'Relationship' is the key word in any e-CRM strategy
Without
accurate customer data, can a true 'relationship' with
customers really exist?
by Kurt Konow
Customer
Relationship Strategist
Pitney Bowes Document Messaging Technologies
Businesses
are embracing e-CRM strategies with near-religious fervor
today. Survey after survey shows that more than 50 percent
of the Fortune 1000 companies are planning to migrate at
least a portion of their selling efforts to a web-based
business model.
As part
of this huge shift to e-commerce, these businesses are focusing
increasingly on e-CRM strategies as way to reach customers
and foster continued growth. And for good reason.
It's
widely known that selling to existing customers is much
easier than selling to new ones. So focusing on the existing
customers should yield superior returns.
But
what is not widely known is that accurate data is the very
cornerstone of an effective e-CRM strategy. And that poor
quality or inaccurate data can actually impede the customer
relations effort and hinder a firm's overall e-CRM strategy.
How?
Imagine yourself in the following three examples and see
if you can determine how data accuracy can influence a relationship.
A
relationship or a one-time sale?
In
the first example, you enter your favorite restaurant where
you are a frequent and well-known customer. You are greeted
warmly by someone who knows you by sight and name, and is
ready to serve your favorite beverage without being asked.
You feel comfortable, like a guest in a friend's home, rather
than just a business customer.
Now,
consider two other 'relationships' that occur in the e-business
world when you buy a product or service either online via
the Internet or through an Intranet-based Inbound Call Center
or 'help desk' application.
Data
Quality and the Internet
In
the online example, regardless of how many times you may
have purchased products previously, you are still required
to enter your name, address and shipping information, along
with the 'optional' demographic and financial data.
But
what happens if you are in a rush -- as everyone is today
-- or aren't very good at typing? If you misspell your street
name, or forget to include your apartment number, or balk
at including the 'optional' personal information, the data
will be inaccurate and completion of the order will be slowed,
either in processing or delivery.
The
whole point of technology is to speed-up and simplify the
routine. This information could easily be available, but
countless organizations overlook this fact in their zeal
to attract 'new' customers.
Data
Quality and the Intranet
It
isn't much better when you place a call to an Inbound Call
Center in the Intranet environment. If your call is handled
by a customer service representative (CSR) who does not
have access to accurate and comprehensive data, the experience
is not pleasant.
These
CSRs don't know you or your situation, they often can't
pronounce your name, let alone spell it, and they know nothing
about your previous purchases or how you might use this
product or any other product or service more effectively.
Since
all sales and all customers are alike to these CSRs, there's
no need for them to deviate from the tedious script they
follow unthinkingly. You are not really a 'person' or a
'customer' to them but rather an 'order number.' Now, which
of the three relationships is likely to endure and flourish?
Data
impacts relationships
Every
time an e-business interaction occurs, the accuracy of the
customer data, the ease with which the data is accessible
to those who are dealing with the customer, and the manner
in which the data is utilized, such as in the Intranet example,
all contributes to either building or eroding the relationship.
And
because there is far less chance for positive human interaction
in the fast-paced and increasingly impersonal world of Internet-based
e-commerce, the need for accurate customer data becomes
even greater.
Plus,
aside from the impact on the overall 'tone' of the relationship
-- which is significant by itself -- there are other key
benefits to using accurate and up-to-date data when communicating
with customers.
These
enable e-businesses to:
- Shorten
or eliminate the amount of unproductive time spent gathering
routine information from customers.
- Eliminate
the possibility of introducing new data-entry errors on
the part of either employees or customers.
- Spend
more 'quality' time building the relationship and 'making
a connection' with customers.
- Capitalize
on the opportunity to cross-sell and up-sell more quickly
and more comprehensively.
-
Initiate highly personalized 1:1 marketing efforts within
minutes of making contact with customers.
A
process, not a quick fix
The
real hurdle for many organizations rushing to implement
the new e-commerce models is in understanding that strong
customer relationships are not achieved via a quick fix
or fast sale.
Customers
are attracted to the speed of e-commerce. But they still
want to be treated like customers whose time and satisfaction
-- as well as money -- is valued by the e-business they
choose to deal with.
E-businesses
that use accurate data to simplify and enhance every customer
interaction demonstrate clearly that they value the customer
and want to build a strong and lasting relationship.
And
while an effective data quality solution must involve all
the key functions of a business that interact with customers
or generate data related to customers -- which for many
e-businesses encompasses just about the entire organization
-- the rewards in terms of speed, efficiency and effectiveness
far outweigh the costs. No more delays or errors
The
time and effort required to record routine data manually
is simply wasted. Plus, it affords an opportunity for errors
to be entered, which can cause a problem with the current
order or trigger subsequent costs downstream.
When
the data entry function is performed by CSRs, it requires
concentration on the data rather than the customer, which
runs counter to building a 'relationship.' And when the
data entry is performed by the customer, it slows completion
of the sale, which can cause irritation if not frustration,
especially if the desired product is unavailable.
Plus,
what customer really wants to provide the "optional" personal
and financial data that is often requested, such as household
income level?
Automatic
updating When a customer places an order over the Internet,
wouldn't it be simpler and easier to have the customer complete
just one or two simple questions, such as name and address,
and have all the other relevant data -- such as delivery
preferences, buying history and other demographic and psychographic
profile information -- automatically updated and retrieved?
Similarly,
when the order is handled by a CSR working in an Intranet
environment, a complete data profile of the customer can
be made available online and in real-time. This data can
provide the CSR with the ability to build an instant 'relationship'
with the customer, and interact with the customer just like
the maitre de in the favorite restaurant.
And
with a relationship established, a far more focused selling
effort can begin in minutes if desired. In fact, having
the ability to populate customer records with additional
data enables e-businesses to take their CRM a step further
to grow the customer relationship.
The
updated data -- in both the Internet and Intranet examples
-- can be formatted into a follow-up contact by mail, phone
or e-mail to check on customer satisfaction, or to extend
a special promotional offer related to the previous transaction.
Help
in detecting fraud The vast majority of customers are honest,
but there are always a few that aren't. So businesses must
strike a balance. They can't completely ignore the risk
of fraud just as they can't force 100 percent of customers
to endure the "third degree" style of interrogation needed
to locate the one or two percent with fraudulent or criminal
intentions.
A far
better strategy is to quickly separate the good customers
from those that present a risk, allow the valid transactions
to proceed unimpeded, and focus more closely on the potentially
bad transactions to determine if they really are a problem.
Accurate customer data help achieve that goal.
Since
all pertinent information about a customer can be accessed
virtually instantaneously, a CSR -- or the program controlling
the online transaction -- can begin asking additional questions
to better qualify the customer and determine if fraud is
a possibility.
Simply
inquiring about discrepancies in shipping and mailing addresses,
or unusual changes in spending, can uncover fraudulent intentions.
But without access to the full range of customer data, a
CSR is little more than an 'order taker' and the opportunity
to fight fraud has been lost.
As more
businesses migrate to the web, and transactions become more
automated, the need for data accuracy -- as well as the
opportunity to benefit from the use of accurate customer
data -- will continue to increase. Anonymous cash-based
transactions are fast becoming a thing of the past.
Organizations
that are able to capture and utilize accurate customer data
online will have a distinct edge in retaining customers,
increasing sales per customer and growing the business.
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