Case Study | Fashion Industry
Surpassing Goals: REVOLVE's AI-Enhanced Paid Social Strategy
Learn how fashion e-commerce powerhouse REVOLVE turned to Dash Hudson to add a data-backed layer to its content selection for paid social campaigns.
Learn how fashion e-commerce powerhouse REVOLVE turned to Dash Hudson to add a data-backed layer to its content selection for paid social campaigns.
Read the Case Study
Learn how REVOLVE uses Dash Hudson to:
- Revolutionize its paid creative strategy.
- Leverage visual intelligence technology to select content for its paid social campaigns.
- See a +70% return on ad spend compared to a campaign with images the brand would have used otherwise.
Results
6.8x
95%
A Step Ahead of the Competition
REVOLVE had a firm grasp on what type of content engaged its organic Instagram audience, but needed to better understand what imagery drove ROI for paid social campaigns. REVOLVE’s ads team turned to Dash Hudson to select creative for ads with visual predictive technology.
REVOLVE + Vision
Dash Hudson’s Vision technology uses computer vision and machine learning to build brand-specific prediction models for photos. REVOLVE partnered with Dash Hudson to analyze a set of potential images to use in an advertising campaign. REVOLVE selected the images that Vision predicted to be high performers, and using Facebook’s A/B campaign testing, compared the results to photos they would have used otherwise.
A Trendsetting Creative Strategy
Consumers want to connect with their favorite brands in meaningful ways, be it organically or through paid content. In today’s crowded social space, every interaction counts. With optimization from Vision, REVOLVE’s paid creative strategy is slaying the status quo. Vision enables the REVOLVE team to consistently outperform their advertising KPIs and serve their audience the outfit inspo they want most.
What We Can Learn From REVOLVE’s Strategy
Data-Driven Content Selection
Enhanced Targeting and Efficiency
