Below are the five things attendees will come away learning:
1. What you should expect from a Database.
2. How to get the most out of your system.
3. The importance and value of s system that is easy to use.
4. Understanding what data needs to be collected.
5. The difference between Process Data versus Analyzing Data.
2. 2
What We Want to Cover
Analytics
Data-driven Big or Smart?
What to
Measure
Watch Out!
Databases
Fundamentals – What should a
marketing database do for you?
Utilization – How will your
organization use it?
4. The “copycat” fundraising era is over, and it is
imperative to articulate your unique position.
• The types of data collected and metrics that are important to
your organizations are no longer the same even within the
same verticals.
• Today’s leading organizations are leveraging their data to build
new relationships, develop more dynamic segmentation
strategies, and seeking new opportunities for growth.
“What is important to our organization?”
5. Database Fundamentals
Imagine that your organization effectively used all relevant
information to make smarter decisions for sustained growth
7. Data and gift sources: The Old Model…or
better yet, the “Good Ol’ Days”
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Donor
TM
Direct Mail
Website
Planned/Major
Gifts
Social
Mobile
Video
Canvass
DRTV
Online Ads
Today, databases are
more flexible to meet
the evolving needs of
organizations
Landing
Pages
Events
b
Email
9. What You
Should
Expect
From a
Database
to Achieve
those
Goals?
It should be the one place where all the relevant data is
housed.
Enables you to follow consistent business rules
across multiple channels (more on this later!)
Has the capacity to grow as you grow.
Captures necessary data based on program needs.
Has good “standard” reporting in order to increase
productivity by allowing you to leverage data for
better decision making.
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10. GiGo = Garbage in/ Garbage out…
Ask yourself, how should we be handling our data?
1. Collect what you only need to.
2. Question how the data will be used.
3. Discuss how will you get the data in…and just as
important, how will you get it out?
4. Am I being consistent with how data is being collected
& stored?
5. Is anything missing that will render the data less
useful (or useless)?
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11. Analytics
The key to maximizing value and sustained growth is getting the
right information to the right people at the right time
12. Data and Decision-making
Expectations
74%
67%
61%
78%
• How has access to useful data improved your ability to deepen
your bond with your most valuable constituents over last year?
• To what extent do you believe that leveraging data to gain a
deeper understanding of your most important customers has
allowed you to grow/find more?
• To what extent do you believe that senior management expects
you to make more data driven solutions over the next 12-24
months?
• To what extent do you believe that access to smart data has
helped improve your ability to innovate over last year?
Source: Fall 2013 MIT and SAS Institute Study
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14. 14
• into what levers you need to pull to grow – to make better decisions and
create better business models.
Insight…
• current tactics through innovative testing.
Improve…
• your reach to new audiences and deeper ties with current supporters.
Increase…
• more effectively in order to manage risk, budgets, forecasts, communications.
Invest…
What are we trying to do with all
this data?
15. 15
Descriptive – What is
happening now?
Diagnostic – Why is it
happening?
Predictive – What is
going to happen?
Prescriptive – What
should we do?
Value in Your Analytics - DDPP
4 types of data that need to utilized in strategic
decision-making:
16. 16
• Benchmarking – How do I compare to other organizations?
• Performance Indicator – Has my membership composition shifted?
• Investments Analytics – Which channel brings in the highest valued donor?
• Performance Reports – Which campaign brought in the most new donors?
• Segmentation – What segments worked for our test?
• Communication Analytics – How do I best convert online leads?
• Channel Analytics – How do you leverage Online media for growth?
Analytics – Many types
17. Some Measures of Success
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• Response Rates
• Average Gifts
• Net
• ROI
• Long Term Value
• Conversion Rates
• Upgrading/ Downgrading
Basics
• Investment Level Metrics
• MYM Target Development
• Net LTV
• Engagement - Retargeting
• Community Impacts
• Pathway to Value Metrics
Next Level
18. “Orgs Manage What They Measure”
• Define what productivity means to you and your
organization
• Make sure the metrics are thought out and action
oriented
• Capture benchmarks and set sustainable goals
• Ensure there are processes in place to get the data
you need
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19. Watch out!
Unintended Analytical Biases – some may have an
interest in a test working.
Manage what you Measure – be sure actions are in tune
with KPIs.
Lack of Data or Experience hinders Insight – who is
setting up and who is reviewing?
Always be skeptical!
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