.

In effect, text messaging is doing exactly what Apple hoped Siri would do – become the universal interface to the digital world. Given that speaking would appear to be easier than texting, one has to wonder why Siri never really gained the traction that Apple hoped it would. I think this can be attributed to three reasons:

  • The difficulties of spoken interpretation still restricts the functionality of Siri. The success rate isn’t high enough to completely gain our confidence
  • The use case of Siri is still primarily when we need to keep our hands free. It’s not that easy to switch to interactions where tactile input is required
  • We look like idiots speaking to a machine

All of these are avoided in a chat-based interface. We still have the flexibility of a conversational interface but we still have all the power of our device at our fingertips. Plus, we don’t infringe on any social taboos.

Given the advantages, it’s small wonder that a number of players – primarily Facebook – are seriously plotting for the commercialization of chat based messaging services. There’s one other massive advantage that a stand-alone messaging interface has. The more activities we conduct through any particular interface, the greater the opportunity for personalization. I’ve always maintained that a truly useful “meta-app” should be able to anticipate our intent. That requires interactions across the broad spectrum of our activities. Previously only operating systems offered this type of breadth and because OS’s operate “under the hood,” there were some limitations on the degree of personalization – and through that, commercialization – that was possible. But an app we explicitly choose to use seems to be fair game for commercialization. It’s one of those unwritten social modality rules that advertisers are well advised to be aware of.

Between Messenger and WhatsApp, Facebook has a huge slice of the chat market. They just passed the 900 million user mark for Messenger alone. According to a recent study from the Global Web Index, over 36% of users have used Messenger in the past month, followed closely by WhatsApp at 34%, then Skype at 19%, Line at 10% and Viber and SnapChat at 7% each. These numbers exclude the Chinese market, which is dominated by WeChat, but it remains to be seen if WeChat can expand its base beyond Asia.

And leaked documents from earlier this year indicated that Messenger may soon introduce targeted ads. This hardly qualifies as a security breach. It’s more of a “Duh – ya think?” The rumor mill around the commercialization of Messenger has been going full steam in 2016. If chatting is the UI juggernaut it seems to be, of course we will soon see ads there. WeChat is well down this road, and it seems to be working like a charm, if the recent Smart Car promotion is any example.

 

Dad: Unplugged

I went off the grid last week. It wasn’t intentional. First we changed ISPs and the connectivity we take for granted had a hiccup. We were soon back online, but it was irritating none-the-less.

As luck would have it, it was a warning of what was to come. The main logic board on my laptop packed it in the next day and I was once more cut off. I realized how dependent I am on that little 10 by 15 inch slab of brushed aluminum and electronics. My world was unplugged. It felt like it was a very big deal.

Given that I felt like my right arm was lopped off, you would think this might impact the quality of my Father’s Day. And it did. But it was all for the better. I didn’t have to check emails. There were no task reminders beeping. No Google searches itching to be launched. No Facebook posts to like. I was off the grid. And the day was glorious.

I realized that the things my daughters were thanking me for on last Sunday had little to do with the thousands and thousands of hours I have spent online in my life. They seem to appreciate my sense of humor. That predated the Internet by at least three decades. They like that I’m fairly calm and levelheaded. To be honest, being online generally has a negative correlation with my current state of calmness. I’m a pretty good listener but I’m a much better listener when my attention is not being distracted by a nearby screen. I try to be thoughtful. I’ve previously gone on record as saying that I fear the thoughtfulness of our species is eroding in the world of wired instant gratification. And finally, I try to be a good and ethical person. While being online helps inform those ethics, they are mostly the product of that off-line thoughtfulness I try to set time aside for.

I certainly felt the pain of being off-the-grid, but I realized that much of the urgency that caused that pain was a by-product of my being online. I think technology is creating it’s own cloud of noise that continually intrudes on our lives. These things all seem urgent, but are they important? Are we ignoring other, more important things because of the incessant noise of our digital lives?

If we sat down and made a list of the values that we hold to be important to us, how many of these would require being connected? Would being online make us a better parent? A better husband or wife? A better son or daughter? Probably not.

Technology should be a tool we use to help express the person we are and what we hold to be valuable and true. Technology should not define us. It should not be it’s own truth. It should not create it’s own values. But when technology becomes as ubiquitous as it has become, I fear the line is becoming permanently blurred. Our being online may be changing who we are. I’m pretty sure none of us intend to be distracted, short tempered, disconnected or intellectually shallow but the world is increasingly being filled with such people. I sometimes am one of these people. And I’m usually online when it happens.

