Put yourself in the place of a sales manager preparing for a
meeting and solve this puzzle:
The last time your salespeople met, they looked to you for
guidance about product demonstrations. They wanted to know
how long they should allow customers to try your products,
and you directed them to keep track of what they were doing
and get the data back to you. You planned to create a chart
comparing the proportion of customers who purchased the
product with the length of time they were given in a
demonstration. You expected to find that people given short
trial periods would be less likely
to purchase the product than people given longer trial
periods. And you expected your chart to reveal a peak
at the optimum demonstration period, when the largest
proportion of customers purchased the product.
Unfortunately, that's not what your chart showed.
Instead of what you expected, your chart revealed two clear
peaks, and the line looked like a 2-hump camel. It started
low, rose twice, once at two hours and once again at twenty-four hours,
and then finished low. What are you going to tell your
salespeople?
If you've ever carried out this analysis in your business,
then the chances are good that you've already seen this
2-peak pattern. It's a common finding. But it took some
hard thinking and a couple of experiments to explain its
cause. Amir Heiman, of the University of California, did the
work. Here's what he learned.
Demonstrations facilitate sales for high-quality products
because they correct mistakenly low impressions of the
products' quality and usefulness. But when low impressions
of a product aren't mistaken, then demonstrations will hurt
sales. So demonstrations should be reserved for high-quality
products.
Demonstrations serve to teach and to convince customers that
a product is right for them. Demonstrations initially
display a product's most prominent features and customers
experience for themselves their quality and usefulness. As
time passes and the demonstration continues, less prominent
features are noticed. For example, a short demonstration of
a flashy sports car may introduce customers to the car's
appearance and handling on the road, while a longer
demonstration may call attention to the uncomfortable seats
and small trunk.
Heiman reasoned that the optimum length for a demonstration
should fall just after prominent, positive features are
experienced and just before less prominent, negative features
are encountered. But he also expected this optimum
demonstration time to vary depending upon the knowledge a
customer brought to the demonstration.
Customers with little product knowledge would require longer
demonstrations to reach their optimum purchase probability.
Customers with a great deal of product knowledge would
quickly check off positive features they expected to find and
would notice negative features much sooner.
Heiman conducted an experiment in Tel Aviv with an Italian
luxury sports car, the Lancia Thema. He collected data on
trial period lengths and purchase probability, and he found
the same two-peak pattern noted above. But when he factored in
customers' product knowledge, the two peaks were explained.
The peak for knowledgeable customers was two hours. The peak
for novice sports car buyers was twenty-four hours.
Heiman recommends that we divide our customers into two groups
based on their product knowledge, and analyze their purchase
probabilities and demonstration lengths separately. Armed
with this insight, salespeople can ascertain a customer's
product knowledge and then offer a demonstration period most
likely to result in a sale. And Heiman advises us not to be
surprised if we find this period to be much shorter than we
customarily offer. That's what he found in Israel. He also
believes his findings apply to all kinds of product
demonstrations and to sampling of consumer goods.
Reference: Heiman, Amir and Eitan Muller (1996). Using
Demonstration to Increase New Product Acceptance: Controlling
Demonstration Time. Journal of Marketing Research, 33
(November 1996), 442-430.
Customer Psychology Findings, by James Larsen, Ph.D.
How Long Should You Give Them?
Researchers study demonstration periods and discover a way to calculate the optimum length for any product.