Category Archives: Customer Relationships

How Can Humans Co-Exist with Data?

First published February 6, 2014 in Mediapost’s Search Insider

tumblr_inline_mpt49sqAwV1qz4rgpLast week, I talked about our ability to ignore data. I positioned this as a bad thing. But Pete Austin called me on it, with an excellent counterpoint:

“Ignoring Data is the most important thing we do. Only the people who could ignore the trees and see the tiger, in real-time, survived to become our ancestors.”

Too true. We’re built to subconsciously filter and ignore vast amounts of input data in order to maintain focus on critical tasks, such as avoiding hungry tigers. If you really want to dive into this, I would highly recommend Daniel Simons and Christopher Chabris’s “The Invisible Gorilla.” But, as Simons and Chabris point out, with example after example of how our intuitions (which we use as filters) can mislead us, this “inattentional blindness” is not always a good thing. In the adaptive environment in which we evolved, it was pretty effective at keeping us alive.  But in a modern, rational environment, it can severely inhibit our ability to maintain an objective view of the world.

But Pete also had a second, even more valid point:

“What you need to concentrate on now is “curated data”, where the junk has already been ignored for you.”

And this brought to mind an excellent example from a recent interview I did as background for an upcoming book I’m working on.  This idea of pre-filtered, curated data becomes a key consideration in this new world of Big Data.

Nowhere are the stakes higher for the use of data than in healthcare. It’s what lead to the publication of a manifesto in 1992 calling for a revolution in how doctors made life and death decisions. One of the authors, Dr. Gordon Guyatt, coined the term “Evidence based medicine.” The rational is simple here. By taking an empirical approach to not just diagnosis but also to the best prescriptive path, doctors can rise above the limitations of their own intuition and achieve higher accuracy. It’s data driven decision-making, applied to health care. Makes perfect sense, right? But even though Evidence based medicine is now over 20 years old, it’s still difficult to consistently apply at the doctor to individual patient level.

I had the chance to ask Dr. Guyatt why this was:

“Essentially after medical school, learning the practice of medicine is an apprenticeship exercise and people adopt practice patterns according to the physicians who are teaching them and their role models and there is still a relatively small number of physicians who really do good evidence-based practice themselves in terms of knowing the evidence behind what they’re doing and being able to look at it critically.”

The fact is, a data driven approach to any decision-making domain that previously used to rely on intuition just doesn’t feel – well – very intuitive. It’s hard work. It’s time consuming. It, to Mr. Austin’s point, runs directly counter to our tiger-avoidance instincts.

Dr. Guyatt confirms that physicians are not immune to this human reliance on instinct:

“Even the best folks are not going to do it – maybe the best folks – but most folks are not going to be able to do that very often.”

The answer in healthcare, and likely the answer everywhere else where data should back up intuition, is the creation of solid data based resources, which adhere to empirical best practices without requiring every single practitioner to do the necessary heavy lifting. Dr. Guyatt has seen exactly this trend emerge in the last decade:

“What you need is preprocessed information. People have to be able to identify good preprocessed evidence-based resources where the people producing the resources have gone through that process well.”

The promise of curated, preprocessed data is looming large in the world of marketing. The challenge is that, unlike medicine, where data is commonly shared and archived, in the world of marketing much of the most important data stays proprietary. What we have to start thinking about is a truly empirical, scientific way to curate, analyze and filter our own data for internal consumption, so it can be readily applied in real world situations without falling victim to human bias.

360 Degrees of Seperation

First published December 5, 2013 in Mediapost’s Search Insider

IMT_iconsIn the past two decades or so, a lot of marketers talked about gaining a 360-degree view of their customers.  I’m not exactly sure what this means, so I looked it up.  Apparently, for most marketers, it means having a comprehensive record of every touch point a customer has had with a company. Originally, it was the promise of CRM vendors, where anyone in an organization, at any time, can pull up a complete customer history.

So far, so good.

But like many phrases, it’s been appropriated by marketers and its meaning has become blurred. Today, it’s bandied about in marketing meetings, where everyone nods knowingly, confident in the fact that they are firmly ensconced in the customer’s cranium and have all things completely under control. “We have a 360-degree view of our customers,” the marketing manager beams, and woe to anyone that dares question it.

But there are no standard criteria that you have to meet before you use the term. There is no rubber-meets-the-road threshold you have to climb over. No one knows exactly what the hell it means. It sure sounds good, though!

