Why Multichannel Consumers Are More Loyal

  |  January 25, 2008   |  Comments

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:

  • Multichannel consumers are more loyal than single-channel consumers.

  • Multichannel companies can win over single-channel companies if they focus on creating a good customer experience across all their channels. In this case "good" doesn't necessarily mean "best," a very important point.

  • A unified brand across channels is imperative to nurturing a multichannel consumer.

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:

  1. These theories are based on precognitive decision making, not post-cognitive (e.g., Maslow's Hierarchy).

  2. Rats make precognitive decisions the same way we do.

  3. Our brains make decisions in a very complex, highly mathematical way. Each decision is broken up into several little decisions. This process is recursive, because the big decision is broken up into smaller ones and gets solves from the bottom up.

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?
Answer 1: The answer is solved by answering two other questions:

Question 1a: Is light good?
Question 1b: Is dark good?

Solving the problem recursively, step one looks like this:

Question 1a: Is light good?
Answer 1a: Yes: 40 percent; no: 60 percent

Question 1b: Is dark good?
Answer 1b: Yes: 90 percent; no: 10 percent

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...

Jack

ClickZ Live San Francisco This Year's Premier Digital Marketing Event is #CZLSF
ClickZ Live San Francisco (Aug 11-14) brings together the industry's leading practitioners and marketing strategists to deliver 4 days of educational sessions and training workshops. From Data-Driven Marketing to Social, Mobile, Display, Search and Email, this year's comprehensive agenda will help you maximize your marketing efforts and ROI. Register today!

ABOUT THE AUTHOR

Jack Aaronson

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.

COMMENTSCommenting policy

comments powered by Disqus

Get the ClickZ Analytics newsletter delivered to you. Subscribe today!

COMMENTS

UPCOMING EVENTS

Featured White Papers

BigDoor: The Marketers Guide to Customer Loyalty

The Marketer's Guide to Customer Loyalty
Customer loyalty is imperative to success, but fostering and maintaining loyalty takes a lot of work. This guide is here to help marketers build, execute, and maintain a successful loyalty initiative.

Marin Software: The Multiplier Effect of Integrating Search & Social Advertising

The Multiplier Effect of Integrating Search & Social Advertising
Latest research reveals 68% higher revenue per conversion for marketers who integrate their search & social advertising. In addition to the research results, this whitepaper also outlines 5 strategies and 15 tactics you can use to better integrate your search and social campaigns.

WEBINARS

Jobs

    • Interactive Product Manager
      Interactive Product Manager (Western Governors University) - Salt Lake CityWestern Governors University, one of the 20 largest universities...
    • SEO Senior Analyst
      SEO Senior Analyst (University of Phoenix (Apollo Education Group)) - San FranciscoSEO Senior Analyst   Position Summary...
    • SEM & Biddable Media Manager
      SEM & Biddable Media Manager (Kepler Group LLC) - New YorkAs an Optimization & Innovation Manager at Kepler Group, you will be on the bleeding...