14 datasets found
  1. e

    Orion Consumer Spend

    • earnestanalytics.com
    Updated May 2, 2023
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    Earnest Analytics (2023). Orion Consumer Spend [Dataset]. https://www.earnestanalytics.com/datasets/orion-credit-card-data
    Explore at:
    Dataset updated
    May 2, 2023
    Dataset authored and provided by
    Earnest Analytics
    Area covered
    US
    Description

    Predict revenue surprises, track market share, and compare performance metrics for thousands of companies based on anonymized debit and credit card data of millions of US households. Orion data is sourced from a variety of US financial institutions with broad geographic and demographic representation, combined to create one of the most comprehensive and accurate views of the consumer economy. AI-powered earnings predictions available for over 450 tickers on this dataset through EarnestAI Reported Metric Predictions.

  2. Envestnet | Yodlee's De-Identified Credit Card Data | Row/Aggregate Level |...

    • datarade.ai
    .sql, .txt
    + more versions
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    Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Credit Card Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-de-identified-credit-card-data-row-agg-envestnet-yodlee
    Explore at:
    .sql, .txtAvailable download formats
    Dataset provided by
    Envestnethttp://envestnet.com/
    Yodlee
    Authors
    Envestnet | Yodlee
    Area covered
    United States of America
    Description

    Envestnet®| Yodlee®'s Credit Card Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH 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®'s financial technology platform.

    Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). 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.

    Investors, corporate researchers, and corporates 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? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

    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 thousands 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. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - 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, and Salary Benchmarking

    1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

    2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

    3. Market Data: AnalyticsB2C 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, and Trend Analysis

  3. e

    Vela Gamma Consumer Spend

    • earnestanalytics.com
    Updated Apr 23, 2023
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    Earnest Analytics (2023). Vela Gamma Consumer Spend [Dataset]. https://www.earnestanalytics.com/datasets/vela-gamma-credit-card-data
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    Dataset updated
    Apr 23, 2023
    Dataset authored and provided by
    Earnest Analytics
    Area covered
    US
    Description

    See earnings predictions for hundreds of public companies, powered by Earnest AI solutions suite. Predict revenue surprises, track market share, and compare performance metrics for thousands of companies based on the anonymized aggregate credit and debit data of millions of US accounts. Vela data is sourced from a variety of US financial institutions with broad geographic and demographic representation, combined to create one of the most comprehensive and accurate views of the consumer economy. AI-powered earnings predictions available for over 450 tickers on this dataset through EarnestAI Reported Metric Predictions.

  4. e

    Vela Velorum Consumer Spend

    • earnestanalytics.com
    Updated Jul 6, 2023
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    Earnest Analytics (2023). Vela Velorum Consumer Spend [Dataset]. https://www.earnestanalytics.com/datasets/vela-velorum-credit-card-data
    Explore at:
    Dataset updated
    Jul 6, 2023
    Dataset authored and provided by
    Earnest Analytics
    Area covered
    US
    Description

    Predict revenue surprises, track market share, and compare performance metrics for thousands of companies based on the anonymized aggregate credit and debit data of millions of US accounts. Vela data is sourced from a variety of US financial institutions with broad geographic and demographic representation, combined to create one of the most comprehensive and accurate views of the consumer economy.

  5. d

    Convenience Stores, USA, Top 10 | 32k+ PoIs with 15+ Attributes | monthly...

    • datarade.ai
    .json, .xml, .csv
    Updated Apr 16, 2025
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    xavvy (2025). Convenience Stores, USA, Top 10 | 32k+ PoIs with 15+ Attributes | monthly updates | API & Datasets [Dataset]. https://datarade.ai/data-products/convenience-stores-usa-top-10-32k-pois-with-15-attribut-xavvy
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    xavvy
    Area covered
    United States
    Description

    Xavvy fuel is the leading source for location data and market insights worldwide. We specialize in data quality and enrichment, providing high-quality POI data for convenience stores in the United States.

    Base data • Name/Brand • Adress • Geocoordinates • Opening Hours • Phone • ...

    15+ Services • Fuel • Wifi • ChargePoints • …

    10+ Payment options • Visa • MasterCard • Google Pay • individual Apps • ...

    Our data offering is highly customizable and flexible in delivery – whether one-time or regular data delivery, push or pull services, and various data formats – we adapt to our customers' needs.

    Brands included: • 7-Eleven • Circle K • SAlimentation Couche Tard • Speedway • Casey's • ...

