The rise of synthetic data has led to the development of a wide range of AI-driven tools, creating confusion for marketers, CX pros, and digital leaders who struggle to distinguish between similar-sounding concepts. This ambiguity around terminology and technology makes it difficult to know which methods to apply, source, or buy. This report clarifies the differences among related terms and explains what each synthetic data-based approach does and highlights distinctions to help business leaders harness the real value these offerings can provide.