100+ datasets found
  1. d

    Merchant Cash Advance B2B Data | MCA Leads & MCA Data | 75MM Business...

    • datarade.ai
    Updated Feb 18, 2023
    + more versions
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    McGRAW (2023). Merchant Cash Advance B2B Data | MCA Leads & MCA Data | 75MM Business Records [Dataset]. https://datarade.ai/data-products/mcgraw-merchant-cash-advance-b2b-data-mca-leads-mca-data-mcgraw
    Explore at:
    .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Feb 18, 2023
    Dataset authored and provided by
    McGRAW
    Area covered
    United States of America
    Description

    Unlock the potential of your funding business with our exclusive merchant cash advance (MCA) leads. Our leads consist of business owners actively seeking additional funds to support and grow their operations. These businesses maintain a consistent flow of credit card sales and receivables, making them ideal candidates for merchant cash advances. We drive traffic to our dedicated MCA landing page through strategic pay-per-click (PPC) advertising, social media campaigns, and targeted email outreach. When prospects fill out our comprehensive long-form application, they provide valuable information that transforms them into potential clients for your sales team to convert.

    Why Choose Our Aged MCA Leads?

    At McGRAW, we pride ourselves on delivering aged MCA leads that offer exceptional value. Our leads are meticulously curated to help funding groups and business finance providers efficiently identify and connect with interested business owners who are eager to learn more about obtaining a merchant cash advance.

    Here’s what you can expect when you invest in our aged MCA leads:

    • Opt-Ins for Merchant Cash Advance: Our leads are specifically sourced from individuals who have opted in to receive information about merchant cash advances, ensuring that you’re reaching out to genuinely interested prospects.

    • High Intent Merchants: Our leads consist of merchants with immediate funding needs, making them high-intent candidates ready to explore financing options. This translates to higher conversion rates for your business.

    • Detailed Long-Form Applications: Each lead is gathered through long-form applications that collect over 10 fields of information. This depth of data allows you to tailor your approach and better understand the needs of each potential client.

    • Competitive Cost-Per-Acquisition: We offer cost-per-acquisition (CPA) rates lower than the industry average, maximizing your return on investment and ensuring that you can scale your marketing efforts effectively.

    • Scalability and Large Quantities: Our lead generation capabilities allow for large quantities of leads, giving your team the resources needed to expand outreach efforts quickly. We can easily scale our offerings to match your business growth.

    • Diverse Lead Age Brackets: Choose from multiple lead age brackets to suit your specific targeting strategy. Whether you prefer fresh leads or aged leads, we have options to fit your needs.

    • Unsold Leads Availability: We offer access to unsold leads, providing an additional opportunity for your team to engage potential clients who may not have been contacted yet.

    • National Geographic Coverage: Our leads cover a wide geographic area across the United States, ensuring that you can target business owners in any region effectively.

    • Fast Delivery via API or Email: Enjoy quick access to your leads through our API or email delivery options. This ensures that your sales team can start engaging prospects without delay.

    • Multi-Level Compliance: Our leads are generated in accordance with multi-level compliance standards, ensuring that your outreach efforts adhere to regulatory requirements and best practices.

    • Proven Campaign Tactics: We provide strategies for effective telemarketing, texting, emailing, and ringless voicemail (RVM) campaigns. Our team has honed these tactics to ensure optimal engagement and conversion rates.

    Transform Your Business with Quality Leads

    By investing in our aged MCA leads, you empower your business to connect with motivated prospects actively seeking funding. Our leads are not just data points; they represent opportunities for growth and success. With our targeted approach and comprehensive data solutions, you can enhance your marketing strategies and drive revenue growth.

  2. d

    Data from: Blood Money: Selling Plasma to Avoid High-Interest Loans

    • dataone.org
    Updated Sep 24, 2024
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    Dooley, John (2024). Blood Money: Selling Plasma to Avoid High-Interest Loans [Dataset]. http://doi.org/10.7910/DVN/W9W713
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    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Dooley, John
    Description

    Code, psuedo-data, and plasma center opening data.

