Software Engineering

How Carnegie Mellon University Achieved 45% Boost in Conversions with AdSkate's AI-Powered Insights

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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.

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