FHound Brand Intelligence Framework
FHound Brand Intelligence analyzes structural demand attention across global fashion markets using normalized search data. Our framework measures relative positioning, directional momentum, and cross-market alignment within defined competitive universes.
Four core metrics
Each metric isolates a distinct dimension of demand attention structure, enabling layered and precise brand analysis.
Visibility
Relative share of search attention within a defined competitive universe.
Momentum
Directional change in relative search attention over a defined period.
Structural Stability
Consistency of relative ranking across regions and over time.
Cross-Market Divergence
Variability of relative ranking across geographic markets within the same period.
Metric definitions
The methodology below defines how each core metric is calculated and interpreted.
Visibility
Visibility measures a brand or cluster's relative share of search attention within a defined competitive universe and time period. It reflects how prominently a brand occupies demand attention compared to peers in the same market.
Higher visibility indicates stronger relative demand attention within that competitive set. Rankings are comparative and normalized within each region, meaning visibility reflects positioning rather than absolute search volume.
Visibility does not measure revenue, profitability, or financial performance. It reflects relative demand attention structure, not sales outcomes.
Momentum
Momentum measures the change in relative search attention over a defined period (e.g., month-over-month or rolling three-month basis) within the competitive universe.
Positive momentum signals accelerating demand attention relative to peers; negative momentum indicates deceleration. Momentum highlights directional shifts in market attention rather than static position.
Momentum captures movement within the competitive structure. It does not imply revenue growth, financial forecasting, or causal impact.
Structural Stability
Structural Stability refers to the consistency of a brand or cluster's relative ranking across regions or over time.
High structural stability suggests durable positioning within the global demand landscape. Low stability may indicate regional divergence, transitional phases, or localized acceleration. Structural stability is particularly relevant for assessing cross-market transferability and long-term positioning strength.
Cross-Market Divergence
Cross-Market Divergence measures the variability of a brand or cluster's relative ranking across geographic markets within the same time period. It is calculated using statistical variance across regional rankings.
Higher divergence indicates greater variation in relative positioning across markets, suggesting region-specific demand structures or localized acceleration. Lower divergence indicates more consistent positioning across regions, reflecting broader cross-market resonance. Cross-Market Divergence helps distinguish globally stable positioning from geographically concentrated strength.
Interpretive principles
These principles govern how FHound metrics should be read and applied across all analyses.
Relative, not absolute
All metrics are normalized within competitive universes. They reflect positioning relative to peers, not absolute market size or raw search volumes.
Structural, not predictive
Our framework measures structural demand attention. It does not forecast sales, predict revenue, or imply causal relationships between attention and financial outcomes.
Comparative by design
Metrics are only meaningful when interpreted within a defined competitive set. Cross-universe comparisons require careful contextual adjustment.
Directional over precise
Momentum and divergence signals indicate direction and relative shift. Treat them as strategic signals, not exact measurements.