Goal
Carnegie Mellon University sought data-driven insights using AdSkate's AI to assess the performance of their display campaign's creatives.
Process
AdSkate analyzed CMU's ad creatives and campaign data to assess the performance of creative attributes and parameters.
Campaign Details
Ad Creatives Analyzed: 30
Creative Attributes Identified: 50
Creative Extraction Examples
Objects: Person, jacket, campus
Image Tone: Inspirational
Call To Action: Learn More
Color Scheme: Complementary, Analogous
Campaign Insights Using AdSkate’s AI
- Increased CTR: There was an 82% increase in click-through rate (CTR) for creatives with a white foreground.
- Conversion Insights: Conversions decreased by 36% when the product text “Learn More” was included.
- Boost in CTR: Showing academic buildings in the ad creative led to a 46% boost in CTR.
- Cost Savings: A 14% cost savings was achieved through reallocation of ad spend to high-performing creatives.