After All You've Done For Your Customers,
Why Are They Still Not Happy?
Customer Satisfaction is Headed Down in the U.S...
A surprising and troubling new study shows. What's going
wrong? And what should companies do to make it right?
by THOMAS A. STEWART
REPORTER ASSOCIATE WILTON WOODS
He (or she) is alpha and omega, the beginning and the end,
a business's reason for being and the reason it continues to
be. Providing for him is--or should be--the reason we go to
work in the morning; worrying about her is--or should be--what
keeps us up at night.
Yet how little we know about these indispensable strangers,
our customers. Are they happy? Restless? Was it good for them
too? Will they come back tomorrow? The answers to these
questions profoundly affect any business. Indeed, one could
say they define a business. They also define the meaning of
economic activity, for in the largest sense an economy cannot
be described by adding up how many tons of rebar it makes, how
many passenger-miles of air travel it logs, how much wood its
woodchucks chuck per hour. All these count (and we count
them), but in the final analysis what matters is how well an
economy satisfies its customers' needs and wants.
Now we can count that. In the autumn of 1994, the
University of Michigan's business school and the American
Society for Quality Control, a venerable professional
organization of 130,000 quality experts based in Milwaukee,
released the first American Customer Satisfaction Index (ACSI).
The second year's results are now in, which makes year-to-year
comparisons possible. The ACSI tracks customer satisfaction in
more than two dozen manufacturing and service industries and
several public-sector functions--all in all, about 40% of U.S.
gross domestic product. This makes the ACSI the first
large-scale, systematic attempt to measure the quality of
economic output.
The news is--well, there's good news and there's bad news.
The good news is that some industries--most notably domestic
automobile makers--have made significant gains in customer
satisfaction. The bad news: Overall, U.S. companies satisfied
their customers less well last year than the year before, with
computers a conspicuous decliner. The likely villains:
misconceived penny-pinching, a failure to respond to
customers' rising expectations, and insufficiently rigorous
ways of tracking customer attitudes. (For details of the
results and methods of the ACSI, and a look at companies that
are champion customer satisfiers, see the following story.)
The American Customer Satisfaction Index is newsworthy not
only because of its results but also because, like any good
scorecard, it provides insights into the nature of the game
itself. A major feature of the ACSI is that it provides a
direct way to include customers among the measurable facts of
economic life. Says economist Claes Fornell, a professor at
the Michigan business school who designed the index: "At the
macro level, you should consider this an economic indicator,
like indicators of price and productivity."
Other indicators cannot measure quality. One cannot draw
any inferences about quality from gross domestic product, for
instance; indeed, poor quality can actually increase it. If a
mail-order house sends you the wrong pillowcases, the phone
calls and back-and-forth UPS shipments required to correct the
mistake add to GDP. The Bureau of Labor Statistics tries to
take account of quality improvements in calculating the
consumer price index. For example, if a carmaker raises a
price but the new model includes new features like airbags or
has better fuel economy, the BLS will subtract the estimated
retail value of the improvements from the price before
calculating the CPI. But the BLS makes these quality
adjustments for only a few industries and without direct
feedback from customers, the final arbiters of quality. The
adjustments then disappear into the CPI, leaving no visible
footprints.
Productivity statistics come closer, but again not close
enough. Efficiency is at best an incomplete and indirect way
to measure quality. Some of the cost of poor work (replacing
those pillowcases, for example) shows up in lower productivity
figures; shoddy work usually means lower prices, which also
leaves its traces in measures of productivity. In its landmark
1992 study of service sector productivity, the McKinsey Global
Institute wrote: "In other cases quality differences are not
picked up [in productivity data], and in such situations it
may make sense for a company to reduce its measured
productivity and achieve higher quality." A retailer, for
example, might please more customers and make more money if it
stocked a wide array of merchandise, even if that lowered its
efficiency.
It is also notoriously difficult to measure productivity in
service industries, education, and government, where output
may be hard to quantify or may have no market. This means that
there can be no single yardstick for measuring the
productivity of the economy's dominant sectors, and therefore
also no reliable inference, even indirect, of its quality.
Anyone who has lingered for three hours over lunch at, say, Le
Table du Comtat, spectacularly perched on a Provencal hilltop,
can tell you that for some industries customer satisfaction is
at least as significant a measure of economic value as
efficiency is.