This Sunday reminded me that there are things that can wait. This includes about 99% of what we do online.

And there are things that can’t wait. Like children who grow up way too fast. My kids are now 22 and 20. I’m pretty sure neither of them wish their dad had spent more time doing things on his computer.

 

 

 

Where Should Science Live?

Science, like almost every other aspect of our society, is in the midst of disruption. In that disruption, the very nature of science may be changing. And that is bringing a number of very pertinent questions up.

Two weeks ago I took Malcolm Gladwell to task for oversimplifying science for the sake of a good story. I offered Duncan Watts as a counter example. One reader, Ted Wright, came to Gladwell’s defence and in the process of doing so, took a shot at the reputation of Watts, saying with tongue firmly in cheek, “people who are academically lauded often leave an Ivy League post, in this case at Columbia, to go be a data scientist at Yahoo.”

Mr. Wright (yes, I have finally found Mr. Wright) implies this a bad thing, a step backwards, or even an academic “selling out.” (Note: Watts is now at Microsoft where he’s a principal researcher)

Since Wright offered his comment, I’ve been thinking about it. Where should science live? Is it a sell out when science happens in private companies? Should it be the sole domain of universities? I’m not so sure.

Watts is a sociologist. His area of study is network structures and system behaviors in complex environments. His past studies tend to involve analyzing large data sets to identify patterns of behavior. There are few companies who could provide larger or more representative data sets than Microsoft.

peter-2937-X2

Peter Norvig, Director of Research at Google

One such company is Google. And there are many renowned scientists working there. One of them is Peter Norvig, Google’s Director of Research. In a blog post a few years ago where he took issue with Chris Anderson’s Wired article signaling the “End of Theory”, Norvig said:

“(Chris Anderson) correctly noted that the methodology for science is evolving; he cites examples like shotgun sequencing of DNA. Having more data, and more ways to process it, means that we can develop different kinds of theories and models. But that does not mean we throw out the scientific method. It is not “The End of Theory.” It is an important change (or addition) in the methodology and set of tools that are used by science, and perhaps a change in our stereotype of scientific discovery.”

Science as we have known it has always been reductionist in nature. It requires simplification down to a controllable set of variables. It has also relied on a rigorous framework that was most at home in the world of academia. But as Norvig notes, that isn’t necessarily the only viable option now. We live in a world of complexity and the locked down, reductionist approach to science where a certain amount of simplification is required doesn’t really do this world justice. This is particularly true in areas like sociology, which attempts to understand cultural complexity in context. You can’t really do that in a lab.

But perhaps you can do it at Google. Or Microsoft. Or Facebook. These places have reams of data and all the computing power in the world to crunch it. These places precisely meet Norvig’s definition of the evolving methodology of science: “More data, and more ways to process it.”

If that’s the trade-off Duncan Watts decided to make, one can certainly understand it. Scientists follow the path of greatest promise. And when it comes to science that depends on data and processing power, increasing that is best found in places like Microsoft and Google.

 

 

 

 

 

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.

 

 

 

 

 

 

 

 

 

 

 

 

How We Might Search (On the Go)

As I mentioned in last week’s column – Mediative has just released a new eyetracking study on mobile devices. And it appears that we’re still conditioned to look for the number one organic result before clicking on our preferred destination.

But…

It appears that things might be in the process of changing. This makes sense. Searching on a mobile device is – and should be – significantly different from searching on a desktop. We have different intents. We are interacting with a different platform. Even the way we search is different.

Searching on a desktop is all about consideration. It’s about filtering and shortlisting multiple options to find the best one. Our search strategies are still carrying a significant amount of baggage from what search was – an often imperfect way to find the best place to get more information about something. That’s why we still look for the top organic listing. For some reason we still subconsciously consider this the gold standard of informational relevancy. We measure all other results against it. That’s why we make sure we reserve one slot from the three to five available in our working memory (I have found that the average person considers about 4 results at a time) for its evaluation.

But searching on a mobile device isn’t about filtering content. For one thing, it’s absolutely the wrong platform to do this with. The real estate is too limited. For another, it’s probably not what we want to spend our time doing. We’re on the go and trying to get stuff done. This is not the time for pausing and reflecting. This is the time to find what I’m looking for and use it to take action.

