Predict all the things! Understanding fundraising & predictive modelling

Dataro are the leaders in machine learning for non-profits. Join Dataro CTO Dave Lyndon for this technical deep dive for those who want to know more about the technology, how to use it, what can go right and what can go wrong.

In this chat we’re going to cover:

• What is prediction and how does it apply to fundraising? Learn how improved predictions can be used to run new and better fundraising programs.
• How much more likely is for a donor to give to an appeal than to convert to Recurring Giving? What other factors affect predictability? Find out what Dataro has learnt about the relative predictability of various donor behaviours.
• When predictions don’t. A brief discussion of the ways that predictive models can go wrong, including overfit, bias, variance, model staleness and the ways we spot and overcome these issues in production.
• How can we trust in our own predictions? We peek inside Dataro’s system for selecting models and validation predictions!

If you’ve ever wanted a glimpse ‘under the hood’ of Dataro’s machine learning pipeline, this session is your chance.

We believe state-of-the-art innovation should serve the greater good. So we’re harnessing technology typically used by the big end of town to help not-for-profits fundraise smarter, so they can do incredible things in the world.