Uber Ride Hailing/ Ride-Sharing Transactional Granular Email Receipt Ride | Global coverage across Southeast Asia, Asia, Middle East, LATAM, USA

Granular transaction-level receipt data for ride hailing industry across key players such as Uber, Lyft, Grab, Didi, 99, Gojek, etc. particularly focusing on the emerging markets : South East Asia, Latin America, Middle East, India, and Japan. Metrics included such as : distance travelled, average order value, frequency of rides, service fee, tips, promotional discounts, geolocation data etc. Most of our clients consist of the key ride hailing players in the industry, as well as financial institutions, market research agencies, consultancies, academia. Feel free to refer to our blog on our website to see what type of consumer insights can be extracted from our dataset.

本数据集涵盖优步（Uber）、来福车（Lyft）、Grab、滴滴出行（Didi）、99、Gojek等行业头部平台的网约车领域细粒度交易级收据数据，尤其聚焦东南亚、拉丁美洲、中东、印度及日本等新兴市场。数据集涵盖的统计指标包括行驶里程、平均订单金额、乘车频次、服务费、小费、促销折扣及地理定位数据等。本数据集的服务客户主要为行业内头部网约车平台、金融机构、市场调研机构、咨询公司及学界。您可访问我方官方网站的博客板块，了解可从本数据集提取的各类消费者洞察。

搜集汇总

背景与挑战

背景概述

该数据集提供全球网约车行业的细粒度交易收据数据，覆盖Uber、Lyft等主要平台在东南亚、拉丁美洲等新兴市场的运营情况，包含行程距离、订单价值、服务费等多个关键指标。它主要服务于网约车企业、金融机构及研究机构，用于提取消费者洞察。