Case Study: Climate Advocacy Lab achieves real-time ad performance insights with Civis Analytics

Climate Advocacy Lab tags 13,000 ads in hours with Civis Analytics

The Climate Advocacy Lab, which equips the U.S. climate movement with data-driven insights, faced a major challenge in analyzing over $2 million in ad spend across 13,000+ individual ads. Their manual process of categorizing and comparing campaign performance was time-consuming, error-prone, and unscalable, which stalled community learning. They turned to Civis Analytics for a solution.

Civis Analytics implemented its AI platform, integrating Anthropic’s Claude Sonnet model via Amazon Bedrock, to categorize the ads using natural language prompts. This solution processed 13,000 ads in hours, achieving 88% accuracy with light tuning and unlocking real-time benchmarks and performance insights. For Civis Analytics, this transformed the Lab's data into a live asset, enabling instant feedback and helping the community refine storytelling and scale what works effectively.

Climate Advocacy Lab