Category Archives: Consumer Psychology

Believing is Seeing

First published May 10, 2012 in Mediapost’s Search Insider

In his book “The Believing Brain,” Michael Shermer spends several hundred pages exploring just how powerful beliefs are in forming our view of the world. Beliefs affect not just what we think, but they literally filter what we see and do. And, once in place, beliefs tend to be stubbornly unshakeable. We will go to great extents to defend our beliefs with rationalizations that are often totally or partially fabricated. As Shermer says, “Beliefs come first, explanations for beliefs follow.”

In the world of consumerism, this becomes important in any number of ways. For one, we have beliefs about brands, both positive beliefs and negative ones. And, as previous neuro-research has shown, those beliefs can dramatically alter how we sense the world. In a study at Baylor University, Dr. Read Montague found that the reason Coke devotees are so loyal has almost nothing to do with the actual taste, and much more to do with the Coke brand and what it says about them as people. It’s not the taste of Coke we love; it’s the idea of Coke.

A few weeks ago, I saw a press release from another study that takes this concept even further. The implications for understanding consumer decision-making are dramatic. In the study, Ming Hsu from the University of California, Berkeley, conducted an fMRI test of individuals participating in a multi-strategy economic investment game. As they made decisions based on the actions of their opponents, the parts of the brain that were firing were recorded.

Games of this sort require that the participants learn from events and adjust their strategies according. Here’s an excerpt from the media release: “The researchers focused on two types of learning processes. So-called ‘reinforced-based learning’ (RL) operates through trial and error. In contrast, more sophisticated ‘belief-based learning’ requires decision-makers to anticipate and respond to the actions of others. The researchers computed the areas of the brain where activity tracks these two types of learning. In addition, they discovered that the prefrontal cortex is an area that processes learning about others’ beliefs. The same area also predicts an individual’s propensity to engage in either belief learning or simply RL.”

This is interesting. Reinforced learning is completely reactive in nature. It’s learning after the fact. But if that was the only way we learned, we wouldn’t survive long. So the brain needs to adapt a proactive learning framework, and that framework relies on beliefs as its primary construct. We act based on what we believe the best outcome will be, and alter as necessary based on the success or failure of our decisions.

Now, if we were purely rational and empirical in the way we form those beliefs, this would seem to be logical way to live our lives. But, as we’ve seen, our beliefs are often anything but rational. They are usually formed with little thought or input, and once formed, tend to resolutely remain in place, even in the face of overwhelming evidence to the contrary. If you think I’m exaggerating, consider this: 55% of Americans believe in angels, 39% believe in evolution, 36% believe in global warming and 34% believe in ghosts. I’ll leave it you to decide which of those stats you find most troubling.

The other note in the above excerpt that’s interesting is where this belief mechanism sits in the brain: the prefrontal cortex. This, by the way, was the same area of the brain that lit up in Montague’s test when his subjects knew they were drinking Coke. It’s the one part of the brain that really makes us who we are — quite literally, in fact.

Even in something as fleeting and supposedly unemotional as using a search engine, I’ve seen firsthand the powerful impact a strong brand belief can have. It physically alters what we see on the page of results. We’re just getting preliminary results from our own neuro-scanning study, done with Simon Fraser University, and it appears that looking for a favored brand affects how quickly we can find relevant information, how much time we spend looking at it (counterintuitively, we actually spend less time engaging with favored brands) and how easily distracted we are by other information on the page.

Truly, in consumerism, as in all areas of our lives, our beliefs determine how we see and sense the world around us.

 

Reinventing AIDA

First published April 5, 2012 in Mediapost’s Search Insider

Last week, my column was about how branding differs between search and more traditional brand channels like TV and print. It came from a recent client conversation I had. Rob Schmults from Intent Media added a well-thought-out, on-the-mark comment that deserves a follow-up. There are three points in particular I want to dive deeper into.

“ I think part of the problem in attempting to do so is that branding is all too often an end in and of itself rather than a means.”

Absolutely. Most sales and marketing happens in dozens of disconnected siloes, with little thought about how the actions of one silo affect all the others. Each silo measures progress by its own metric and set its own agenda. The problem is that all these different initiatives are aimed at the same target, but there is little thought as to how each initiative can impact the prospect.