This all makes sense but the fact remains that the way we search is a product of habit. It’s a conditioned subconscious strategy that was largely formed on the desktop. Most of us haven’t done enough searching on mobile devices yet to abandon our desktop-derived strategies and create new mobile specific ones. So, our subconscious starts playing out the desktop script and only varies from it when it looks like it’s not going to deliver acceptable results. That’s why we’re still looking for that number one organic listing to benchmark against

There were a few findings in the Mediative study that indicate that our desktop habits may be starting to slip on mobile devices. But before we review them, let’s do a quick review of how habits play out. Habits are the brains way of cutting down on thinking. If we do something over and over again and get acceptable results, we store that behavior as a habit. The brain goes on autopilot so we don’t have to think our way through a task with predictable outcomes.

If, however, things change, either in the way the task plays out or in the outcomes we get, the brain reluctantly takes control again and starts thinking its way through the task. I believe this is exactly what’s happening with our mobile searches. The brain desperately wants to use its desktop habits, but the results are falling below our threshold of acceptability. That means we’re all somewhere in the process of rebuilding a search strategy more suitable for a mobile device.

Mediative’s study shows me a brain that’s caught between the desktop searches we’ve always done and the mobile searches we’d like to do. We still feel we should scroll to see at least the top organic result, but as mobile search results become more aligned with our intent, which is typically to take action right away, we are being side tracked from our habitual behaviors and kicking our brains into gear to take control. The result is that when Google shows search elements that are probably more aligned with our intent – either local results, knowledge graphs or even highly relevant ads with logical ad extensions (such as a “call” link) – we lose confidence in our habits. We still scroll down to check out the organic result but we probably scroll back up and click on the more relevant result.

All this switching back and forth from habitual to engaged interaction with the results ends up exacting a cost in terms of efficiency. We take longer to conduct searches on a mobile device, especially if that search shows other types of results near the top. In the study, participants spent an extra 2 seconds or so scrolling between the presented results (7.15 seconds for varied results vs. 4.95 seconds for organic only results). And even though they spent more time scrolling, more participants ended up clicking on the mobile relevant results they saw right at the top.

The trends I’m describing here are subtle – often playing out in a couple seconds or less. And you might say that it’s no big deal. But habits are always a big deal. The fact that we’re still relying on desktop habits that were laid down over the past two decades show how persistent then can be. If I’m right and we’re finally building new habits specific to mobile devices, those habits could dictate our search behaviors for a long time to come.

In Search- Even in Mobile – Organic Still Matters

I told someone recently that I feel like Rick Astley. You know, the guy that had the monster hit “Never Gonna Give You Up” in 1987 and is still trading on it almost 30 years later? He even enjoyed a brief resurgence of viral fame in 2007 when the world discovered what it meant to be “Rickrolled”

google-golden-triangle-eye-trackingFor me, my “Never Gonna Give You Up” is the Golden Triangle eye tracking study we released in 2005. It’s my one hit wonder (to be fair to Astley, he did have a couple other hits, but you get the idea). And yes, I’m still talking about it.

The Golden Triangle as we identified it existed because people were drawn to look at the number one organic listing. That’s an important thing to keep in mind. In today’s world of ad blockers and teeth gnashing about the future of advertising, there is probably no purer or more controllable environment than the search results page. Creativity is stripped to the bare minimum. Ads have to be highly relevant and non-promotional in nature. Interaction is restricted to the few seconds required to scan and click. If there was anywhere where ads might be tolerated, its on the search results page

But…

If we fully trusted ads – especially those as benign as those that show up on search results – there would have be no Golden Triangle. It only existed because we needed to see that top Organic result and dragging our eyes down to it formed one side of the triangle.

eyetracking2014Fast forward almost 10 years. Mediative, which is the current incarnation of my old company, released a follow up two years ago. While the Golden Triangle had definitely morphed into a more linear scan, the motivation remained – people wanted to scan down to see at least one organic listing. They didn’t trust ads then. They don’t trust ads now.

Google has used this need to anchor our scanning with the top organic listing to introduce a greater variety of results into the top “hot zone” – where scanning is the greatest. Now, depending on the search, there is likely to be at least a full screen of various results – including ads, local listings, reviews or news items – before your eyes hit that top organic web result. Yet, we seem to be persistent in our need to see it. Most people still make the effort to scroll down, find it and assess its relevance.

