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Measurement

Choices

Navigating Our Options

By Darryl Seland
January 1, 2016
As the story goes, in an effort to improve sales and efficiency, a grocery store conducted a study to see which items were most commonly purchased together by its patrons. The study found that men between the ages of 30-40 years old, shopping on a Friday between 5pm and 7pm, were most likely to fill their carts with both diapers and beer. Citing the assumption that mothers were sending their husbands to the market for diapers and the husbands were spontaneously combining the task with their weekend beer run, the grocery began shelving the items near one another. Furthering the legend, the move was said to immediately increase the grocery’s sales of these items by 35%.

Although the existence of the grocery and its study have never been found, years-and-years of rumors began attributing the story to big-box chains and other retailers, all of which also have never been confirmed. Whether the story is true or not, it has become an analogy for the proliferation of predictive analytics and data mining in the retail industries, among others.

Add behavioral analysis to the mix and you get decoy pricing, “a tactic that boosts sales of high-profit items by creating another version of the product solely to make the pricier versions seem economical by comparison.” Take, for instance, a watch company with two products to present to consumers: an expensive, high-profit luxury watch and a low-cost, bare-bones watch. The watch company would prefer consumers buy the high-profit luxury watch, but would find that with these two options, a majority of consumers would purchase the less-expensive option. However, by taking advantage of the psychology of consumers, the watch company could create a third, middle-of-the-road watch and price it just a little less than the luxury watch, creating an option that makes the luxury watch seem like a bargain. The middle-of-the-road watch is a “decoy” meant to drive consumers to the choice the watch company wants them to make, the high-profit luxury watch.

This marketing method is also seen quite readily at the movie theater and coffee shop. A small coffee or popcorn for $2 wins over the large for $8, but introduce a medium for $7 and most consumers will purchase the large under the thinking that “it’s only a dollar more than the medium.”

That’s the theory, at least. Goldilocks chose the porridge and beds that were just right. The story never mentioned if the second porridge was purposely cooled-off by an overzealous marketer or if springs were removed from the second bed by a bed manufacturer that wanted Goldilocks to sleep in the third bed. But, like Goldilocks, consumers and businesses have options and they can be difficult to navigate. After all, not every situation provides only three options in which one is “too this,” one is “too that,” and one is “just right.”

This month’s Qualityaims to help. “Q&A: Keeping Track of Gage Management Software” can help you navigate the many choices in calibration management software and pick the one that’s right for your business. And “Depth Measurement” will answer the question, is the hole too deep, not deep enough or just right?

As always, enjoy and thanks for reading!

KEYWORDS: calibration software data mining predictive analytics

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Darryl Seland is the editorial director of Quality magazine, where he aims to usher the quality community with vibrant discussions, thought-provoking columns on quality management, manufacturing, and industry trends, as well as leading the brand’s editorial strategy. With a background in journalism, an MBA in finance and management, and years of experience in the quality industry, Darryl blends technical insights with engaging narratives to help professionals navigate the evolving world of quality assurance and the manufacturing process.

Connect with Darryl on LinkedIn or reach him at [email protected] for insights on quality management, leadership, and industry trends.

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