Blackbaud, Inc. (ticker: BLKB, exchange: NASDAQ Global Market (.O))
News Release -
Target Analytics Introduces Mid-Level Donor and Alumni Engagement
Custom ModelingNew models developed to help nonprofits identify and cultivate loyal
CHARLESTON, S.C., Jun 14, 2011 (BUSINESS WIRE) --
Blackbaud, Inc. (Nasdaq: BLKB)
today announced the availability of two new custom modeling solutions
Analytics. The first is a Mid-Level
Giving Likelihood Model, a new service that analyzes the constituent
databases of nonprofit organizations to identify promising, untapped
mid-level giving prospects. The second is the Alumni
Engagement Model which was specifically developed to help higher
education institutions identify engaged alumni and cultivate them to
become supporters. Target Analytics, a Blackbaud company, offers
solutions for donor acquisition, prospect research, benchmarking, custom
modeling, and data enrichment to more than 6,000 nonprofits and has
the largest database of philanthropy
data in the world.
"Mid-level giving custom modeling helps nonprofits maximize the giving
potential of supporters that fall between the annual fund drive and
major gift giving," said Richard Becker, president of Target Analytics.
"Once prospects with the greatest capacity and inclination to give at
the mid-level are identified, nonprofits can focus their time, money,
and staff resources on developing those relationships more
cost-efficiently and with better results."
Target Analytics custom fundraising
models pinpoint prospective donors at every level of giving, as well
as the likelihood that they will give, by systematically analyzing such
personal data as income, age, education, home value, and history of
support. The Mid-Level Giving Likelihood Model analyzes current and
historical data to identify the best potential loyal donors who are
ready to take steps towards becoming major donors. The analysis helps
nonprofits make strategic decisions and adjust cultivation strategies to
realize the true giving capacity of their donors.
University recently worked with Target Analytics to develop a
Mid-Level Giving Likelihood Model to help identify annual donors willing
and able to move to annual leadership giving levels and identify current
leadership donors that would make good prospects for major gifts.
"By defining our specific needs, Target Analytics was able to build a
customized model that enabled us to more accurately categorize our donor
types and uncover current annual fund donors in our database that had
the highest propensity to move to the next level," said Mike Gatchell,
Furman University's vice president for development. "Combined with
target gift range analysis, we now have better visibility into how to
develop a more accurate assessment of our donors and how to cultivate
their growth for maximum giving potential."
Custom modeling for higher education institutions
Blackbaud also announced the availability of Target Analytics' Alumni
Engagement Model to help higher education institutions identify the next
generation of engaged alumni.
"It is very challenging for advancement professionals to fully
understand how alumni interact with their institution," said Becker.
"With many different ways available for alumni to engage, it becomes
that much more important to develop communication streams and programs
that will build a stronger relationship and motivate them to move from a
prospect to a donor."
The Alumni Engagement Model provides a numeric likelihood score based on
a variation of statistical modeling techniques and ranks alumni
according to their propensity to become engaged with an institution.
Once an institution identifies its higher scoring alumni, staff has the
ability to develop targeted strategies around the activities that will
promote greater engagement. In addition, the engagement score can easily
be used in conjunction with other models for annual, mid-level, major,
planned, and target gift range to further identify priority segments for
"We look forward to putting the Alumni Engagement Model into practice at
Furman and are confident that it will provide us with a way to identify
and connect with alumni most willing to become vested in our
university's future," said Gatchell.
The Mid-Level Giving Likelihood Model and the Alumni Engagement Model
are part of a comprehensive portfolio aimed to help nonprofits replenish
their donor pool, identify their best prospects, provide peer-to-peer
comparisons, and ensure a nonprofit's information is as complete and
accurate as possible. With more than 15 years of experience building
fundraising models, Target Analytics' consultants ensure the nonprofits'
research and development staffs understand their results in order to
maximize fundraising efforts.
For more information about custom modeling, visit www.blackbaud.com/modeling.
Blackbaud is the leading global provider of software and services
designed specifically for nonprofit organizations, enabling them to
improve operational efficiency, build strong relationships, and raise
more money to support their missions. Approximately 24,000 organizations
-- including The American Red Cross, Cancer Research UK, Earthjustice,
International Fund for Animal Welfare, Lincoln Center, The Salvation
Army, The Taft School, Tulsa Community Foundation, Ursinus College, the
WGBH Educational Foundation, and Yale University -- use one or more
Blackbaud products and services for fundraising, constituent
relationship management, financial management, website management,
direct marketing, education administration, ticketing, business
intelligence, prospect research, consulting, and analytics. Since 1981,
Blackbaud's sole focus and expertise has been partnering with nonprofits
and providing them the solutions they need to make a difference in their
local communities and worldwide. Headquartered in the United States,
Blackbaud also has operations in Australia, Canada, Hong Kong, the
Netherlands, and the United Kingdom. For more information, visit www.blackbaud.com.
Except for historical information, all of the statements, expectations,
and assumptions contained in this news release are forward-looking
statements that involve a number of risks and uncertainties. Although
Blackbaud attempts to be accurate in making these forward-looking
statements, it is possible that future circumstances might differ from
the assumptions on which such statements are based. In addition, other
important factors that could cause results to differ materially include
the following: general economic risks; uncertainty regarding increased
business and renewals from existing customers; continued success in
sales growth; management of integration of acquired companies and other
risks associated with acquisitions; risks associated with successful
implementation of multiple integrated software products; the ability to
attract and retain key personnel; risks related to our dividend policy
and share repurchase program, including potential limitations on our
ability to grow and the possibility that we might discontinue payment of
dividends; risks relating to restrictions imposed by the credit
facility; risks associated with management of growth; lengthy sales and
implementation cycles, particularly in larger organization;
technological changes that make our products and services less
competitive; and the other risk factors set forth from time to time in
the SEC filings for Blackbaud, copies of which are available free of
charge at the SEC's website at www.sec.gov
or upon request from Blackbaud's investor relations department. All
Blackbaud product names appearing herein are trademarks or registered
trademarks of Blackbaud, Inc.
SOURCE: Blackbaud, Inc.
Melanie Mathos, 843-216-6200 x3307