Opah Labs | Delivery & Ecommerce Data | North America | Bi-Weekly Updates (Consumer Data w/ 965M Records) | 3227

Opah labs 3227 specializes in providing third-party software solutions for last-mile delivery services in North America, excluding the United States. Established in 2015, their primary focus is on business-to-business (B2B) services. Their platform streamlines delivery operations, overseeing orders, drivers, and historical data, including Ecommerce data. They have a database containing 5,632,203 records spanning from August 5, 2021, to March 23, 2022, with no duplicates. They serve 1,134,167 unique users, with an 82.30% similarity rate. Their mission is to enhance last-mile delivery efficiency through software and data-driven solutions. The data is sourced from an application that facilitates various deliveries, acting as a backend for providers. The company offers ETL services and can adjust delivery frequency, including daily collection. It has data coverage for Ozempic, Saxenda, Orlistat, and Hydrogel. The dataset includes prescription delivery data and consumer goods data for users. This information offers insights into geographical transactions at a consumer level, with implications for consumer behavior and publicly traded companies. Restaurant & Food Delivery Transaction Data is part of Opah 3227's comprehensive dataset, providing valuable insights into the dynamics of the food delivery industry. | 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 | Data Points | With an impressive average of over 1,255,918 unique users. Key fields include Location, Payment Method, transit times, branch locations, and products. | Use Cases | Pharma, Restaurant & Food Delivery Transaction, Ecommerce Pharma Data pertaining to the pharmaceutical industry. Restaurant & Food Delivery Transaction Details of transactions in the restaurant and food delivery sector. Ecommerce Online transactions, including products, purchases, and customer behavior, vital for optimizing online retail operations. | Data Use Cases | Understand consumer purchasing and delivery behavior within the Mexico market Data provides insights into pharmaceutical usage within the Mexico Market Insights into food consumption and food delivery usage Insights into delivery applications transactions within the Mexico market, Rappi, Uber Eats, Ivoy, etc Verified delivery consumer, email address, address information, etc Geospatial, latitude, longitude, ping data coordinate values for consumers with timestamps Geospatial, latitude, longitude, ping data coordinate values for delivery drivers Insights into Mexico Farmacia brands delivery transactions Insights to build targeted marketing campaigns for Mexico market consumers | 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: Third-party software, On-Demand delivery, Last-mile, Drivers, Transit times, Branch locations, Products, Payments, Customer data, Food delivery, E-commerce, Pharmacy, Prescription action, Order processing, Efficiency, Customer behavior, Demand forecasting, Route optimization.

搜集汇总

背景与挑战

背景概述

该数据集由Opah Labs提供，专注于北美地区（除美国外）的最后一英里配送和电商消费者数据，涵盖配送交易、电商及药品信息，包含约9.65亿条记录并每两周更新。数据源自应用程序后端，格式包括JSON、XLS和CSV，关键字段涉及地理位置、支付方式和用户行为，适用于分析消费者购买模式、市场洞察及优化零售和配送运营。此外，它支持多种交付选项并提供免费样本，助力医药、餐饮配送和电商等行业的针对性营销与效率提升。