For the past year, I’ve been thinking about how to approach marketing by starting first with creating a common understanding of the buyer’s motivations and behaviors, and then mapping a decision landscape so we can begin to understand the path the buyer takes through it. Much of my writing over the past two years has explored various aspects of this landscape: things like the role of risk and reward, and how they affect the emotions drive our buying decisions.

If branding becomes disconnected and “an end in and of itself,” it starts to lose touch with the chain of “means” that translates brand awareness into action. I saw a particularly acute example of this in a recent meeting: a brand agency presented research showing each point of movement in its unaided brand awareness metric translated into X of additional revenue. I didn’t dispute the finding, as I believed it to be true. What was missing was the long chain of interdependent “means” taking us from there to here. It was like saying that each inch of rain translated into X increase of revenue at the local farmer’s market. We’re jumping from “A” to “Z” without worrying about the 24 intervening letters.

“SEM is clearly a means — it’s a step to driving a conversion event (typically a sale).”

As I mentioned last week, presence on the search page is very often a critical intermediate step between the lofty heights of brand-building and the nitty-gritty of bringing cash in the door. In fact, if you take the time to understand how search is typically used in the purchase process with your typical buyer, it typically falls into the “no-brainer” category, because the prospect has intent and is completely open to being persuaded. Which brings me to Rob’s next point:

“Branding has value, so the war Gordon describes doesn’t have to end with total victory and branding’s extinction.”

As effective as search is, it’s a channel with built-in limitations, including available inventory. If there is no awareness, there is no inventory. People can’t search for something they don’t know exists (at least, not yet). Branding creates awareness, which, if the dots are connected properly, eventually turns into intent. And when intent is present, search is very effective at converting that intent into action. The chain then is Awareness – Intent – Action, which is a variation on the venerable AIDA branding model: Attention – Interest – Desire – Action. If you combine the two you end up with Awareness – Interest – Desire – Intent – Action, or AIDIA. You need branding at the front end, to create awareness, spark interest and create desire. You need search at the back end to allow prospects to act on their intent and discover how to take action.

It’s interesting to note that the original AIDA model jumped all the way from desire to action without much explanation on how to get there. Given that two of the steps –“interest” and “desire” — seem pretty similar, it’s odd that there is such a huge chasm between the domain of branding and the ultimate transaction itself. The AIDA model was definitely biased towards the front end of the marketing process.

I think what digital has done, especially through search, is to provide much more granularity and clarity on the many steps you can take to get from desire to action. But, as Mr. Schmults reminds us, none of these steps is “an end unto itself.” They’re part of a journey. They depend on each other. And each is passed through by your prospects as they travel down the path of purchase.

To come full circle, that was my original point. I’m not calling for the abolition of branding. I’m just asking that we take the time to understand the journey our customers take, and be there at each step.

 

The Psychology of Couponing: Where Agillitee Went Wrong

First published September 22, 2011 in Mediapost’s Search Insider

Is a Groupon model the next big thing for B2B? Apparently not. Or, at least, not now, based on an early trial by a Chicago-based consulting firm, Ajillitee. The company used Groupon to offer $25,000 worth of consulting services at half price.

It was the biggest deal Groupon had ever offered. Hey, keeping $12,500 in your pocket is nothing to sneeze at. And, since buying consulting services is not exactly the same as snagging a half-off lunch coupon, the offer stayed open for three weeks, giving all potential takers plenty of time to act.

But, at the end of the three weeks, the offer disappeared. The result? Nary a sale — not even one. Ajillitee extended the offer on its own website, with the same result.

“We were really trying to test the market,” said Ajillitee CMO Diann Bilderback. “What we learned was that we were early to the game. Groupon’s platform is the platform for this (online coupons), but it’s very consumer-oriented. The rules didn’t align with our kind of sale. Groupon works on snap decisions, but business decisions typically take longer.”

Well, that’s true. But there’s another element at play here. It’s the psychology of the deal itself. Do you really want to buy thousands of dollars of consulting services with a coupon? Even one saving you 50%? Thought not. Pizza? Sure! A pedicure? Maybe.  Half-price yoga? Sign me up. But critical information systems for your company? No thank you!

