A body of work applying music cognition and predictive-coding neuroscience to brand memory: how brand structures are built, sustained, and eroded across repeated encounters over time. Published research, three original constructs, and an empirical programme in development.
Existing brand science measures whether a brand is recognised. It does not measure whether a brand can still surprise.
The gap this work addressesExisting theory explains the evaluation of a brand at a single point of exposure. It does not explain the temporal dimension: why some brand encounters produce deep, durable memory traces while others of equivalent frequency fail to encode. This paper bridges music cognition, where predictive coding is characterised with the greatest empirical precision, with consumer neuroscience. Its central move reframes prediction error as a dual-function signal that both corrects the consumer's model and generates the reward and attention that drive encoding, relocating the strategic goal from minimising prediction error to calibrating and sustaining it. Six falsifiable hypotheses are stated, and a behavioural research programme is outlined.
A diagnostic framework distinguishing four brand states, over-converged, under-built, mis-calibrated, and optimally calibrated, based on the convergence state of the consumer's prediction model. It surfaces a condition that recognition-based measures cannot detect.
The neural process by which the brain's prediction engine builds and maintains the model of a brand that determines retrieval speed, encoding depth, and attentional persistence. The mechanism that produces mental availability.
The temporal pattern of brand encounters as a strategic variable, grounded in neural entrainment research: sufficiently regular for the prediction engine to entrain, with strategic deviation that sustains attention independently of total frequency.
The framework's hypotheses are stated for empirical test, and its instruments are designed for institutional collaboration. Enquiries regarding research partnership or licensing are welcome.