The Brand Spectrogram is the core analytical view of your brand DNA. It visualises the statistical distribution of every product attribute in your assortment, organised like a periodic table of brand identity. Each cell represents one attribute (e.g., 'Predominant Colour', 'Neckline Style', 'Pattern Type'), and the signal strength shows how concentrated — or dispersed — your brand's choices are for that attribute.

The periodic table layout organises attributes into five domains: Colour & Pattern, Shape & Structure, Material & Texture, Style & Identity, and Commercial & Lifecycle. Within each domain, attributes are grouped by resolution level — MACRO (high-level groupings like colour family), MESO (mid-level distinctions like neckline type), and MICRO (fine-grained details like button count).

Signal strength is derived from normalised entropy. An attribute with low entropy (high signal) means your brand consistently favours specific values — for example, if 70% of your tops are black, the 'Predominant Colour' cell will show strong signal. High entropy (low signal) means values are spread evenly, indicating no strong brand preference for that attribute. This is not inherently bad — some attributes (like size range) should have even distribution.

The heatmap view provides a complementary perspective, showing the actual percentage distribution of values within each attribute. The radar chart aggregates signal strength by domain, giving you a quick read on where your brand DNA is strongest. The combinations view reveals which attribute-value pairs frequently co-occur in your products.

Category filtering lets you compare how your brand DNA varies across product types. Your brand may have strong colour identity in tops but weak shape identity in accessories — the category filter reveals these within-brand differences.