Opah labs | LATAM Business | Ecommerce Data | 122M+ records | 1331

Opah Labs 1331, Innovative B2B2C platform tackles the scarcity of Hispanic grocers and restaurants in U.S. urban centers. It sources authentic Hispanic groceries and meals from vertical warehouses. With high user engagement, it effectively serves a broad user base in Latam. The dataset, resembling an ecommerce data or mobile app dataset, includes user accounts, transactions, and events with details like authentication, personal information, transaction history, geolocation, and event timestamps. These insights inform strategic decisions and enhance user experiences in the dynamic Hispanic food market landscape. | Volume and Stats | Industry records undergo an unmatched refresh every two weeks. Many prominent sales and marketing platforms rely on curating firsthand data. Delivery formats: JSON, XLS, CSV | Datapoints | With an impressive average of over 1,039,969 unique users. Key fields include Email Address, Mobile Phone Number, Geographic Location, Payment Method, Address, Registered Information, and additional particulars. | Use Cases | Ecommerce, Event, IP to Geolocation, Mobile App Enhances customer experience by tailoring recommendations based on IP to Geolocation data. Streamlines event planning by analyzing attendee origins through IP to Geolocation data. Enables targeted marketing campaigns based on users' geographical locations. Enhances user experience by adapting app content based on users' current geolocation. | Delivery Options | Choose from various delivery options such as flat files, databases, APIs, and more, tailored to your needs. | Other key features | Free data samples Tags: B2B2C Platform, Hispanic Grocers, Authentic Hispanic Food, User Engagement, Latam User Base, Ecommerce Dataset, Mobile Application Insights, User Behavior, User Experiences, Strategic Decisions, Hispanic Food Market Landscape.

搜集汇总

背景与挑战

背景概述

该数据集来自Opah Labs的1331项目，是一个针对拉丁美洲市场的B2B2C电商平台数据集，包含超过1.22亿条记录，涵盖用户账户、交易和事件信息，如认证数据、个人信息、交易历史及地理位置。数据每两周更新一次，提供JSON、XLS和CSV格式，可用于电商分析、地理位置营销和移动应用优化，以增强用户体验和战略决策。