Coupons work well in certain markets, and not so well in others. For example, would you use a coupon for a doctor or a lawyer?  Probably not, but why? Why a pizza, and not a heart surgeon?

The answer can be summed up in one word: risk. Coupons work extremely well in some well-understood circumstances — to save money on something you were going to buy anyway, or when you want to treat yourself. In a previous series of columns, I talked about how all buying decisions are predicated on a balance of risk and reward.  Reward is the gas pedal, and risk is the brake pedal. If risk is very low, coupons can serve to push you past the tipping point and get you to act immediately rather than “someday.”  They accelerate latent consumer demand.

Coupons can also sway a purchaser from one brand to another, but this typically only happens when risk is minimal. Coupons work in the world of the “pretty good problem,” where all the options are within a range acceptable to the buyer. Think of laundry detergent, cheese slices or hand soap.

Finally, coupons can reduce the barriers keeping you from an indulgent impulse purchase. Coupons play on short-term gratification, introducing the promise of reward, compounded by the dopamine rush that comes from snagging a great deal. It amps up the “reward” portion of buying motivation so that the “risk” limiter doesn’t stand a chance. Groupon, in particular, pulls out all the psychological stops by throwing in equally addictive elements of geographically targeted rewards, limited availability and elemental crowd psychology. If this is the mental landscape you’re playing in, online couponing can definitely stack the odds in your favor.

But alas, B2B purchasing, especially big-ticket items like consulting, meets none of the above criteria. B2B is all about risk avoidance, and there is little reward driving these types of purchases. This came through loud and clear when I was researching my book, “The BuyerSphere Project.” Not only will a coupon offer fail to eliminate risk in these circumstances, it will actually increase risk by raising questions about the credibility of the consulting firm offering the coupon. If the consulting is any good, why are you offering it at half price? Are you that desperate for business?

Apparently, companies like Ajillitee haven’t given up on the concept.  A new rash of B2B oriented online couponing companies like BizyDeal and RapidBuyr are jostling each other in a rush to jump on the Groupon bandwagon.  If the types of deals offered are targeted to low-risk scenarios (copy paper and toner cartridges), they’ll probably work. But don’t expect to get a rush on coupons for consulting services, enterprise-level solutions or other big-ticket, complex purchases. When the buyer (or buyers) is looking at all risk and no personal reward, using couponing is like bringing a knife (or, more appropriately, a spatula) to a gunfight. It’s absolutely the wrong tool for the job.

Marketing in the ZMOT: An Interview with Jim Lecinski

First published July 21, 2011 in Mediapost’s Search Insider

A few columns back, I mentioned the new book from Google, “ZMOT, Winning the Zero Moment of Truth.” But, in true Google fashion, it isn’t really a book, at least, not in the traditional sense. It’s all digital, it’s free, and there’s even a multimedia app (a Vook) for the iPad.

Regardless of the “book” ‘s format, I recently caught up with its author, Jim Lecinski, and we had a chance to chat about the ZMOT concept. Jim started by explaining what the ZMOT is: “The traditional model of marketing is stimulus – you put out a great ad campaign to make people aware of your product, then you win the FMOT (a label coined by Procter and Gamble) — the moment of truth, the purchase point, the shelf. Then the target takes home the product and hopefully it will live up to its promises. It makes whites whiter, brights brighter, the package actually gets there by 10:30 the next morning.

What we came out with here in the book is this notion that there’s actually a fourth node in the model  of equal importance.  We gave the umbrella name to that new fourth moment that happens in between stimulus and shelf: if it’s prior to FMOT, one minus F is zero, ‘Zero Moment of Truth.'”

Google didn’t invent the ZMOT, just as Procter & Gamble didn’t invent the FMOT. These are just labels applied to consumer behaviours. But Google, and online in general, have had a profound effect on a consumer’s ability to interact in the Zero Moment of Truth.

Lecinski: “There were always elements of a zero moment of truth. It could happen via word of mouth. And in certain categories, of course  — washing machines, automotive, certain consumer electronics — the zero moment of truth was won or lost in print publications like Consumer Reports or Zagat restaurant guide or Mobil Travel Guide.

