OS/2 Shareware BBS: InfoMgt/InfoMgt.zip/marb91c.zip/MArbor.INF

OS/2 Help File | 1996-03-16 | 38KB | 1,708 lines

ΓòÉΓòÉΓòÉ 1.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 2. 
 ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 2.1.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 2.2.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 2.3.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 2.4.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 2.5.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 2.6.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 3.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 3.1.      ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 3.2.
 ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 3.2.1.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 3.2.2.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 3.2.3.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 3.3.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 3.4.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 4.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 4.1.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 4.2.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 4.3.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 4.4.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 4.5.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 5.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 5.1.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 5.2.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 5.3.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 5.4.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 5.5.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 6.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 6.1.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 6.2.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 6.3.  ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 6.4.   ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 6.5. ! ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 7. " ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 7.1. # ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 7.2. $ ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 8. % ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 8.1. & ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 8.2. ' ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 8.3. ( ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 8.4. ) ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 9. * ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 10. + ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 10.1. , ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 10.2. - ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 10.3. . ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 10.4. / ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




ΓòÉΓòÉΓòÉ 11. 1 ΓòÉΓòÉΓòÉ

The Number Company, Incorporated, is pleased to provide this prerelease version
of MonetaArbor. MonetaArbor is an interactive tool for list managers who need
to identify prospects for some type of promotion activity.

List selection is a process of eliminating records, or table rows in a
relational database, from further consideration. Those records, or table rows,
surviving the process are the prospects.

Successful list managers base their selection criteria on important demographic
characteristics, historical data, and previous promotion responses. Demographic
characteristics include age, gender, zipcode--anything that helps to put a
"face" on a potential prospect. Some list managers buy list enhancement data
from credit bureaus, other list managers, and firms reporting consumer
transactions, like  vehicle registrations. The more data available on a
prospect, the better the decision to include or exclude the prospect from a
forthcoming promotion.

MonetaArbor is an interactive tool for constructing a visual representation of
the elimination process, performing the selection, and reporting on the
results. MonetaArbor produces multiple outcome files for identifying and
isolating prospects and a reporting mechanism that allows list managers to
quickly determine the effectiveness of their selection strategies.

Because MonetaArbor works in "real-time," list managers can modify their
selection strategies to explore and test "what-if" scenarios. MonetaArbor is
the ultimate decision support tool for list managers responsible for producing
cost-effective and profitable promotions.




Agent
A small computer program, written in REXX, charged with reporting the truth or
falsity of a single fact.

Agent Logic
A set of choices that determine when an agent is to be executed.

Child Logic
A set of choices that determine when control should leave the children node(s)
and return to the parent node.

Child Node
A node belonging to another. If the agent logic in a child node reports a true
outcome, then its siblings are visited, or toured, as well. If the outcome is
false, the remaining sibling nodes are not visited.

Connection
A set of choices that determine the nature of the agent. At present, both
choices concern REXX programs.

DDE Conversations
Dynamic Data Exchange (DDE) Conversations allow a node to exchange data with a
spreadsheet. The spreadsheet may contain sophisticated scoring algorithms used
to produce true or false outcomes.

Destination
The location of the agent.

FAT
File Allocation Table (FAT) drives, or partitions, are limited to file names
consisting of a maximum eight (8) character name and a three character extension.

HPFS
High Performance File System is an OS/2 installable component that can coexist
with FAT. An HPFS drive, or partition, permits file names as large as 253 characters.

List Member
Another name for a list record in a flat file input source. As an alternative,
a list member is a synonym for a row from a table of list members. In both
cases, there is a one-to-one correspondence assumed between a list member and a
record or a list member and a row in the table.

Node
A selection tree consists of nodes arranged in an hierarchic relationship,
i.e., parent/child relationships. Each node points to an agent and instructions
for its use.

Outcome Files
Files where a list record is saved when the corresponding node produces a true
or false outcome. Each node may have a true file and a false file.

Parent Node
A node owning one or more child nodes. In general, for the parent node to
produce a true outcome, its children must report true outcomes.

Promote
The act of contacting a list member after first having selected the member.

Prospect
A single record in a file, or a row in a table, representing an individual
passing one or more tests in the selection tree.

REXX
IBM's Restructured Extended EXecutor systems and procedure language. The
language in which agent logic is implemented. REXX is a small, easy-to-learn
language supported on all of IBM's platform systems, Microsoft operating
systems, and UNIX.

Select
Identifying a promising list member based on satisfying some collection of
criteria expressed in a selection tree.

Selection Criteria
One or more tests, represented in the REXX programming logic of a particular
agent, designed to eliminate a list record, or table row, from further
consideration and testing.

Selection Pool
A file of list records having passed the selection criteria in the selection tree.

Selection Tree
An hierarchic collection of agents. Each prospect tours the tree visiting each
node. A node producing a false outcome for the prospect eliminates the prospect
from further consideration.

Sibling Node
Two or more child nodes belonging to the same parent node.