    The total number of convenience stores per region, market share distribution among competitors, or the ideal location for new branches – our convenience store data provides valuable insights into the market and serves as the perfect foundation for in-depth analyses and statistics. Our data helps businesses across various industries make informed decisions regarding market development, expansion, and competitive strategies. Additionally, our data contributes to the consistency and quality of existing datasets. A simple data mapping allows for accuracy verification and correction of erroneous entries.

    Especially when displaying information about restaurants and fast-food chains on maps or in applications, high data quality is crucial for an optimal customer experience. Therefore, we continuously optimize our data processing procedures: • Regular quality controls • Geocoding systems to refine location data • Cleaning and standardization of datasets • Consideration of current developments and mergers • Continuous expansion and cross-checking of various data sources

    Integrate the most comprehensive database of convenience store locations in the USA into your business. Explore our additional data offerings and gain valuable market insights directly from the experts!

  6. d

    Restaurants, Fast Food, USA, Top 25 | 200k+ PoIs with 30+ Attributes |...

    • datarade.ai
    .json, .xml, .csv
    Updated Feb 20, 2025
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    xavvy (2025). Restaurants, Fast Food, USA, Top 25 | 200k+ PoIs with 30+ Attributes | monthly updates | API & Datasets [Dataset]. https://datarade.ai/data-products/restaurants-fast-food-usa-top-25-200k-pois-with-30-att-xavvy
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    xavvy
    Area covered
    United States
    Description

    Xavvy fuel is the leading source for location data and market insights worldwide. We specialize in data quality and enrichment, providing high-quality POI data for restaurants and quick-service establishments in the United States.

    Base data • Name/Brand • Adress • Geocoordinates • Opening Hours • Phone • ... ^

    30+ Services • Delivery • Wifi • ChargePoints • …

    10+ Payment options • Visa • MasterCard • Google Pay • individual Apps • ...

    Our data offering is highly customizable and flexible in delivery – whether one-time or regular data delivery, push or pull services, and various data formats – we adapt to our customers' needs.

    Brands included: • McDonalds • Burger King • Subway • KFC • Wendy's • ...

    The total number of restaurants per region, market share distribution among competitors, or the ideal location for new branches – our restaurant data provides valuable insights into the food service market and serves as the perfect foundation for in-depth analyses and statistics. Our data helps businesses across various industries make informed decisions regarding market development, expansion, and competitive strategies. Additionally, our data contributes to the consistency and quality of existing datasets. A simple data mapping allows for accuracy verification and correction of erroneous entries.

    Especially when displaying information about restaurants and fast-food chains on maps or in applications, high data quality is crucial for an optimal customer experience. Therefore, we continuously optimize our data processing procedures: • Regular quality controls • Geocoding systems to refine location data • Cleaning and standardization of datasets • Consideration of current developments and mergers • Continuous expansion and cross-checking of various data sources

    Integrate the most comprehensive database of restaurant locations in the USA into your business. Explore our additional data offerings and gain valuable market insights directly from the experts!

  7. Penetration rate of credit cards in Saudi Arabia 2014-2029

    • statista.com
    • ai-chatbox.pro
    Updated Mar 3, 2025
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    Statista (2025). Penetration rate of credit cards in Saudi Arabia 2014-2029 [Dataset]. https://www.statista.com/forecasts/1149807/credit-card-penetration-forecast-in-saudi-arabia
    Explore at:
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Saudi Arabia
    Description

    The credit card penetration in Saudi Arabia was forecast to continuously increase between 2024 and 2029 by in total 16.7 percentage points. After the fifteenth consecutive increasing year, the credit card penetration is estimated to reach 46.83 percent and therefore a new peak in 2029. Notably, the credit card penetration of was continuously increasing over the past years.The penetration rate refers to the share of the total population who use credit cards.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the credit card penetration in countries like Lebanon and United Arab Emirates.

  8. Penetration rate of credit cards in France 2014-2029

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Penetration rate of credit cards in France 2014-2029 [Dataset]. https://www.statista.com/forecasts/1149810/credit-card-penetration-forecast-in-france
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    France
    Description

    The credit card penetration in France was forecast to continuously increase between 2024 and 2029 by in total *** percentage points. According to this forecast, in 2029, the credit card penetration will have increased for the eighth consecutive year to ***** percent. The penetration rate refers to the share of the total population who use credit cards.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the credit card penetration in countries like Belgium and Netherlands.