  3. United States Retail Sales Nowcast: sa: YoY: Contribution: Money Market:...

    • ceicdata.com
    Updated Mar 10, 2025
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    CEICdata.com (2025). United States Retail Sales Nowcast: sa: YoY: Contribution: Money Market: Secured Overnight Financing Rate [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-retail-sales/retail-sales-nowcast-sa-yoy-contribution-money-market-secured-overnight-financing-rate
    Explore at:
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 23, 2024 - Mar 10, 2025
    Area covered
    United States
    Description

    United States Retail Sales Nowcast: sa: YoY: Contribution: Money Market: Secured Overnight Financing Rate data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. United States Retail Sales Nowcast: sa: YoY: Contribution: Money Market: Secured Overnight Financing Rate data is updated weekly, averaging 0.000 % from Feb 2020 (Median) to 12 May 2025, with 274 observations. The data reached an all-time high of 5.168 % in 14 Sep 2020 and a record low of 0.000 % in 12 May 2025. United States Retail Sales Nowcast: sa: YoY: Contribution: Money Market: Secured Overnight Financing Rate data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Retail Sales.

  4. F

    Houses Sold by Type of Financing, Cash Purchase

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
    + more versions
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    (2025). Houses Sold by Type of Financing, Cash Purchase [Dataset]. https://fred.stlouisfed.org/series/HSTFC
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Houses Sold by Type of Financing, Cash Purchase (HSTFC) from Q1 1988 to Q2 2025 about cash, financing, finance, sales, housing, and USA.

  5. F

    Average Sales Price of Houses Sold by Type of Financing, Cash Purchase

    • fred.stlouisfed.org
    json
    Updated Apr 23, 2025
    + more versions
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    (2025). Average Sales Price of Houses Sold by Type of Financing, Cash Purchase [Dataset]. https://fred.stlouisfed.org/series/ASPTFC
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 23, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Average Sales Price of Houses Sold by Type of Financing, Cash Purchase (ASPTFC) from Q1 1988 to Q1 2025 about cash, financing, finance, sales, housing, and USA.

  6. m

    Data from: DEMONETIZATION AND ITS IMPACT: A STUDY ON INDIAN FMCG SECTOR

    • data.mendeley.com
    Updated May 16, 2023
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    Satyajit Dhar (2023). DEMONETIZATION AND ITS IMPACT: A STUDY ON INDIAN FMCG SECTOR [Dataset]. http://doi.org/10.17632/7w2rg95nkv.1
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    Dataset updated
    May 16, 2023
    Authors
    Satyajit Dhar
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    India
    Description

    Demonetization of all the Rs.500 and Rs.1000 denomination banknotes is an attempt to curb black money, fake notes and to achieve other ancillary objectives. Numerous debates have been held over this move and various pros and cons of demonetization have come into picture. Against these backdrops, in this paper it is tried to find out the immediate effect of demonetization on the FMCG sector. It is likely that immediate cash crunch arising out of demonetization is likely to impact the sales and other performance of FMCG Companies. Analysis is made on the quarterly performance on the selected FMCG companies and annual reports are thoroughly scrutinized to find out the views of the companies concerned on demonetization and its effect. The content analysis is made by searching for terms Like “demonetization”, cash-crunch cash shortage etc. The analysis reveals that most of the sample companies have made some disclosure in the annual report on demonetization. Our analysis reveals that for 7 companies there is absolute negative growth in sales and for 4 companies sales growth is lower as compared to sales growth of corresponding quarter of previous year in respect of December end quarter.

  7. groups

    • kaggle.com
    zip
    Updated Jun 20, 2020
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    Pzero (2020). groups [Dataset]. https://www.kaggle.com/datasets/pedromoya/groups
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    zip(53088827 bytes)Available download formats
    Dataset updated
    Jun 20, 2020
    Authors
    Pzero
    Description

    Dataset

    This dataset was created by Pzero

    Contents

  8. China Henan: Cash Income of FI: Commodity Sales

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China Henan: Cash Income of FI: Commodity Sales [Dataset]. https://www.ceicdata.com/en/china/cash-income-and-expenditure-of-financial-institution-henan/henan-cash-income-of-fi-commodity-sales
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2003 - Dec 1, 2010
    Area covered
    China
    Variables measured
    Monetary Survey
    Description

    Henan: Cash Income of FI: Commodity Sales data was reported at 305,408.484 RMB mn in 2010. This records an increase from the previous number of 245,245.988 RMB mn for 2009. Henan: Cash Income of FI: Commodity Sales data is updated yearly, averaging 258,044.500 RMB mn from Dec 2003 (Median) to 2010, with 8 observations. The data reached an all-time high of 305,408.484 RMB mn in 2010 and a record low of 217,578.000 RMB mn in 2003. Henan: Cash Income of FI: Commodity Sales data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KA: Cash Income and Expenditure of Financial Institution: Henan.

