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I’m a Relationship Person! What Do I Do with Prospect Screening Data?. Please take this time before the start of the session to silence your cell phone or pager. Your feedback is valuable. At the end of the session, we ask that you take a moment to complete an evaluation form. Thank you.

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I m a relationship person what do i do with prospect screening data l.jpg
I’m a Relationship Person! What Do I Do with Prospect Screening Data?

Please take this time before the start of

the session to silence your cell phone or pager.

Your feedback is valuable. At the end of the session,

we ask that you take a moment to complete an evaluation form.

Thank you.


I m a relationship person what do i do with prospect screening data3 l.jpg

I’m a Relationship Person! What Do I Do with Prospect Screening Data?

Presented by:

Brian Chapman, President

Grenzebach Glier Philanthropic Analytics

and

David W. Howie, Director Leadership Circle

WETA, Inc.




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Grenzebach Glier Philanthropic Analytics

  • A different paradigm of data analysis in not-for-profit today

    • Historical view of data analysis tools

    • Nascent paradigm to deliver more value

  • High-value donor pipeline issues

    • Continued linear growth through more donors

    • Accelerated exponential growth through bigger donors (converting a single $100 donor into a $100,000 donor generates the same revenue as finding 999 new $100 donors)


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Historical View of Data Analysis

  • Prospect screening

    • Mostly based on hard asset data

  • Predictive models

    • Generic, based on averages of non-peer institutions

    • Speculative, based on even less

  • Subordinate to market/viewership/financial analysis done by the private sector


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Append constituent information

Analyze historical giving behavior

  • Who gave

  • How they gave

    ­How frequently

    ­When

  • Benchmarked against peers

  • Not just hard assets

  • Marketing segments

  • Demographics

A New Paradigm Is Emerging That Will Deliver More Value

Create custom predictive models/resource plans

  • Who should we be cultivating, visiting, soliciting, calling, emailing

  • With what likelihood of success


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This New Approach to Data Analysis is Based On Three Fundamental Assumptions…

  • Organizations have ever-increasing amounts of data, but are extracting decreasing value from it (and from their investments in it)

  • There is a small but fast-growing influence of private sector practices in the non-profit world

  • There are no spare IT resources to devote to the task of analytics


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…And One Key Objective Fundamental Assumptions…

  • Help make resource allocation decisions about how to deploy staff and programs to:

    • Raise money effectively in current/upcoming development programs

    • Keep the pipeline full for subsequent programs and future priorities

    • Expand resources in areas with the greatest yield, and reduce resources elsewhere


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Appended Data: Fundamental Assumptions…More Than Just Hard Assets


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Hard Asset Data Fundamental Assumptions…

Company affiliation

Non-profit board affiliation

Real estate ownership

Insider stock holdings

Some retirement accounts

FEC and some charitable contributions

Demographic/Marketing Data, e.g.,

Age

Income

Home Market Value

Marital status

Presence of Children

Vehicles

Mail response behavior

Market Segmentation

Relative wealth

Lifestyle preferences

Consumer behaviors

Philanthropic tendencies

The Information Available to Us Is Much Greater Than Hard Assets


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Market Segmentation is Used Widely for Big Decisions Fundamental Assumptions…in Private and Non-Profit Sectors

To develop its predictive model of store performance and site location

For market and sales performance analysis; drove higher U.S. sales among target audiences

Marketing segmentation to drive communication messaging


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Key Findings from Screening 29 PBS Stations Fundamental Assumptions…

  • Effective segmentation means people with more capacity are asked to give more, and are in fact responding

    • Increasing the ask amounts in direct mail and telephone programs for higher-income people has resulted in larger gifts

    • Selection of the most promising prospects (longer-term, loyal donors with high incomes, high home values, and a highly philanthropic market segment) for personal visits prioritizes resources and identifies actionable steps


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Key Findings from Screening 29 PBS Stations Fundamental Assumptions…

Even on a station-by-station level, donors to Public Broadcasting have a similar wealth distribution to donors to other leading organizations



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Effective Segmentation is Critically Important Ranges

  • Across PBS Stations, the largest gifts from high income donors were very similar to the largest gifts from lower-income donors

  • Through Pledge Drives and other vehicles, all donors are receiving the same messages—and same solicitations

  • Simply asking higher-value donors for larger gifts will have an immediate benefit


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Example: They were going to ask her for $10,000 Ranges

16 gifts to the station totaling over $7,500

$21 million

in real estate

$89 million

in stock

Salary $724,000

Serves on at least 3 not-for- profit boards


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Using Screening To Qualify Prospects Ranges

  • This prospect:

    • Is worth tens of millions of dollars

    • Has made 16 gifts over an 18 year period

    • Has made $1 million+ gifts to other organizations

  • Next steps were:

    • Scratch the $10,000 ask plan

    • Personal invitation to meet the CEO

    • Preparation of a proposal for a $100,000 capital gift with naming opportunities, and a $10,000 annual commitment


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Case Study: WETA Ranges

  • Key Priority

    • To increase support form donors by targeting qualified donor populations for specialized moves management

  • Screening Applications

    • Identify current Leadership Circle ($1,000 +) donors financially capable for upgrades

    • Identify Membership (<$1,000) prospects financially capable for upgrade to Leadership Circle

    • Additional Research (e.g. ability to discern philanthropic interest(s) through charitable donation history and/or philanthropic involvement)


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Case Study: WETA Ranges

  • Submittal Strategy

    • Selection Criteria (handout)

    • Proposed and Revised Timeline of Submittals (handout)

    • Client Defined Fields

    • Segment donors into discrete groups for selective events, solicitations, etc.

    • Example submittals


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Case Study: WETA Ranges

  • Results

    • Targeted Integration into Portfolios

    • All donors rated 1 & 2 are assigned to staff

    • Targeted Cultivation for Specific Groups

    • Event Mailings


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Top Tips: A Provider and Practitioner’s Perspective Ranges

  • Identify program objectives before screening

  • Begin with the end in mind

  • Analyze internal infrastructure necessary to implement screening results

  • Use segmentation to prioritize resources


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Top Tips: A Provider and Practitioner’s Perspective Ranges

  • Identify actionable steps

  • Consider all data to establish appropriate strategies to achieve program objectives


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Contact Information Ranges

Brian Chapman

President, Grenzebach Glier Philanthropic Analytics

Grenzebach Glier & Associates, Inc.

401 N Michigan Avenue, Suite 2800

Chicago, IL 60610

(312) 372-4040

[email protected]

David W. Howie

Director, Leadership Circle

WETA, Inc.

2775 South Quincy Street

Arlington, VA 22206

(703) 998-2443

[email protected]


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