Amid rapid growth in data complexity and technology advancement, many organizations still struggle to manage, understand, and measurably improve their legacy and evolving data ecosystems. In this hands-on data lab, you will learn how to build flexible data enrichment models, reusable tools and repeatable processes to 1) establish a constituent data integrity index/baseline 2) explore, visualize and measure constituent data integrity 3) identify and prioritize opportunities to improve your overall data quality in systematic and sustainable ways towards insights, equity and efficiency.

"Join us for an interactive and guided panel discussion on automating the collection of marketing data, processing this data (ingest, deduplication, matching), and analyzing the data collected (visualize, report, insight delivery). In this session, plan to have open, casual dialogue with the panelists and your DRIVE peers on innovative strategies that streamline the automation of marketing communications such as event data, survey feedback, web analytics, social media, or email interactions. Whether you are just starting with your first survey, or you are looking to find solutions to better marketing automation, you will walk away from this session with useful perspectives on automation and practical applications of data collection."

Personalization matters, and in today's world of AI-driven technology, truly personalizing the donor experience is possible for any size organization. Join this session to see how new technology can help you change your outreach from "send everything to everyone" to producing a truly tailored experience for each donor. Hear key metrics from millions of communications about the power of personalization and how it can more than triple open rates. And hear how St. John's University transformed engagement with new technology that allows for personalization at scale. It's time to do donor engagement smarter, and if you're ready to ignite the passion of individual supporters using new tactics, this session is for you.

I will summarize some of my research findings about bequests and I will explain why I utilized the Panel Study of Income Dynamics (PSID) publicly available dataset. Specifically, I will discuss my research comparing Caucasians and African Americans on their self-rated importance of leaving a bequest to family, charity, and religion, possible reasons for the bequest gap, and what opportunities this presents for education and service to an underserved community. I will wrap up with my study that explores whether lifetime donors to different types of charities also differ in the importance they place on leaving a charitable bequest. As a whole, individuals give more during life, through annual and major gifts, than they do at death. Many of these donors are an untapped resource for planned gifts, some more than others, and this data about which donor types are most likely to be interested in a charitable bequest could inform our conversations about philanthropy.

Most Prospect Management models rely on the gift cycle to categorize prospects. But is this the most accurate way to describe a prospect's philanthropic engagement with the institution? Does a prospect being cultivated for their first major gift really fall in the same category as a seasoned donor being cultivated for their 10th? The Prospect Development Team at Temple University decided to reframe the way they code and report on prospects based on simple measurements on the donors' records. This enabled the team to engage with the fundraisers they partner with to uncover new opportunities and allowed fundraisers to approach their portfolios in a more strategic way.

At our educational institutions, we use assessments and remediation for better student outcomes.
So, how can you improve your data outcomes?

In this session – we’ll cover how to leverage the data quality life cycle to improve your data.

By grading your data (on consistency, validation, and recency) and remediating the elements that aren’t passing the grade – you can ensure that every data outcome is "better".

RFM analysis is a great first step to analyzing and grouping your donors. By summarizing their giving history and ranking by Recency, Frequency, and Monetary values, you can cluster donors into smaller comparable groups. This can help with identifying possible future prospects, searching for a target donor audience, and allow for more personal communications to each group.

All organizations are striving for continuous improvement, and getting feedback from your stakeholders is essential to that goal. One of the best ways to get that feedback is by surveying your constituents - students, families, employees, alumni and/or donors. Learn how to conduct your own survey research, even on a modest (or non-existent!) budget, and collect actionable data to help you improve your organization.

As personalized and curated experiences continue to take over digital and commercial spaces, donor engagement teams must continually innovate to keep up. All-in-one solutions can provide small teams with scalable platforms and comprehensive tools that drive results, but they often come with limitations in product development that don’t meet the needs of individual clients. Over the last year, Georgia State University’s Donor Engagement and Communications team has used data analysis, strategic engagement and personalized outreach to develop an internal donor experience program focused on long-term results: the acquisition and retention of mid-level donors with the aim of carrying them through the “murky middle” and establishing them as our next generation of major donors.