Shelter helps millions of people struggling with inadequate housing and homelessness each year through expert advice, support, and legal services.
- Increase donations
- Drive donation amount uplift
- Measurably prove the value and ROI of testing to create a business case
- Deliver and actionable roadmap of tests which will increase support acquisition performance
- Analytics audit: A deep dive to understand traffic, audiences and paths to conversion which would identify conversion drop off points, alongside measurement gaps.
- Research: In-depth user interaction studies, remote usability testing, alongside on-site surveys to uncover visitor behaviour and attitudes including audience motivation, content gaps and anxiety factors.
By comparing the analytics and research findings we found many actionable insights to help us generate A/B test hypothesis. These ideas formed the basis for the experimentation roadmap.
- Identifying quick wine that would be done without testing.
- Understanding the capabilities and complexity of Shelter's current tech stack.
- Attaching potential benefits to each test hypothesis and ranking priority of these benefits to Shelter.
We focused on the core donation landing page, seeking to address value proposition, anxiety and content gaps highlighted through our research. This would drive increases in average donation value.
Some of the specifics that we looked at included positioning of donation amounts, the mechanics of the donation form, and customising the description of impact for each donation amount.
After successful completion of this first experiment, Shelter were able to report:
- +45% uplift in donation value
- +6.43% uplift in conversion rate
- +1,000% ROI
- A clear rationale for budget to deliver more testing