1. Developing Donor Segments:
A Scientific and Social Approach
to Effective Multi-Channel
Communication Strategy
Advancement Services track sponsored by
Blackbaud
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2. Our Time Together
• Trends impacting fundraising
• National Study on Donor
Motivation
• Segmentation’s Importance
• Case Study
• Discussion
3. Trends Impacting Communication
with Alumni/Donors
• Rise of the non-profits
• Non-funded written marketing plans
• Younger donors
• Female donors
• Technology
8. Meet Jennifer
Just because Jennifer is
able to give does not
mean she is motivated
to give.
How do we understand
who Jennifer is, what
she cares about, and
how to reach her?
9. • Insert slide from page 3 of white paper
segmentation measures
15. How are you using information about
your alumni to segment the
communications that they receive?
16.
17.
18.
19. How to Create Personas
• A number of sources can be
used:
– Database information (engagement
and participation metrics)
– Past giving behavior (LYBUNTS,
SYBUNTS, etc.)
– Prism cluster
– Ability to give
– Attitudinal Data
• Surveys
• Focus groups
• Social Media
20. President Hennessy, “I have more in common
with someone who is a young alum living in Los
Angeles than I do with someone living in my
neighborhood.”
We need to develop personas based on what
people care about and how they want to be
engaged.
34. Today’s session
evaluations
will be e-mailed to you.
Session handouts are available at
www.casefive.org/conference/presentations/
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Netflix: “75% of what people watch is from some sort of recommendation”Amazon: “35 percent of product sales result from recommendations”. 20-30% from other sources
We are doing three types of segmentations at Michigan. The first one is using market basket analysis.
This is exactly what the Amazon’s of the world do. When you buy items in a market, if you buy bread, cheese, you’re likely to buy butter or milk. Perhaps, donors exhibit similar behavior. For non-degree granting, this is an easy way to expand the constituency base.Next slide: Third one is demographic + giving history segmentation
Here we show the characteristics of three clusters. Once we know what type of attributes each cluster has, we label them as “Best, Better, Good”. % Managed is an important factorNext slide: geographic segmentation
Based on the “best” prospects data, we create segments for the whole country, so that the regions can be created optimally. In this case, there are six regions were created based on proximity of the constituents.
Let the fundraisers drive the process.
Added last bullet here per team request in presentation