What defines the five types of ad intelligence tools?
Granular keyword-to-creative pairing, accelerated testing cycles and micro-signal interpretation refine spend allocation. Short narrative arcs align better with user scanning behaviour, while structured data views help detect shifts that affect campaign stability. Consistent clustering across states ensures predictable ROAS outcomes across high-scale digital environments.