Title: Not all Major Donors are on the Sunday Times Rich List
1Not all Major Donors are on the Sunday Times Rich
List
2Fundraising Research ManagerThe Stroke
Association
Mathew Iredale
Miredale_at_stroke.org.uk
3This year there were 500 people or families in
the rich list worth over 100 million. I
reckonthat there are at least another 500 worth
100 million who are missing.
Philip Beresford, April 2005
4By extrapolation
There may be some 2000 people or families not in
the rich list who are worth over 25 million.
5Genuine Affinity
6Donor Database
Most development officers dont realize the
value of the information in their databases.
Peter Wylie, Fundraising Consultant
7Donor Database
8Data Screening Companies
- Brakeley
- Chapel York
- Charity Consultants
- Factary
- FR C Ltd
- Heist
- Milestone Research
- Prospecting for Gold
- NFP Resourcing
9Donor Database
- Past Major Donors
- High Value Donors
- Titled Donors
- Job Titles
- Private Banking
10Private Banking
- Adam Co.
- 70,000 income or 250,000 in investable assets.
- Coutts Co.
- 500,000 in investable assets (or 1m in fixed
assets) - HSBC Private Bank
- 1m in investable assets.
11Donor Database
- Data Screening Companies
- Past Major Donors
- High Value Donors
- Titled Donors
- Job Titles
- Private Banking
12Tax Havens
Andorra, Anguilla, Antigua and Barbuda, Austria,
Bahamas, Barbados, Belize, Bermuda, British
Virgin Islands, Campione d'Italia, Canada, Cayman
Islands, Cook Islands, Cyprus, Delaware,
Dominica, Gibraltar, Grenada, Guernsey, Hong
Kong, Ireland, Isle of Man, Jersey, Liberia,
Liechtenstein, Luxembourg, Madeira, Malaysia,
Malta, Marshall Islands, Mauritius, Monaco,
Montserrat, Nauru, Nevis, Netherlands,
Netherlands Antilles, Niue, Panama, Puerto Rico,
St. Kitts and Nevis, St. Lucia, St. Vincent and
The Grenadines, Samoa, Sark, Seychelles,
Singapore, Switzerland, Turks Caicos, United
Kingdom, U.S. Virgin Islands, Vanuatu, Western
Samoa.
13Montserrat
14Donor Database
- Data Screening Companies
- Past Major Donors
- High Value Donors
- Titled Donors
- Job Titles
- Private Banking
- Tax Exiles
15Eurodirects Millionaire Neighbourhood Report
16CACIs Wealth of the Nation 2005
17OurProperty.co.uk
18OurProperty.co.uk
19Donor Database
- Data Screening Companies
- Past Major Donors
- High Value Donors
- Titled Donors
- Job Titles
- Private Banking
- Tax Exiles
- Property
- Data Mining Predictive Modelling
20What is Data Mining?
- The science of extracting useful information
from large data sets or databases. - David Hand, Heikki Mannila Padhraic Smyth,
Principles of Data Mining
- Non-trivial extraction of implicit, previously
unknown and potentially useful information from
data - Vipin Kumar, Michael Steinbach, Pang-Ning Tan,
Introduction to Data Mining
21Whats in a name?
- William versus Bill
- Robert versus Bob
- Richard versus Dick
- Edward versus Ed
- Kenneth versus Ken
- Michael versus Mike
- Ronald versus Ron
- Thomas versus Tom
- Donald versus Don
- John versus Jack
- James versus Jim
- Raymond versus Ray
22More than you may think
23Markers
- Name
- Age
- Home phone number
- Business phone number
- Marital status
- Email
- Spouse/family details
24Marks out of 7
Field Score 1 Score 0 First name Formal inform
al Age gt50 lt50 Home phone Listed Not
listed Business phone Listed Not listed Marital
status Married Single or not listed Email Listed
Not listed Spouse/family Listed Not listed
25Major Donor Specific
Largest donation gt100, score 1 lt100, score
0 Postcode NW3, EH4, EH10, etc. Score 5 AL5,
SW6, KT22, etc Score 4 G77, B91, KT10,
etc Score 3 and so on
26Genuine Affinity
27Beneficiaries
- What services does your organisation offer?
- How are your services offered?
- Where are your services offered?
- Who your services are offered to - beneficiaries.
28TSA Beneficiaries
- Individual stroke sufferers
- Their family and friends
- Individuals at risk of stroke (and their
families) - Doctors, nurses, paramedics specialists
- Research Institutions (universities hospitals)
- The government
- Readers of Stroke News
- Readers of The Stroke Association website
29(No Transcript)
30Time for a break
31Genuine Affinity
- Realise the value of your database
- Good research takes time
- Know all your beneficiaries
32The End!