There’s something even more powerful than generative AI, and it's called causal AI.
This subset or approach within “causal Inference” — an area that focuses on understanding the cause-and-effect relationship of independent variables within a larger system – can provide deeper marketing insights, helping us understand relationships between variables and outcomes in complex systems.
While generative AI continues to delight and disrupt in areas such as content creation and advertising, causal AI shifts our focus to measuring and optimizing performance.
Causal AI enables you to:
- Go beyond simple correlation analysis to uncover the cause-and-effect relationships between marketing efforts and outcomes.
- Create, test and validate multiple hypotheses with higher accuracy.
In this article, Tyler Foster, CTO and President of Evolv AI, explores how causal AI can provide deeper marketing insights, helping us understand relationships between variables and outcomes in complex systems.
