14.06.2011 14:30:00

Target Analytics Introduces Mid-Level Donor and Alumni Engagement Custom Modeling

Blackbaud, Inc. (Nasdaq: BLKB) today announced the availability of two new custom modeling solutions from Target 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.

Furman 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 engagement cultivation.

"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.

About Blackbaud

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.

Forward-looking Statements

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.

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