Case Study: GoFundMe achieves 5% higher donation volume and 3x more experiments with Amplitude

How GoFundMe Uses Data to Drive More Donations

GoFundMe, the world’s largest free social fundraising platform, struggled with slow product iteration because a small analytics team handled most SQL-based funnels and cohort analyses, creating days-or-weeks turnaround. That bottleneck limited experimentation and slowed product decisions despite the company’s goal of making fundraising faster and easier for organizers and donors.

After adopting Amplitude (Segmentation, Funnels, Cohorts, AB Test View), GoFundMe enabled self-service analytics, tripling testing velocity (from ~2–3 to about 10 tests per month) and freeing analysts for deeper work. The faster experimentation produced clear gains: a 10‑point increase in campaigns shared, a 5% lift in gross donation volume from sharing experiments, a 4% lift from campaign page/UI changes, incremental click-rate improvements (donate +2%, share +3%), and more rapid, data-driven cross-functional decisions.

GoFundMe

Ran Chen

Head of Consumer Product