Why Synthetic Data (Predictive Persona) Will Shake Traditional Approaches
Recently, a leading beverage company in Kenya took a calculated risk to embed emotional tracking during a product test using Neuro AI. This ground breaking research layered a new element of gathering real time consumer emotional reactions to a new product to help the client to make the critical decision of whether to launch or not.
Actnable Insights helped our client to understand the possibilities around launching a new product in Kenya within the RTD category.
The client sought to understand how sessionable their new product was and unpack what intrinsic and extrinsic factors would drive consumption.
More importantly was the desire to understand what emotions the product elicited on a real time basis during the taste test session for their new product.
Augmenting this new research approach that captures consumer emotional responses with a hybrid methodology helped our client to enhance and provide clarity that helped them to make a precise business decision on whether to launch or not.
To achieve a holistic and unbiased understanding, the Actnable Insights collaborated with another firm and designed a hybrid research study that focused on the groundbreaking emotional tracking technology as described below.
This innovative tool was and is critical for uncovering authentic emotional reactions and it is anchored on a scientifically validated foundation that measures facial expressions that reveal genuine consumer feelings that were measured during their interaction with the product, capturing the immediate, in-the-moment reaction that eliminates bias.
This layer of objective, emotional data provided clear, powerful insights in real time that augmented other methods to provide our client with clear direction on their product.
Key Finding 1: Most consumers had a positive reaction to the product. The emotional tracking of consumer reactions was aligned to their verbal responses. This breakthrough baseline was used to check on market acceptability and risk levels.
Key Finding 2: Context was the primary driver of emotion. This context was either social/performative or quiet/functional that was influenced by the environment which was tracked alongside consumer perceptions on the intrinsic and extrinsic drivers.
Key Finding 3: Our Neuro AI platform decoded subtle emotional cues associated with product consumption that providing our client with invaluable data for marketing.
The integration of Actnable Neuro AI within the study was the key to unlocking a deep, authentic and actionable understanding of consumer behaviour.
These insights helped our client to discover authentic, unfiltered consumer truth and provided nuance and depth. This helped shaped the client’s strategy and positioning by validating the product’s sensory profile that helped their final decision to launch or not based on real time consumer emotional response.
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