If a company is truly striving to build as complete a picture of their customers as possible, they probably define 360 degrees as the total scope of a customer’s interaction with their company. This would follow the original CRM definition. In marketing terms, it would mean every marketing touch point and would hopefully extend through the customer’s entire relationship with that company. This would be 360-degrees as defined by Big Data.

But is it actually 360 degrees? If we envision this as a Venn diagram, we have one 360-degree sphere representing the mental model of customers, including all the things they care about. We have another 360-degree sphere representing the footprint of the company and all the things they do. What we’re actually looking at then, even in an ideal world, is where those two spheres intersect. At best, we’re looking at a relatively small chunk of each sphere.

So let’s flip this idea on its head. What if we redefine 360 degrees as understanding the customer’s decision space? I call this the Buyersphere. The traditional view of 360 degrees is from the inside looking out, from the company’s perspective. The Buyersphere moves the perspective to that of the customer, looking from the outside in. It expands the scope to include the events that lead to consideration, the competitive comparisons, the balancing of buying factors, interactions with all potential candidates and the branches of the buying path itself.  What if you decide to become the best at mapping that mental space?  I still wouldn’t call it a 360-degree view, but it would be a view that very few of your competitors would have.

One of the things that I believe is holding Big Data back is that we don’t have a frame within which to use Big Data. Peter Norvig, chief researcher for Google, outlined 17 warning signs in experimental design and interpretation. One was lack of a specific hypothesis, and the other was a lack of a theory. You need a conceptual frame from which to construct a theory, and then, from that theory, you can decide on a specific hypothesis for validation. It’s this construct that helps you separate signal from noise. Without the construct, you’re relying on serendipity to identify meaningful patterns, and we humans have a nasty tendency to mistake noise for patterns.

If we look at opportunities for establishing a competitive advantage, redefining what we mean by understanding our customers is a pretty compelling one. This is a construct that can provide a robust and testable space within which to use Big Data and other, more qualitative, approaches. It’s relatively doable for any organization to consolidate its data to provide a fairly comprehensive “inside-out” view of customer’s touch points. Essentially, it’s a logistical exercise. I won’t say it’s easy, but it is doable.  But if we set our goal a little differently, working to achieve a true “outside-in” view of our company, that sets the bar substantially higher.

360 degrees? Maybe not. But it’s a much broader view than most marketers have.

Don’t Use Technology as an Excuse for Bad Customer Service

First published April 11, 2013 in Mediapost’s Search Insider

We all have our horror stories about online customer service. Just in the past two weeks, I added two more to my collection.

After placing an online order with Costco, I’ve had to wait (at this point) a week after the promised delivery date to get the stuff I bought and paid for. Three separate attempts to contact the shipper have been unsuccessful – the first two were simply ignored and the last one resulted in the shifting of blame to the local agent, who was supposed to call me to resolve the issue. That was 48 hours ago, and still no call. I suppose I could invest more of my time to harass them until they actually respond, but frankly, at this point, I just want to wash my hands of the whole transaction.

With the other example, the damage was done before I ever made the purchase, thank heavens. I was planning a trip using Kayak and sorted my booking options according to price. There, in the same format as the search results, was an ad from a well-known travel brand. I assumed the ad would offer me a rate that was comparable to the other results above and below it. After all, I had sorted by rate, so position should equate to price.  In fact, the ad offered a lower rate than the search result immediately above it. The ad worked – kind of. I did click it, only to find the promised offer evaporated and my actual rate was four times the price of the competitor. I quickly clicked back to Kayak to book with one of the competitors, having learned to ignore any further ads from this particular company.

Here’s the troubling thing. Most of you will say, “So what?” These two stories are not that unusual. We’ve come to accept this level of service online as the norm. The online market place is SNAFU – in it ‘s most literal sense. My question is, why? Why do sellers feel they can get away with this, and, what’s more important, why do we, the customer, accept it as the new normal?

Here’s my hypothesis. We accept it because we can’t look the offending party in the eye. They do it because they don’t have to answer for it face to face. Anonymity and arm’s length transactions prevent crappy business-people and their practices from being held accountable.

We humans have a long list of subtle and not so subtle things we can do to ensure fairness in transactions – but they all evolved to work face to face. Over our history, we have evolved many social “governors” that play on our emotions. In general, they work pretty well, as long as we’re all in the same room, tent, hut, tribal circle or canoe. But these governors, 10 thousand generations in the making, are being rendered ineffective by technology in the space of just one generation. We’re hiding behind a computer screen because we can.