But those things had obvious limitations. One: there was friction — you had to actually get in the car and go to the library. The second is timeliness  — the last time they reviewed wash machines might have been nine months ago. And then the third is accuracy: ‘Well, the model that they reviewed nine months ago isn’t exactly the one I saw on the commercial last night that’s on sale this holiday weekend at Sears.'”

The friction, the timeliness and the simple lack of information all lead to an imbalance in the market place that was identified by economist George Akerlof in 1970 as information asymmetry. In most cases, the seller knew more about the product than the buyer. But the Web has driven out this imbalance in many product categories.

Lecinski: “The means are available to everybody to remove that sort of information asymmetry and move us into a post-Akerlof world of information symmetry. I was on the ad agency side for a long time, and we made the TV commercial assuming information asymmetry. We would say, ‘Ask your dealer to explain more about X, Y, and Z.’

Well, now that kind of a call to action in a TV commercial sounds almost silly, because you go into the dealer and there’s people with all the printouts and their smartphones and everything… So in many ways we are in a post-Akerlof world. Even his classic example of lemons for cars, well, I can be standing on the lot and pull up the CARFAX history report off my iPhone right there in the car lot.”

Lecinski also believes that our current cash flow issues drive more intense consumer research.  “Forty seven percent of U.S. households say that they cannot come up with $2,000 in a 30-day period without having to sell some possessions,” he says. “This is how paycheck to paycheck life is.”

When money is tight, we’re more careful with how we part with it. That means we spend more time in the ZMOT.

Next week, I’ll continue my conversation with Jim, touching on what the online ZMOT landscape looks like, the challenge ZMOT presents marketers and the seven suggestions Jim offers about how to win the Zero Moment of Truth.

There is No Blank Slate in Marketing

First published May 26, 2011 in Mediapost’s Search Insider

In 2002, Steven Pinker wrote a book called “The Blank Slate.” For 509 pages, Pinker argues that when it comes to our brains, and by extension, our minds, there is no such thing as a blank slate. While our destinies are not predetermined by our genes, there are certainly hardwired mechanisms that influence the paths we take.  It’s not solely nature or nurture, but a combination of both. Our minds are neither perfectly malleable plastic (the “blank slate” of behavioralists) nor are they cast in stone. In the end, you cannot deny human nature.

Recently, Google has been spending a lot of time talking about the Zero Moment of Truth, or ZMOT for short. In effect, they’re saying that when it comes to influencing a buyer, Pinker’s argument is also applicable. In marketing, as in psychology, there is no such thing as a blank Ssate.

Former Procter and Gamble CEO A.G. Lafley started this market-driven quest for truth a few years ago when he introduced the first and second moments of truth. The first (abbreviated as the FMOT) was when the customer is standing in front of the store shelf, trying to decide which package to pick up.  It’s been labeled the most important moment in all of marketing. The second moment of truth is what the customer actually experiences when she uses the product.

But Google, led by ZMOT evangelists including U.S. director of sales Jim Lecinski, is stepping backwards from the FMOT to show that there’s a whole chain of activity that now leads up to the FMOT, which has received the collective Zero Moment of Truth label. It appears that we marketers need a crystallization of the ultimate moment of decision where the balance of a consumer’s mind is tipped in favor of our product.  To use the blank slate metaphor, it’s the moment when the “brand” is seared into our cortical grey matter.

Google is correct in drawing attention to the substantial research that precedes most purchases. The biggest change in the marketplace has been the balancing of Akerlof’s information asymmetry in favor of the buyer. No longer does the seller hold all the cards in the typical transaction. We buyers research because we can. It’s the way we not only mitigate risk but also explore the expected utility of a purchase.  These are fundamental components of decision theory.  The mechanisms that drive decision theory haven’t changed, but the information available to us certainly has.

But even with all this access to information, we still approach buying decisions with our all-too-human biases and foibles. Our online research is filtered through brand beliefs and emotional prejudgments. Even on the search results page, that most brand-agnostic of advertising pallets, brand is a powerful predictor of behavior.  If we launch a search by using a generic product category term, we often have a short list of brands we expect to see bubble to the top of the results page. There is no blank slate here waiting to be impressed upon. There is a sometimes-vague notion of brand preference waiting to be confirmed by Google’s algorithm. And we scan the results page guided by our expectations and preconceptions.