  9. China Zhejiang: Cash Income of FI: Commodity Sales

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China Zhejiang: Cash Income of FI: Commodity Sales [Dataset]. https://www.ceicdata.com/en/china/cash-income-and-expenditure-of-financial-institution-zhejiang/zhejiang-cash-income-of-fi-commodity-sales
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1999 - Dec 1, 2010
    Area covered
    China
    Variables measured
    Monetary Survey
    Description

    Zhejiang: Cash Income of FI: Commodity Sales data was reported at 965,681.000 RMB mn in 2010. This records an increase from the previous number of 846,892.000 RMB mn for 2009. Zhejiang: Cash Income of FI: Commodity Sales data is updated yearly, averaging 646,818.000 RMB mn from Dec 1998 (Median) to 2010, with 13 observations. The data reached an all-time high of 965,681.000 RMB mn in 2010 and a record low of 237,020.000 RMB mn in 1998. Zhejiang: Cash Income of FI: Commodity Sales data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KA: Cash Income and Expenditure of Financial Institution: Zhejiang.

  10. T

    United States - Median Sales Price of Houses Sold by Type of Financing, Cash...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 12, 2018
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    TRADING ECONOMICS (2018). United States - Median Sales Price of Houses Sold by Type of Financing, Cash Purchase [Dataset]. https://tradingeconomics.com/united-states/median-sales-price-of-houses-sold-by-type-of-financing-cash-purchase-fed-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Mar 12, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Median Sales Price of Houses Sold by Type of Financing, Cash Purchase was 428500.00000 $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Median Sales Price of Houses Sold by Type of Financing, Cash Purchase reached a record high of 509000.00000 in July of 2023 and a record low of 100400.00000 in April of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Median Sales Price of Houses Sold by Type of Financing, Cash Purchase - last updated from the United States Federal Reserve on July of 2025.

  11. F

    Cash Receipts from Sales, Total, Large Manufacturing Corporations for United...

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
    + more versions
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    (2012). Cash Receipts from Sales, Total, Large Manufacturing Corporations for United States [Dataset]. https://fred.stlouisfed.org/series/A12036USA144NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Cash Receipts from Sales, Total, Large Manufacturing Corporations for United States (A12036USA144NNBR) from 1915 to 1943 about cash, receipts, corporate, sales, manufacturing, and USA.

  12. T

    Pathward Financial | CASH - Selling And Administration Expenses

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). Pathward Financial | CASH - Selling And Administration Expenses [Dataset]. https://tradingeconomics.com/cash:us:selling-and-administration-expenses
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jul 31, 2025
    Area covered
    United States
    Description

    Pathward Financial reported 1.29 in Selling and Administration Expenses for its fiscal quarter ending in December of 2024. Data for Pathward Financial | CASH - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  13. SRAD: Is Sports Data Leading the Pack? (Forecast)

    • kappasignal.com
    Updated Jan 2, 2024
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    KappaSignal (2024). SRAD: Is Sports Data Leading the Pack? (Forecast) [Dataset]. https://www.kappasignal.com/2024/01/srad-is-sports-data-leading-pack.html
    Explore at:
    Dataset updated
    Jan 2, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    SRAD: Is Sports Data Leading the Pack?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  14. F

    Quarterly Financial Report: U.S. Corporations: All Other Retail Trade: Total...

    • fred.stlouisfed.org
    json
    Updated Jun 10, 2025
    + more versions
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    (2025). Quarterly Financial Report: U.S. Corporations: All Other Retail Trade: Total Cash, U.S. Government and Other Securities [Dataset]. https://fred.stlouisfed.org/series/QFRTCASH2OTRUSNO
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Other Retail Trade: Total Cash, U.S. Government and Other Securities (QFRTCASH2OTRUSNO) from Q4 2000 to Q1 2025 about cash, finance, retail trade, securities, corporate, sales, retail, government, industry, and USA.

