Use machine learning to reduce donor attrition
and increase donations and regular giving. It’s
smarter fundraising for NFPs.
What you can do
Dataro uses state-of-the-art machine learning to generate propensity scores for all your donors, so you can contact the right donor, with the right message, at the right time. Use your existing data to increase campaign revenues, reduce fundraising wastage, and understand campaign ROI in advance.
Acquiring a new supporter is a lot more expensive than retaining an existing one. Use accurate attrition modelling to proactively prevent donor attrition.
Regular givers are amongst your most loyal supporters. Take the guesswork out of your upgrade campaigns by using propensity scores and targeted upgrade lists.
Get smart about your direct mail and telemarketing appeals and only include donors who want to hear from you and are likely to say ‘yes’ to your ask.
Retention and engagement are incredibly important to us, but without a dedicated data scientist, our direction was limited. With Dataro’s software, we are able to direct resources to the right place, at the right time. Now our marketing campaigns are more targeted and more cost-effective.
Luke Giuliani, CTO of Greenpeace Australia
Stay in the loop
Like many NFPs, donor attrition (sometimes called churn) has a big impact on the capacity for Greenpeace to fund its causes. Dataro used machine learning to address this problem, with great results!
There is a lot of information out there about what machine learning can and cannot do for businesses and charities, but there is also a lot of misinformation! In this article we would like to address a few of the common misconceptions we’ve encountered in the NFP space.
Everyone is familiar with the notion that it is cheaper to retain an existing donor than it is to acquire a new one. Just how much cheaper will vary between organisations, but the sheer expense is why donor retention is front-of-mind for today’s fundraisers in the increasingly competitive NFP landscape.