The ZMOT landscape is a difficult thing to map. Google is providing some guidance through the new ebook,, with some practical advice for marketers. This should be a valuable addition to the marketer’s virtual bookshelf. Jim is a smart marketer and Google has privileged access to all of our ZMOT behavior. But, as with everything in marketing, there will be no hard and fast rules. One of the challenges in producing repeatable results in an experimental setting is to control the variables that could impact outcomes. But one of those variables is human nature, and when the experimental setting is marketing, you’re just going to have to accept the fact that there will always be a significant degree of unpredictability.

High Risk & High Reward: Fully Engaged Buying

First published January 13, 2011 in Mediapost’s Search Insider

Last week I talked about High Risk/Low Reward purchases and said that when you’re in this quadrant, your “buying brain is driving the brake pedal through the floorboards.” True, but at least there is some consistency in the behaviors: risk trumps all.

When you’re navigating through a High Risk/High Reward purchase, you can be forgiven for appearing schizophrenic in your decision-making process. We swing back and forth from logic to what can only be described as love, with the volatility of a pendulum. If ever we were fully engaged in a buying process, this is the time. It’s all hands on deck for this purchase.

High Risk/High Reward purchases include new homes, vehicles, expensive toys and extravagant vacations. We spend a lot — but we also expect a lot. Game theorists and economists use a term called expected utility to describe our envisioned probable outcome from a decision.  It’s a pretty colorless term, and in theoretical terms, the lack of color in the label reflects the lack of emotion in the decision. Here, we weigh risk against logical outcomes — for example, the expected payoff from a wager.

Expected utility plays a major role in high reward purchases, but here, utility is dramatically colored with emotion. A car is not just about solving your transportation challenges (the expected utility). It’s about mid-life crises, keeping ahead of your brother-in-law, and the image of airing out your thinning hair on a cruise down the California coast. This, in many cases, is high-octane fantasizing, and there’s little logic to it.

Anywhere you find emotional rewards, you’ll find brands. And in these types of purchases of manufactured goods, you’ll inevitably find a brand turf war. Our complex relationships with the brands that define us are born in high-emotional-reward purchase scenarios. And in these types of purchases, the increased role of risk creates a delicious ambiguity in our rationalization of brand love.  We buy brands because of an emotional connection that comes straight from our limbic core (really, in this world of “pretty good” products, there is little to differentiate one brand from another), but our thinking brain kicks into overdrive to explain the logic behind our choice. We can’t seem to grasp the reality that logic had little to do with it.

These highly engaged purchases leave a vast and deep online footprint. We spend hours online, theoretically researching a purchase, but in many cases, we’re pre-rewarding ourselves through envisioning the acquisition of the reward. We use vehicle configurators and agonize over option packages and interior color schemes. We do endless virtual walk-throughs of homes. And we plan our dream vacation in minute detail, balancing recommendations from TripAdvisor and other sites against the limits of our budget and itinerary. Fantasizing begins online, and we have to allow for this in our marketing strategy.

When your product falls into this category, you want to support the fantasy as much as possible, utilizing digital media that encourages an emotional connection. Video and interactivity are a key part of the mix. We reach out on social media sites not just to manage risk by getting the opinions of others, but also to live vicariously through capturing the experiences of those who have bought before us.

As one would imagine, giving the depth and complexity of this online engagement, the search paths taken are equally convoluted. Search will be used repeatedly through the purchase process and for differing intents. There is no “one size fits all” approach here. In these purchase scenarios, a deep qualitative understanding of prospect behaviors will separate the great marketers from the herd.

High Risk & Low Reward: Buying with the Brakes On

First published January 6, 2011 in Mediapost’s Search Insider

After a brief detour last week (thanks for the many heartfelt messages for my Uncle Jim) I want to return to my exploration of the role of risk and reward in our online consumer behaviors.  We looked at the low risk/low reward and low risk/high reward quadrants. Today, we’ll continue by exploring the High Risk/Low Reward quadrant.

As a brief recap, our brains tend to apply brakes or step on the gas when steering through a buying decision based on the degree of risk and the promise of reward inherent in the decision. This dictates the nature of the consumer journey we take – both in terms of paths chosen and duration. I’ve talked before about the concept of bounded rationality, or the threshold of logical consideration we give to any decision. As behavioral economists have found, in almost every human decision, ration is modified by gut instinct. We call this “satisficing.” The only question, it seems, is the balance between the two. Risk and reward are hugely influential in determining our “satisficing” threshold for any purchase decision.