It should be noted that all of the above refers to desktop search. But almost a year ago, Google announced that – for the first time ever – more searches happened on a mobile device than on a desktop.

eyetracking mobile.pngMediative just released a new eye-tracking study (Note: I was not involved at all with this one). This time, they dove into scan patterns on mobile devices. Given the limited real estate and the fact that for many popular searches, you would have to consciously scroll down at least a couple times to see the first organic result, did users become more accepting of ads?

Nope. They just scanned further down!

The study’s first finding was that the #1 organic listing still captures the most click activity, but it takes users almost twice as long to find it compared to a desktop.

The study’s second finding was that even though organic is still important, position matters more than ever. Users will make the effort to find the top organic result and, once they do, they’ll generally scan the top 4 results, but if they find nothing relevant, they probably won’t scan much further. In the study, 92.6% of the clicks happened above the 4th organic listing. On a desktop, 84% of the clicks happened above the number 4 listing.

The third listing shows an interesting paradox that’s emerging on mobile devices: we’re carrying our search habits from the desktop over with us – especially our need to see at least one organic listing. The average time to scan the top sponsored listing was only 0.36 seconds, meaning that people checked it out immediately after orienting themselves to the mobile results page, but for those that clicked the listing, the average time to click was 5.95 seconds. That’s almost 50% longer than the average time to click on a desktop search. When organic results are pushed down the page because of other content, it’s taking us longer before we feel confident enough to make our choice. We still need to anchor our relevancy assessment with that top organic result and that’s causing us to be less efficient in our mobile searches than we are on the desktop.

The study also indicated that these behaviors could be in flux. We may be adapted our search strategies for mobile devices, but we’re just not quite there yet. I’ll touch on this in next week’s column.

 

 

 

 

 

 

 

 

The World in Bite Sized Pieces

It’s hard to see the big picture when your perspective is limited to 160 characters.

Or when we keep getting distracted from said big picture by that other picture that always seems to be lurking over there on the right side of our screen – the one of Kate Upton tilting forward wearing a wet bikini.

Two things are at work here obscuring our view of the whole: Our preoccupation with the attention economy and a frantic scrambling for a new revenue model. The net result is that we’re being spoon-fed stuff that’s way too easy to digest. We’re being pandered to in the worst possible way. The world is becoming a staircase of really small steps, each of which has a bright shiny object on it urging us to scale just a little bit higher. And we, like idiots, stumble our way up the stairs.

This cannot be good for us. We become better people when we have to chew through some gristle. Or when we’re forced to eat our broccoli. The world should not be the cognitive equivalent of Captain Crunch cereal.

It’s here where human nature gets the best of us. We’re wired to prefer scintillation to substance. Our intellectual laziness and willingness to follow whatever herd seems to be heading in our direction have conspired to create a world where Donald Trump can be a viable candidate for president of the United States – where our attention span is measured in fractions of a second – where the content we consume is dictated by a popularity contest.

Our news is increasingly coming to us in smaller and smaller chunks. The exploding complexity of our world, which begs to be understood in depth, is increasingly parceled out to us in pre-digested little tidbits, pushed to our smartphone. We spend scant seconds scanning headlines to stay “up to date.” And an algorithm that is trying to understand where our interests lie usually determines the stories we see.

This algorithmic curation creates both “Filter” and “Agreement” Bubbles. The homogeneity of our social network leads to a homogeneity of content. But if we spend our entire time with others that think like us, we end up with an intellectually polarized society in which the factions that sit at opposite ends of any given spectrum are openly hostile to each other. The gaps between our respective ideas of what is right are simply too big and no one has any interest in building a bridge across them. We’re losing our ideological interface areas, those opportunities to encounter ideas that force us to rethink and reframe, broadening our worldview in the process. We sacrifice empathy and we look for news that “sounds right” to us, not matter what “right” might be.

This is a crying shame, because there is more thought provoking, intellectually rich content than ever before being produced. But there is also more sugar coated crap who’s sole purpose is to get us to click.

I’ve often talked about the elimination of friction. Usually, I think this is a good thing. Bob Garfield, in a column a few months ago, called for a whoop-ass can of WD 40 to remove all transactional friction. But if we make things too easy to access, will we also remove those cognitive barriers that force us to slow down and think, giving our rationality a change to catch up with impulse? And it’s not just on the consumption side where a little bit of friction might bring benefits. The upside of production friction was that it did slow down streams of content just long enough to introduce an editorial voice. Someone somewhere had to give some thought as to what might actually be good for us.

In other words, it was someone’s job to make sure we ate our vegetables.