UNHCR Hong Kong & Wood for Trees
Head of Individual Giving, UNHCR Hong Kong
Kwan Yu Lau
Database Specialist, UNHCR Hong Kong
Data Scientist, Wood for Trees
“Data and time are two of the most valuable assets for fundraising. A data-driven analytics tool with predictive power helps determine which donors to focus on for a faster and more cost-efficient conversion. We are so thrilled to be on board this innovative journey to make a difference!”
Beyond traditional NGO fundraising models. New fundraising products to build long-term relationships with our supporters
New channels, new tools. Increasing relevance and long-term value when engaging with our supporters
UNHCR Hong Kong‘s ultimate aim is to identify ~4,000 prospect donors with an increased chance to convert into middle value/major donor within six to nine months.
A successful pilot would look like 20% of the prospect converted to middle donors in nine months.
Test / Experiment
The experiment will consist of validating the model by A/B testing the traditional model versus the InsightHub model. Moreover, another experiment will be done by testing the most likely to convert into middle donors versus less likely to convert into middle donors based on the new model’s prediction.
A series of 3 appeals will be used to validate the model.