[SAMPLE] PG | Ecommerce Data | 128k users, 105M Transactions | Ecommerce Data ideal for ...

Our Ecommerce Data spans 9 years and encompasses 105 million transactions from 128k users, offering exceptional depth and quality. This detailed transaction-level data, combined with demographic insights, helps companies uncover behavioral patterns, forecast spending habits, and confidently perform identity verification.

How is our Ecommerce Data collected?
Users link their bank accounts to our platform, and we aggregate their Ecommerce Data through integrations with Finicity and Plaid.

Key Features of the Ecommerce Data:

- Transaction Details: Includes posted date, transaction amount, merchant details, currency, and whether the transaction is recurring.
- User-Specific Data: Covers user location (country, city, state, zip code) and spending behaviors, represented in Online Purchase Data, Sales Data, Ecommerce Purchases Data, and Ecommerce Product Data.
- Demographic Attributes: Information such as gender, birth year, marital status, employment status, and credit score, offering a deeper look into Ecommerce Product Data and Online Purchase Data.
- Verification Insights: Insights derived from Sales Data and Ecommerce Purchases Data help assess transaction authenticity and user behavior, providing reliable information for identity verification and fraud prevention.

Primary Applications of Ecommerce Data:

- Sales Analysis: Leverage Sales Data and Ecommerce Purchases Data to analyze consumer buying behaviors and optimize sales strategies based on transactional insights.
- Ecommerce Analysis: Use Ecommerce Data and Ecommerce Product Data to uncover patterns in ecommerce shopping habits, helping businesses tailor their offerings and improve customer engagement.
- Purchase Intelligence: Employ Online Purchase Data and Sales Data to track purchasing behaviors, identifying key trends for targeted marketing and better product placement.
- Spending Analytics: Analyze Online Purchase Data and Ecommerce Purchases Data to predict consumer spending habits, helping businesses plan pricing, promotions, and inventory.
- Purchase Behavior Analytics: Use Ecommerce Product Data to examine consumer preferences and develop data-driven strategies for product development and marketing.