I’m sure the customer service agent at the courier company would think twice about promising me a shipment on a certain day – a promise she had no intention of keeping – if she was making that promise to my face and she knew I’d be back the day after the parcel failed to show up.

And I find it hard to imagine that a hotel, airline or car rental firm would offer me a rate that was totally fictitious if they knew the actual cost was going to be three or four times what they offered. At least, I find it hard to imagine they’d do that if I was standing across the counter from them at the time.

So why, I ask again, do we settle for less in our arm’s length transactions? I believe every online company should use the BIP rule of thumb – do business as if you’re doing Business In Person. Assume you’re looking at the person you’re dealing with in the eye. Treat them as if they’re your next-door neighbor. Before you screw them over, assume you’ll have to say “Good morning” every day as you hop in your car and go to work.

You have a conscience for a reason – use it for what it was intended for.

Disintermediation of a New, More Connected World

First published November 1, 2012 in Mediapost’s Search Insider

On Monday, one of the byproducts of disintermediation hit me with the force of, well — a hurricane, to be exact. We are more connected globally than ever before.

This Monday and Tuesday, three different online services I use went down because of Sandy. They all had data centers on the East Coast.

Disintermediation means centralization, which means that we will have more contact with people and businesses that spread across the globe.

The laptop I’m writing this column on (a MacBook Pro) was recently ordered from Apple. I was somewhat amazed to see the journey it took on its way to me. It left a factory in China, spent a day in Shanghai, then passed through Osaka, Japan on its way to Anchorage, Ala. From there it was on to Louisville, Ky. (ironically, the flight path probably went right over my house), then back to Seattle, Vancouver and then to my front door. If my laptop were a car, I would have refused delivery – it already had a full year’s worth of miles on it before I even got to use it.

A disintermediated world means a more globally reliant world. We depend on assembly factories in Taiyuan (China), chip factories in Yamaguchi (Japan), call centers in Pune (India), R&D labs in Hagenberg (Austria), industrial designers in Canberra (Australia) and yes, data centers in lower Manhattan. When workers brawl, tsunamis hit, labor strikes occur and tropical storms blow ashore, even though we’re thousands of miles away, we feel the impact. We no longer just rely on our neighbors, because the world is now our neighborhood.

This adds a few new wrinkles to the impacts of disintermediation, both positive and negative.

On the negative side, as we saw forcefully demonstrated this week, is the realization that our connected markets are more fragile than ever. As production becomes concentrated due to various global advantages, it is more vulnerable to single-point failures. One missing link and entire networks of co-dependent businesses go down. This lack of redundancy will probably be corrected in time, but for now, it’s what we have to live with.

But, on the positive side, our new connectedness also means we have to have interest in the well being of people that would have been out of our scope of consciousness just a mere decade ago. We care about the plight of the average worker at Foxconn, if for no other reason than it will delay the shipment of our new Mac. I exaggerate here (I hope we’re not that blasé about human rights in China) to make a point: when we have a personal stake in something, we care more. When you depend on someone for something important to you, you tend to treat them with more consideration. Thomas Friedman, in his book “The World is Flat,” called it the Dell Theory of Conflict Prevention:

“The Dell Theory stipulates: No two countries that are both part of a major global supply chain, like Dell’s, will ever fight a war against each other as long as they are both part of the same global supply chain.”

To all of you who weathered the storm, just know that you’re not alone in this. We depend on you – so, in turn, feel free to depend on us.

The Balancing of Market Information

First published October 25, 2012 in Mediapost’s Search Insider

In my three previous columns on disintermediation, I made a rather large assumption: that the market will continue to see a balancing of information available both to buyers and sellers. As this information becomes more available, the need for the “middle” will decrease.

Information Asymmetry Defined

Let’s begin by exploring the concept of information asymmetry, courtesy of George Akerlof, Michael Spence and Joseph Stiglitz.  In markets where access to information is unbalanced, bad things can happen.

If the buyer has more information than the seller, then we can have something called adverse selection. Take life and health insurance, for example. Smokers (on the average) get sick more often and die younger than non-smokers. If an insurance company has 50% of policyholders who are smokers, and 50% who aren’t, but the company is not allowed to know which is which, it has a problem with adverse selection. It will lose money on the smokers so it will increase rates across the board. The problem is that non-smokers, who don’t use insurance as much, will get angry and may cancel their policy. This will mean the “book of business” will become even less profitable, driving rates even higher.   The solution, which we all know, is simple: Ask policy applicants if they smoke. Imperfect information is thus balanced out.

