Why Advertising is Like Chocolate

One of the fears raised by critics of neuromarketing is that by observing the brains of subjects reacting to ads, marketers will be able to make those ads much more manipulative than those developed using conventional approaches. I don’t believe this will happen (as much as some marketers would like it to), and the answer lies in chocolate.

Let’s think about chocolate for a minute – it’s been around for centuries, it comes in many forms and varieties, and it even has addictive properties. What if Microsoft (for example) decided to get into the chocolate market, hired the top formulators from the world’s best chocolatiers, and decided to optimize their final product using brain scans. This would be diabolical indeed… take an addictive product that people already desire, and then scan the brains of subjects while feeding them samples to find which recipe lit up their pleasure centers to the max. (I’ll be a willing volunteer for any such study, by the way.) Diabolical, but would it work? I think not.

First, the researchers would be confounded by individual differences. Some subjects would react most strongly to creamy milk chocolate, others to less-sweet dark chocolate. Adding raspberry cream might send some subjects to new heights of ecstacy, while others would have a “yuck” reaction. Hazelnut truffles might work best for others. Even as the researchers optimized the product for one subject, they would find its appeal to other subjects decline. Eventually, the formulators would be faced with the tradeoff of a single product that had broad, if not spectacular, appeal, or a selection of different flavors and styles that worked better for groups of subjects. Even within these groups, though, some would like a particular formula better than others.

Second, when the chocolatiers tasted their “neuro-optimized” chocolates, would they find them superior to the finest chocolates developed the old-fashioned way? Almost certainly not – centuries of experience and experimentation have allowed skilled chocolatiers to determine what people like, and it’s unlikely that all the brain scans in the world would produce a measurably superior product.

The leap to advertising from chocolate isn’t all that big. People are different. No ad works for everyone, and advertisers have to decide what compromises to make in developing an ad with broad appeal. And, with decades of really skilled minds working in the advertising industry, it’s unlikely that a handful of brain scans will produce a breakthrough ad far more effective than its predecessors.

So where’s the benefit? For both chocolate and advertising, neuromarketing technology can avoid waste. Somebody think that licorice-flavored chocolate is a great idea? The interns who tasted it said they liked it? Before going into production and launching the product at great expense, see how people’s brains respond to the new flavor compared to others. Take people’s expectations and prejudices out of the loop by measuring their real reactions to the product (or ad). Killing off a product that won’t sell or an ad that performs worse than others is a laudable goal, even if super-chocolate and super-ads won’t emerge from the process.

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— who has written 956 posts on Neuromarketing.

Roger Dooley writes and speaks about marketing, and in particular the use of neuroscience and behavioral research to make advertising, marketing, and products better. He is the primary author at Neuromarketing, and founder of Dooley Direct LLC, a marketing consultancy. Follow him on Twitter.

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6 responses to "Why Advertising is Like Chocolate" — Your Turn

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Will C Mars 27. March 2008 at 10:52 am

But doesn’t this path lead to ways for marketers to market a product or service or product perfectly to one person? I’m thinking of a chocolate bar that hooks you for life by studying which chocolate flavors you can’t resist and then engineering that bar, and kazaam. It’s un-feasible now because of the cost, but as brain-scanning becomes more prevalent, it could happen. I would even be willing to find the chocolate bar my brain couldn’t resist.

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Andy 27. March 2008 at 10:30 pm

Totally! By the very nature of fMRI design we want averaged responses, as soon as individual differences become a key variable it is game over. What of couse could come out in the end is a very ‘average’ chocoloate which no-one really likes much and tends to be left at the bottom of a variety box!

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Roger Dooley
Twitter: rogerdooley
28. March 2008 at 7:17 am

Will, we’ve headed in that direction a little with the “mass customization” trend a few years ago. In essence, mass-produced products like blue jeans could be manufactured for an individual customer’s measurements in a relatively efficient manner. That hasn’t caught on in a major way, though, even without the additional time and cost of brain scans. I think we’re a long way off from brain-optimizing products for individuals. Right now, you can’t even get a custom chocolate formulation based on a few taste tests.

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Karen Swim 29. March 2008 at 1:56 pm

Excellent and thought provoking analogy. It’s interesting to think of the chocolate maker who first created something they liked and then after sharing it with a small circle discovered others liked it too. So one person creates what they like (and know) and refines based on feedback for the masses.

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eydryan 1. April 2008 at 3:36 am

i’m afraid you’ve chosen a poor comparison. Why? because the food industry has never been prone to one single product for all tastes. So if you really wanted to make the uberchocholate, you would need to actually make a lot.

There’s a TED talk about this, where a renowned food marketer was asked to tell a company what product they needed to make to dominate the market. After the study, it turns out they had to make 35…

However, think of Luxury. that’s almost universal. Or anything else, like shoes for women (what could be more addictive than that), or cars to men…

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Peach 2. April 2008 at 11:36 pm

Psychology is about the prediction and control of behavior. Good experimental designs with proven behavioral techniques have for decades been used to cost-effectively determine the likelihood of product success for companies with appreciation for good science and the courage to implement the findings. The data generated in brain imaging studies is hardly predictive of purchase behavior.

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