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DoorDash Consumer Transaction Data | Restaurant & Food Delivery Tra...
DoorDash Consumer Transaction Data | Restaurant & Food Delivery Transaction D...
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DoorDash Consumer Transaction Data | Restaurant & Food Delivery Transaction Data | Asia, Americas | Granular & Aggregate Data available product image in hero

DoorDash Consumer Transaction Data | Restaurant & Food Delivery Transaction Data | Asia, Americas | Granular & Aggregate Data available

Measurable AI
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Data Samples
Doordash Sample - Sep 2021.csv
#
accountEmailId
receivedDate
receiptId
uniqueId
orderId
orderType
totalPriceUSD
totalChargedUSD
paymentMethod
countryCode
country
pickupTime
pickupTimezoneOffset
pickupTimeHasTimeZone
dropoffTimeHasTimeZone
Drop off city
Drop off Postcode
restaurant
deliveryFee
deliveryFeeUSD
priceItems
productItems
driverId
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx
2 xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx
3 xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx
4 Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx
5 xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx
6 xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxx
7 xxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxx Xxxxx Xxxxxxx Xxxxx Xxxxxx Xxxxx Xxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx xxxxxxxxx
8 Xxxxx xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx
9 Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxx xxxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx
10 xxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx Xxxxx xxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx xxxxx xxxxx
... Xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxx Xxxxx xxxxxxxxx xxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxxx
Sign In To Preview Data
Doordash Sample - Sep 2021.csv
Avail. Formats
.json, .xml, and .csv
File
Coverage
2
Countries
History
6
years

Data Dictionary

[Sample] Doordash Sample - Sep 2021.csv
Attribute Type Example Mapping
accountEmailId
 Integer 3740146182
receivedDate
 Integer 1630426109
receiptId
 String 1b5d6e6ea7dbccb1b9a2f55c91c0a099cfe472e13284b219c906b42b4...
uniqueId
 String Qa6fBocf8aPjx4HZ6EGLn2XLCZ6Hmly8uo5g2J4pYbg=
orderId
 String edba62c6-9c32-413e-8e4a-1ce2351a91f0
orderType
totalPriceUSD
 Float 21.55
totalChargedUSD
 Float 21.55
paymentMethod
 String apple pay
countryCode
 String US Country Code Alpha-2
country
 String United States
pickupTime
 Integer 0
pickupTimezoneOffset
 Integer 0
pickupTimeHasTimeZone
 Boolean f
dropoffTimeHasTimeZone
 Boolean f
Drop off city
 String San Jose
Drop off Postcode
 String CA 95131
restaurant
 String Chowking
deliveryFee
 Integer 0
deliveryFeeUSD
 Integer 0
priceItems
 String [{"itemType":6,"price":12.51,"priceLabel":"$12.51","price...
productItems
 String [{"imageURL":"","price":8.04,"priceLabel":"$8.04","priceN...
driverId

Description

DoorDash Restaurant & Food Delivery data provides accurate consumer insights and understanding of industry trends based on restaurant & food delivery transaction data.
The Measurable AI DoorDash Restaurant & Food Delivery Dataset is a leading source of email receipts and transaction data, 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 (Japan) - Americas (United States) *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 DoorDash 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 business@measurable.ai for a data dictionary and to find out our volume in each country.

Country Coverage

Asia (1)
Japan
North America (1)
United States of America

History

6 years of historical data

Pricing

Measurable AI has not published pricing information for this product yet. You can request detailed pricing information below.
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
REST API
Frequency
daily
weekly
monthly
quarterly
yearly
Format
.json
.xml
.csv

Use Cases

Categories

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Frequently asked questions

What is DoorDash Consumer Transaction Data Restaurant & Food Delivery Transaction Data Asia, Americas Granular & Aggregate Data available?

DoorDash Restaurant & Food Delivery data provides accurate consumer insights and understanding of industry trends based on restaurant & food delivery transaction data.

What is DoorDash Consumer Transaction Data Restaurant & Food Delivery Transaction Data Asia, Americas Granular & Aggregate Data available used for?

This product has 5 key use cases. Measurable AI recommends using the data for Investing, Consumer Intelligence, Market Intelligence, Alternative Investment, and Customer Insights. Global businesses and organizations buy Alternative Data from Measurable AI to fuel their analytics and enrichment.

Who can use DoorDash Consumer Transaction Data Restaurant & Food Delivery Transaction Data Asia, Americas Granular & Aggregate Data available?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Alternative Data. Get in touch with Measurable AI to see what their data can do for your business and find out which integrations they provide.

How far back does the data in DoorDash Consumer Transaction Data Restaurant & Food Delivery Transaction Data Asia, Americas Granular & Aggregate Data available go?

This product has 6 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, and yearly basis.

Which countries does DoorDash Consumer Transaction Data Restaurant & Food Delivery Transaction Data Asia, Americas Granular & Aggregate Data available cover?

This product includes data covering 2 countries like USA and Japan. Measurable AI is headquartered in Hong Kong.

How much does DoorDash Consumer Transaction Data Restaurant & Food Delivery Transaction Data Asia, Americas Granular & Aggregate Data available cost?

Pricing information for DoorDash Consumer Transaction Data Restaurant & Food Delivery Transaction Data Asia, Americas Granular & Aggregate Data available is available by getting in contact with Measurable AI. Connect with Measurable AI to get a quote and arrange custom pricing models based on your data requirements.

How can I get DoorDash Consumer Transaction Data Restaurant & Food Delivery Transaction Data Asia, Americas Granular & Aggregate Data available?

Businesses can buy Alternative Data from Measurable AI and get the data via S3 Bucket and REST API. Depending on your data requirements and subscription budget, Measurable AI can deliver this product in .json, .xml, and .csv format.

What is the data quality of DoorDash Consumer Transaction Data Restaurant & Food Delivery Transaction Data Asia, Americas Granular & Aggregate Data available?

You can compare and assess the data quality of Measurable AI using Datarade’s data marketplace. Measurable AI appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? July Edition.

What are similar products to DoorDash Consumer Transaction Data Restaurant & Food Delivery Transaction Data Asia, Americas Granular & Aggregate Data available?

This product has 3 related products. These alternatives include UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available, Consumer Edge Vision Retention Data CPG, Grocery, Food Delivery Psychographic US Transaction 100M+ Cards, 12K+ Merchants, Retail & Ecommerce, and Envestnet Yodlee’s De-Identified Restaurant and Food Delivery Transaction Data Row/Aggregate Level USA Consumer Data covering 3600+ corporations. You can compare the best Alternative Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

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Transactional e-receipts data for emerging markets
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