Smart Money People
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Smart Money People Data Products: APIs & Datasets
Smart Money People Pricing & Cost
Our data products are priced to suit a range of use cases, from one-off research projects to ongoing analytics and model development.
We offer:
Annual subscriptions for regularly updated datasets (monthly or quarterly)
One-time licensing for static extracts or historical data snapshots
Tiered pricing models based on data volume, granularity, and use case (e.g. internal use vs. model training)
Custom packages for enterprise buyers requiring bespoke slices, API access, or specific licensing terms
Pricing is dependent on scope and access level. We’re happy to provide pricing guidance or a quote based on your specific needs.
Smart Money People Reviews
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Smart Money People Competitors & Alternatives
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WiserBrand.com
Our company, Eqman, engaged with Wiser Brand for their consumer data services, particularly focused on anonymized consumer behavior data. At first glance, Wiser Brand seemed like a reliable partner for gaining valuable insights into consumer trends and preferences. However, our experience revealed several concerns. Wiser Brand provided anonymized data as promised, but the quality of this data was inconsistent. We often encountered gaps in key information, which hindered our ability to make informed decisions. Additionally, the frequency of data updates was slower than expected, impacting our real-time analysis. One of the major issues was the transparency of their data sourcing. While they assured us that the data was anonymized and compliant with privacy regulations, their explanations lacked detail. This raised doubts about the ethical standards behind their operations, which is a critical factor for any business handling sensitive consumer information. In conclusion, while Wiser Brand offers a unique product in anonymized consumer data, the inconsistencies in data quality and transparency issues made the experience less than satisfactory. We would recommend proceeding with caution when considering them as a data provider.
Unwrangle
Unwrangle enables the easiest way of scraping the reviews on the web, covering Yelp, Amazon, etc. Which are the great sources for doing research. It's very quick, simple, and accurate. Customer help service is surprisingly helpful. Highly recommended!
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About Smart Money People
Smart Money People in a Nutshell
As the UK’s most comprehensive financial services review site, Smart Money People helps companies and the people who buy their products to create more transparency in financial services. We share the collective experiences of consumers to provide insights and ideas that will help shape the future of finance.
Smart Money People is where people read and leave reviews about financial services companies and their products so others can make smarter decisions about who to trust for products and financial services companies understand how to improve and provide a better service to their customers.
Having collected over 2.5 million customer reviews, we’re the UK’s most comprehensive financial services review site. And we don’t just collect reviews at a company level - consumers can also leave feedback about individual products which deepens the insights.
Country Coverage
Data Offering
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.
Use Cases
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.
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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.
Related Searches
Data Sources & Collection
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.
Key Differentiators
Smart Money People is the only UK-based data provider offering verified consumer and broker reviews exclusively for financial services. Our data is independently collected - not scraped or second-hand - and includes both structured ratings (e.g. satisfaction, NPS, service quality) with rich written feedback.
What sets us apart:
Dual-source dataset: Includes feedback from both everyday consumers and mortgage brokers, giving a 360 view of the market.
Financial services-only focus: Deep sector specialisation ensures consistent categorisation, relevant metrics, and clean product-level granularity.
Enriched data: We apply proprietary NLP models to generate sentiment scores and thematic tags, making our review data instantly analysis-ready.
Trust and quality: All reviews are verified and moderated. Our data is not influenced by brands or marketing activity.
Flexible access and licensing: Tiered pricing, anonymised sample previews, and optional custom slices by product, brand, or timeframe.
Whether you’re benchmarking customer experience, building a model, or tracking competitor sentiment, we offer depth, transparency, and insight you won’t find elsewhere.
Integrations
Frequently asked questions about 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.