Clearly, quality is too important to companies and the economy
to be measured only (and imperfectly) by inference. It wasn't
lower prices, after all, that allowed Japanese automakers to
lay waste to Detroit as mercilessly as Sheridan did the
Shenandoah Valley; nor have the Big Three won buyers back by
productivity improvement alone. There is also evidence that
customer satisfaction can be a leading indicator of economic
performance. Although the ACSI is too new to be judged on its
ability to contribute to forecasts of the economy as a whole,
it seems able to foretell corporate performance: A study by
David Larcker of the Wharton School, using data from the
National Quality Research Center, which Fornell directs,
showed that companies that ranked highest in the first year's
ACSI significantly outpaced lower-ranked companies in the
stock market.
Considered as an economic indicator, the 1995 results flash a
warning. Productivity and GDP rose strongly in the 12 months
that ended in September 1995 (3.4% and 3.3%, respectively).
But, says Fornell, "there is no evidence in the last year that
quality is increasing, except in the manufacturing of durable
goods. In services it's down. In the other sectors it's
steady." Though the overall decline is small, this is not an
index that one would expect to shift abruptly, and the fact
that it has moved in the wrong direction is not encouraging.
Certainly the ACSI score raises questions about whether, as
Federal Reserve Board Chairman Alan Greenspan and others have
proposed, the consumer price index should be adjusted downward
to account for improved quality in U.S. goods and services.
Customers, at least, see no such improvement.
But how can this be? After eight years of Baldrige awards,
after so much corporate attention to quality that TQM is an
acronym that no longer needs to be spelled out for FORTUNE's
readers, after so many tens, hundreds, thousands of thousands
of customer-satisfaction surveys by hotels, amrlines, banks,
even the New York City Parking Violations Bureau--after all
this, how can American consumers, the ungrateful wretches, be
less satisfied? Since the customer is always right, has
business done it wrong?
In important ways, yes. The ACSI results suggest at least
three wrong turns business may have made in its drive to
improve customer satisfaction: It has viewed customer service
as a cost rather than an investment; it has been
insufficiently aware of customers' rising expectations; and it
has not yet figured out how to define customer satisfaction in
a way that links it to financial results.
Corporations--or those that take total quality management
seriously--long ago realized that quality pays for itself.
Eliminate defects and you eliminate rework, cut back or cut
out inspection, reduce inventory and other drains on working
capital. It's less clear that companies know that customer
service can pay for itself. Perhaps this is because the
rewards of eliminating defects show up in reduced costs, while
superior customer service, like advertising, is a cost whose
payback is on the other side of the ledger, in growth.
Take computers. Surely here is a group of products whose
quality has soared and price has plunged: An Apple Powerbook
145 with a 40-megabyte hard drive and a chip speed of 25
megahertz was priced at $2,400 in 1993; a Powerbook 190 with
500 megabytes, more features, and more than twice the speed
costs about $1,800 today. Yet the ACSI shows customer
satisfaction with computers fell 3.8% last year. One
explanation: As the PC market swelled and individual
consumers' share of PC purchases jumped (from 20% in 1993 to
27% in 1995, according to BIS Strategic Decisions), hardware
and software makers tried to control burgeoning
customer-service costs. Customers fumed while being kept on
hold for toll calls to help lines. Yet, says Joseph O'Leary, a
customer-satisfaction expert at Arthur Andersen, "by
definition these people are not early adopters and need more
handholding than earlier buyers did."
Strangers to the consumer market--remember Intel's inept
handling of the discovery of a bug in its Pentium
microprocessor? --the industry forgot that customer service is
not just a cost but as much an investment as product
excellence is. Keeping customers is a great way to grow.
Studies (such as one done by the Technical Assistance Resource
Project for the U.S. Office of Consumer Affairs) show that the
price of ecquiring new customers is five times greater than
the cost of keeping old ones. Says consultant Frederick
Reichheld, a director at Bain & Co.: "You can fill a bucket a
lot faster if it's not leaking." Few companies in any industry
realize the awesome financial leverage of a loyal customer
base (see box).
Rising expectations have also increased the customer
satisfaction stakes. Says Gun Dukes, group director in the
research department of J.D. Power & Associates, which has
studied customer satisfaction in the auto industry since 1981
and in computers (since 1991), airlines (since 1992), and now
long-distance phone service: "What makes customer satisfaction
so difficult to achieve is that you constantly raise the bar
and extend the finish line. You never stop. As your customers
get better treatment, they demand better treatment."
Expectations are fueled not just by how well a business
performs vis-a-vis its direct competitors but also by
standards set in other industries. Hubert Saint-Onge, vice
president of Canadian Imperial Bank of Commerce, points out
that a bank might think it has done a great thing if it
processes mortgage applications in three days instead of ten
days, but still might not impress a customer who can buy a
pair of boots from L.L. Bean at 2 a.m. Sunday, then call his
broker and place an order to buy 1,000 shares of Intuit.
