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Driven by Data Blog

Graphing IRS Data: Contributions Among States

5/2/2022

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​In our recent Water Cooler Chat, we talked about using IRS data to understand charitable giving among US residents. Of course, that afforded me an opportunity to make lots of graphs and charts to study this data more deeply. Here is a look at some interesting statistics related to different US states.
First, notice in this graph that California, Texas, and New York all have the highest levels of median income, but are also the states where people claimed a negative adjusted gross income (see how the little red boxes drop below zero).

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Let’s Talk About Adding Skills and Resources in a Way that Works

4/4/2022

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​“Little by little after a while makes a big pile.” --Anonymous

Over the course of a career, a professional learns a lot of new skills, new locations, new jobs, and new methods. Every time something new gets added to our learning agenda, we can either be excited at the opportunity or resentful of someone else changing our routine. Often we are also feeling too busy doing our normal routines to add in a new skill.

​While discussing new skills and ideas in our Water Cooler Chats, I remind myself that not everyone spends entire Sundays learning new skills or playing with new tools. However, I’m a big believer in doing so, and when I teach, I like to break new skills down into workable pieces. This method may also work for you if you are hoping to gain a new skill but also coping with continual interruptions, meetings, deadlines, and other demands.


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Using NodeXL for Donor Interest Segments

3/8/2022

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In our recent Water Cooler Chat, we talked about using sentiment analysis for getting a glimpse into the minds of our constituencies. For instance, is there a way to understand our donor clusters? Do donors to the new computer lab like to give cryptocurrency, for instance? Gift data itself is the most tracked data that we have, since it is audited. This blog post explores more deeply the idea of uncovering donor interest through relationships among pieces of giving data.

Relationship mapping helps identify natural clusters of constituent characteristics, which can then be used to form segmented solicitation efforts. In other words, moving from a “September direct mail” campaign to an “Online donors who give in September to the computer lab” campaign would help us connect much more personally to members of our audience.

In the Water Cooler Chat, I showed the machine learning technique, cluster analysis. Here is the illustration from my presentation.


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The Donor Journey

2/8/2022

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While working on my book on annual giving analytics, I read a lot from Marketing Sherpa [see an excellent article here:]  This brilliant collection of intelligence on marketing introduced me to the concept of the Customer Journey, and led me to study the Donor Journey.

The Donor Journey differs from the Customer Journey in one fundamental way: The Customer Journey maps a prospective customer’s movements around a website and whether he buys something. The Donor Journey is the entire relationship from engagement through to planned giving -- with a lot of emphasis on communication and responsiveness. Understanding what moves someone forward or backward in a relationship is the core emphasis for both mapping projects. This blog post expounds on a section of our recent Water Cooler chat.
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An NFT Adventure

1/7/2022

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A friend recently asked me to be the statistician on a new NFT project. And so my adventure began, and this blog post shares my experience to help you assess the wealth of prospects who have NFTs.
What are NFTs? Non Fungible Tokens are, essentially, electronic trading cards. You can buy an NFT pet rock; just know that you are buying a digital pet rock graphic. The “Non Fungible” part comes in because your pet rock NFT is secured by the blockchain where it is stored.

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    Authors

    Marianne Pelletier has more than 30 years of experience in fundraising, with the majority in prospect research and prospecting.

    Greg Duke helps Raiser’s Edge clients to optimize their database by implementing data clean-up techniques and creating reporting structures, including dashboards and SQL queries.  He also facilitates data imports into Raiser’s Edge and database administration.

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  • Home
  • About
    • Staupell Team
    • Testimonials
    • Partnerships >
      • Prospect Research Institute
      • Lityx
      • TouchPoints
      • Gravyty
  • Services
    • Fundraising Analytics
    • Prospect Development
    • Business Intelligence
    • Database Administration
    • Fundraising Optimization Solution
  • Training
    • Analytics Machine Learning Artificial Intelligence
    • Business Intelligence Visualization Reporting
    • Prospect Research and Management
    • Webinars
    • Classes >
      • Beginner Analytics Using R
      • Analytics Classes
      • Skill Builder Series
    • Workbooks
  • Blog
  • Events
    • Water Cooler Chats
    • Video Replays
  • Contact