Alternative Data | Aggregated CX Signals & Earnings Predictors | Global Public Companies | Brand ...

WiserBrand provides institutional-grade Alternative Data signals designed specifically for Fundamental and Quantamental equity analysts. This dataset transforms raw consumer complaints, reviews, and support call transcripts into structured, normalized time-series metrics. By tracking deviations from 90-day and 12-month baselines, analysts can pinpoint inflection points in consumer demand and operational efficiency weeks before quarterly earnings are published. Key Features: - Composite Scores: A proprietary Customer Satisfaction Index (CSI) blending sentiment, complaints, and review ratings into a single 0-100 gauge for brand health. - Momentum Indicators: 30-day and 3-month Sentiment Change metrics to detect accelerating customer dissatisfaction or improvement. - Operational Stress Indexes: Normalized volume indexes (e.g., calls_index_90d) that trigger alerts when support traffic deviates significantly from historical baselines. - Margin Risk Factors: Breakdowns of call drivers (refund rates, delivery issues) acting as direct proxies for rising SG&A costs and margin compression. - Institutional Reliability: Every record includes a confidence_score and transcript_coverage_rate to help quantitative teams weight signals appropriately in multi-factor models. Use Cases - Earnings Forecasting: Correlate rising demand (review/call growth) or spiking refunds with upcoming quarterly revenue reports to predict earnings surprises. - Fundamental Equity Research: Use Sentiment Momentum to spot early deterioration in customer retention before it impacts the official balance sheet. - Operational Risk Management: Track specific friction points like delivery_issue_rate across supply-chain heavy sectors (Retail, E-commerce, Logistics). - Quantamental Strategy: Seamlessly integrate ticker-mapped, normalized indexes into systematic trading algorithms.