  9. Penetration rate of credit cards in Germany 2014-2029

    • statista.com
    Updated Mar 3, 2025
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    Statista (2025). Penetration rate of credit cards in Germany 2014-2029 [Dataset]. https://www.statista.com/forecasts/1149786/credit-card-penetration-forecast-in-germany
    Explore at:
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The credit card penetration in Germany was forecast to continuously increase between 2024 and 2029 by in total 4.9 percentage points. After the seventh consecutive increasing year, the credit card penetration is estimated to reach 63.07 percent and therefore a new peak in 2029. The penetration rate refers to the share of the total population who use credit cards.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the credit card penetration in countries like Switzerland and Austria.

  10. Penetration rate of debit cards in the United Kingdom 2014-2029

    • statista.com
    • ai-chatbox.pro
    Updated Dec 19, 2023
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    Statista Research Department (2023). Penetration rate of debit cards in the United Kingdom 2014-2029 [Dataset]. https://www.statista.com/topics/3136/payment-cards-in-the-united-kingdom-uk/
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    Dataset updated
    Dec 19, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    The debit card penetration in the United Kingdom was forecast to continuously decrease between 2024 and 2029 by in total 0.2 percentage points. According to this forecast, in 2029, the debit card penetration will have decreased for the eighth consecutive year to 94.82 percent. The penetration rate refers to the share of the total population who use debit cards.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

  11. Number of debit cards in use in the United Kingdom 2014-2029

    • statista.com
    • ai-chatbox.pro
    Updated Dec 19, 2023
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    Statista Research Department (2023). Number of debit cards in use in the United Kingdom 2014-2029 [Dataset]. https://www.statista.com/topics/3136/payment-cards-in-the-united-kingdom-uk/
    Explore at:
    Dataset updated
    Dec 19, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    The number of debit cards in use in the United Kingdom was forecast to continuously increase between 2024 and 2029 by in total 4.8 million cards (+4.47 percent). After the eleventh consecutive increasing year, the number is estimated to reach 112.2 million cards and therefore a new peak in 2029. Shown is the estimated number of debit cards currently in use.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

  12. Number of credit cards in use in the United Kingdom 2014-2029

    • statista.com
    • ai-chatbox.pro
    Updated Dec 19, 2023
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    Statista Research Department (2023). Number of credit cards in use in the United Kingdom 2014-2029 [Dataset]. https://www.statista.com/topics/3136/payment-cards-in-the-united-kingdom-uk/
    Explore at:
    Dataset updated
    Dec 19, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    The number of credit cards in use in the United Kingdom was forecast to continuously decrease between 2024 and 2029 by in total 0.02 million cards (-0.03 percent). The number is estimated to amount to 63.62 million cards in 2029. Shown is the estimated number of credit cards currently in use.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

  13. Penetration rate of credit cards in Kenya 2014-2029

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Penetration rate of credit cards in Kenya 2014-2029 [Dataset]. https://www.statista.com/forecasts/1149751/credit-card-penetration-forecast-in-kenya
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Kenya
    Description

    The credit card penetration in Kenya was forecast to continuously increase between 2024 and 2029 by in total *** percentage points. After the seventh consecutive increasing year, the credit card penetration is estimated to reach **** percent and therefore a new peak in 2029. The penetration rate refers to the share of the total population who use credit cards.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the credit card penetration in countries like Tanzania and Zimbabwe.

  14. Population share with banking account in Nigeria 2014-2029

    • statista.com
    Updated Feb 6, 2025
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    Statista Research Department (2025). Population share with banking account in Nigeria 2014-2029 [Dataset]. https://www.statista.com/topics/7133/payment-methods-in-nigeria/
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    Dataset updated
    Feb 6, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Nigeria
    Description

    The population share with a banking account in Nigeria was forecast to continuously increase between 2024 and 2029 by in total 11.5 percentage points. After the fifteenth consecutive increasing year, the banking account penetration is estimated to reach 69.8 percent and therefore a new peak in 2029. Notably, the population share with a banking account of was continuously increasing over the past years.The penetration rate refers to the share of the total population with a bank account.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the population share with a banking account in countries like Ghana and Ivory Coast.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Earnest Analytics (2023). Orion Consumer Spend [Dataset]. https://www.earnestanalytics.com/datasets/orion-credit-card-data

Orion Consumer Spend

Transaction Data

Orion Credit Card Data - Earnest Analytics

Related Article
Explore at:
Dataset updated
May 2, 2023
Dataset authored and provided by
Earnest Analytics
Area covered
US
Description

Predict revenue surprises, track market share, and compare performance metrics for thousands of companies based on anonymized debit and credit card data of millions of US households. Orion data is sourced from a variety of US financial institutions with broad geographic and demographic representation, combined to create one of the most comprehensive and accurate views of the consumer economy. AI-powered earnings predictions available for over 450 tickers on this dataset through EarnestAI Reported Metric Predictions.

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