If the seller has more information than the buyer, then we have a “market for lemons” (the name of Akerlof’s paper). Here,  buyers are  assuming risk in a purchase without knowingly accepting that risk, because they’re unaware of the problems that the seller knows exists. Think about buying a used car, without the benefit of an inspection, past maintenance records or any type of independent certification. All you know is what you can see by looking at the car on the lot. The seller, on the other hand, knows the exact mechanical condition of the car. This factor tends to drive down the prices of all products –even the good ones — in the market, because buyers assume quality will be suspect. The balancing of information in this case helps eliminates the lemons and has the long-term effect of improving the average quality of all products on the market.

Getting to Know You…

These two forces — the need for sellers to know more about their buyers, and the need for buyers to know more about what they’re buying — are driving a tremendous amount of information-gathering and dissemination. On the seller’s side, behavioral tracking and customer screening are giving companies an intimate glimpse into our personal lives. On the buyer’s side, access to consumer reviews, third-party evaluations and buyer forums are helping us steer clear of lemons. Both are being facilitated through technology.

But how does disintermediation impact information asymmetry, or vice versa?

If we didn’t have adequate information, we needed some other safeguard against being taken advantage of. So, failing a rational answer to this particular market dilemma, we found an irrational one: We relied on gut instinct.

Relying on Relationships

If we had to place our trust in someone, it had to be someone we could look in the eye during the transaction. The middle was composed of individuals who acted as the face of the market. Because they lived in the same communities as their customers, went to the same churches, and had kids that went to the same schools, they had to respect their markets. If they didn’t, they’d be run out of town. Often, their loyalties were also in the middle, balanced somewhere between their suppliers and their customers.

In the absence of perfect information, we relied on relationships. Now, as information improves, we still want relationships, because that’s what we’ve come to expect. We want the best of both worlds.

Will Customer Service Disappear with the Elimination of the “Middle”?

First published October 18, 2012 in Mediapost’s Search Insider

In response to my original column on disintermediation, Joel Snyder worried about the impact on customer service: The worst casualty is relationships and people skills. As consumers circumvent middlemen, they become harder to deal with. As merchants become more automated, customer service people have less power and less skills (and lower pay).

Cece Forrester agreed: Disintermediation doesn’t just let consumers be rude. It also lets organizations treat their customers rudely.

So, is rudeness an inevitable byproduct of disintermediation?

Rediscovering the Balance between Personalization and Automation

Technology introduces efficiency. It streamlines the “noise” and marketplace friction that comes with human interactions. But with that “noise” comes all the warm and fuzzy aspects of being human. It’s what both Joel and Cece fear may be lost with disintermediation. I, however, have a different view.

Shifts in human behavior don’t typically happen incrementally, settling gently into the new norm. They swing like a pendulum, going too far one way, then the other, before stability is reached. Some force — in this case, new technological capabilities — triggers the change. As society moves, the force, plus momentum, moves too far in one direction, which triggers an opposing force which pushes back against the trend. Eventually, balance is reached.

A Redefinition of Relationships

In this case, the opposing force will be our need for those human factors. Disintermediation won’t kill relationships. But it will force a redefinition of relationships. The challenge here is that existing market relationships were all tied to the “Middle,” which served as the bridge between producers and consumers. Because the Middle owned the end connection with the customer, it formed the relationships that currently exist. Now, as anyone who has experienced bad customer service will tell you, some who lived in the Middle were much better at relationships than others. Joel and Cece may be guilty of looking at our current paradigm through rose-colored glasses. I have encountered plenty of rudeness even with the Middle firmly in place.

But it’s also true that producers, who suddenly find themselves directly connected with their markets, have little experience in forming and maintaining these relationships. However, the market will eventually dictate new expectations for customer service, and producers will have to meet those expectations. One disintermediator, Zappos, figured that out very early in the game.

Ironically, disintermediation will ultimately be good for relationships. Feedback loops are being shortened. Technology is improving our ability to know exactly what our customers think about us. We’re actually returning to a much more intimate marketplace, enabled through technology. Producers are quickly educating themselves on how to create and maintain good virtual relationships. They can’t eliminate customer service, because we, the market, won’t let them. It will take a bit for us to find the new normal, but I venture to say that wherever we find it, we’ll end up in a better place than we are today.