  15. F

    Median Sales Price of Houses Sold by Type of Financing, Cash Purchase

    • fred.stlouisfed.org
    json
    Updated Apr 23, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold by Type of Financing, Cash Purchase [Dataset]. https://fred.stlouisfed.org/series/MSPTFC
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 23, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Median Sales Price of Houses Sold by Type of Financing, Cash Purchase (MSPTFC) from Q1 1988 to Q1 2025 about cash, financing, finance, sales, median, housing, and USA.

  16. F

    Other Financial Information: Other Money Receipts by Occupation: Wage and...

    • fred.stlouisfed.org
    json
    Updated Sep 9, 2022
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    (2022). Other Financial Information: Other Money Receipts by Occupation: Wage and Salary Earners: Technological, Sales, and Clerical Workers [Dataset]. https://fred.stlouisfed.org/series/CXUOTHRMONYLB1205M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 9, 2022
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Other Financial Information: Other Money Receipts by Occupation: Wage and Salary Earners: Technological, Sales, and Clerical Workers (CXUOTHRMONYLB1205M) from 1984 to 2021 about clerical workers, receipts, occupation, information, salaries, financial, wages, sales, and USA.

  17. M

    Money Market Fund Sales Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 16, 2025
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    Data Insights Market (2025). Money Market Fund Sales Report [Dataset]. https://www.datainsightsmarket.com/reports/money-market-fund-sales-1962205
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global money market fund (MMF) market size was valued at USD 10.6 trillion in 2025 and is projected to grow at a CAGR of 5.7% from 2025 to 2033. The primary drivers of this growth include increasing demand for short-term investments, the growing popularity of cash management products, and the expanding use of MMFs as liquidity buffers by corporations and institutional investors. Key growth trends in the MMF market include the rise of ESG-focused MMFs, the adoption of digital platforms for MMF sales and distribution, and the increasing use of MMFs as collateral for repurchase agreements (repos). However, market growth is restrained by factors such as the low interest rate environment, competition from other short-term investment options, and regulatory changes. The key market segments are direct sales and indirect sales, while the major types of MMFs include prime money funds, government money funds, treasury funds, and tax-exempt money funds. The market is dominated by large asset managers such as BlackRock Fund, Vanguard, UBS Group, Fidelity Investments, and Morgan Stanley. This report provides a comprehensive analysis of the money market fund sales industry, including its concentration, trends, key segments, and growth drivers.

  18. d

    Consumer Review Data - Trustpilot (EU and USA)

    • datarade.ai
    Updated Aug 21, 2023
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    Growth Marketing (2023). Consumer Review Data - Trustpilot (EU and USA) [Dataset]. https://datarade.ai/data-products/consumer-review-data-trustpilot-custom-growth-marketing
    Explore at:
    .json, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Growth Marketing
    Area covered
    United States
    Description

    We have a comprehensive database of 100 most-selling companies for each country (in Europe and USA) for each market segment. We can integrate companies based on your specific needs and provide additional insights blending them with other market data.

