Turning Blind Calls into Bullseyes: How Data Empowers Fundraisers with Smarter Targeting

Does data really matter? In the increasingly crowded and vital world of fundraising, every interaction counts. Yet, for busy development teams, the shotgun approach of contacting just about anyone connected to your organisation or institution often yields disappointing results. This is where data steps in, transforming the fundraising landscape from a scattershot endeavour into a … Continue reading Turning Blind Calls into Bullseyes: How Data Empowers Fundraisers with Smarter Targeting

Do you like what we do? How can you measure and track engagement using what you already do.

By Adriana Williams Why is engagement important The traditional pyramid, or its inverted “funnel” counterpart, is (in my opinion) the best demonstration of the role that engagement plays in fundraising. Whether at the top or the bottom, the slice named ‘community’ or ‘potential donors’ is certainly where the vast majority of our constituents sit. In … Continue reading Do you like what we do? How can you measure and track engagement using what you already do.

Saying ‘aloe’ to your new community – tricks for a trouble-free transition

Every year educational charities turn students into alumni and add a new cohort of students. Many charities also have regular schedules of welcoming new supporters and managing changing relationships en mass. In this exclusive, original post on Propper Fundraising, Adriana Williams presents an essential guide to managing this data process. Trigger warning: this post is … Continue reading Saying ‘aloe’ to your new community – tricks for a trouble-free transition

10 Visualisations Every Data Scientist Should Know

Data visualisation plays two key roles: 1. Communicating results clearly to a general audience. 2. Organizing a view of data that suggests a new hypothesis or a next step in a project. It’s no surprise that most people prefer visuals to large tables of numbers. That’s why clearly labeled plots with meaningful interpretation always make … Continue reading 10 Visualisations Every Data Scientist Should Know

7 Steps to Ensure and Sustain Data Quality

Before data science became mainstream, data quality was mostly mentioned for the reports delivered to internal or external clients. Nowadays, because machine learning requires a large amount of training data, the internal datasets within an organization are in high demand. In addition, the analytics are always hungry for data and constantly search for data assets … Continue reading 7 Steps to Ensure and Sustain Data Quality

Have an exit strategy (and other unexpected lessons learned)

Like many of us, Kurstin Finch Gnehm, Deputy Director of Philanthropy at the Royal Academy of Music had an unplanned, crash course in virtual events earlier this year. With four cultivation 'Coffees with the Principal' and a Scholars' Recital in the books and her team still emotionally intact, Kurstin shares some of her lessons learned. … Continue reading Have an exit strategy (and other unexpected lessons learned)