The Good Side of Disintermediation

First published October 11, 2012 in Mediapost’s Search Insider

You know you’ve found a good topic for a column when half the comments are in support of whichever side of the topic you’ve lined up on, and half are against it. Such was the case last week when I wrote about disintermediation.

This week, I promised to present the positives of disintermediation. I’ll do so at the macro level, because there are market forces at work that will drive massive change at every level. But there were also some very interesting questions raised last week by readers:

  • Is disintermediation killing relationships and our ability to deal with people?
  • Are the benefits of disintermediation tied to social status, driving the haves and the have-nots even further apart?
  • Is more information good for the market, or does it just create more noise for us to wade through?
  • What will the social cost of disintermediation be?
  • What are the global implications of disintermediation?
  • In knowledge-based professional markets where experience and expertise are essential (i.e. health care) what role does disintermediation play?
  • Are we just replacing one type of “middle” with another (for example, online travel agencies for traditional travel agencies)?

Each of these questions is worthy of a column itself, so I’ll file those away for future writing over the next few weeks. But today, let’s focus on the silver lining inside the disintermediation cloud.

I’ve written about Kondratieff waves (also K waves) before. In the world of the macro-economist (who are of mixed opinion about the validity of the theory), these are massive waves of disruption (often driven by technological advances) that first deconstruct the marketplace and then rebuild it based on the new (improved?) paradigm.

The Industrial Revolution was one such wave. What that did was create a new marketplace built on scale. Bigger was better. It introduced mass manufacturing, mass markets and mass advertising. It also created the “middle,” which was an essential part of getting goods to the market. Given the scale of the new markets, it was essential to create a huge support infrastructure. Most of the wealth of the 20th century was built on the back of this particular K wave.

One of the characteristics of a K wave is that the positive benefits outweigh the negatives. After the period of destruction as the old market is torn apart, the new market scales to new heights. Technology fuels increased capabilities and opportunities. The world lurches ahead to a new possibility. We were better off (arguably) by most metrics after the Industrial Revolution than before it. We were more productive, had a higher standard of living and could do things we couldn’t do before.

Today, we’re in the middle of another K Wave disruption, and I believe this one is going to dwarf the impact of the Industrial Revolution. Of course, K waves by their nature are long-term phenomena whose impacts take decades to roll their way through society.

This particular K Wave is reversing many of the market dynamics established by the previous “Bigger is Better” one. We’ve begun to deconstruct the gargantuan support system required to service mass markets. Inevitably, there will be pain, and last week’s commentators zeroed in on many of those pain points. But there will also be growth. And the bigger the wave, the bigger the growth. In this case, the same factors I talked about last week – democratization of information, better user experiences, solving the distance problem – are all being driven by technology. As this wave continues, the market will become more efficient. Information asymmetry will be lessened (if not eliminated) and the superstructure of the “middle” will become unnecessary.

A more efficient marketplace means new opportunities. More businesses will start and grow. Previously unimagined sectors of a new economy will emerge. This new economy will be global in scope, but hyperlocal in nature. Pure ingenuity will have a chance to flourish, freed from the constraints of the need for scalability. Once we get through the stumbles inevitable in the transition period, the economy will ramp up for another bull run. But we have to get there first.

The Disintermediation of Everything

First published October 3, 2012 in Mediapost’s Search Insider

Up until five years ago, I had never used the word disintermediation. In fact, if it would have come up in casual conversation, I would have had to pick my way through its bushel of syllables to figure out exactly what it meant.

Today, I am acutely aware of the meaning. I use the word a lot. I would put it up there as one of the three or four most important trends to watch, right up there with the Database of Intentions, which I talked about last week. The truth is, if you’re a middleman and you’re not dead already, you’re living on borrowed time.

Why is the Middle suddenly such a bad place to be? A lot of people have made a lot of money in the Middle for hundreds of years. The Middle makes up a huge part of our economy, including a lot of middle-class jobs. Systematically eliminating it is going to cause a ton of grief. But the process has started, and there’s no turning back now.

Three big shifts are driving disintermediation:

The Democratization of Information

The Middle exists in part because we didn’t have access to what, in game theory, is called perfect information. Either we didn’t have access to information at all, or the information we had was not reliable or useful to us. So, in order to function in the marketplace, we needed a bridge to what information did exist.

