Dash Social
61 Case Studies
A Dash Social Case Study
Revolve, a fashion e-commerce leader, needed a data-backed way to select images for paid social—while their social team understood organic performance, the ads team lacked a reliable method to choose creatives that would optimize campaign results. They partnered with Dash Hudson and used Dash Hudson’s Vision computer-vision and machine-learning technology to predict which photos would perform best in paid campaigns.
Dash Hudson analyzed candidate images and Revolve ran Facebook A/B tests comparing Vision-recommended creatives to their control images; the Vision-selected ads delivered a 6.8x ROAS (a 70% increase) and a 95% increase in average order value versus control. By using Dash Hudson’s Vision, Revolve consistently outperformed advertising KPIs and improved paid social creative efficiency.