Envestnet | Yodlee Aggregate Consumer Panels consist of aggregated de-identified U.S. consumer banking pattern and credit card transaction level data, offering a wide view of the U.S. consumer ecosystem in near real-time (T+1). Envestnet | Yodlee Aggregate Consumer Panels consist of aggregated de-identified, near-real time (T+1), U.S. consumer banking patterns and credit card transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet | Yodlee financial technology platform. Envestnet | Yodlee Aggregate Consumer Panels include data relating to millions of transactions and is de-identified credit/debit card and bank transactions aggregated and attributed to over 3,600 merchants. Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production. We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data. Collateral: https://livesend.envestnet.com/i/m0KEMktqPPLUSSIGNhxVPlxKPpTnDdIjGMyQ___3tWZSYUYalv3g6UgsXCViuXKeL66C44fAHNzaMq738JlSOe0Kdt___prIC87m1CWDy8ViBwfjpM9wB3sHLyU7txNEcw4LlqzznKE Investors and corporate researchers can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - What is the company’s market share in a area for similar customers? - Is the company’s loyal user base increasing or decreasing? Some Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from hundreds of firms . Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics. Use Cases Categories (Our data provides an innumerable amount of use cases and we look forward to working with new ones): 1. Market Research: -Company Analysis -Company Valuation -Competitive Intelligence -Competitor Analysis -Competitor Analytics -Competitor Insights -Customer Data Enrichment -Customer Data Insights -Customer Data Intelligence -Demand Forecasting -Ecommerce Intelligence -Employee Pay Strategy -Employment Analytics -Job Income Analysis -Job Market Pricing -Marketing -Marketing Data Enrichment -Marketing Intelligence -Marketing Strategy -Payment History Analytics -Price Analysis -Pricing Analytics -Retail -Retail Analytics -Retail Intelligence -Retail POS Data Analysis -Salary Benchmarking 2. Investment Research: -Financial Services -Hedge Funds -Investing -Mergers & Acquisitions (M&A) -Stock Picking -Venture Capital (VC) 3. Consumer Analysis: -Consumer Data Enrichment -Consumer Intelligence 4. Market Data: -Analytics -B2C Data Enrichment -Bank Data Enrichment -Behavioral Analytics -Benchmarking -Customer Insights -Customer Intelligence -Data Enhancement -Data Enrichment -Data Intelligence -Data Modeling -Ecommerce Analysis -Ecommerce Data Enrichment -Economic Analysis -Financial Data Enrichment -Financial Intelligence -Local Economic Forecasting -Location-based Analytics -Market Analysis -Market Analytics -Market Intelligence -Market Potential Analysis -Market Research -Market Share Analysis -Sales -Sales Data Enrichment -Sales Enablement -Sales Insights -Sales Intelligence -Spending Analytics -Stock Market Predictions -Trend Analysis