How Galaxies AI creates precise and actionable Synthetic Personas

An inside look at the technology and methodology behind profile generation.

At Galaxies, our Synthetic Personas technology represents the convergence of three fundamental disciplines: advanced data science, behavioral psychology, and generative artificial intelligence. The process begins with the collection and anonymization of behavioral data originated from research and structured consumer signals.

The heart of the system is a deep-learning architecture that uses recurrent neural networks and attention models to identify temporal patterns in consumer behavior. This approach allows our Synthetic Personas not only to reflect static behaviors, but also to simulate how attitudes and decisions evolve over time.

Galaxies’ methodological differentiator lies in the integration of behavioral principles into statistical models. While many AI solutions focus exclusively on statistical correlations, our Synthetic Personas incorporate validated behavioral frameworks that explain underlying motivations and decision drivers.

The final interface we provide to marketing professionals allows conversational interactions, like a chat, with Synthetic Personas. This makes it possible to test specific hypotheses, simulate responses to different messages or product characteristics, and visualize how different segments might react.

The result is a tool that not only informs strategies, but actively participates in the creative and decision-making process, fundamentally transforming how companies understand and connect with consumers.