Finally, businesses should reexamine how they measure customer
satisfaction. What Arthur Andersen's O'Leary calls "the Big
Bertha customer survey" is of trivial strategic value;
customers' loyalty is won in the trenches. Says Wharton's
David Larcker, a professor of accounting: "Measurements of
this sort are well known to be unreliable. Customer
satisfaction is too complicated to measure by means of an
unscientific sample giving you a knee-jerk rating on a scale
of one to five." (And have you noticed that those surveys seem
designed to monitor employee behavior rather than customer
satisfaction? When the front-desk clerk told you your room
wasn't ready, was he courteous?)
A test: If you can't demonstrate the link between increased
customer satisfaction and improved financial results, you're
not measuring customer satisfaction correctly. Happy customers
should exhibit at least one of three measurable
characteristics: loyalty (retention rates), increased business
(share of wallet), and insusceptibility to your rivals'
blandishments (price tolerance). The efforts a business takes
to increase customer satisfaction should be ones it knows--not
just by gut feel but from rigorous study--have a provable
effect on those characteristics. If you want your customers to
stay longer, you should find out what specific factors--faster
delivery? electronic billing and payment? better-trained
personnel?--make the most difference in your retention rate,
and how much that difference is worth. Almost by definition,
this means that measuring and managing customer satisfaction
cannot be the private preserve of the market research
department. It's the job of the whole business. It is the
whole business.
What's A Loyal Customer Worth?
Customers are the most important asset a company has. They
are the source from which all cash flow flows (unless your
derivatives traders had a good year). You know this in your
heart; the chairman writes it every year in the annual report.
Surely, then, you have ready answers to some simple questions:
What is the value of your customer base? How much is a new
customer worth? How much should you pay to keep an old one?
The math to evaluate "customer capital" is straightforward.
Finding the data requires legwork, but companies like Lexus
and credit card giant MBNA find the effort is repaid many
times if it helps keep customers. Says Frederick Reichheld of
Bain & Co.: "Raising customer retention rates by five
percentage points increases the value of an average customer
by 25% to 100%." Here, based on work by Reichheld and the
University of Michigan's Claes Fornell, is a summary of how to
calculate what a customer is worth.
First, decide on a meaningful period of time over which to do
the calculations. This will vary depending on your planning
cycles and your business: A life insurer should track
customers for decades, a disposable-diaper maker for just a
few years, for example.
Next, calculate the profit (net cash flow) customers generate
each year. Track several samples--some newcomers, some
old-timers--to find out how much business they gave you each
year, and how much it cost to serve them. If possible, segment
them by age, income,`sales channel, and so on. For the first
year, be sure to subtract the cost of acquiring the pool of
customers, such as advertising, commissions, back-office costs
of setting up a new account. Get specific numbers--profit per
customer in year one, year two, etc.--not averages for all
customers or all years. Long-term customers tend to buy more,
pay more (newcomers are often lured by discounts), and create
less bad debt.
Then chart customer "life expectancy," using the samples to
find out how much your customer base erodes each year. Again,
specific figures are better than an average like "10% a year";
old customers are much less likely to leave than freshmen. In
retail banking, 26% of account holders defect in the first
year; in the ninth year, the rate drops to 9%.
Once you know the profit per customer per year and the
customer-retention figures, it's simple to calculate net
present value. Pick a discount rate--if you want a 15% annual
return on assets, use that. Apply the rate to each year's
profit, adjusted for the likelihood that the customer will
leave. In year one, the NPV will be profit — 1.15. Next year,
NPV = (year-two profit € retention rate) — 1.152. In year n,
the last year in your figures, the NPV is the nth year's
adjusted profit — 1.15n. The sum of years one through n is how
much your customer is worth--the net present value of all the
profits you can expect from his tenure.
This is invaluable information. You can use it to find out how
much to spend to attract new customers, and which ones. Better
still, you can exploit the leverage customer satisfaction
offers. Repeat business--the ultimate measure of customer
satisfaction--almost certainly merits bigger investments than
you make. Take your figures and calculate how much more
customers would be worth if you increased retention by 5%.
According to Reichheld, for advertising agencies a 5% increase
in retention rates translates into a 95% increase in customer
NPV. For credit card companies: 75%. Even software makers,
hotfooting after new business in a fast-growing industry,
would see a 35% increase in customer value if they lost fewer
old accounts. |