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FoodPanda Food & Grocery Transaction Data | Email Receipt Data | Asia | Granular & Aggregate Data available

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https://datarade.ai/data-products/foodpanda-food-grocery-transaction-data-email-receipt-dat-measurable-ai
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资源简介:
The Measurable AI FoodPanda Food & Grocery Transaction dataset is a leading source of email receipts and transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users. We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients. *Use Cases* Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better. *Coverage* - Asia (Hong Kong, Taiwan, Singapore, Thailand, Malaysia, Philippines, Pakistan) *Granular Data* Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more *Aggregate Data* - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from the FoodPanda food delivery app to users’ registered accounts. Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia. Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact [email protected] for a data dictionary and to find out our volume in each country.
提供机构:
Measurable AI
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集提供来自FoodPanda的食品和杂货交易电子邮件收据数据,覆盖亚洲多个地区,包括细粒度的交易级别信息和聚合统计数据,可用于市场分析、用户行为洞察等用途。数据通过消费者应用收集,经过匿名化和聚合处理,符合GDPR规范。
以上内容由遇见数据集搜集并总结生成
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