    The market segments we cover are: Animals & Pets Animal Health Animal Parks & Zoo Cats & Dogs Horses & Riding Pet Services Pet Stores Beauty & Well-being Cosmetics & Makeup Hair Care & Styling Personal Care Salons & Clinics Tattoos & Piercings Wellness & Spa Yoga & Meditation Business Services Administration & Services Associations & Centers HR & Recruiting Import & Export IT & Communication Office Space & Supplies Print & Graphic Design Research & Development Sales & Marketing Shipping & Logistics Wholesale Construction & Manufacturing Architects & Engineers Building Materials Chemicals & Plastic Construction Services Contractors & Consultants Factory Equipment Garden & Landscaping Industrial Supplies Manufacturing Production Services Tools & Equipment Education & Training Colleges & Universities Courses & Classes Education Services Language Learning Music & Theater Classes School & High School Specials Schools Vocational Training Electronics & Technology Appliances & Electronics Audio & Visual Computers & Phones Internet & Software Repair & Services Events & Entertainment Adult Entertainment Children's Entertainment Clubbing & Nightlife Events & Venues Gambling Gaming Museums & Exhibits Music & Movies Theater & Opera Wedding & Party Food, Beverages & Tobacco Agriculture & Produce Asian Grocery Stores Bakery & Pastry Beer & Wine Beverages & Liquor Candy & Chocolate Coffee & Tea Food Production Fruits & Vegetables Grocery Stores & Markets Lunch & Catering Meat, Seafood & Eggs Smoking & Tobacco Health & Medical Clinics Dental Services Diagnostics & Testing Doctors & Surgeons Health Equipment Hospital & Emergency Medical Specialists Mental Health Pharmacy & Medicine Physical Aids Pregnancy & Children Therapy & Senior Health Vision & Hearing Hobbies & Crafts Art & Handicraft Astrology & Numerology Fishing & Hunting Hobbies Metal, Stone & Glass Work Music & Instruments Needlework & Knitting Outdoor Activities Painting & Paper Home & Garden Bathroom & Kitchen Cultural Goods Decoration & Interior Energy & Heating Fabric & Stationery Furniture Stores Garden & Pond Home & Garden Services Home Goods Stores Home Improvements Home Services Cleaning Service Providers Craftsman House Services House Sitting & Security Moving & Storage Plumbing & Sanitation Repair Service Providers Legal Services & Government Customs & Toll Government Department Law Enforcement Lawyers & Attorneys Legal Service Providers Libraries & Archives Municipal Department Registration Services Media & Publishing Books & Magazines Media & Information Photography Video & Sound Money & Insurance Accounting & Tax Banking & Money Credit & Debt Services Insurance Investments & Wealth Real Estate Public & Local Services Employment & Career Funeral & Memorial Housing Associations Kids & Family Military & Veteran Nature & Environment Professional Organizations Public Services & Welfare Religious Institutions Shelters & Homes Waste Management Restaurants & Bars African & Pacific Cuisine Bars & Cafes Chinese & Korean Cuisine European Cuisine General Restaurants Japanese Cuisine Mediterranean Cuisine Middle Eastern Cuisine North & South American Cuisine Southeast Asian Cuisine Takeaway Vegetarian & Diet Shopping & Fashion Accessories Clothing & Underwear Clothing Rental & Repair Costume & Wedding Jewelry & Watches Malls & Marketplaces Sports Ball Games Bat-and-ball Games Bowls & Lawn Sports Dancing & Gymnastics Equipment & Associations Extreme Sports Fitness & Weight Lifting Golf & Ultimate Hockey & Ice Skating Martial arts & Wrestling Outdoor & Winter Sports Shooting & Target Sports Swimming & Water Sports Tennis & Racquet Sports Travel & Vacation Accommodation & Lodging Activities & Tours Airlines & Air Travel Hotels Travel Agencies Utilities Energy & Power Oil & Fuel Water Utilities Vehicles & Transportation Air & Water Transport Airports & Parking Auto Parts & Wheels Bicycles Cars & Trucks Motorcycle & Powersports Other Vehicles & Trailers Taxis & Public Transport Vehicle Rental Vehicle Repair & Fuel

    Fields available for each shop since the date of the first review on Trustpilot:

    • businessUrl
    • companyName
    • reviewDate
    • verified
    • reviewTitle
    • reviewDescription
    • reviewRating
    • reviewCountry
    • reviewLanguage
    • reviewCompanyResponse
    • consumerAvatar
    • consumerName
    • reviewUrl
  19. T

    United States - Average Sales Price of Houses Sold by Type of Financing,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 12, 2018
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    TRADING ECONOMICS (2018). United States - Average Sales Price of Houses Sold by Type of Financing, Cash Purchase [Dataset]. https://tradingeconomics.com/united-states/average-sales-price-of-houses-sold-by-type-of-financing-cash-purchase-fed-data.html
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Mar 12, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Average Sales Price of Houses Sold by Type of Financing, Cash Purchase was 558600.00000 $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Average Sales Price of Houses Sold by Type of Financing, Cash Purchase reached a record high of 615200.00000 in January of 2024 and a record low of 120900.00000 in April of 1988. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Sales Price of Houses Sold by Type of Financing, Cash Purchase - last updated from the United States Federal Reserve on July of 2025.