Think of travel agents (which for the majority of us, is someone we probably haven’t spoken to for a few years). Travel agents were essential because we were walled off from the information we needed to arrange our own travel. We had no access to the latest airfares, hotel availability or room rates. If you had asked me what was the best hotel in Istanbul, I would have had no clue. We used travel agents because we had no choice.

Today, we do. The travel industry was one of the pioneers in democratizing information. The result? The travel marketplace is infinitely more efficient than it was even a decade ago. The average person can now put together a six-week multi-stop vacation relatively easily.  The middle is being eliminated. In 1998, there were 32,000 travel agencies in the US. Today, through elimination and consolidation, that number is closer to 10,000. Disintermediation has cost thousands of travel agents their jobs.

The Improvement of User Interfaces

When’s the last time you spoke to a bank teller? If you’re like me, it’s probably the last time you had to do something that couldn’t either be done through online banking or at a local ATM.  99% of our banking can now be done quicker and easier because banks have invested in creating platforms and interfaces that enable us to do it ourselves.  It’s better for us as customers, and it’s much more profitable for the banks. Disintermediation in banking has created a more efficient model. Ironically, unlike travel agents, bank tellers have not lost their jobs. They’ve just changed what they do.

The Overcoming of Geography

The final factor is the problem of distance. When mass manufacturing became possible, the distance between the factory and the market started to grow. Suddenly, distribution became a major challenge. Supply chains were born, making a lot of people very rich in the process. Becoming big became essential to overcoming the problem of distance.

But technology has made physical fulfillment much more efficient. Getting a product from the factory floor to your front door is still a challenge, but our ability to move stuff is so much better than it was even a few decades ago. The result? Massive disintermediation. And this particular trend is just beginning.

So What?

Much of what we’re familiar with today is part of the Middle. Just like travel agents, video stores and bank tellers, every year something we have always taken for granted will suddenly disappear. Huge swaths of the economy will be disruptively eliminated. That’s the bad news. The good news will have to wait till next week’s column.

Three Myths About Customer Love

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

Today, I want to talk about the last of the three posts by Harvard Business Review bloggers, Karen Freeman, Patrick Spenner and Anna Bird  I have been surveying: “Three Myths about What Customers Want.” Specifically, I want to look at this post’s implications for online marketing.

Myth #1: Most consumers want to have relationships with your brand.

This myth is at the crux of many, many social media campaigns. The theory is, a “like” = “intent to buy.” I have said before that I believe this is hogwash. The HBR bloggers concur:

“Only 23% of the consumers in our study said they have a relationship with a brand. In the typical consumer’s view of the world, relationships are reserved for friends, family and colleagues. That’s why, when you ask the 77% of consumers who don’t have relationships with brands to explain why, you get comments like ‘It’s just a brand, not a member of my family.’”

Marketers being marketers, we tend to think the entire world revolves around whatever it is we’re trying to sell. We believe people actually give a damn. They don’t, at least not in the vast majority of cases.  In contrast, relationships endure. They are there for the long haul. Consumer consideration runs on much shorter timelines.

There are degrees to consider here, however. What consumers can develop for a brand is loyalty. This falls into the category of beliefs, and that is what drives a lot of consumer behavior. We can believe a brand offers good value without having a relationship with it. Beliefs are heuristic decision shortcuts, which help consumers cut through cognitive overload.

Myth #2: Interactions built relationships.

Actually, say the HBR team, relationships are built on shared values:

“Of the consumers in our study who said they have a brand relationship, 64% cited shared values as the primary reason. That’s far and away the largest driver. Meanwhile, only 13% cited frequent interactions with the brand as a reason for having a relationship.”

Values can be a powerful driver of how we form beliefs. The brand I probably have the strongest affinity for is Apple. And it’s not because I have a relationship with Apple (never having visited its Facebook page). It’s because I believe Apple shares my values of creative freedom, uncompromising design and aesthetically pleasing experiences. I interact with an Apple device every day of my life. But I interact with the company only when I need something.

Myth #3: The more interaction, the better.

Marketers want to dominate a prospect’s time, in the mistaken belief that it will make the relationship “stickier.” If “stickier” means frustrating and annoying, they could be right.

