Our predictive anthropology technology is our proprietary sophisticated NLP model, developed and refined over the last decade. This model applies a social anthropology lens to analyze millions of consumer conversations, enabling the decoding and quantification of meaning on an extensive scale.
By immersing itself in the natural contextual language used by humans, the predictive anthropology technology goes beyond simple keyword tracking and instead identifies how consumers associate ideas, beliefs, and values with different topics.
It accomplishes this sophisticated analysis of meaning by constantly maintaining cultural context through a proprietary application of vector databases.
For example, if the term “clean eating” appears frequently in consumer conversations, the platform doesn’t just count mentions—it analyzes the surrounding context to determine whether consumers are referring to organic foods, plant-based diets, or processed-free eating habits. This contextual understanding ensures businesses can act on the deeper motivations behind trends rather than just surface-level data.
Unlike traditional research methods that rely on surveys or interviews (where consumers self-report their opinions), the virtual anthropologist passively analyzes naturally occurring conversations across forums, blogs, and other long-form discussion platforms. This allows it to detect unfiltered, authentic consumer sentiment rather than opinions influenced by survey bias.