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CRM
Success Hinges on Data Quality
Without
accurate customer data, implementing a CRM
strategy is like 'walking up a down escalator
by Kurt Konow
Customer Marketing Strategist, Document Messaging Technologies
There's
little doubt that the customer is king In today's business
world. The 1980s centered on downsizing and cutting costs.
Managers in the 1990s focused more on building up core competencies.
But with
the onset of the new millennium, enterprises are clearly recognizing
the importance of the customer -- or more precisely, the importance
of an effective Customer Relationship Management (CRM) strategy
in reaching the customer, particularly as more business migrates
to the web and interactions with customers become more automated
and more impersonal.
And for
good reason. Customers are the very raison d'etre for business.
Any sales
rep worth his or her salt will tell you that "nothing happens
in business until a sale is made." And, of course, a sale
cannot be made without a customer.
Growing
use of data as an "asset"
The real news today is that businesses, which have been collecting
customer-related data for years, are now using the data as
an "asset" to launch numerous initiatives. The goal? Capitalize
on the obvious fact that selling to existing customers is
much easier than selling to new ones.
Airlines,
supermarkets, video rental stores and even auto repair shops
are just a few of the many businesses that now recognize the
extraordinary value of repeat business. In realizing this,
they have launched CRM strategies in the form of loyalty programs
that reward existing customers for purchasing additional or
incremental products and services.
But what
many of these businesses don't realize is that accurate data
is the very cornerstone of an effective CRM strategy. And
that poor quality or inaccurate data can actually impede customer
relations efforts and hinder a firm's overall CRM strategy.
Data
accuracy impacts costs, sales and effectiveness
Three principal reasons underpin the need for accurate and
up-to-date data when communicating with customers. They are:
(1) to lower costs; (2) to increase sales and profits; and
(3) to improve internal effectiveness. Any one of these three
reasons should be sufficient to entice a business to assure
customer data quality. But when considered together, the three
are an overwhelming argument.
But before
looking at the costs involved in using inaccurate customer
data, consider just two facts. The first? Americans like to
move. An estimated one in five American families -- about
17 percent of the population - move every year.
And the
second? Even when they don't move, consumers are not stagnant.
They get married, buy homes, have children, build additions,
get promotions, switch jobs, take vacations, buy second homes,
invest in (and roll over and draw down) retirement plans,
take up and change hobbies, enroll their children in school,
and on and on. Any CRM strategy that fails to recognize the
dynamic nature of consumers' lives and lifestyles is likely
to fall short of expectations.
Accurate
data can lower costs
The first major benefit of accurate data centers on cost reduction
and is most easily understood when the costs are categorized
as either "hard" or "soft."
Hard costs
are the most obvious. They involve processing returned mail
and include the concrete expenses of postage, paper, envelopes,
printing and labor. Additionally, because returned mail arrives
erratically, in varying quantities, and without any advance
notice, efficiencies are difficult to achieve. The costs for
reprocessing are frequently higher than those incurred in
processing an equivalent number of first-time mail pieces.
Soft costs,
however, can be even more significant than hard costs, especially
for the enterprise as a whole.
The most
tangible soft cost involves the delay in the receipt of revenue.
If the original mail piece contained a statement, or an invoice
that requires payment, then the delay means cash flow is being
negatively impacted.
Additionally,
the delay in receipt of a bill might trigger a subsequent
customer service cost. The customer who did not receive the
statement as expected might call a customer service center
to inquire -- or complain --about the delay.
Or the
delay in delivery, and subsequent delay in payment, may cause
a customer to exceed a credit limit, resulting in embarrassment
and anger when making additional purchases. And once customers
are lost, it is very hard to get them back. In fact, it is
far cheaper to keep a customer than it is to acquire a new
one or especially re-acquire a lost one. There is also the
cost of lost sales. Admittedly, it is hard to quantify the
true cost of a lost sale or a lost customer. But the costs
are real and they do exist.
Consider
the example of a customer who moves to a new residence. An
immense amount of buying can occur when people relocate. Home
decorations and furnishings, appliances, lawn and garden care
equipment, clothing, books, light bulbs, even insurance --
all are often purchased in connection with a change in residence.
For most
businesses, a move is precisely the best time to stay in touch
with customers. Yet for many companies, a move is precisely
the time that they lose contact with customers. Or they incur
unnecessary extra costs and added delays in trying to reestablish
contact with customers.
Accurate
data can increase sales
Perhaps even more significant than the "downside" or the soft
costs of using inaccurate data is the "upside" or the potential
increased sales that can come from employing only the most
accurate and up-to-date customer data.
It goes
without saying that promotional offers that are custom tailored
to individual needs or highly targeted to specific customer
segments are more effective and generate higher sales than
mass broadcasts of generic appeals.
The experience
of one firm engaged in horticulture marketing illustrates
the point. The firm mailed the same promotional offer to customers
who recently moved and to customers who had resided at the
same address for several years. The firm discovered that the
mailings directed exclusively to existing customers who moved
resulted in a response 1.9 to 2.1 times greater than the same
mailings sent to customers who lived at the same residence
for many years.
Need more
proof of the value of accurate and comprehensive data? Consider
the example of Company X, which is satisfied to know that
Taylor Smith lives at 123 Main Street in Anytown USA, and
that the mail is deliverable as addressed.
Now look
at Company Y, which employs a CRM strategy using the latest
technology to append and enhance their customer data. As a
result, the savvy marketers at Company Y know that Taylor
Smith is actually a young married woman, with two children
-- a boy and a girl, age ranges between two and four -- with
a household income range of $90,000.
And that
she is the same Taylor Smith contained in two other data bases
maintained by the company. Is there any question which company
will achieve the better bottom-line results when offering
additional products or services to Ms. Taylor?
Accurate
data can improve effectiveness
The third major benefit of using accurate customer data centers
on improved enterprise-wide effectiveness. What does that
mean? It means preventing errors before they occur and eliminating
unnecessary work.
For example,
once a company determines that accurate customer data is a
priority worth achieving, the firm usually goes through a
period of investigation and analysis to determine where and
how errors occur. Once
the source of the errors is found--such as data entry operators
who are poorly trained or motivated, existing customer records
that contain outdated information, or customers themselves
who are inconsistent when providing information--steps can
be taken much like a Total Quality approach to eliminate the
errors and their subsequent costs before they occur.
The use
of accurate and comprehensive customer data can also reduce
the number of calls to customer service call centers, which
will enable those resources to be re-deployed to higher and
more productive uses. Don't let the competition win Lastly,
even if the opportunity to reduce costs, increase sales and
improve overall effectiveness isn't enough motivation, companies
can also rely on accurate customer data to help strengthen
the customer relationship and "inoculate" customers against
the inroads and sales tactics of competitors.
Because
one of the key factors to remember in business is that the
customers and revenues you loss generally go directly to and
strengthen the competition. The $200 that a customer doesn't
spend in Sears doesn't just evaporate. It goes to Wal-Mart,
J.C. Penney, a catalog retailer or somewhere else.
Considering
the huge amount of work that goes into attracting customers
and sales in the first place, no business can really allow
inaccurate or incomplete customer data to undermine and detract
from its strategic mission.
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