“There’s no correlation between interactions with a customer and the likelihood that he or she will be ‘sticky’ (go through with an intended purchase, purchase again, and recommend),” writes the HBR team. “Yet, most marketers behave as if there is a continuous linear relationship between the number of interactions and share of wallet. That’s why, as the Wall Street Journal recently reported, you see well-established retailers like Neiman Marcus, Lands’ End and Toys R Us sending customers over 300 emails annually.”

We all have lots to do. The last thing on that list is to spend unnecessary time interacting with a brand because they’ve targeted us as a “loyal” customer. Here’s a question to ask yourself: Who benefits most from all these interactions — the customer or the marketer? If the answer is the marketer, then why should the customer care?

The danger of becoming marketers is that we gain a distorted perception of reality. Our job is to love a brand. It consumes our professional lives. This does weird things to a human brain. It makes it almost impossible to look at our brands the same way the rest of the world does. We care because we have to. We get paid to. The rest of the world doesn’t share the same motivation.

Paralyzed by Choice

First published June 28, 2012 in Mediapost’s Search Insider

In last week’s column, I looked at how Harvard Business Review bloggers Karen Freeman, Patrick Spenner and Anna Bird spelled the end of the purchase funnel. Today, I’d like to look at the topic they tackled in the second of the three-part series, “If Customers Ask for More Choice, Don’t Listen.”

Barry Schwartz, the author of “The Paradox of Choice,” believes we’re overloaded with choices. In fact, we have so many choices to make, often about inconsequential things, that we live with the constant anxiety of making the wrong choice.

This paradox meets today’s consumer head on, over and over, in situation after situation. The other factor, which I’ve seen play a massive role in buying behaviors, is the degree of risk in the purchase. The bigger the purchase, the higher the risk.

The final piece of the buying puzzle is the reward that lies at the end of the potential purchase. Our brains are built to balance risk and reward in fractions of a second. But we don’t do it by a calm, rational weighing of pros and cons, thus engaging the enlightened thinking part of our brains. We do it by unleashing emotions from the dark, primitive core of our brain. The risk/reward balance whips up a potent mix of neural activity that sets our decision-making engine in motion.

The degree of risk or reward sets the emotional framework for a purchase. High reward, low risk generally means a fairly fast purchase, such as an impulse buy. High risk, low reward may mean a very long purchase cycle with an extended consideration process. Whatever the buying path, there will be an undercurrent of emotion running just below the surface.

Now, let’s match up the findings of the HBR team. High-risk purchases automatically ramp up the level of anxiety we feel. We’re afraid we’ll make the wrong decision. And, in a complex purchase, there’s not just one decision to be made – there are several. At each decision point, we’re bombarded by choices. If the hundreds of purchase path evaluations I’ve done are any indication, the seller spends little time worrying about presenting those choices in a user-friendly way. Catalog pages are jammed with useless and irrelevant items. Internal site search results are generally abysmal. And product information typically takes the form of a long shopping list of features. Very little of it speaks to buyers in a language they care about.

This is a dangerous combination. We have the natural anxiety that comes with risk. We have a gauntlet of decisions to make, each raising the level of anxiety. And we have websites that contribute greatly to the frustration by making it difficult to navigate the information that does exist, which is either too little, too much, too irrelevant or too salesy — never does it seem to be just right.

Again, Freeman, Spenner and Bird ask us to make it simpler for the buyer. Provide them with fewer choices, and make them as relevant and compelling as possible. Ease the burden of risk by providing information that reassures. Realize that one of the components of risk is the degree of bias in the information we’re given. It that information reeks of marketing hyperbole, it will be discounted immediately.

In our numerous eye-tracking studies, we’ve found that in most instances, three to four options seems to be the right number to consider on a Web page. These can be easily loaded into working memory and compared without causing undue wear on our mental mechanics. So, on a landing or home page, three or four groups of coherent and relevant information seems to be an optimal level. We call them “intent clusters.” For navigation bar options, we try to keep it between five and seven choices. If we expect mostly transactional traffic, we ensure there is a “fast path” to purchase. If we expect a lot of purchase research, we aim for rich promises of relevant and reliable information.

As Freeman, Spenner and Bird remind us, “The harder consumers find it to make purchase decisions, the more likely they are to overthink the decision and repeatedly change their minds or give up on the purchase altogether. In fact, regression analysis points to decision complexity and resulting cognitive overload as the single biggest barrier to purchase.”

As marketers, our job is to eliminate the barriers, not erect new ones.