Product Review Data & Consumer Complaints | 160+ Industries | 7M+ Reviews | US & Global

WiserBrand provides a massive, structured dataset of authentic product review data and service-level consumer complaints. Spanning over 160+ industries and covering 140,000+ public and private brands, this database captures the unfiltered reality of customer experiences globally, with a primary focus on the United States. Unlike generic 5-star rating datasets, this data provides deep contextual insights, making it a reliable "ground truth" resource for a wide range of institutional, corporate, and technical applications. What’s Included in This Dataset: Each record is highly structured and strictly stripped of Personally Identifiable Information (PII). Data points include: - Raw Review Text: Unstructured, verbatim consumer feedback detailing product pros, cons, and specific pain points. - Customer Intent: Explicitly stated demands or desired outcomes (e.g., refund, replacement, apology) in the wanted_solution field. - Sentiment Labels: Pre-calculated NLP sentiment scoring (positive, neutral, negative) for every review. - Rich Metadata: Device type, platform, review length, precise timestamps, and geographic location (City, State, Country). - Entity Mapping: Strictly mapped to specific company names, tickers, and industry categories. Use Cases by Industry: 🤖 For AI & Machine Learning Teams: - Fine-Tune LLMs: Train generative AI and chat models on natural, emotion-heavy user language and product feedback. - Train NLP Classifiers: Use the wanted_solution and raw text pairs to bu