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[SAMPLE] PG | Online Purchase Data | US& Canada, $742M montly volume, 105M Transaction | Online ...

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https://marketplace.databricks.com/details/e34bd2a1-ee9c-44c9-9f78-defa322459cf/PG_SAMPLE-PG-Online-Purchase-Data-US&-Canada,-$742M-montly-volume,-105M-Transaction-Online-
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Our Online Purchase Data spans 9 years, encompassing 105 million transactions from 128k users, offering unparalleled depth and precision. This data provides businesses with detailed insights into transaction patterns and demographics, allowing for accurate predictions of spending behavior and identity verification. Data collection occurs when users link their bank accounts to our platform, with aggregation powered by Finicity and Plaid. Key Features of the Online Purchase Data: - Transaction Details: Includes transaction date, amount, merchant information, currency, and recurring transactions. - User-Specific Data: Includes user location (country, city, state, zip code) and spending habits, seen in both debit and credit card transactions. - Demographic Information: Gender, birth year, marital status, employment status, and credit score, supporting rich demographic insights. - Identity Verification: Online Purchase Data for secure identification, aiding in accurate identity checks and credit assessments. Key Uses of Online Purchase Data: - Sales Analysis: Utilize Online Purchase Data and Sales Data to analyze transaction trends, uncover sales patterns, and enhance sales strategies. - Ecommerce Analysis: Leverage Ecommerce Data and Ecommerce Purchases Data to gain insights into consumer behavior, helping businesses optimize online shopping experiences. - Purchase Intelligence: Use Ecommerce Product Data to better understand purchase behaviors, allowing for more targeted and effective product offerings and marketing campaigns. - Spending Analytics: Analyze Online Purchase Data and Ecommerce Purchases Data to identify spending trends, supporting improved financial management and budgeting. - Purchase Behavior Analytics: Study Sales Data and Ecommerce Data to understand purchasing habits and preferences, informing product development and personalized marketing efforts.
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PG
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