A tutorial on the science behind decision-making behaviors. First of a series.
Why are multichannel consumers are more loyal? In this series, I'll examine that question.
Four years ago, I started seeking scientific evidence to answer this question, even when it wasn't a given that multichannel customers actually are more loyal. Since then, multichannel consumers have been empirically shown to be more loyal and profitable. But I haven't come across any literature that really explains why from a scientific point of view. I'm basing my theories here on common understandings of neuroscience, the study of fear in animals, and how the brain makes decisions.
The theories I'm trying to prove scientifically are:
Understanding the Science
Let's start with the science behind my theories. To explain how decisions are made in the brain, we'll use a fairly common test case involving a rat and two different boxes: a light box and a dark box. Assumptions to keep in mind:
Rats are instinctually averse to light. When given the option of going into a dark or a light box, the rat will crawl into the dark box without thinking about it. Is this a decision? It is, but it's one the rat makes without thinking about it.
Here's how the first step of the decision is made:Question 1: Do I go into the light box or the dark box?
Solving the problem recursively, step one looks like this:Question 1a: Is light good?
Looking at the answers with the highest percentage, "go into the dark box" wins because the rat will pick the "yes" answer if there is one. In this case the results for "Is dark good?" came back "yes" at 90 percent, while the results for "Is light good?" came back "no" at 60 percent.
Note that the questions' final results (90 percent and 60 percent) aren't directly comparable, as they describe their universes (dark or light). The percentages don't directly compare dark to light. The rat's natural instinct is to choose the most advantageous answer, in this case "yes," the dark box is a better environment. Because "Is dark good?" resulted in a "yes" and "Is light good?" resulted in a "no," this is a fairly easy example. It gets more complicated when each subquestion results in the same answer: when both "Is light good?" and "Is dark good?" equate to "yes." In that case, the brain moves to step two, comparing the actual evidence that generated the percentages.
Let's say you run two trials on four products, pitting medicine A against medicine B, and medicine C against medicine D. You discover that 60 percent of patients liked medicine A over medicine B, and 60 percent of patients liked medicine C over medicine D. The clear winners are A and C. But, which one would you choose, medicine A or medicine C?
Both are preferred by 60 percent of patients, so there isn't clear winner as with the light/dark example. The brain moves on to step two, looking at the evidence that produced the results. If the A/B trial had twice as many people in it as the C/D trial, the brain would choose medicine A. While the percentages are the same, there's more evidence for medicine A being good.
If there's a clear winner in a trial -- one result is "good," the other is "bad" -- we'll choose the "good" result. That's why the rat chooses the dark. It was the "good" answer; the "yes" answer had the highest percentage of all the answers to both questions. In the case of the four medicines, however, two results come back as equally "good." The brain then goes to step two: consider the evidence. In this step, it determines how much evidence there is and weights the goods results accordingly. More evidence for one choice weights that choice better.
How This Relates to Multichannel Marketing
Now that we understand the basics about how decisions are made in the precognitive brain, we're ready to prove the above theories. The next column will replace the above questions with, Should I shop at a Company A or Company B?
We'll see how the fact that one of these companies is multichannel greatly affects the amount of evidence in determining which company is better, even when the channels Company A and Company B have in common are liked equally.
Questions, thoughts, comments? Let me know.
Until next time...
August 10-12: Revolutionize your digital marketing campaigns at ClickZ Live San Francisco! Educating marketers for over 15 years, our action-packed, educationally-focused agenda covers every aspect of digital marketing. Early Bird rates available through Friday, July 17 - save up to $300! Register today.
Jack Aaronson, CEO of The Aaronson Group and corporate lecturer, is a sought-after expert on enhanced user experiences, customer conversion, retention, and loyalty. If only a small percentage of people who arrive at your home page transact with your company (and even fewer return to transact again), Jack and his company can help. He also publishes a newsletter about multichannel marketing, personalization, user experience, and other related issues. He has keynoted most major marketing conferences around the world and regularly speaks at Shop.org and other major industry shows. You can learn more about Jack through his LinkedIn profile.
US Consumer Device Preference Report
Traditionally desktops have shown to convert better than mobile devices however, 2015 might be a tipping point for mobile conversions! Download this report to find why mobile users are more important then ever.
E-Commerce Customer Lifecycle
Have you ever wondered what factors influence online spending or why shoppers abandon their cart? This data-rich infogram offers actionable insight into creating a more seamless online shopping experience across the multiple devices consumers are using.