Case Study: Lort Smith cuts direct mail volume and finds 2,000 new donors with Dataro

Lort Smith adds 2,000 likely donors and cuts 4,000 letters with Dataro

Lort Smith, a major animal hospital in Australia, relies on public donations as it receives no ongoing government funding. The organization partnered with Dataro and used its machine learning technology to improve returns from its direct mail appeals by identifying potential donors within its database that would not normally be included in its campaign.

Dataro trained machine learning algorithms to predict each supporter's likelihood of giving. This analysis identified 4,000 people to remove from the campaign and found 2,000 new, likely donors. The new donors contributed 12% of the campaign revenue, which included a £2000 gift that would have been missed, and the segment achieved an ROI greater than 3.0.

Lort Smith