  20. Sales_data

    • kaggle.com
    Updated Feb 27, 2020
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    Manorama (2020). Sales_data [Dataset]. https://www.kaggle.com/manovirat/groceries-sales-data/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 27, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Manorama
    Description

    Context

    ABC grocery store line has opened a new store in January 2018. Now, they would like to understand the sales pattern for that store so that they should invest more money or they should open store at some other place.

    Content

    The data consists of daily sales data for 2 years from Feb, 2018 to Feb,2020. There are 2 columns 1. Date 2. Sales in dollars

    The objective of this data-set is to predict future sales for the particular store so that they optimize the investment plan accordingly.

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McGRAW (2023). Merchant Cash Advance B2B Data | MCA Leads & MCA Data | 75MM Business Records [Dataset]. https://datarade.ai/data-products/mcgraw-merchant-cash-advance-b2b-data-mca-leads-mca-data-mcgraw

Merchant Cash Advance B2B Data | MCA Leads & MCA Data | 75MM Business Records

Explore at:
.xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset updated
Feb 18, 2023
Dataset authored and provided by
McGRAW
Area covered
United States of America
Description

Unlock the potential of your funding business with our exclusive merchant cash advance (MCA) leads. Our leads consist of business owners actively seeking additional funds to support and grow their operations. These businesses maintain a consistent flow of credit card sales and receivables, making them ideal candidates for merchant cash advances. We drive traffic to our dedicated MCA landing page through strategic pay-per-click (PPC) advertising, social media campaigns, and targeted email outreach. When prospects fill out our comprehensive long-form application, they provide valuable information that transforms them into potential clients for your sales team to convert.

Why Choose Our Aged MCA Leads?

At McGRAW, we pride ourselves on delivering aged MCA leads that offer exceptional value. Our leads are meticulously curated to help funding groups and business finance providers efficiently identify and connect with interested business owners who are eager to learn more about obtaining a merchant cash advance.

Here’s what you can expect when you invest in our aged MCA leads:

  • Opt-Ins for Merchant Cash Advance: Our leads are specifically sourced from individuals who have opted in to receive information about merchant cash advances, ensuring that you’re reaching out to genuinely interested prospects.

  • High Intent Merchants: Our leads consist of merchants with immediate funding needs, making them high-intent candidates ready to explore financing options. This translates to higher conversion rates for your business.

  • Detailed Long-Form Applications: Each lead is gathered through long-form applications that collect over 10 fields of information. This depth of data allows you to tailor your approach and better understand the needs of each potential client.

  • Competitive Cost-Per-Acquisition: We offer cost-per-acquisition (CPA) rates lower than the industry average, maximizing your return on investment and ensuring that you can scale your marketing efforts effectively.

  • Scalability and Large Quantities: Our lead generation capabilities allow for large quantities of leads, giving your team the resources needed to expand outreach efforts quickly. We can easily scale our offerings to match your business growth.

  • Diverse Lead Age Brackets: Choose from multiple lead age brackets to suit your specific targeting strategy. Whether you prefer fresh leads or aged leads, we have options to fit your needs.

  • Unsold Leads Availability: We offer access to unsold leads, providing an additional opportunity for your team to engage potential clients who may not have been contacted yet.

  • National Geographic Coverage: Our leads cover a wide geographic area across the United States, ensuring that you can target business owners in any region effectively.

  • Fast Delivery via API or Email: Enjoy quick access to your leads through our API or email delivery options. This ensures that your sales team can start engaging prospects without delay.

  • Multi-Level Compliance: Our leads are generated in accordance with multi-level compliance standards, ensuring that your outreach efforts adhere to regulatory requirements and best practices.

  • Proven Campaign Tactics: We provide strategies for effective telemarketing, texting, emailing, and ringless voicemail (RVM) campaigns. Our team has honed these tactics to ensure optimal engagement and conversion rates.

Transform Your Business with Quality Leads

By investing in our aged MCA leads, you empower your business to connect with motivated prospects actively seeking funding. Our leads are not just data points; they represent opportunities for growth and success. With our targeted approach and comprehensive data solutions, you can enhance your marketing strategies and drive revenue growth.

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