David Raab's Review for the "Customer Experience Matrix" - August 2008
David has been one of the most recognized authorities
in the area of marketing technology and analysis for many
years. In April of this year, he reviewed our WiseGuys™
Marketing Software in depth. The following is abstracted
from his blog: "Customer Experience Matrix":
Like a doctor specialized in "diseases of the rich",
I've been writing mostly about technologies for large
organizations: specialized databases, enterprise marketing
systems, advanced business intelligence platforms. But
the majority of businesses have nowhere near the resources
needed to manage such systems. They still need sophisticated
applications, but in versions that can be installed and
operated with a minimum of technical assistance. WiseGuys
from Desktop Marketing Solutions, Inc. (DMSI) is a good
example of the breed. It is basically a system to help
direct marketers select names for catalog mailings and
email. But while simple query engines rely on the marketer
to know whom to pick, WiseGuys provides substantial help
with that decision. More to the point-and this is the
hallmark of a good small business product-it provides
the refinements needed to make a system usable in the
real world. In big enterprise products, these adjustments
would be handled by technical staff through customization
or configurations. In WiseGuys, marketers can control
them directly. Let's start at the beginning. WiseGuys
imports customer and transaction records from an external
fulfillment system. During the import process, it does
calculations including RFM (recency, frequency, monetary
value) scoring, Lifetime Value, response attribution,
promotion profitability, and cross-purchases ratios between
product pairs. What's important is that the system recognizes it can't simply do those calculations on every record
it gets. There will always be some customers, some products,
some transactions, some campaigns or some date ranges
that should be excluded for one reason or another. In
fact, there will be different sets of exclusions for different
purposes. WiseGuys handles this gracefully by letting
users define multiple "setups" which define collections
of records and the tasks that will apply to them. Thus,
instead of one RFM score there might be several, each
suited to a particular type of promotion or customer segment.
These setups can be run once or refreshed automatically
with each update. The data import takes incremental changes
in the source information - that is, new and updated customers
and new transactions - rather than requiring a full reload.
It identifies duplicate records, choosing the survivor
based on recency, RFM score or presence of an email address
as the user prefers. The system will combine the transaction
history of the duplicates, but not move information from
one customer record to another. This means that if the
surviving record lacks information such as the email address
or telephone number, it will not be copied from a duplicate
record that does.
More
to the point-and this is the hallmark of a good small
business product-it (WiseGuys) provides the refinements
needed to make a system usable in the real world.
The matching process can also create an organization
key to link individuals within a household or business.
Selections can be limited to one person per organization.
RFM scores can also be created for an organization by
combining the transactions of its members. As you'd expect,
WiseGuys gives the user many options for how RFM is calculated.
The basic calculation remains constant: the RFM score
is the sum of scores for each of the three components.
But the component scores can be based on user-specified
ranges or on fixed divisions such as quintiles or quartiles.
Users decide on the ranges separately for each component.
They also specify the number of points assigned to each
range. DMSI can calculate these values through a regression
analysis based on reports extracted from the system. The
response reports show detailed statistics by catalog,
source and version codes, including mail date, mail quantity,
responses, revenue, cost of goods, and derived measures
such as profit per mail piece. Users can click on a row
in the report and see the records of the individual responders
as imported from the source systems. The system can also
create response reports by RFM segment, which are extracted
to calculate the RFM range scores. Other reports show
Lifetime Value grouped by entry year, original source,
customer status, business segment, time between first
and most recent order, RFM scores, and other categories. The Lifetime Value figures only show cumulative past results
(over a user-specified time frame): the system does not
do LTV projections. Cross sell reports show the percentage
of customers who bought specific pairs of products. The
system can use this to produce a customer list showing
the three products each customer is most likely to purchase.
DMSI says this has been used for email campaigns, particularly
to sell consumables, with response rates as high as 7%
to 30%. The system will generate a personalized URL that
sends each customer to a custom Web site. WiseGuys was
introduced in 2003 and expanded steadily over the years.
It runs on a Windows PC and uses the Microsoft Access
database engine. A version based on SQL Server was added
recently. The one-time license for the Access versions
ranges from $1,990 to $3,990 depending on mail volume
and fulfillment system (users of Dydacomp http://www.dydacomp.com
Mail Order Manager get a discount). The SQL Server version
costs $7,990. The system has about 50 clients." |