High Risk/Low Reward

In the last column, I described Low Risk/High Reward indulgences as “all gas and little brake.” The chocolate bar temptingly placed at the grocery store checkout aisle is just one example. High Risk/Low Reward purchases live at the opposite end of buyer behavior spectrum. Here your buying brain is driving the brake pedal through the floorboards. Consider this the consumer equivalent of teaching your teenager to drive.

In our personal lives, it includes such joyless purchases as insurance (all kinds, and the higher the premiums, the greater the perceived risk), financial planning, big-ticket home maintenance (not fun stuff like renovations, but replacing a roof, fixing a sagging foundation or getting a new furnace), car repairs and professional services such as lawyers or accountants.

Ironically, each of these types of purchases is usually triggered by either legislation  (car insurance), a non-negotiable need (a leaking roof) or the greater perceived risk of doing nothing (not having a lawyer in a divorce). If there wasn’t some impending reason to buy, we never would. There are no positive emotions at play here, only negative ones.

There is another type of purchase that falls into this quadrant that impacts many of our clients – bigger ticket B2B purchases. Indeed, I wrote an entire book on the subject : “The BuyerSphere Project.”

The lack of positive reward means our consumer research is all aimed at one thing and one thing only: the elimination of risk. In this scenario, risk has several dimensions: price, reliability and, because many of these purchases are predicated on avoiding future risk, balancing current risk against future risk. There is another aspect of risk, which is not commonly identified in these types of purchases: the risk of change. Often, big-ticket purchases require you to make changes in your routine, which involves change management.

When we look at what online behaviors might be for a High Risk/Low Reward purchase, we see risk mitigation as the key factor. Sites that allow buyers to compare several alternatives tend to be very popular, especially if they offer some type of rating. Online aggregators and directories tend to thrive in this quadrant, as they focus on quantifying pricing-based risk.

Because there is little or no emotional reward in these purchases, there is little in the way of positive emotional engagement.  As somebody once told me, nobody ever threw a party to buy car insurance.  Social media engagement is restricted to verifying you don’t get burned in the purchase. Rich-media demonstrations will be passed over in favor of quick comparison charts. And if you are engaging the senses, you’ll be capitalizing on fear of risk rather than a promise of reward.

Next week, we’ll make our way to the last quadrant of the matrix: High Risk/High Reward.

Risk, Reward and the Buying Matrix

First published December 23, 2010 in Mediapost’s Search Insider

Last week, I explored how two parts of our brain, the nucleus accumbens and the anterior insula, are key in driving our buying behaviors. I compared them to the gas pedal and brake of our buying “engine.” The balance between the two is key to understanding how we are driven towards our ultimate decisions. The nucleus accumbens drives our anticipation of an emotional reward, and the anterior insula creates anxiety around areas of risk.

As it turns out, you can plot the two as the axes of a matrix on which, theoretically, you could plot any purchase. The four quadrants would be, starting in the lower left and going clockwise: low risk/low reward,  low risk/high reward, high risk/high reward and, finally, high risk/low reward. Let’s take a deeper dive in each quadrant to see what kind of purchases fall into each.

Low Risk/Low Reward

This is the stuff of everyday life. If you’re a “to-do” list kind of person, these types of purchases would probably be on that list. Think of household supplies like toilet paper and laundry detergent, or the milk, dry goods, etc. that make up a large percentage of your grocery list. This is the world of consumer packaged goods. The only real exceptions are those products that represent personal indulgences, like a steak or your favorite premium ice cream.

There is a huge piece of the B2B market that falls into this category as well: office  and industrial supplies, parts and other often-purchased items.

There is no gas pedal and no brake on these purchases. While the low prices remove any real risk, these are also not the types of shopping trips you look forward to all day. You simply have to get them done. This means the personal engagement with the actual act of purchasing will be minimal. Here, we are creatures of habit. We go to the same places to buy the same things because we really don’t want to invest any more time than is necessary to get the job done. If you compete in this space, you have one strategy and one strategy only: provide the fastest and easiest path to purchase.

