Charities and nonprofits often rely on individual giving to fund their important work. To maximise fundraising income and optimise spend, reaching the right audiences and engaging with existing supporters effectively is crucial. But with so many supporters to engage, how can you ensure you're communicating with the right people in the right way?
Data segmentation plays a pivotal role in creating a fundraising strategy that can help you better understand your supporters and target your fundraising efforts more effectively.
So, if you feel your data segmentation approach isn't quite hitting the mark. Read on to find out how to enhance your data segmentation for effective individual giving targeting and how a data segmentation specialist can help…
Data segmentation involves grouping your supporters based on certain activities like when they last donated, how much they gave, to what campaign, on what product and how often they do it.
Segmentation can also be based on characteristics like their engagement level, lifestyle and demographics or attitudes. This allows you to analyse trends and tailor your asks, messages and other communications accordingly. For example, you may segment by recency and value of gift to set an ask strategy, or by connection to your cause to craft relevant messaging. You can read more about this in our blog on supporter personas.
Segmentation isn't a one-size-fits-all solution - it's a framework to help inform your decision making. As Woods Valldata's Head of Data Strategy & Insight, Helen Daw, explains, "No single segmentation is going to do everything for you."
Segmentation can help you achieve those by:
To name just a few of the main ones… And through these elements, it will tend to drive cost effective and relevant communications for your supporters, therefore improving and lengthening relationships and ultimately lifetime value and income for your charity.
That's just what Battersea embarked on for their charity raffle. Read more about that in this Woods Valldata Case Study.
The ultimate goal of data segmentation is to maximise income from your individual giving by engaging supporters in the most effective way.
By better understanding who your existing supporters are, you can acquire new donors strategically, increase response rates, and nurture long-term relationships that will likely result in larger, recurring gifts over time.
For example, behavioural data like recency and frequency of past gifts allows you to fine-tune your asks. Layering on an understanding of a donor's reason for supporting your cause, such as a personal connection, can help you craft targeted massaging that resonate on a deeper level. The end goal is driving relevance to improve supporter experience, engagement, and fundraising results.
Many charities start simply by looking at transactional data points like recency, frequency, value (product and channel). This basic RFV segmentation provides a framework for targeting and measuring effectiveness. From there, you can layer on additional attributes as your data grows.
It's also never too early to consider the types of information you want to collect. By tagging basic profile fields and transactions from the start, you lay the groundwork for future segmentation.
Don't wait until you have millions in assets - you can get value from a simple spreadsheet initially.
As Sequoia Insights Managing Director, John Kelly, notes: “Predictive modelling using AI is a powerful way to enhance targeting beyond basic RFV. By incorporating additional variables, these models provide granular insights with limited data.” Techniques such as Engagement Scoring can also enhance your segmentations by measuring the level of interaction and commitment of each supporter so communications can be tailored accordingly.
While sophisticated segmentations using attitudinal data can be impactful, keep your initial approach practical. As Woods Valldata's Helen Daw advises, "Make it achievable. It can get really complex - don't be too worried about that."
Aim for 10-20 meaningful segments rather than hundreds of tiny slices. Monitor performance over time to refine your strategy based on results. With a focus on objectives and continuous improvement, data segmentation is a scalable way to deepen supporter relationships through more relevant engagement.
In summary, data segmentation is a best practice for nonprofits seeking to maximize individual giving returns. By better understanding your supporters, you can acquire, engage and retain donors in a tailored way that drives real impact for your cause.
You can start your data segmentation today in your own database. But sometimes it a little help from the experts can go a long way to get the results you’re looking for.
Woods Valldata have a wealth of knowledge around what works for segmentation for your individual giving campaigns. And if you’re looking for a more holistic approach Sequoia Insights can advise and implement a number of techniques to get your data segmentation working effectively for you.
An effective way to diversify your fundraising income is by integrating a charity lottery into your strategy. Woods Valldata’s lottery services help charities:
Contact Woods Valldata today to see how we can help you optimise your fundraising strategy and achieve your fundraising goals.