Maybe you’ve heard the terms “analytics” or “fundraising data science” and you’re curious about how it can boost your fundraising… but you’re concerned about the expense or if it’s even worth the time and effort. We formed HBG Data Insight specifically to address those concerns.
Our DI work focuses on the needs of nonprofits that don’t have internal analytics and research capacity. In fact, we’re the only consulting company around that provides both data insight and a team of experienced prospect development professionals to help you identify your best prospects, get the deep information you need, and help you manage those prospects through a pipeline.
You can always hire HBG for just analytics, just research, just due diligence, or just prospect management – but isn’t it nice to know you can get the best of all four in one place?
Here’s a menu of our Data Insight offerings:
There are several ways in which we can help you decipher giving information to provide meaningful insight on your constituents. These studies, whether used individually or in tandem, are particularly appealing to organizations that have budget constraints or issues with data that isn’t in perfect shape.
- RFM Analysis, which ranks constituents based on how recently, how frequently, and how substantially they have given to your organization. Combined together, these three scores help surface new, emerging, and lapsed major donors, and give you a simple, strong method to prioritize constituent pools for portfolio assignments.
- Velocity Analysis, which alerts you to constituents that are showing increased interest through their giving. This analysis can also be used to flag opportunities by identifying hidden wealth capacity changes within your donor base.
- Capacity yield analysis, which assesses donor giving compared to your organization’s gift capacity ratings. This analysis is helpful in identifying opportunities within your donor base, as well as testing the accuracy of capacity ratings.
- Lapsed Donor Analysis (LYBUNT/SYBUNT), which provides solid help to fight donor attrition. By focusing on donors who have already supported your organization but who have stopped giving recently, this analysis can help you re-engage with them and encourage upgraded levels of giving.
Engagement analysis measures your constituents’ closeness (affinity) to your organization, by analyzing their past behaviors and attributes, such as event attendance, volunteerism, giving patterns, group memberships, communication response, and more.
This scoring can provide a roadmap to help you determine the quantity and quality of moves needed to secure increased giving and can also help you identify prospects who may need additional attention. Engagement analysis – particularly when applied in tandem with capacity scores or ratings – can help you segment your prospect pool, introduce enhanced efficiency to major gift portfolio management, and inform decision-making on fundraising strategies and goals.
Regional analysis is a way of assessing constituents within a specific geography to be sure that you’re deploying staff and resources efficiently. This analysis can also be used to design programs and events based on geographic areas where your best prospects live and work.
In this type of project, gift officer portfolios are analyzed for the purpose of making sure that prospects are divided appropriately, based on donor capacity, geography, interest, or other factors that are important to your organization. This analysis provides an opportunity for benchmarking and can help identify hiccups in a prospect’s movement throughout the fundraising pipeline and highlight opportunities you may have for better solicitation efficiency.
Predictive modeling is the process of discovering underlying meaningful relationships and patterns that exist within your own data. Using historic and current information from your organization’s database, outside data sources, a range of statistical methods, and our custom-built suite of demographic, financial, and behavioral attribute markers, we can answer the question “Who looks like a likely future donor to your nonprofit?”
Through our analysis, we can predict the actions your donors are most likely to take in the future based on their own attributes and your engagement strategies.
What results from this is a ranked list that can be used for prospect identification, portfolio assignment, and marketing engagement. Predictive Analytics projects may include:
- Major Gift Likelihood Modeling
- Principal Gift Likelihood Modeling
- Planned Gift Likelihood Modeling
- Annual Gift Likelihood Modeling
These four models are particularly useful in conjunction with wealth screening projects, which offer additional data points that can be used in our predictive models and capacity information to cross-reference with modeling results. If you’re considering screening, that’s a great time for data insight as well.