Low Risk/High Reward

Here, we have our little indulgences; the day-to-day treats that make life worth living. The entire premium consumer product industry lives squarely in this quadrant: premium desserts, pre-made meals, beauty care products, wines, craft beers and, moving into slightly greater degrees of risk, clothes, accessories, shoes, costume jewelry and electronic gadgets.  This is also where you’d find CDs, DVDs and books. It’s in this quadrant where Amazon rules.

These purchases are all gas and little brake.  If you ever make a purchase on impulse, it’s almost guaranteed to fall into this part of the behavioral matrix.  When women plan shopping trips, it’s to indulge their reward center with these types of purchases. But men are also vulnerable to the siren call of the indulgent purchase: gadgets, tools, sporting goods, electronic games — and, for the metro-men amongst us, clothes and accessories. By the way, manicures, pedicures and spa visits all qualify, along with movies, concerts and dining out.

This quadrant is particularly timely this time of year, because when you buy a gift for someone, you hope you’ve hit this quadrant. The tough part is knowing your recipients well enough to figure out what will kick their nucleus accumbens into high gear.

While the degree of risk doesn’t merit a lot of intensive research, here the buying can be as much fun as the owning, which generally means a higher degree of engagement on the part of the buyer. Shopping environments that enhance the reward part of the equation will be attractive. Buyers are susceptible to suggestion, especially if it comes through our social connections. And brand affinities are powerful here.

In my next column, I’ll provide some examples of the other two quadrants to see what kind of purchases fall into each. Then, we’ll see how each of these buying scenarios might map on the online consumer landscape.

The Insula and The Accumbens: Driving Online Behavior

First published December 16, 2010 in Mediapost’s Search Insider

One of the more controversial applications of new neurological scanning technologies has been a quest by marketers for the mythical “buy button” in our brains. So far, no magical nook or cranny in our cranium has given marketers the ability to foist whatever crap they want on it, but a couple of parts of the brain have emerged as leading contenders for influencing buying behavior.

The Nucleus Accumbens: The Gas Pedal

The nucleus accumbens has been identified as the reward center of the brain. Although this is an oversimplification, it definitely plays a central role in our reward circuit. Neuroscanning studies show that the nucleus accumbens “lights up” when people think about things that have a reward attached: investments with big returns, buying a sports car or participating in favorite activities. Dopamine is released and the brain benefits from a natural high. Emotions are the drivers of human behavior — they move us to action (the name comes from the Latin movere, meaning “to move”). The reward circuit of the brain uses emotions to drive us towards rewards, an evolutionary pathway that improves our odds for passing along our genes.

In consumer behaviors, there are certain purchase decisions that fire the nucleus accumbens. Anything that promises some sort of emotional reward can trigger our reward circuits. We start envisioning what possession would be like: the taste of a meal, the thrill of a new car, the joy of a new home, the indulgence of a new pair of shoes. There is strong positive emotional engagement in these types of purchases.

The Anterior Insula: The Brake

But if our brain was only driven by reward, we would never say no. There needs to be some governing factor on the nucleus accumbens. Again, neuroscanning has identified a small section of the brain called the anterior insula as one of the structures serving this role.

If the nucleus accumbens could be called the reward center, the anterior insula could be called the Angst Center of our brains. The insula is a key part of our emotional braking system.  Through the release of noradrenaline and other neurochemicals, it creates the gnawing anxiety that causes us to slow down and tread carefully. In extreme cases, it can even evoke disgust. If the nucleus accumbens drives impulse purchasing, it’s the anterior insula that triggers buyer’s remorse.

The Balance Between the Two 

Again, at the risk of oversimplification, these two counteracting forces drive much of our consumer behavior. You can look at any purchase as the net result of the balance between them; a balancing of risk and reward, or in the academic jargon, prevention and promotion. High-reward and low-risk purchases will have a significantly different consumer behavior pattern than low-reward and high-risk purchases. Think about the difference between buying life insurance and a new pair of shoes. And because they have significantly different behavior profiles, the online interactions that result from these purchases will look quite different as well. In the next column, I’ll look at the four different purchase profiles (High Risk/High Reward, High Risk/Low Reward, Low Risk/High Reward and Low Risk, Low Reward) and look at how the online maps might look in each scenario.

