Your AI is making marketing decisions on bad data – here’s how to tell

Most marketing AI underperforms because it relies on poor data foundations.
AI interprets data but cannot create it; fragmented, unstructured, or poorly documented inputs produce unreliable insights.
Key issues include incomplete user journeys, inconsistent metric definitions across platforms, lack of semantic clarity, delayed real-time access, and governance gaps.
Effective AI requires data that is comprehensive, consistently normalized, well-documented, accessible in real time, and governed for privacy and traceability.
Success depends more on reliable data infrastructure than advanced AI models.