Methodology
How we measure brand health and identify leading indicators of decline
Composite Health Score
Each brand receives a composite health score from 0–100, updated weekly. The score aggregates five weighted dimensions that together capture the full picture of a brand's market position — from pricing discipline to community sentiment to management outlook.
Discount Pressure
Measures the depth, breadth, and frequency of markdowns across all tracked retailers. A brand appearing at 40% off across SSENSE, END, and Mr Porter simultaneously scores poorly. We track both the average discount depth and the percentage of SKUs on sale vs. full price.
Community Engagement
Reddit sentiment analysis across r/malefashionadvice, r/goodyearwelt, r/rawdenim, and brand-specific subreddits. We measure discussion volume, sentiment polarity, and engagement velocity (how quickly posts gain traction). Declining Reddit engagement often precedes declining sales by 2–3 quarters.
Sale Frequency
How often a brand runs sales compared to its historical baseline and peer group. Brands that go from two sales per year to four — or that start appearing on flash-sale sites like 260 Sample Sale — are flagged. Off-cycle sales (outside the normal end-of-season cadence) are weighted more heavily.
Management Sentiment
AI-analyzed SEC filings (10-K, 10-Q) for publicly traded parent companies. We extract management discussion sections and score them for language around inventory health, wholesale relationships, and pricing strategy. A shift from strong demand language to promotional environment language is a leading indicator.
Qualitative Signals
Human observations including store closings, pop-up frequency changes, quality decline reports, unexpected collaborations (which can signal either creative vitality or commercial desperation), and Instagram engagement pattern shifts.
Red Flag Indicators
Certain patterns are especially predictive of brand health deterioration. When we detect these patterns, they trigger significant severity signals and heavily weight the health score downward.
First-Time Sale Appearance
When a brand that has never appeared on a multi-brand retailer's sale section suddenly does, it signals a fundamental shift in wholesale pricing strategy. This is often the first crack — once a brand permits markdowns, it rarely reverses.
Sale Frequency Acceleration
If a brand historically runs end-of-season sales twice a year but is now running a third mid-season event, or if sample sales are happening earlier than usual, it suggests excess inventory the brand needs to move. We compare current frequency against a 3-year baseline.
Off-Cycle Sample Sales
Sample sales occurring outside the traditional June/December windows — especially via platforms like 260 Sample Sale — indicate inventory that couldn't be cleared through normal wholesale channels. Multiple sample sales within a 6-month window is a strong negative signal.
Deepening Discount Depth
A brand going from 20% off to 40% off quarter-over-quarter, or appearing at deeper discounts than its tier peers. We track the month-over-month trend in average markdown percentage across all tracked retailers.
Cross-Retailer Markdown Convergence
When multiple retailers discount the same brand simultaneously, it suggests coordinated inventory clearance rather than an isolated promotional event. We flag brands appearing on sale at 3+ retailers in the same 2-week window.
Wholesale Channel Proliferation
Brands appearing at discount retailers (TJ Maxx, Nordstrom Rack) or on marketplace platforms they previously avoided. Once inventory enters these channels, it becomes extremely difficult to maintain brand positioning.
Historical Data Aggregation
Raw signals are only useful in historical context. We aggregate data across multiple time horizons to distinguish seasonal patterns from structural decline.
Week-over-Week Change
The most granular view. We compare current-week health score against the prior week to surface fast-moving situations — a new sale launch, a viral Reddit thread, or a sudden markdown deepening. WoW changes of plus/minus 5 or more trigger alerts.
Monthly Trend
Smooths out weekly noise while still capturing emergent patterns. We track the rolling 30-day average of discount depth, sale event count, and community engagement. This window catches brands that are slowly but consistently deteriorating.
Quarterly Baseline
Establishes the seasonal norm. Fashion operates on a roughly quarterly cycle (pre-season, in-season, end-of-season, inter-season), so 90-day comparisons help us determine whether current behavior is within seasonal expectations or represents a break from pattern.
Year-over-Year Comparison
The most important comparison for identifying structural shifts. Is the brand being discounted more deeply this March than last March? Is the sample sale happening earlier? Are Reddit mentions declining year-over-year? YoY comparison removes seasonal distortion entirely.
Long-Term Trajectory
For brands with sufficient data history, we track the long-term arc. Brands that were never discounted three years ago but now routinely appear at 30% off have undergone a fundamental positioning change — even if any single quarter looks acceptable.
Scoring Thresholds
75–100
Minimal discounting, strong community engagement, controlled distribution. The brand is maintaining its positioning and pricing power.
50–74
Emerging discount pressure, mixed signals. The brand may be entering a promotional cycle or experiencing softening demand. Monitor closely.
0–49
Significant discount activity, frequent or off-cycle sales, declining engagement. The brand is under material pricing pressure.
Data Sources
Retailer Scraping
Daily price and availability monitoring across SSENSE, Mr Porter, END Clothing, Matches Fashion, and 8 independent boutiques
Reddit API
Sentiment analysis and engagement metrics from r/malefashionadvice, r/goodyearwelt, r/rawdenim, and 15+ brand-specific subreddits
SEC EDGAR
Quarterly and annual filings (10-K, 10-Q) for publicly traded luxury and fashion conglomerates
Sample Sale Tracking
260 Sample Sale, Gilt, and direct brand sample sale calendars
Engagement rate monitoring and promotional content frequency analysis
Human Intelligence
Manual observations from industry contacts, store visits, and trade events
Market Pulse health scores are designed to identify leading indicators and are not investment advice. Scores reflect publicly available data and community sentiment; they do not incorporate insider information. See Overview for current market conditions.