Is the Internet Making Us Stupid – or a New Kind of Smart?

First published September 9, 2010 inn Mediapost’s Search Insider

As I mentioned a few weeks back, I’m reading Nicholas Carr’s book “The Shallows.” His basic premise is that our current environment, with its deluge of available information typically broken into bite-sized pieces served up online, is “dumbing down” our brains.  We no longer read, we scan. We forego the intellectual heavy lifting of prolonged reading for the more immediate gratification of information foraging. We’re becoming a society of attention-deficit dolts.

It’s a grim picture, and Carr does a good job of backing up his premise. I’ve written about many of these issues in the past. And I don’t dispute the trends that Carr chronicles (at length). But is Carr correct is saying that online is dulling our intellectual capabilities, or is it just creating a different type of intelligence?

While I’m at it, I suspect this new type of intelligence is much more aligned with our native abilities than the “book smarts” that have ruled the day for the last five centuries. I’m an avid reader (ironically, I’ve been reading Carr’s book on an iPad) and I’m the first to say that I would be devastated if reading goes the way of the dodo.  But are we projecting our view of what’s “right” on a future where the environment (and rules) have changed?

A Timeline of Intellect

If you expand your perspective of human intellectualism to the entire history of man, you find that the past 500 years have been an anomaly. Prior to the invention of the printing press (and the subsequent blossoming of intellectualism) our brains were there for one purpose: to keep us alive. The brain accomplished this critical objective through one of three ways:

Responding to Danger in Our Environments

Reading is an artificial human activity. We have to train our brains to do it. But scanning our surroundings to notice things that don’t fit is as natural to us as sleeping and eating. We have sophisticated, multi-layered mechanisms to help us recognize anomalies in our environment (which often signal potential danger).  I believe we have “exapted” these same mechanisms and use them every day to digest information presented online.

This idea goes back to something I have said repeatedly: Technology doesn’t change behavior, it enables behavior to change. Change comes from us pursuing the most efficient route for our brains. When technology opens up an option that wasn’t previously available, and the brain finds this a more natural path to take, it will take it. It may seem that the brain is changing, but in actuality it’s returning to its evolutionary “baseline.”

If the brain has the option of scanning, using highly efficient inherent mechanisms that have been created through evolution over thousands of generations, or reading, using jury-rigged, inefficient neural pathways that we’ve been forced to build from scratch through our lives, the brain will take the easiest path. The fact was, we couldn’t scan a book. But we can scan a Web site.

Making The Right Choices

Another highly honed ability of the brain is to make advantageous choices. We can consider alternatives using a combination of gut instincts (more than you know) and rational deliberation (less than you think) and more often than not, make the right choice. This ability goes in lock step with the previous one, scanning our environment.

Reading a book offers no choices. It’s a linear experience, forced to go in one direction. It’s an experience dictated by the writer, not the reader. But browsing a Web site is an experience littered with choices.  Every link is a new choice, made by the visitor. This is why we (at my company) have continually found that a linear presentation of information (for example, a Flash movie) is a far less successful user experience than a Web site where the user can choose from logical and intuitive navigation options.

Carr is right when he says this is distracting, taking away from the focused intellectual effort that typifies reading. But I counter with the view that scanning and making choices is more naturally human than focused reading.

Establishing Beneficial Social Networks

Finally, humans are herders. We naturally create intricate social networks and hierarchies, because it’s the best way of ensuring that our DNA gets passed along from generation to generation. When it comes to gene propagation, there is definitely safety in numbers.

Reading is a solitary pursuit. Frankly, that’s one of the things avid readers treasure most about a good book, the “me” time that it brings with it. That’s all well and good, but bonding and communication are key drivers of human behavior. Unlike a book, online experiences offer you the option of solitary entertainment or engaged social connection. Again, it’s a closer fit with our human nature.

From a personal perspective, I tend to agree with most of Carr’s arguments. They are a closer fit with what I value in terms of intellectual “worth.” But I wonder if we fall into a trap of narrowed perspective when we pass judgment on what’s right and what’s not based on what we’ve known, rather than on what’s likely to be.

At the end of the day, humans will always be human.