This work helps animal welfare organizations iterate and improve their interventions for higher impact. It also helps funders identify the most promising, cost-effective interventions to invest in as well as what iterations and learning questions need further investment to build an animal welfare program towards effective scale. This data capacity building is currently missing from the animal welfare movement and could increase the confidence of data driven funders in the future.