Smart Money People

What does Smart Money People do?

We collect verified feedback from consumers and brokers across major financial products, offering a uniquely rich view of customer experience, brand sentiment, and service quality. Our curated datasets enable organisations to gain deep insights into customer satisfaction, and build better AI models.

How much does Smart Money People cost?

The supported pricing models for Smart Money People’s data are available by getting in contact with them via Datarade. Get talking to a member of the Smart Money People team to receive custom pricing options, information about data subscription fees, and quotes for Smart Money People’s data offering tailored to your use case.

What kind of data does Smart Money People have?

Consumer Review Data, Sentiment Data, Product Review Data, Consumer Sentiment Data, and Brand Sentiment Data

What data does Smart Money People offer?

Smart Money People provides independently sourced review data across the UK financial services industry. Our datasets combine verified consumer and broker feedback with advanced sentiment scoring, NPS, and thematic tagging. We offer deep insight into brand perception, customer experience, and market trends, all in a GDPR-compliant, analysis-ready format. Ideal for consultancies, researchers, and AI teams, our data supports use cases of benchmarking to model training.

How does Smart Money People collect data?

All data is collected directly through the Smart Money People platform via structured review forms completed by consumers and brokers. These include ratings (e.g. satisfaction, service, value), optional demographic context, and free-text reviews. We apply natural language processing to extract sentiment and thematic insights, alongside robust validation and moderation. Our internal pipelines support enrichment, de-duplication, and schema standardisation to ensure quality and usability.

What are the best use cases for Smart Money People’s data?

Smart Money People’s data supports a wide range of strategic, analytical, and technical use cases across financial services and AI development. Our verified review data - enriched with sentiment analysis, thematic tagging, and structured scoring - gives buyers deep insight into customer and broker experiences. Competitive Benchmarking & Brand Performance Consultancies and CX teams use our aggregated datasets to compare satisfaction, Net Promoter Scores (NPS), and key themes across brands and products. This helps identify reputational strengths, track sentiment shifts, and uncover CX weaknesses in near real-time. Investment Research & Signal Generation Private equity and asset managers use our monthly sentiment and review volume data to assess brand momentum, identify early warning signs, and complement traditional market data with real-world customer feedback. Customer Experience & Product Insight CX leaders and product managers use our structured and free-text data to explore pain points, understand customer needs, and evaluate app performance, service quality, and communications, all based on lived experience. AI/NLP Model Training ML engineers and data scientists use our annotated financial reviews to train sentiment classifiers, thematic extractors, and fine-tune large language models (LLMs). The data is pre-labelled, domain-specific, and cleaned for downstream use. Market Research & Consumer Insight Research teams use our datasets to replace or enrich traditional surveys. With organic, ongoing data collection, we provide unbiased insight into how consumers perceive value, fairness, clarity, and overall service across the sector.